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huggingface/diffusers | 3,835,635,653 | I_kwDOHa8MBc7knyfF | 13,005 | https://github.com/huggingface/diffusers/issues/13005 | https://api.github.com/repos/huggingface/diffusers/issues/13005 | Add Flux.2 Klein Inpaint pipeline | The currently implemented `Flux2KleinPipeline` supports txt2img and img2img, however there isn't an option to pass a mask image to it.
A `Flux2KleinInpaintPipeline` would be most useful to address this case and allow to use the model to its full extent. | closed | completed | false | 6 | [
"contributions-welcome"
] | [] | 2026-01-20T21:58:07Z | 2026-04-17T21:34:38Z | 2026-04-17T21:34:38Z | NONE | null | 20260417T213540Z | 2026-04-17T21:35:40Z | Natans8 | 52,584,161 | MDQ6VXNlcjUyNTg0MTYx | User | false |
huggingface/diffusers | 3,836,986,116 | I_kwDOHa8MBc7ks8ME | 13,008 | https://github.com/huggingface/diffusers/issues/13008 | https://api.github.com/repos/huggingface/diffusers/issues/13008 | Support for Multi-Image Input LoRA Training Pipeline for FLUX.2-Klein (e.g., Style Transfer and Multi-Subject Composition) | ### Model/Pipeline/Scheduler description
I would like to request official support in Diffusers for a multi-image input LoRA training pipeline targeting the FLUX.2 Klein model. It seems that existing LoRA training pipelines are designed around single-image conditioning, which limits their applicability for tasks that n... | open | reopened | false | 2 | [] | [] | 2026-01-21T07:38:21Z | 2026-02-12T10:00:37Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | qizhuzhuang | 99,869,906 | U_kgDOBfPk0g | User | false |
huggingface/diffusers | 3,837,370,913 | I_kwDOHa8MBc7kuaIh | 13,009 | https://github.com/huggingface/diffusers/issues/13009 | https://api.github.com/repos/huggingface/diffusers/issues/13009 | Question about VAE_IMAGE_SIZE and CONDITION_IMAGE_SIZE constants in pipeline_qwenimage_edit_plus.py | I noticed that in the implementation of pipeline_qwenimage_edit_plus.py, the following image size parameters are hardcoded:
```
CONDITION_IMAGE_SIZE = 384 * 384
VAE_IMAGE_SIZE = 1024 * 1024
```
(Reference: [pipeline_qwenimage_edit_plus.py](https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/qwen... | open | null | false | 0 | [] | [] | 2026-01-21T09:30:42Z | 2026-01-21T09:30:42Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | gobigrassland | 23,277,618 | MDQ6VXNlcjIzMjc3NjE4 | User | false |
huggingface/diffusers | 1,450,433,255 | I_kwDOHa8MBc5Wc9rn | 1,301 | https://github.com/huggingface/diffusers/issues/1301 | https://api.github.com/repos/huggingface/diffusers/issues/1301 | method to prepare offline cache | `.from_pretrained()` can work in offline mode by loading from the cache, but we lack a method to explicitly populate that cache.
I'd like something along the lines of `.cache_pretrained_for_offline()` that fetches all the files necessary for `.from_pretrained()` but doesn't actually load the weights.
Use cases wo... | closed | completed | false | 8 | [
"stale"
] | [] | 2022-11-15T22:00:07Z | 2022-12-31T15:03:26Z | 2022-12-31T15:03:26Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | keturn | 83,819 | MDQ6VXNlcjgzODE5 | User | false |
huggingface/diffusers | 3,840,965,054 | I_kwDOHa8MBc7k8Hm- | 13,015 | https://github.com/huggingface/diffusers/issues/13015 | https://api.github.com/repos/huggingface/diffusers/issues/13015 | [Bug] QwenImageEditPlus series error `Expected all tensors to be on the same device` on NPU | ### Describe the bug
While testing Qwen-Image-Edit-2509, the **'Expected all tensors to be on the same device'** error occurred within `compute_text_seq_len_from_mask`
https://github.com/huggingface/diffusers/blob/7a02fadad322788c64f3b61f1bb660aef8c458a9/src/diffusers/models/transformers/transformer_qwenimage.py#L167... | closed | completed | false | 0 | [
"bug"
] | [] | 2026-01-22T02:44:37Z | 2026-02-17T03:40:41Z | 2026-02-17T03:40:41Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | zhangtao0408 | 226,464,153 | U_kgDODX-RmQ | User | false |
huggingface/diffusers | 3,841,026,013 | I_kwDOHa8MBc7k8Wfd | 13,016 | https://github.com/huggingface/diffusers/issues/13016 | https://api.github.com/repos/huggingface/diffusers/issues/13016 | [Feature] Support QwenImageEditPlus series attention mask for NPU | # Problem related
https://github.com/huggingface/diffusers/blob/7a02fadad322788c64f3b61f1bb660aef8c458a9/src/diffusers/models/transformers/transformer_qwenimage.py#L938-L946
Since PR #12702 introduced the attention mask to QwenImageEditPlus Series, the current `_native_npu` backend attention implementation does not su... | closed | completed | false | 2 | [] | [] | 2026-01-22T03:07:56Z | 2026-02-17T03:40:41Z | 2026-02-17T03:40:41Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | zhangtao0408 | 226,464,153 | U_kgDODX-RmQ | User | false |
huggingface/diffusers | 1,450,489,756 | I_kwDOHa8MBc5WdLec | 1,302 | https://github.com/huggingface/diffusers/issues/1302 | https://api.github.com/repos/huggingface/diffusers/issues/1302 | NCSNPP checkpoint conversion script | I tried to convert the cifar10 ncsnpp original checkpoint [here](https://drive.google.com/drive/folders/1b0gy_LLgO_DaQBgoWXwlVnL_rcAUgREh) to the diffusers model using `convert_ncsnpp_original_checkpoint_to_diffusers.py` but found an error:
`Traceback (most recent call last):
File "convert_ncsnpp_original_checkpo... | closed | completed | false | 2 | [
"stale"
] | [] | 2022-11-15T22:48:59Z | 2022-12-24T15:03:12Z | 2022-12-24T15:03:12Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | karimul | 5,180,710 | MDQ6VXNlcjUxODA3MTA= | User | false |
huggingface/diffusers | 3,857,395,467 | I_kwDOHa8MBc7l6y8L | 13,032 | https://github.com/huggingface/diffusers/issues/13032 | https://api.github.com/repos/huggingface/diffusers/issues/13032 | allow cpu-only support for "diffusers" ? | null | open | null | false | 1 | [] | [] | 2026-01-26T19:46:37Z | 2026-01-26T21:28:02Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | israelandrewbrown | 177,260,866 | U_kgDOCpDJQg | User | false |
huggingface/diffusers | 3,858,529,577 | I_kwDOHa8MBc7l_H0p | 13,034 | https://github.com/huggingface/diffusers/issues/13034 | https://api.github.com/repos/huggingface/diffusers/issues/13034 | [Bug] WanPipeline `height` and `width` | ### Describe the bug
WanPipeline, WanImageToVideoPipeline, checks `height` and `width` to be multiple of `16`, but actually must be multiple of `32`.
Two possible solutions:
(1) fix `check_inputs` method to force `height` and `width` to be multiples of `32`.
(2) Add the following code in `inference` method to fix `... | closed | completed | false | 4 | [
"bug"
] | [] | 2026-01-27T02:42:31Z | 2026-01-29T02:06:59Z | 2026-01-29T02:06:59Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | Jayce-Ping | 93,087,577 | U_kgDOBYxnWQ | User | false |
huggingface/diffusers | 3,858,999,967 | I_kwDOHa8MBc7mA6qf | 13,035 | https://github.com/huggingface/diffusers/issues/13035 | https://api.github.com/repos/huggingface/diffusers/issues/13035 | cannot import name 'MT5Tokenizer' from 'transformers' | ### Describe the bug
When using diffusers with transformers, it shows this bug:
E RuntimeError: Failed to import diffusers.pipelines.auto_pipeline because of the following error (look up to see its traceback):
E Failed to import diffusers.pipelines.hunyuandit.pipeline_hunyuandit because of the following error (lo... | closed | completed | false | 7 | [
"bug"
] | [] | 2026-01-27T06:12:34Z | 2026-03-04T17:29:27Z | 2026-03-04T17:29:27Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | n1ck-guo | 110,074,967 | U_kgDOBo-cVw | User | false |
huggingface/diffusers | 1,450,776,301 | I_kwDOHa8MBc5WeRbt | 1,304 | https://github.com/huggingface/diffusers/issues/1304 | https://api.github.com/repos/huggingface/diffusers/issues/1304 | How to train text guided image to image stable diffusion? |
This repository has https://github.com/huggingface/diffusers/tree/main/examples/text_to_image to do text to image training method? How to do image to image finetuning or training with text guided? Is there any example?
| closed | completed | false | 2 | [
"stale"
] | [] | 2022-11-16T03:28:56Z | 2022-12-24T15:03:10Z | 2022-12-24T15:03:10Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | StrugglingForBetter | 20,771,340 | MDQ6VXNlcjIwNzcxMzQw | User | false |
huggingface/diffusers | 3,864,231,967 | I_kwDOHa8MBc7mU4Af | 13,043 | https://github.com/huggingface/diffusers/issues/13043 | https://api.github.com/repos/huggingface/diffusers/issues/13043 | [Bug] `no kernel image is available for execution on the device` when using sage_hub attention backend on RTX 5090 (Blackwell, sm_120) | ### Describe the bug
When enabling the experimental sage_hub attention backend on RTX 5090 (Blackwell architecture, compute capability 12.0) with PyTorch 2.8 + CUDA 12.9, inference fails with CUDA kernel compatibility error:
```bash
Error no kernel image is available for execution on the device at line 73 in file /src... | open | null | false | 6 | [
"bug"
] | [
"sayakpaul"
] | 2026-01-28T08:35:07Z | 2026-03-09T10:00:37Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | timeuser4 | 167,759,220 | U_kgDOCf_NdA | User | false |
huggingface/diffusers | 1,451,185,803 | I_kwDOHa8MBc5Wf1aL | 1,305 | https://github.com/huggingface/diffusers/issues/1305 | https://api.github.com/repos/huggingface/diffusers/issues/1305 | Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models | ### Model/Pipeline/Scheduler description
https://arxiv.org/abs/2211.07825
Could be cool to try to build a pipeline with this :-)
### Open source status
- [ ] The model implementation is available
- [ ] The model weights are available (Only relevant if addition is not a scheduler).
### Provide useful links f... | closed | completed | false | 2 | [
"New pipeline/model"
] | [] | 2022-11-16T09:09:30Z | 2024-11-21T11:29:54Z | 2024-11-21T11:29:54Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | patrickvonplaten | 23,423,619 | MDQ6VXNlcjIzNDIzNjE5 | User | false |
huggingface/diffusers | 3,868,938,790 | I_kwDOHa8MBc7mm1Im | 13,053 | https://github.com/huggingface/diffusers/issues/13053 | https://api.github.com/repos/huggingface/diffusers/issues/13053 | [Feature] Support Unipic 3.0 Pipeline | **Is your feature request related to a problem? Please describe.**
Yes. Currently, there is no native pipeline in diffusers that supports Unified Multi-Image Conditioning as proposed in UniPic 3.0. https://huggingface.co/Skywork/Unipic3
**Describe the solution you'd like.**
I propose adding a UniPic 3.0–style pipeline... | open | null | false | 0 | [] | [] | 2026-01-29T05:39:30Z | 2026-04-01T10:01:15Z | null | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | Ando233 | 74,404,658 | MDQ6VXNlcjc0NDA0NjU4 | User | false |
huggingface/diffusers | 3,881,178,887 | I_kwDOHa8MBc7nVhcH | 13,061 | https://github.com/huggingface/diffusers/issues/13061 | https://api.github.com/repos/huggingface/diffusers/issues/13061 | microsoft/vq-diffusion-ithq `variant='fp16'` is not in the main branch | FutureWarning: You are loading the variant fp16 from microsoft/vq-diffusion-ithq via `revision='fp16'`. This behavior is deprecated and will be removed in diffusers v1. One should use `variant='fp16'` instead. However, it appears that microsoft/vq-diffusion-ithq currently does not have the required variant filenames in... | closed | completed | false | 0 | [] | [] | 2026-02-01T04:41:07Z | 2026-03-09T11:58:56Z | 2026-03-09T11:58:56Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | GabbySuwichaya | 49,115,268 | MDQ6VXNlcjQ5MTE1MjY4 | User | false |
huggingface/diffusers | 3,883,612,026 | I_kwDOHa8MBc7nezd6 | 13,062 | https://github.com/huggingface/diffusers/issues/13062 | https://api.github.com/repos/huggingface/diffusers/issues/13062 | Do not support onnxruntime-windowsml | ### Describe the bug
Do not support onnxruntime-windowsml
### Reproduction
install https://pypi.org/project/onnxruntime-windowsml/ and it will not work
### Logs
```shell
```
### System Info
latest
### Who can help?
@asomoza | open | null | false | 0 | [
"bug"
] | [] | 2026-02-02T02:33:50Z | 2026-02-02T02:33:50Z | null | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | xieofxie | 2,876,650 | MDQ6VXNlcjI4NzY2NTA= | User | false |
huggingface/diffusers | 3,886,617,488 | I_kwDOHa8MBc7nqROQ | 13,065 | https://github.com/huggingface/diffusers/issues/13065 | https://api.github.com/repos/huggingface/diffusers/issues/13065 | Qwen-Image controlnet inpaint + controlnet canny | **Is your feature request related to a problem? Please describe.**
Is it possible to load controlnet-canny and controlnet-inpaint in QWEN-image at the same time? like multi-controlnet
**Describe the solution you'd like.**
**Describe alternatives you've considered.**
**Additional context.**
| open | null | false | 1 | [] | [] | 2026-02-02T15:40:02Z | 2026-03-10T21:58:23Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | xinli2008 | 71,311,087 | MDQ6VXNlcjcxMzExMDg3 | User | false |
huggingface/diffusers | 3,888,750,462 | I_kwDOHa8MBc7nyZ9- | 13,067 | https://github.com/huggingface/diffusers/issues/13067 | https://api.github.com/repos/huggingface/diffusers/issues/13067 | [Feature] Add support for Anima | **Is your feature request related to a problem? Please describe.**
I'd like support for the recently released Anima, it seems like a very good anime model https://huggingface.co/circlestone-labs/Anima
**Describe alternatives you've considered.**
Currently only has comfyUI support as far as im aware.
<img width="1024"... | closed | completed | false | 1 | [] | [] | 2026-02-03T02:55:55Z | 2026-05-29T19:18:22Z | 2026-05-29T19:18:22Z | NONE | null | 20260529T193524Z | 2026-05-29T19:35:24Z | Metal079 | 7,731,400 | MDQ6VXNlcjc3MzE0MDA= | User | false |
huggingface/diffusers | 3,889,579,255 | I_kwDOHa8MBc7n1kT3 | 13,070 | https://github.com/huggingface/diffusers/issues/13070 | https://api.github.com/repos/huggingface/diffusers/issues/13070 | Add JiT: Just image Transformer (JiT) for Pixel-space Diffusion | Pixel-level diffusion seems to be catching up and I think `diffusers` could have a nice role to play in accelerating its adoption and research.
Code and checkpoints can be found here: https://github.com/LTH14/JiT.git.
Even though the released checkpoints were obtained with ImageNet, I believe we can support this lik... | open | null | false | 4 | [
"New pipeline/model",
"contributions-welcome"
] | [
"AlanPonnachan"
] | 2026-02-03T07:03:52Z | 2026-05-20T02:20:52Z | null | MEMBER | null | 20260520T023521Z | 2026-05-20T02:35:21Z | sayakpaul | 22,957,388 | MDQ6VXNlcjIyOTU3Mzg4 | User | false |
huggingface/diffusers | 3,892,843,992 | I_kwDOHa8MBc7oCBXY | 13,073 | https://github.com/huggingface/diffusers/issues/13073 | https://api.github.com/repos/huggingface/diffusers/issues/13073 | ZImageControlNetPipeline does not support guidance_scale>1 | ### Describe the bug
Shape mismatch issue when true CFG is enabled with controlnet:
```
File "tt.py", line 48, in <module>
image = pipe(
^^^^^
File "venv/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^... | closed | completed | false | 1 | [
"bug"
] | [] | 2026-02-03T19:33:29Z | 2026-02-07T20:40:56Z | 2026-02-07T20:40:56Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | christopher5106 | 6,875,375 | MDQ6VXNlcjY4NzUzNzU= | User | false |
huggingface/diffusers | 3,893,029,665 | I_kwDOHa8MBc7oCush | 13,074 | https://github.com/huggingface/diffusers/issues/13074 | https://api.github.com/repos/huggingface/diffusers/issues/13074 | Distributed gather crashes on PyTorch < 2.6 | ### Describe the bug
AttributeError: module 'torch' has no attribute 'accelerator' when running distributed gather on PyTorch versions < 2.6.
This error happens because `gather_size_by_comm` in `src/diffusers/models/_modeling_parallel.py` uses `torch.accelerator.current_accelerator()`, which only exists in PyTorch 2.... | open | null | false | 0 | [
"bug"
] | [] | 2026-02-03T20:17:34Z | 2026-02-03T20:17:34Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | akshatvishu | 33,392,262 | MDQ6VXNlcjMzMzkyMjYy | User | false |
huggingface/diffusers | 3,895,285,042 | I_kwDOHa8MBc7oLVUy | 13,077 | https://github.com/huggingface/diffusers/issues/13077 | https://api.github.com/repos/huggingface/diffusers/issues/13077 | ZImageControlNet.from_transformer creates a shallow copy of the transformer weights | ### Describe the bug
When using the [.from_transformer](https://github.com/huggingface/diffusers/blob/1b8fc6c5895ec73f29a5a3caf05c4fdc60450085/src/diffusers/models/controlnets/controlnet_z_image.py#L519) classmethod of the [ZImageControlNetModel](https://github.com/huggingface/diffusers/blob/1b8fc6c5895ec73f29a5a3caf0... | open | null | false | 0 | [
"bug"
] | [] | 2026-02-04T08:22:29Z | 2026-02-05T06:59:44Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | Christophernph | 48,993,170 | MDQ6VXNlcjQ4OTkzMTcw | User | false |
huggingface/diffusers | 3,895,800,498 | I_kwDOHa8MBc7oNTKy | 13,079 | https://github.com/huggingface/diffusers/issues/13079 | https://api.github.com/repos/huggingface/diffusers/issues/13079 | FLUX.2-klein: CUDA OOM when running in for loop with different image | ### Describe the bug
When using Flux2KleinPipeline for inference, running a single inference works fine and uses ~14GB VRAM. However, when running the exact same code inside a for loop, it immediately causes CUDA Out of Memory error on the first iteration, trying to allocate additional memory.
The OOM occurs specifica... | open | null | false | 4 | [
"bug"
] | [] | 2026-02-04T10:27:05Z | 2026-02-06T12:51:40Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | dangph-alala | 198,682,075 | U_kgDOC9el2w | User | false |
huggingface/diffusers | 1,451,417,155 | I_kwDOHa8MBc5Wgt5D | 1,308 | https://github.com/huggingface/diffusers/issues/1308 | https://api.github.com/repos/huggingface/diffusers/issues/1308 | [Design discussion] Diffusers schedulers/samplers & 2nd Order Schedulers | This issue is just used to collect PRs, issues, progress on 2nd order schedulers for Stable Diffusion as the community has asked a lot about this. We'll try to allocate time this or next week to think about a fitting API and will propose it here!
Currently, I'm most excited about the idea of "lying" about the times... | closed | completed | false | 25 | [
"stale",
"Good Example PR"
] | [] | 2022-11-16T11:31:42Z | 2023-07-25T09:04:37Z | 2023-01-22T15:03:15Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | patrickvonplaten | 23,423,619 | MDQ6VXNlcjIzNDIzNjE5 | User | false |
huggingface/diffusers | 3,905,230,685 | I_kwDOHa8MBc7oxRdd | 13,086 | https://github.com/huggingface/diffusers/issues/13086 | https://api.github.com/repos/huggingface/diffusers/issues/13086 | Add Nvidia NitroGen to huggingface diffusers | **Feature request**
NVIDIA's NitroGen is a groundbreaking AI model designed to play hundreds of video games autonomously across various genres. This model, developed in collaboration with MineDojo, is trained on over 40,000 hours of publicly available gameplay videos, allowing it to perform across 1,000+ games without ... | open | null | false | 1 | [] | [] | 2026-02-06T06:48:37Z | 2026-02-06T06:49:17Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | AffanBinFaisal | 115,661,779 | U_kgDOBuTb0w | User | false |
huggingface/diffusers | 3,905,677,961 | I_kwDOHa8MBc7oy-qJ | 13,087 | https://github.com/huggingface/diffusers/issues/13087 | https://api.github.com/repos/huggingface/diffusers/issues/13087 | cannot import name 'Flux2KleinPipeline' from 'diffusers' | ### Describe the bug
I encountered an issue with the diffusers library and have a question to ask: the installed diffusers library is inconsistent with its source code, as the Flux2KleinPipeline class is missing from the installed version. Could you tell me what might be the cause of this problem?
version:
root@d6fb7... | closed | completed | false | 1 | [
"bug"
] | [] | 2026-02-06T09:00:16Z | 2026-02-08T17:10:55Z | 2026-02-08T17:10:55Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | Ikkyu321 | 87,475,073 | MDQ6VXNlcjg3NDc1MDcz | User | false |
huggingface/diffusers | 3,910,642,992 | I_kwDOHa8MBc7pF60w | 13,096 | https://github.com/huggingface/diffusers/issues/13096 | https://api.github.com/repos/huggingface/diffusers/issues/13096 | RuntimeError: Tensor.item() cannot be called on meta tensors | ### Describe the bug
I'm trying to implement a simple prompt engineering using the Qwen2.5-1.5B-Instruct model from Hugging Face.
But as shown in example with RuntimeError: Tensor.item() cannot be called on meta tensors, it should work for pipelines as I'm copying from their Hugging face quickstart.
### Reproductio... | closed | completed | false | 2 | [
"bug"
] | [] | 2026-02-07T16:13:30Z | 2026-02-16T18:17:03Z | 2026-02-16T18:17:03Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | TheephopWS | 144,770,658 | U_kgDOCKEGYg | User | false |
huggingface/diffusers | 1,451,558,102 | I_kwDOHa8MBc5WhQTW | 1,310 | https://github.com/huggingface/diffusers/issues/1310 | https://api.github.com/repos/huggingface/diffusers/issues/1310 | K-Diffusion + Stable Diffusion Pipeline | ### Model/Pipeline/Scheduler description
It would be really nice to have a pipeline that integrates well with k-diffusion so that all schedulers be used out of the box will all checkpoints compatible with diffusers.
diffusers is starting to have many variations of stable diffusion but does not yet have all the sam... | closed | completed | false | 3 | [
"stale"
] | [] | 2022-11-16T12:57:40Z | 2022-12-24T15:03:07Z | 2022-12-24T15:03:07Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | patrickvonplaten | 23,423,619 | MDQ6VXNlcjIzNDIzNjE5 | User | false |
huggingface/diffusers | 3,912,572,394 | I_kwDOHa8MBc7pNR3q | 13,101 | https://github.com/huggingface/diffusers/issues/13101 | https://api.github.com/repos/huggingface/diffusers/issues/13101 | huggingface | **Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...].
**Describe the solution you'd like.**
A clear and concise description of what you want to happen.
**Describe alternatives you've considered.**
A clear and co... | closed | completed | false | 0 | [] | [] | 2026-02-08T11:30:45Z | 2026-02-23T17:15:43Z | 2026-02-23T17:15:43Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | Pediboi666 | 188,489,565 | U_kgDOCzwfXQ | User | false |
huggingface/diffusers | 3,913,552,005 | I_kwDOHa8MBc7pRBCF | 13,104 | https://github.com/huggingface/diffusers/issues/13104 | https://api.github.com/repos/huggingface/diffusers/issues/13104 | Logger is not defined | ### Describe the bug
`diffusers.quantizers.pipe_quant_config` references an undefined logger instance.
### Reproduction
Install torch, torchvision, and torchao nightly, then import `PipelineQuantizationConfig, TorchAoConfig` from `diffusers`.
### Logs
```shell
Traceback (most recent call last):
File ".venv/lib/p... | closed | completed | false | 8 | [
"bug"
] | [] | 2026-02-08T20:57:13Z | 2026-03-11T04:45:31Z | 2026-03-11T04:45:30Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | teleprint-me | 77,757,836 | MDQ6VXNlcjc3NzU3ODM2 | User | false |
huggingface/diffusers | 3,914,618,072 | I_kwDOHa8MBc7pVFTY | 13,105 | https://github.com/huggingface/diffusers/issues/13105 | https://api.github.com/repos/huggingface/diffusers/issues/13105 | Wan-AI/Wan2.1-T2V-1.3B-Diffusers output noise | ### Describe the bug
Script copied from https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B-Diffusers
```python
import torch
from diffusers import AutoencoderKLWan, WanPipeline
from diffusers.utils import export_to_video
# Available models: Wan-AI/Wan2.1-T2V-14B-Diffusers, Wan-AI/Wan2.1-T2V-1.3B-Diffusers
model_id = "Wan-... | closed | completed | false | 3 | [
"bug"
] | [] | 2026-02-09T05:58:25Z | 2026-02-26T05:05:19Z | 2026-02-26T05:05:19Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | jiqing-feng | 107,918,818 | U_kgDOBm614g | User | false |
huggingface/diffusers | 3,915,493,710 | I_kwDOHa8MBc7pYbFO | 13,106 | https://github.com/huggingface/diffusers/issues/13106 | https://api.github.com/repos/huggingface/diffusers/issues/13106 | This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread. | This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.
Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md) are likely ... | closed | completed | false | 0 | [] | [] | 2026-02-09T09:54:48Z | 2026-02-23T17:15:36Z | 2026-02-23T17:15:36Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | Pediboi666 | 188,489,565 | U_kgDOCzwfXQ | User | false |
huggingface/diffusers | 3,916,600,784 | I_kwDOHa8MBc7pcpXQ | 13,107 | https://github.com/huggingface/diffusers/issues/13107 | https://api.github.com/repos/huggingface/diffusers/issues/13107 | Flux Klein LoRA – Missing Key Errors | ### Describe the bug
It is happeing on most of the loras, i tried from civit ai
The failure occurs during Flux2 LoRA key conversion inside Diffusers, specifically in the function:
_convert_non_diffusers_flux2_lora_to_diffusers
When calling pipe.load_lora_weights(...), Diffusers attempts to convert a non-Diffusers ... | closed | completed | false | 0 | [
"bug"
] | [] | 2026-02-09T14:11:19Z | 2026-02-11T02:36:37Z | 2026-02-11T02:36:37Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | mshehzadkhan | 169,471,449 | U_kgDOChnt2Q | User | false |
huggingface/diffusers | 3,918,216,450 | I_kwDOHa8MBc7piz0C | 13,112 | https://github.com/huggingface/diffusers/issues/13112 | https://api.github.com/repos/huggingface/diffusers/issues/13112 | SkyReelsV2DiffusionForcingPipeline does not check for available packages | ### Describe the bug
typically all pipelines check for available modules, for example:
```py
if is_ftfy_available():
import ftfy
```
however, recently added
- src/diffusers/pipelines/skyreels_v2/pipeline_skyreels_v2_diffusion_forcing.py
- src/diffusers/pipelines/skyreels_v2/pipeline_skyreels_v2_diffusion_forcing... | closed | completed | false | 0 | [
"bug"
] | [] | 2026-02-09T21:23:01Z | 2026-02-10T07:26:15Z | 2026-02-10T07:26:15Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | vladmandic | 57,876,960 | MDQ6VXNlcjU3ODc2OTYw | User | false |
huggingface/diffusers | 3,926,524,919 | I_kwDOHa8MBc7qCgP3 | 13,124 | https://github.com/huggingface/diffusers/issues/13124 | https://api.github.com/repos/huggingface/diffusers/issues/13124 | train_dreambooth_lora.py -- ValueError: Attempting to unscale FP16 gradients caused by "--validation_prompt" param. | ### Describe the bug
Hello, when I directly run the training script provided in [examples/dreambooth](https://github.com/huggingface/diffusers/tree/main/examples/dreambooth), with the following command, I encounter the “Attempting to unscale FP16 gradients” error:
```
`accelerate launch examples/dreambooth/train_drea... | closed | completed | false | 2 | [
"bug"
] | [] | 2026-02-11T13:17:54Z | 2026-06-09T10:43:10Z | 2026-06-09T10:43:10Z | NONE | null | 20260609T113528Z | 2026-06-09T11:35:28Z | Xjmengnieer | 88,227,513 | MDQ6VXNlcjg4MjI3NTEz | User | false |
huggingface/diffusers | 3,937,632,567 | I_kwDOHa8MBc7qs4E3 | 13,137 | https://github.com/huggingface/diffusers/issues/13137 | https://api.github.com/repos/huggingface/diffusers/issues/13137 | Flux 2 Klein load lora weights LoKr error | ### Describe the bug
`ValueError: `original_state_dict` should be empty at this point but has original_state_dict.keys()=dict_keys(['double_blocks.0.img_attn.proj.alpha', 'double_blocks.0.img_attn.proj.lokr_w1', 'double_blocks.0.img_attn.proj.lokr_w2', 'double_blocks.0.img_attn.qkv.alpha', 'double_blocks.0.img_attn.qk... | closed | completed | false | 2 | [
"bug"
] | [] | 2026-02-13T15:07:16Z | 2026-03-04T18:03:25Z | 2026-03-04T18:03:25Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | yodo226 | 20,930,076 | MDQ6VXNlcjIwOTMwMDc2 | User | false |
huggingface/diffusers | 1,451,826,976 | I_kwDOHa8MBc5WiR8g | 1,314 | https://github.com/huggingface/diffusers/issues/1314 | https://api.github.com/repos/huggingface/diffusers/issues/1314 | Meet error when enabling xformers on windows and doing loss backward | ### Describe the bug
Get error when I enable xformers of UNet and try to do backward:
```
Traceback (most recent call last):
File "f:/diffusers-test/vae_expr.py", line 66, in <module>
loss.backward()
File "C:\Users\uuu\.virtualenvs\stable-diffusion\lib\site-packages\torch\_tensor.py", line 396, in backwar... | closed | completed | false | 19 | [
"bug",
"stale"
] | [
"patil-suraj"
] | 2022-11-16T15:39:26Z | 2023-02-04T04:24:51Z | 2023-02-04T04:24:51Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | eeyrw | 2,088,817 | MDQ6VXNlcjIwODg4MTc= | User | false |
huggingface/diffusers | 3,938,166,132 | I_kwDOHa8MBc7qu6V0 | 13,140 | https://github.com/huggingface/diffusers/issues/13140 | https://api.github.com/repos/huggingface/diffusers/issues/13140 | Qwen Edit Plus + Qwen Edit pipelines fail (TypeError: argument of type 'NoneType' is not iterable) | ### Describe the bug
When I take the example given at the [beginning of the file](https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/qwenimage/pipeline_qwenimage_edit.py#L46), I get the following error:
```
File "/workspace/diffusers/test_loras/qwenimageplus.py", line 6, in <module>
pipe... | closed | completed | false | 7 | [
"bug"
] | [] | 2026-02-13T17:14:32Z | 2026-02-16T16:25:34Z | 2026-02-16T16:25:34Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | christopher5106 | 6,875,375 | MDQ6VXNlcjY4NzUzNzU= | User | false |
huggingface/diffusers | 3,938,744,644 | I_kwDOHa8MBc7qxHlE | 13,142 | https://github.com/huggingface/diffusers/issues/13142 | https://api.github.com/repos/huggingface/diffusers/issues/13142 | PRXPipeline.from_pretrained() broken with transformers 5.1.0 | ### Describe the bug
`PRXPipeline.from_pretrained()` fails when loading the T5GemmaEncoder text encoder component with transformers 5.1.0:
AttributeError: 'T5GemmaConfig' object has no attribute 'attention_dropout'
### Root cause
In transformers 5.x, `T5GemmaConfig` was refactored into a composite config with `e... | closed | completed | false | 1 | [
"bug"
] | [] | 2026-02-13T19:20:40Z | 2026-02-23T10:15:47Z | 2026-02-23T10:15:47Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | DavidBert | 12,252,506 | MDQ6VXNlcjEyMjUyNTA2 | User | false |
huggingface/diffusers | 1,451,873,928 | I_kwDOHa8MBc5WidaI | 1,315 | https://github.com/huggingface/diffusers/issues/1315 | https://api.github.com/repos/huggingface/diffusers/issues/1315 | ImportError: cannot import name 'PIL_INTERPOLATION' from 'diffusers.utils' | ### Describe the bug
Hour ago been able to generate images. Now, I see this string in log.
### Reproduction
Basically, try to generate an image, like, NOW
### Logs
```shell
.cache\huggingface\modules\diffusers_modules\git\lpw_stable_d │
│ iffusion.py:15 in <module> ... | closed | completed | false | 12 | [
"bug"
] | [] | 2022-11-16T16:08:23Z | 2022-11-16T18:05:32Z | 2022-11-16T18:05:32Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | Pirog17000 | 3,022,852 | MDQ6VXNlcjMwMjI4NTI= | User | false |
huggingface/diffusers | 3,946,134,863 | I_kwDOHa8MBc7rNT1P | 13,151 | https://github.com/huggingface/diffusers/issues/13151 | https://api.github.com/repos/huggingface/diffusers/issues/13151 | GGUF + `torch.compile` is not compatible with Hub Kernels | The set checks when using hub kernels with GGUF are not traceable with torch.compile.
https://github.com/huggingface/diffusers/blob/b0dc51da31a112e5cd4e8a3ee9eafff08dab913d/src/diffusers/quantizers/gguf/utils.py#L74-L76
The GGUF Kernels also need to be updated to support the latest version of torch.
Initial Solut... | open | null | false | 0 | [
"torch-compile",
"gguf"
] | [
"DN6"
] | 2026-02-16T06:24:56Z | 2026-02-16T06:55:05Z | null | MEMBER | null | 20260407T133413Z | 2026-04-07T13:34:13Z | DN6 | 7,529,846 | MDQ6VXNlcjc1Mjk4NDY= | User | false |
huggingface/diffusers | 1,451,898,151 | I_kwDOHa8MBc5WijUn | 1,316 | https://github.com/huggingface/diffusers/issues/1316 | https://api.github.com/repos/huggingface/diffusers/issues/1316 | [ONNX] Support for nightly versions of the directml package | Self explanatory title.
The latest nightly version has improved my inference speeds considerably and I know others who use it as well but currently it fails to import because import_utils.py does not list "ort_nightly_directml" as a onnx candidate. | closed | completed | false | 11 | [] | [
"anton-l"
] | 2022-11-16T16:23:02Z | 2022-11-29T13:00:43Z | 2022-11-29T13:00:43Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | GreenLandisaLie | 80,653,235 | MDQ6VXNlcjgwNjUzMjM1 | User | false |
huggingface/diffusers | 3,959,894,780 | I_kwDOHa8MBc7sBzL8 | 13,162 | https://github.com/huggingface/diffusers/issues/13162 | https://api.github.com/repos/huggingface/diffusers/issues/13162 | Flux.2-klein-4b lora support | ### Describe the bug
Not sure about the origin of this lora (fal trainer?)
### Reproduction
```python
import torch
from diffusers import Flux2KleinPipeline
pipe = Flux2KleinPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-4b", torch_dtype=torch.bfloat16)
pipe.load_lora_weights(
"fal/flux-2-klein-4b-spri... | closed | completed | false | 4 | [
"bug"
] | [] | 2026-02-18T21:35:41Z | 2026-02-21T05:01:19Z | 2026-02-21T05:01:19Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | christopher5106 | 6,875,375 | MDQ6VXNlcjY4NzUzNzU= | User | false |
huggingface/diffusers | 3,967,289,114 | I_kwDOHa8MBc7seAca | 13,167 | https://github.com/huggingface/diffusers/issues/13167 | https://api.github.com/repos/huggingface/diffusers/issues/13167 | Wan I2V expand_timesteps: why hard-clamp only first frame (no last-frame clamp)? | I have a question on `expand_timesteps` option within `WanImageToVideoPipeline`. I see that the mechanism hard-clamps only the first frame. For FLF (first+last) conditioning, is there a reason we can’t (or shouldn’t) apply the same mechanism to *both* endpoints?
The related code is in:
- `diffusers/src/diffusers/pipel... | open | null | false | 0 | [] | [] | 2026-02-20T08:32:10Z | 2026-02-20T11:23:25Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | emirks | 74,150,563 | MDQ6VXNlcjc0MTUwNTYz | User | false |
huggingface/diffusers | 3,977,946,819 | I_kwDOHa8MBc7tGqbD | 13,176 | https://github.com/huggingface/diffusers/issues/13176 | https://api.github.com/repos/huggingface/diffusers/issues/13176 | UNet2DConditionModel attention error | ### Describe the bug
Hi, I got a new error with the latest release on the UNet2DConditionModel.
The default used AttentionProcessor is the 2.0
### Reproduction
```py
import torch
from diffusers import UNet2DConditionModel
unet = UNet2DConditionModel()
# the dimensions might not be right in the snippet but it fails... | closed | completed | false | 1 | [
"bug"
] | [] | 2026-02-23T12:30:21Z | 2026-02-23T12:40:06Z | 2026-02-23T12:40:06Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | dumoulina | 48,944,658 | MDQ6VXNlcjQ4OTQ0NjU4 | User | false |
huggingface/diffusers | 3,979,697,423 | I_kwDOHa8MBc7tNV0P | 13,177 | https://github.com/huggingface/diffusers/issues/13177 | https://api.github.com/repos/huggingface/diffusers/issues/13177 | Flux2KleinPipeline doesn't accept tensor format as input image | **Is your feature request related to a problem? Please describe.**
I would like to input a tensor in the Flux2KleinPipeline image argument. Only `image: list[PIL.Image.Image] | PIL.Image.Image | None = None` is accepted although in the comment section below the arguments it states that:
`image (`torch.Tensor`, `PIL.... | open | null | false | 5 | [] | [] | 2026-02-23T19:02:57Z | 2026-05-23T13:37:32Z | null | NONE | null | 20260523T143511Z | 2026-05-23T14:35:11Z | joansc | 17,720,862 | MDQ6VXNlcjE3NzIwODYy | User | false |
huggingface/diffusers | 1,452,017,930 | I_kwDOHa8MBc5WjAkK | 1,318 | https://github.com/huggingface/diffusers/issues/1318 | https://api.github.com/repos/huggingface/diffusers/issues/1318 | Right set of UNet hyperparameters when training DDPM | Hi there !
I am currently training a DDPM model on a custom image dataset following the cool [unconditional_image_generation](https://github.com/huggingface/diffusers/blob/main/examples/unconditional_image_generation/train_unconditional.py) example script.
Since I don't have the compute to perform comprehensive hyp... | closed | completed | false | 5 | [] | [
"anton-l"
] | 2022-11-16T17:41:26Z | 2022-12-01T18:37:32Z | 2022-12-01T18:37:32Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | leopoldmaillard | 56,095,779 | MDQ6VXNlcjU2MDk1Nzc5 | User | false |
huggingface/diffusers | 3,999,985,925 | I_kwDOHa8MBc7uavEF | 13,191 | https://github.com/huggingface/diffusers/issues/13191 | https://api.github.com/repos/huggingface/diffusers/issues/13191 | Elastic-DiT support | ### Model/Pipeline/Scheduler description
Elastic-DiT was released a few hours ago: https://github.com/wangjiangshan0725/Elastic-DiT
It's supposed to greatly accelerate (~2x speed) the diffusion process of 2D image generators like qwen image and Flux with little impact to the quality of the output. This project was le... | open | null | false | 2 | [] | [] | 2026-02-27T09:09:17Z | 2026-03-07T09:22:49Z | null | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | geekuillaume | 1,301,701 | MDQ6VXNlcjEzMDE3MDE= | User | false |
huggingface/diffusers | 4,000,607,675 | I_kwDOHa8MBc7udG27 | 13,196 | https://github.com/huggingface/diffusers/issues/13196 | https://api.github.com/repos/huggingface/diffusers/issues/13196 | Quantization documentation runnable in Colab | **Is your feature request related to a problem? Please describe.**
Hi there, I was glad to find [this Quantization example in your Quickstart](https://huggingface.co/docs/diffusers/en/quicktour#quantization), promising to run Qwen-Image using a little under 15GB, which sounds like it could just about work in Colab Fre... | closed | completed | false | 4 | [] | [] | 2026-02-27T11:37:48Z | 2026-03-09T10:45:41Z | 2026-03-09T10:45:41Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | jchwenger | 34,098,722 | MDQ6VXNlcjM0MDk4NzIy | User | false |
huggingface/diffusers | 1,452,164,524 | I_kwDOHa8MBc5WjkWs | 1,320 | https://github.com/huggingface/diffusers/issues/1320 | https://api.github.com/repos/huggingface/diffusers/issues/1320 | Non-Half Float Compatible Models | ### Describe the bug
Is there a way to check if a model is compatible before Diffuses yells at me that it can't be in half-float? It'd be cool to just skip any model provided that isn't able to be loaded in such a way.
The main culprit seems to be Dreambooth models, which seem to be non-half float compatible. Si... | closed | completed | false | 11 | [
"bug",
"stale"
] | [] | 2022-11-16T19:31:57Z | 2023-01-05T15:03:39Z | 2023-01-05T15:03:39Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | WASasquatch | 1,151,589 | MDQ6VXNlcjExNTE1ODk= | User | false |
huggingface/diffusers | 4,012,951,239 | I_kwDOHa8MBc7vMMbH | 13,203 | https://github.com/huggingface/diffusers/issues/13203 | https://api.github.com/repos/huggingface/diffusers/issues/13203 | Zimage lora support issue | ### Describe the bug
Error message:
```
lora_conversion_utils.py", line 2566, in _convert_non_diffusers_z_image_lora_to_diffusers
raise ValueError(f"`state_dict` should be empty at this point but has {state_dict.keys()=}")
ValueError: `state_dict` should be empty at this point but has state_dict.keys()=dict_keys(... | closed | completed | false | 2 | [
"bug"
] | [] | 2026-03-02T19:39:53Z | 2026-03-05T02:54:21Z | 2026-03-05T02:54:21Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | christopher5106 | 6,875,375 | MDQ6VXNlcjY4NzUzNzU= | User | false |
huggingface/diffusers | 4,040,515,279 | I_kwDOHa8MBc7w1V7P | 13,221 | https://github.com/huggingface/diffusers/issues/13221 | https://api.github.com/repos/huggingface/diffusers/issues/13221 | Zimage lora support issue too | ### Describe the bug
diffusers\loaders\lora_pipeline.py", line 5475, in lora_state_dict
state_dict = _convert_non_diffusers_z_image_lora_to_diffusers(state_dict)
File "C:\Users\whr_u\anaconda3\envs\DBtrain\lib\site-packages\diffusers\loaders\lora_conversion_utils.py", line 2628, in _convert_non_diffusers_z_image... | open | null | false | 0 | [
"bug"
] | [] | 2026-03-08T05:05:05Z | 2026-03-08T05:06:28Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | zhaoyun0071 | 35,762,050 | MDQ6VXNlcjM1NzYyMDUw | User | false |
huggingface/diffusers | 4,040,922,766 | I_kwDOHa8MBc7w25aO | 13,224 | https://github.com/huggingface/diffusers/issues/13224 | https://api.github.com/repos/huggingface/diffusers/issues/13224 | Regarding support for Qwen‑Image‑Layered‑Control | Do you have any plans to provide support for [Qwen‑Image‑Layered‑Control](https://huggingface.co/DiffSynth-Studio/Qwen-Image-Layered-Control)? | open | null | false | 0 | [] | [] | 2026-03-08T09:21:24Z | 2026-03-08T09:21:24Z | null | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | suzukimain | 131,413,573 | U_kgDOB9U2RQ | User | false |
huggingface/diffusers | 4,041,719,239 | I_kwDOHa8MBc7w573H | 13,225 | https://github.com/huggingface/diffusers/issues/13225 | https://api.github.com/repos/huggingface/diffusers/issues/13225 | RAE+DiT support for published checkpoints | **Is your feature request related to a problem? Please describe.**
`diffusers` has `AutoencoderRAE` support via #13046. There is still no native latent generator path for the published RAE checkpoints. I've been following the research and was excited to see the RAE support; this comes next and would be exciting to have... | open | null | false | 1 | [] | [] | 2026-03-08T17:03:35Z | 2026-03-08T17:15:53Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | plugyawn | 76,529,011 | MDQ6VXNlcjc2NTI5MDEx | User | false |
huggingface/diffusers | 4,042,324,989 | I_kwDOHa8MBc7w8Pv9 | 13,227 | https://github.com/huggingface/diffusers/issues/13227 | https://api.github.com/repos/huggingface/diffusers/issues/13227 | [Bug] GlmImagePipeline silently corrupts weights on MPS accelerator | ### Describe the bug
When loading `zai-org/GLM-Image` with `device_map="mps"` in diffusers, some model parameters become silently corrupted during `GlmImagePipeline.from_pretrained` call.
The corruption:
```
Happens only when tensors are placed directly on MPS during loading
Is non-deterministic across dtypes
```
* f... | open | null | false | 0 | [
"bug"
] | [] | 2026-03-08T22:27:27Z | 2026-03-08T22:31:31Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | yingding | 1,073,701 | MDQ6VXNlcjEwNzM3MDE= | User | false |
huggingface/diffusers | 1,452,449,881 | I_kwDOHa8MBc5WkqBZ | 1,323 | https://github.com/huggingface/diffusers/issues/1323 | https://api.github.com/repos/huggingface/diffusers/issues/1323 | Flax models cannot be loaded if they don't contain dtype | ### Describe the bug
When creating a flax model, `dtype` needs to be defined as a required arg for the model definition.
It should be possible to define them without a `dtype`, for example if the model wraps 2 submodules that require a different `dtype` (or don't require any at all).
### Reproduction
The below co... | closed | completed | false | 2 | [
"bug",
"stale"
] | [] | 2022-11-16T23:37:43Z | 2022-12-25T15:03:02Z | 2022-12-25T15:03:02Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | borisdayma | 715,491 | MDQ6VXNlcjcxNTQ5MQ== | User | false |
huggingface/diffusers | 4,043,639,379 | I_kwDOHa8MBc7xBQpT | 13,232 | https://github.com/huggingface/diffusers/issues/13232 | https://api.github.com/repos/huggingface/diffusers/issues/13232 | LTX-2.3 Support | ### Model/Pipeline/Scheduler description
New model LTX-2.3 models have been released recently. Maybe weight conversion is needed for it
HF repo: https://huggingface.co/Lightricks/LTX-2.3
I could support on this
### Open source status
- [x] The model implementation is available.
- [x] The model weights are availabl... | closed | completed | false | 1 | [] | [] | 2026-03-09T06:29:10Z | 2026-04-22T04:30:43Z | 2026-04-22T04:30:43Z | CONTRIBUTOR | null | 20260422T043535Z | 2026-04-22T04:35:35Z | rootonchair | 23,548,268 | MDQ6VXNlcjIzNTQ4MjY4 | User | false |
huggingface/diffusers | 4,049,212,629 | I_kwDOHa8MBc7xWhTV | 13,241 | https://github.com/huggingface/diffusers/issues/13241 | https://api.github.com/repos/huggingface/diffusers/issues/13241 | [Chore] Set Diffusers 0.37 as latest release | Diffusers 0.36 is still showing up as the latest release on Github. This should probably be set to the most recent version, 0.37. You folks deserve to be able to strut sitting down, after all!
<img width="372" height="233" alt="Image" src="https://github.com/user-attachments/assets/978b596d-c435-402e-a150-6a3fd62e7620... | closed | completed | false | 1 | [] | [] | 2026-03-10T03:49:45Z | 2026-03-11T04:01:55Z | 2026-03-11T04:01:55Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | iwr-redmond | 142,086,261 | U_kgDOCHgQdQ | User | false |
huggingface/diffusers | 4,050,586,905 | I_kwDOHa8MBc7xbw0Z | 13,243 | https://github.com/huggingface/diffusers/issues/13243 | https://api.github.com/repos/huggingface/diffusers/issues/13243 | [BUG] FlowMatchEulerDiscreteScheduler.__init__ computes sigma_min/sigma_max after shift, causing duplicate shift in set_timesteps | ### Describe the bug
There is an initialization order issue in the FlowMatchEulerDiscreteScheduler class that causes set_timesteps to apply timestep shifting twice, resulting in different sigma values for the same timestep settings.
https://github.com/huggingface/diffusers/blob/07a63e197e10860a470576cf4f610381b31a4dd7... | open | null | false | 2 | [
"bug"
] | [
"dg845"
] | 2026-03-10T09:40:56Z | 2026-06-20T23:32:09Z | null | NONE | null | 20260620T233512Z | 2026-06-20T23:35:12Z | Xilluill | 115,821,678 | U_kgDOBudMbg | User | false |
huggingface/diffusers | 4,053,689,271 | I_kwDOHa8MBc7xnmO3 | 13,249 | https://github.com/huggingface/diffusers/issues/13249 | https://api.github.com/repos/huggingface/diffusers/issues/13249 | Lora Stopped working for Z-Image | ### Describe the bug
all of a sudden im getting errors on using a lora with z-image pipeline. its the same pipeline i been using with the same loras...
### Reproduction
```
from diffusers import FlowMatchEulerDiscreteScheduler, ZImagePipeline
import torch
model_name = "dimitribarbot/Z-Image-Turbo-BF16"
lora_r... | closed | completed | false | 3 | [
"bug"
] | [] | 2026-03-10T19:11:43Z | 2026-03-13T01:28:55Z | 2026-03-13T01:28:55Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | AlpineVibrations | 10,145,679 | MDQ6VXNlcjEwMTQ1Njc5 | User | false |
huggingface/diffusers | 4,057,882,195 | I_kwDOHa8MBc7x3l5T | 13,256 | https://github.com/huggingface/diffusers/issues/13256 | https://api.github.com/repos/huggingface/diffusers/issues/13256 | diffusers,hugging-face and tokenizers 0.14.1 ,they have a compatiable version | ### Describe the bug
I downloaded them by pip ,and their version :huggingface-hub 0.17.3 diffusers 0.21.4
tokenizers 0.14.1 .
but when i run them, there always has an error :
Traceback (most recent call last):
File "/root/sj-tmp/migrate/echomimic-main/echomimic_api/app.py", line 34,... | open | null | false | 0 | [
"bug"
] | [] | 2026-03-11T12:14:46Z | 2026-03-11T12:14:46Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | coderXEi | 49,114,210 | MDQ6VXNlcjQ5MTE0MjEw | User | false |
huggingface/diffusers | 4,059,796,060 | I_kwDOHa8MBc7x-5Jc | 13,258 | https://github.com/huggingface/diffusers/issues/13258 | https://api.github.com/repos/huggingface/diffusers/issues/13258 | Wan-AI/Wan2.2-TI2V-5B-Diffusers Image to Video Missing | ### Describe the bug
I cannot make it that the 5B version takes in an image and generate a video out of it
```
import torch
import numpy as np
from diffusers import WanPipeline, AutoencoderKLWan, WanTransformer3DModel, UniPCMultistepScheduler
from diffusers.utils import export_to_video, load_image
dtype = torch.bflo... | open | null | false | 1 | [
"bug"
] | [] | 2026-03-11T18:06:28Z | 2026-03-11T18:15:10Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | james-imi | 149,590,311 | U_kgDOCOqRJw | User | false |
huggingface/diffusers | 4,062,471,274 | I_kwDOHa8MBc7yJGRq | 13,261 | https://github.com/huggingface/diffusers/issues/13261 | https://api.github.com/repos/huggingface/diffusers/issues/13261 | black-forest-labs/FLUX.2-klein-9B not working with lora with lokr | ### Describe the bug
Traceback (most recent call last):
File "/usr/local/lib/python3.11/site-packages/aiohttp/web_protocol.py", line 510, in _handle_request
resp = await request_handler(request)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/aiohttp/web_app.py", line 56... | open | null | false | 35 | [
"bug"
] | [
"sayakpaul"
] | 2026-03-12T06:18:50Z | 2026-03-25T10:08:38Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | chaowenguo | 229,142,208 | U_kgDODahuwA | User | false |
huggingface/diffusers | 4,076,636,492 | I_kwDOHa8MBc7y_IlM | 13,266 | https://github.com/huggingface/diffusers/issues/13266 | https://api.github.com/repos/huggingface/diffusers/issues/13266 | Torchao SD3 int8wo | ### Describe the bug
Exception when click Run, SD3 quantization
### Reproduction
- Mellon + ModularDiffuser setup (https://github.com/cubiq/Mellon/blob/main/modules/ModularDiffusers/README.md)
- uv pip install -U torch torchao
- python main.py
SD3 Text Encoder Loader: Dtype bfloat16, Quantization: TorchAO, Quant Ty... | open | null | false | 2 | [
"bug"
] | [] | 2026-03-14T20:14:14Z | 2026-03-17T20:14:36Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | WasamiKirua | 122,620,587 | U_kgDOB08Kqw | User | false |
huggingface/diffusers | 4,083,695,173 | I_kwDOHa8MBc7zaD5F | 13,274 | https://github.com/huggingface/diffusers/issues/13274 | https://api.github.com/repos/huggingface/diffusers/issues/13274 | [Bug][AMD] `stabilityai/stable-audio-open-1.0` encounter `RecursionError: maximum recursion depth exceeded` | ### Describe the bug
Running the diffuser example from the model card https://huggingface.co/stabilityai/stable-audio-open-1.0
```
import torch
import soundfile as sf
from diffusers import StableAudioPipeline
pipe = StableAudioPipeline.from_pretrained("stabilityai/stable-audio-open-1.0", torch_dtype=torch.float16)... | open | null | false | 0 | [
"bug"
] | [] | 2026-03-16T17:03:56Z | 2026-03-16T17:03:56Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | tjtanaa | 29,171,856 | MDQ6VXNlcjI5MTcxODU2 | User | false |
huggingface/diffusers | 4,086,888,339 | I_kwDOHa8MBc7zmPeT | 13,277 | https://github.com/huggingface/diffusers/issues/13277 | https://api.github.com/repos/huggingface/diffusers/issues/13277 | QwenImagePipeline failed with Ulysses SP and batch inputs | ### Describe the bug
QwenImagePipeline cannot run with Ulysses SP together with batch prompt inputs. It is related to the mask is not correctly broadcasted.
### Reproduction
With the following code snippets
```python
import torch
import torch.distributed as dist
import argparse
import os
from diffusers import QwenIm... | closed | completed | false | 0 | [
"bug"
] | [] | 2026-03-17T08:08:13Z | 2026-03-25T01:54:19Z | 2026-03-25T01:54:19Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | zhtmike | 8,342,575 | MDQ6VXNlcjgzNDI1NzU= | User | false |
huggingface/diffusers | 4,089,569,357 | I_kwDOHa8MBc7zweBN | 13,279 | https://github.com/huggingface/diffusers/issues/13279 | https://api.github.com/repos/huggingface/diffusers/issues/13279 | `AutoencoderRAE` loading error with older transformers | ### Describe the bug
Hye,
I am trying to use `AutoencoderRAE`, unfortunately I cannot load it and it seems to break by giving the following error:
```shell
File ".venv/lib/python3.13/site-packages/transformers/models/dinov2_with_registers/modeling_dinov2_with_registers.py", line 529, in _init_weights
).to(module... | open | null | false | 3 | [
"bug"
] | [
"kashif"
] | 2026-03-17T16:10:16Z | 2026-03-18T13:00:52Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | arijit-hub | 66,744,342 | MDQ6VXNlcjY2NzQ0MzQy | User | false |
huggingface/diffusers | 4,093,007,279 | I_kwDOHa8MBc7z9lWv | 13,281 | https://github.com/huggingface/diffusers/issues/13281 | https://api.github.com/repos/huggingface/diffusers/issues/13281 | Group offloading with use_stream=True breaks torchao quantized models (device mismatch) in qwen image | ### Describe the bug
When combining torchao quantization (TorchAoConfig with Float8WeightOnlyConfig) and group offloading with use_stream=True, inference fails with a device mismatch error. The quantized weight remains on CPU while the input tensor is on CUDA.
### Reproduction
```python
import torch
from diffusers i... | open | null | false | 0 | [
"bug"
] | [] | 2026-03-18T06:16:00Z | 2026-03-18T06:16:00Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | zhangvia | 38,352,569 | MDQ6VXNlcjM4MzUyNTY5 | User | false |
huggingface/diffusers | 4,094,623,844 | I_kwDOHa8MBc70DwBk | 13,284 | https://github.com/huggingface/diffusers/issues/13284 | https://api.github.com/repos/huggingface/diffusers/issues/13284 | AttentionModuleMixin.set_attention_backend does not download hub kernels | ### Describe the bug
Hellooo :),
I believe there is a bug with per-module attention backend setting.
Currently, `set_attention_backend()` works correctly when called on a top-level model (e.g. `pipe.transformer.set_attention_backend("sage_hub")`), but fails silently when called on individual attention submodules. Th... | open | null | false | 0 | [
"bug"
] | [] | 2026-03-18T11:51:03Z | 2026-03-18T12:09:20Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | Marius-Graml | 85,825,232 | MDQ6VXNlcjg1ODI1MjMy | User | false |
huggingface/diffusers | 4,099,557,440 | I_kwDOHa8MBc70WkhA | 13,286 | https://github.com/huggingface/diffusers/issues/13286 | https://api.github.com/repos/huggingface/diffusers/issues/13286 | torchao >= 0.16.0 quantization not supported | ### Describe the bug
Below sample code (taken from https://huggingface.co/blog/lora-fast) does not work because torchao has renamed the APIs and mentions it as a breaking change in 0.15.0 (with deprecation warning) and above as per the release notes:
https://github.com/pytorch/ao/releases/tag/v0.15.0
Before:
```
from... | closed | completed | false | 3 | [
"bug"
] | [] | 2026-03-19T06:09:21Z | 2026-06-10T13:34:30Z | 2026-06-10T04:19:40Z | NONE | null | 20260610T133520Z | 2026-06-10T13:35:20Z | zzlol63 | 241,569,438 | U_kgDODmYOng | User | false |
huggingface/diffusers | 4,099,995,498 | I_kwDOHa8MBc70YPdq | 13,288 | https://github.com/huggingface/diffusers/issues/13288 | https://api.github.com/repos/huggingface/diffusers/issues/13288 | vbench | null | closed | completed | false | 0 | [] | [] | 2026-03-19T08:00:47Z | 2026-03-19T08:01:00Z | 2026-03-19T08:01:00Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | 3a1b2c3 | 74,843,139 | MDQ6VXNlcjc0ODQzMTM5 | User | false |
huggingface/diffusers | 4,105,208,503 | I_kwDOHa8MBc70sIK3 | 13,292 | https://github.com/huggingface/diffusers/issues/13292 | https://api.github.com/repos/huggingface/diffusers/issues/13292 | [Bug] train_dreambooth_lora_flux2_klein.py: batch size mismatch with --with_prior_preservation | When using `--with_prior_preservation` with `train_dreambooth_lora_flux2_klein.py`,
the prompt embedding repeat logic doubles the batch incorrectly.
The line:
num_repeat_elements = len(prompts)
should be:
num_repeat_elements = len(prompts) // 2 if args.with_prior_preservation else len(prompts)
Be... | closed | completed | false | 2 | [] | [] | 2026-03-20T01:51:27Z | 2026-04-10T04:47:08Z | 2026-04-10T04:47:08Z | NONE | null | 20260410T215946Z | 2026-04-10T21:59:46Z | vishk23 | 119,831,996 | U_kgDOByR9vA | User | false |
huggingface/diffusers | 4,105,762,698 | I_kwDOHa8MBc70uPeK | 13,295 | https://github.com/huggingface/diffusers/issues/13295 | https://api.github.com/repos/huggingface/diffusers/issues/13295 | Modular Diffusers 🧨 | Hey folks 👋
We recently released [Modular Diffusers](https://huggingface.co/blog/modular-diffusers), which gives developers the flexibility to reuse existing pipeline blocks in different workflows and also easily implement custom "modular" blocks.
While the `DiffusionPipeline` class has helped establish a standard ... | open | null | false | 16 | [] | [] | 2026-03-20T05:01:29Z | 2026-05-06T15:33:15Z | null | MEMBER | null | 20260506T153517Z | 2026-05-06T15:35:17Z | sayakpaul | 22,957,388 | MDQ6VXNlcjIyOTU3Mzg4 | User | false |
huggingface/diffusers | 4,111,960,112 | I_kwDOHa8MBc71F4gw | 13,298 | https://github.com/huggingface/diffusers/issues/13298 | https://api.github.com/repos/huggingface/diffusers/issues/13298 | When generating images, if the generator device is on cuda, it break things | ### Describe the bug
This bug took me a while to relize, but when generating images with Flux Schnell, if the random generator device is on cuda, it create weird, blurry, and noisy images.
### Reproduction
```
"""
Reproduce: same seed, same model, same prompt — cpu vs cuda generator produces different images.
"""
... | open | null | false | 2 | [
"bug"
] | [] | 2026-03-21T09:48:01Z | 2026-03-21T20:03:44Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | weathon | 41,298,844 | MDQ6VXNlcjQxMjk4ODQ0 | User | false |
huggingface/diffusers | 4,113,586,208 | I_kwDOHa8MBc71MFgg | 13,300 | https://github.com/huggingface/diffusers/issues/13300 | https://api.github.com/repos/huggingface/diffusers/issues/13300 | diffusers fails in PyTorch when generating image using stabilityai/stable-diffusion-3.5-large-turbo, black-forest-labs/FLUX.1-dev on CPU | ### Describe the bug
Trace for stabilityai/stable-diffusion-3.5-large-turbo:
```
Traceback (most recent call last):
File "/disks/samsung-4TB-A/AI-models/from-hugging-face/stable-diffusion-3.5-large-turbo/run.py", line 15, in <module>
image = pipe(prompt).images[0]
^^^^^^^^^^^^
File "/usr/local/lib/... | open | null | false | 1 | [
"bug"
] | [] | 2026-03-21T19:35:52Z | 2026-03-30T10:40:53Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | yurivict | 271,906 | MDQ6VXNlcjI3MTkwNg== | User | false |
huggingface/diffusers | 4,113,672,409 | I_kwDOHa8MBc71MajZ | 13,301 | https://github.com/huggingface/diffusers/issues/13301 | https://api.github.com/repos/huggingface/diffusers/issues/13301 | Modular Pipeline: support for PixArtAlphaPipeline | ### Model/Pipeline/Scheduler description
I would like to implement a modular version of the PixArt pipeline family, as discussed in [#13295](https://github.com/huggingface/diffusers/issues/13295#issuecomment-4103395537).
The initial scope includes the `PixArtAlphaPipeline` under [src/diffusers/pipelines/pixart_alpha/... | open | null | false | 3 | [] | [] | 2026-03-21T20:02:38Z | 2026-06-26T09:08:30Z | null | NONE | null | 20260626T093517Z | 2026-06-26T09:35:17Z | gasparyanartur | 27,823,679 | MDQ6VXNlcjI3ODIzNjc5 | User | false |
huggingface/diffusers | 4,116,915,242 | I_kwDOHa8MBc71YyQq | 13,310 | https://github.com/huggingface/diffusers/issues/13310 | https://api.github.com/repos/huggingface/diffusers/issues/13310 | YIh | картинку в стиле нанвью | closed | completed | false | 0 | [] | [] | 2026-03-22T19:36:57Z | 2026-03-24T22:56:02Z | 2026-03-24T22:56:02Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | nanvyu | 185,514,026 | U_kgDOCw64Kg | User | false |
huggingface/diffusers | 4,118,099,639 | I_kwDOHa8MBc71dTa3 | 13,311 | https://github.com/huggingface/diffusers/issues/13311 | https://api.github.com/repos/huggingface/diffusers/issues/13311 | black-forest-labs/FLUX.2-klein-9B lora No LoRA keys associated to Flux2Transformer2DModel found with the prefix='transformer' | ### Describe the bug
No LoRA keys associated to Flux2Transformer2DModel found with the prefix='transformer'. This is safe to ignore if LoRA state dict didn't originally have any Flux2Transformer2DModel related params. You can also try specifying `prefix=None` to resolve the warning. Otherwise, open an issue if you thi... | closed | completed | false | 1 | [
"bug"
] | [] | 2026-03-23T04:12:32Z | 2026-03-25T02:21:36Z | 2026-03-25T02:21:36Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | chaowenguo | 229,142,208 | U_kgDODahuwA | User | false |
huggingface/diffusers | 4,125,917,662 | I_kwDOHa8MBc717IHe | 13,319 | https://github.com/huggingface/diffusers/issues/13319 | https://api.github.com/repos/huggingface/diffusers/issues/13319 | The backward pass of QwenImageTransformer failed with Ulysses SP. | ### Describe the bug
I am not sure whether the backward pass of Ulysses SP is formally supported, but I found that backward ops like `_native_attention_backward_op` is implemented in the codebase. When I try to run QwenImageTransformer with the backward pass, I encounter errors related to shape mismatches.
### Reprod... | closed | completed | false | 2 | [
"bug"
] | [] | 2026-03-24T07:46:36Z | 2026-03-30T10:12:02Z | 2026-03-30T10:12:02Z | CONTRIBUTOR | null | 20260407T133413Z | 2026-04-07T13:34:13Z | zhtmike | 8,342,575 | MDQ6VXNlcjgzNDI1NzU= | User | false |
huggingface/diffusers | 1,453,697,368 | I_kwDOHa8MBc5WpalY | 1,333 | https://github.com/huggingface/diffusers/issues/1333 | https://api.github.com/repos/huggingface/diffusers/issues/1333 | [Community Pipeline] RePaint + Stable Diffusion | ## Intro
Community Pipelines are introduced in `diffusers==0.4.0` with the idea of allowing the community to quickly add, integrate, and share their custom pipelines on top of `diffusers`.
You can find a guide about Community Pipelines [here](https://github.com/huggingface/diffusers/issues/841). You can also fin... | closed | completed | false | 4 | [
"community-examples",
"Good second issue"
] | [] | 2022-11-17T17:12:51Z | 2024-11-21T11:29:23Z | 2024-11-21T11:29:23Z | MEMBER | null | 20260407T133413Z | 2026-04-07T13:34:13Z | anton-l | 26,864,830 | MDQ6VXNlcjI2ODY0ODMw | User | false |
huggingface/diffusers | 4,142,780,127 | I_kwDOHa8MBc727c7f | 13,343 | https://github.com/huggingface/diffusers/issues/13343 | https://api.github.com/repos/huggingface/diffusers/issues/13343 | [CI] Auto-label PRs for better insight and visibility | The Diffusers team is small, which makes the time-consuming process of triaging and reviewing PRs challenging. As a result, smaller well-written PRs can be accidentally ignored when they are easy to merge while larger poorly written PRs can consume precious time when they are hard to quickly understand.
It may be help... | open | null | false | 3 | [] | [] | 2026-03-26T11:01:38Z | 2026-04-16T04:44:52Z | null | NONE | null | 20260417T173542Z | 2026-04-17T17:35:42Z | iwr-redmond | 142,086,261 | U_kgDOCHgQdQ | User | false |
huggingface/diffusers | 4,143,698,226 | I_kwDOHa8MBc72-9Ey | 13,349 | https://github.com/huggingface/diffusers/issues/13349 | https://api.github.com/repos/huggingface/diffusers/issues/13349 | Noticed cropped results when generating with FLUX.2 klein 4B with reference images. | Hi, when using FLUX.2 Klein 4B with reference images. I noticed generated images were cropped/stretched. I looked at the already existing issues and found this:
> @nitinmukesh There is a private marked parameter that you can pass to disable the automatic resizing: https://github.com/huggingface/diffusers/blob/0454fbb3... | open | null | false | 9 | [] | [] | 2026-03-26T13:00:04Z | 2026-04-03T11:23:48Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | matemato | 47,794,629 | MDQ6VXNlcjQ3Nzk0NjI5 | User | false |
huggingface/diffusers | 1,453,844,020 | I_kwDOHa8MBc5Wp-Y0 | 1,335 | https://github.com/huggingface/diffusers/issues/1335 | https://api.github.com/repos/huggingface/diffusers/issues/1335 | TypeError: OnnxStableDiffusionPipeline.__init__() missing 1 required positional argument: 'vae_encoder' | ### Describe the bug
Hi,
I tried ONNX Runtime for inference. The code is,
`from diffusers import StableDiffusionOnnxPipeline
pipe = StableDiffusionOnnxPipeline.from_pretrained(
"CompVis/stable-diffusion-v1-4",
revision="onnx",
provider="CPUExecutionProvider",
use_auth_token=True,
)
prompt = ... | closed | completed | false | 12 | [
"bug"
] | [
"anton-l"
] | 2022-11-17T19:10:55Z | 2022-12-14T22:40:27Z | 2022-12-14T22:40:27Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | kamalasubha | 36,927,102 | MDQ6VXNlcjM2OTI3MTAy | User | false |
huggingface/diffusers | 4,144,345,286 | I_kwDOHa8MBc73BbDG | 13,350 | https://github.com/huggingface/diffusers/issues/13350 | https://api.github.com/repos/huggingface/diffusers/issues/13350 | how to use black-forest-labs/FLUX.2-klein-9B with Batch inference | ### Describe the bug
batch inference produce 4 times of images
I have prompt is list of str. the length of prompt is 7.
but finally give me 28 images
### Reproduction
```python3
import diffusers, torch
diffusers.Flux2KleinPipeline.from_pretrained('black-forest-labs/FLUX.2-klein-9B', torch_dtype=torch.bfloat16, qua... | closed | completed | false | 6 | [
"bug"
] | [] | 2026-03-26T14:13:20Z | 2026-04-03T00:03:30Z | 2026-04-03T00:03:29Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | chaowenguo | 229,142,208 | U_kgDODahuwA | User | false |
huggingface/diffusers | 4,145,838,015 | I_kwDOHa8MBc73HHe_ | 13,351 | https://github.com/huggingface/diffusers/issues/13351 | https://api.github.com/repos/huggingface/diffusers/issues/13351 | Wan 2.2 Fun Control & Flux.2 Dev Fun ControlNet | ### Model/Pipeline/Scheduler description
It would be very nice if the diffusers could be expanded to support ControlNet models like [Flux.2 Dev Fun ControlNet](https://huggingface.co/alibaba-pai/FLUX.2-dev-Fun-Controlnet-Union) or [Wan 2.2 Fun Control](https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control).
Thank... | open | null | false | 0 | [] | [] | 2026-03-26T17:13:17Z | 2026-03-26T17:13:17Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | adrianmeyerart | 45,898,930 | MDQ6VXNlcjQ1ODk4OTMw | User | false |
huggingface/diffusers | 4,159,161,806 | I_kwDOHa8MBc7358XO | 13,357 | https://github.com/huggingface/diffusers/issues/13357 | https://api.github.com/repos/huggingface/diffusers/issues/13357 | KeyError: 'default' for discrete diffusion language model LLaDA2 | ### Describe the bug
Hi,
The following code block from the documentation (https://huggingface.co/docs/diffusers/main/api/pipelines/llada2#diffusers.LLaDA2PipelineOutput) is giving key error :
```
model_id = "inclusionAI/LLaDA2.1-mini"
model = AutoModelForCausalLM.from_pretrained(
model_id, trust_remote_code=Tru... | open | null | false | 2 | [
"bug"
] | [] | 2026-03-28T10:20:42Z | 2026-03-28T23:07:06Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | ksasi | 7,089,391 | MDQ6VXNlcjcwODkzOTE= | User | false |
huggingface/diffusers | 4,161,986,180 | I_kwDOHa8MBc74Et6E | 13,361 | https://github.com/huggingface/diffusers/issues/13361 | https://api.github.com/repos/huggingface/diffusers/issues/13361 | Enable MPS backend for bitsandbytes quantization | **Is your feature request related to a problem? Please describe.**
Bitsandbytes now has basic support for the Apple MPS backend, as I can tell by https://github.com/bitsandbytes-foundation/bitsandbytes/pull/1818 and
https://github.com/bitsandbytes-foundation/bitsandbytes/pull/1875.
The issue is that diffusers does n... | closed | completed | false | 6 | [] | [] | 2026-03-28T23:48:15Z | 2026-06-23T05:20:15Z | 2026-06-23T05:20:15Z | CONTRIBUTOR | null | 20260623T053516Z | 2026-06-23T05:35:16Z | LucasSte | 38,472,950 | MDQ6VXNlcjM4NDcyOTUw | User | false |
huggingface/diffusers | 4,165,542,116 | I_kwDOHa8MBc74SSDk | 13,362 | https://github.com/huggingface/diffusers/issues/13362 | https://api.github.com/repos/huggingface/diffusers/issues/13362 | DDIMPipeline does not validate eta range despite documented constraint [0, 1] | ### Describe the bug
In DDIMPipeline, the eta parameter is documented to be within the range [0, 1], but there is currently no validation enforcing this constraint.
From the docstring:
>"eta corresponds to η in paper and should be between [0, 1]"
However, users can pass arbitrary values (e.g., negative or >1) witho... | closed | completed | false | 1 | [
"bug"
] | [] | 2026-03-29T19:06:50Z | 2026-04-03T02:07:30Z | 2026-04-03T02:07:30Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | Akash504-ai | 199,394,642 | U_kgDOC-KFUg | User | false |
huggingface/diffusers | 4,183,716,202 | I_kwDOHa8MBc75XnFq | 13,375 | https://github.com/huggingface/diffusers/issues/13375 | https://api.github.com/repos/huggingface/diffusers/issues/13375 | Investigate the current DtoH sync solution in pipelines | looks good, still feel like we need to broaden the scope of that fix within diffusers at some point :) I'll be out on sabbatical for the next month but I can help when I get back
_Originally posted by @jbschlosser in https://github.com/huggingface/diffusers/pull/13356#discussion_r3019482381_
| open | null | false | 0 | [
"performance"
] | [] | 2026-04-01T03:03:24Z | 2026-04-01T03:03:36Z | null | MEMBER | null | 20260407T133413Z | 2026-04-07T13:34:13Z | sayakpaul | 22,957,388 | MDQ6VXNlcjIyOTU3Mzg4 | User | false |
huggingface/diffusers | 4,184,599,318 | I_kwDOHa8MBc75a-sW | 13,377 | https://github.com/huggingface/diffusers/issues/13377 | https://api.github.com/repos/huggingface/diffusers/issues/13377 | [Bug] `QwenImagePipeline` silently disables CFG when passing `negative_prompt_embeds` if mask is `None` (which `encode_prompt` returns by default) | ### Describe the bug
In `QwenImagePipeline`, when users manually pre-compute prompt embeddings to optimize memory usage (e.g., placing the encoder and transformer on different GPUs), Classifier-Free Guidance (CFG) is silently disabled if `negative_prompt_embeds_mask` is set to `None`.
However, `encode_prompt` explic... | closed | completed | false | 2 | [
"bug"
] | [] | 2026-04-01T06:54:19Z | 2026-04-17T08:04:00Z | 2026-04-17T08:04:00Z | CONTRIBUTOR | null | 20260417T173542Z | 2026-04-17T17:35:42Z | Sunhill666 | 29,660,906 | MDQ6VXNlcjI5NjYwOTA2 | User | false |
huggingface/diffusers | 4,195,378,610 | I_kwDOHa8MBc76EGWy | 13,386 | https://github.com/huggingface/diffusers/issues/13386 | https://api.github.com/repos/huggingface/diffusers/issues/13386 | [Bug] `train_dreambooth_lora_qwen_image.py` crashes with `--with_prior_preservation` due to tensor concatenation errors | ### Describe the bug
When running the `train_dreambooth_lora_qwen_image.py` script with the `--with_prior_preservation` flag, the training crashes during the text embedding extraction phase. There are two distinct bugs related to tensor concatenation at [L1323](https://www.google.com/search?q=https://github.com/huggin... | closed | completed | false | 0 | [
"bug"
] | [] | 2026-04-02T15:30:04Z | 2026-04-10T03:43:33Z | 2026-04-10T03:43:33Z | CONTRIBUTOR | null | 20260410T215946Z | 2026-04-10T21:59:46Z | chenyangzhu1 | 102,785,092 | U_kgDOBiBgRA | User | false |
huggingface/diffusers | 1,455,754,182 | I_kwDOHa8MBc5WxQvG | 1,339 | https://github.com/huggingface/diffusers/issues/1339 | https://api.github.com/repos/huggingface/diffusers/issues/1339 | Same seed produces different results | ### Describe the bug
Basically is you set the scheduler to EulerAncestralDiscreteScheduler and the custom pipeline to lpw_stable_diffusion you will get different images when you generate
### Reproduction
Here is a colab to reproduce the results
https://colab.research.google.com/drive/1ypHAf2TBWnvxkLJf08cSMk... | closed | completed | false | 16 | [
"bug",
"stale"
] | [] | 2022-11-18T20:28:07Z | 2023-02-14T15:04:26Z | 2023-02-14T15:04:26Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | thisislance98 | 2,873,348 | MDQ6VXNlcjI4NzMzNDg= | User | false |
huggingface/diffusers | 4,198,259,024 | I_kwDOHa8MBc76PFlQ | 13,394 | https://github.com/huggingface/diffusers/issues/13394 | https://api.github.com/repos/huggingface/diffusers/issues/13394 | DDPMScheduler allows num_inference_steps=0 without validation (inconsistent with DDIMScheduler) | ### Describe the bug
## Bug description
The `DDPMScheduler.set_timesteps` method does not validate the value of `num_inference_steps`.
Passing `num_inference_steps=0` does not raise an error and can lead to invalid internal state or unexpected behavior.
This is inconsistent with `DDIMScheduler`, which already valid... | open | null | false | 2 | [
"bug"
] | [] | 2026-04-03T04:30:08Z | 2026-04-12T17:16:55Z | null | NONE | null | 20260413T135838Z | 2026-04-13T13:58:38Z | Akash504-ai | 199,394,642 | U_kgDOC-KFUg | User | false |
huggingface/diffusers | 1,456,256,874 | I_kwDOHa8MBc5WzLdq | 1,340 | https://github.com/huggingface/diffusers/issues/1340 | https://api.github.com/repos/huggingface/diffusers/issues/1340 | multiple gpu parallel for train dreambooth without cuda out memory | I have 2 gpus and I would like to use both to train dreambooth without cuda out memory
They say that I should use nn.DataParallel , but I don't know where to put it | closed | completed | false | 4 | [
"stale"
] | [] | 2022-11-19T06:21:25Z | 2022-12-28T15:03:10Z | 2022-12-28T15:03:10Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | loboere | 15,265,895 | MDQ6VXNlcjE1MjY1ODk1 | User | false |
huggingface/diffusers | 4,201,445,455 | I_kwDOHa8MBc76bPhP | 13,401 | https://github.com/huggingface/diffusers/issues/13401 | https://api.github.com/repos/huggingface/diffusers/issues/13401 | Help us profile important pipelines and improve if needed | In https://github.com/huggingface/diffusers/pull/13356, we added a guide to comprehensively profile our pipelines with Claude. It, in turn, helped us get rid of issues that can get in the way of the benefits provided by `torch.compile`.
We cannot profile all our important pipelines alone, and this is where the communi... | open | null | false | 34 | [
"performance",
"diffusers-mvp"
] | [] | 2026-04-03T17:18:13Z | 2026-06-15T12:30:21Z | null | MEMBER | null | 20260615T123520Z | 2026-06-15T12:35:20Z | sayakpaul | 22,957,388 | MDQ6VXNlcjIyOTU3Mzg4 | User | false |
huggingface/diffusers | 4,205,196,872 | I_kwDOHa8MBc76pjZI | 13,411 | https://github.com/huggingface/diffusers/issues/13411 | https://api.github.com/repos/huggingface/diffusers/issues/13411 | `LTXEulerAncestralRFScheduler.set_timesteps(sigmas=...)` does not validate monotonicity, causing silent incorrect denoising | ## Describe the bug
`LTXEulerAncestralRFScheduler.set_timesteps` accepts an externally-supplied `sigmas` argument without validating that the schedule is monotonically non-increasing. When `step()` is called on a non-monotone schedule, the ancestral RF decomposition computes `sigma_down` outside `[0, 1]` and `alpha_do... | closed | not_planned | false | 0 | [] | [] | 2026-04-04T15:38:48Z | 2026-04-26T18:27:22Z | 2026-04-26T18:27:22Z | NONE | null | 20260426T183512Z | 2026-04-26T18:35:12Z | VittoriaLanzo | 258,044,740 | U_kgDOD2FzRA | User | false |
huggingface/diffusers | 4,205,710,790 | I_kwDOHa8MBc76rg3G | 13,416 | https://github.com/huggingface/diffusers/issues/13416 | https://api.github.com/repos/huggingface/diffusers/issues/13416 | how to use zimage and flux2 with negative prompt? | ### Describe the bug
```python3
from pipeline_flux_with_cfg import FluxCFGPipeline
```
it allows to use negative prompt with flux, is there any similar stuff with zimage and flux2?
I means diffusers.ZImagePipeline with Tongyi-MAI/Z-Image-Turbo and diffusers.flux2kleinpipeline with black-forest-labs/FLUX.2-klein-9B I... | open | null | false | 7 | [
"bug"
] | [] | 2026-04-04T20:01:47Z | 2026-04-06T14:13:17Z | null | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | chaowenguo | 229,142,208 | U_kgDODahuwA | User | false |
huggingface/diffusers | 4,209,097,932 | I_kwDOHa8MBc764bzM | 13,418 | https://github.com/huggingface/diffusers/issues/13418 | https://api.github.com/repos/huggingface/diffusers/issues/13418 | 2 gpu | diffusers/FLUX.2-dev-bnb-4bit
how run it on 2 gpu
kagle | closed | completed | false | 2 | [] | [] | 2026-04-06T02:03:38Z | 2026-04-06T11:09:37Z | 2026-04-06T11:09:37Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | ayttop | 178,673,810 | U_kgDOCqZYkg | User | false |
huggingface/diffusers | 1,456,301,575 | I_kwDOHa8MBc5WzWYH | 1,342 | https://github.com/huggingface/diffusers/issues/1342 | https://api.github.com/repos/huggingface/diffusers/issues/1342 | Offline training | I would like to the train diffusion model offline, can I download the pre-training model from the website in advance? | closed | completed | false | 5 | [] | [] | 2022-11-19T07:57:43Z | 2024-05-22T15:05:36Z | 2022-11-20T17:52:34Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | Bayern4ever-dot | 67,447,782 | MDQ6VXNlcjY3NDQ3Nzgy | User | false |
huggingface/diffusers | 4,212,129,820 | I_kwDOHa8MBc77EAAc | 13,421 | https://github.com/huggingface/diffusers/issues/13421 | https://api.github.com/repos/huggingface/diffusers/issues/13421 | Add negative_prompt parameter to GLMImagePipeline | ## Description
`GLMImagePipeline.__call__()` supports `negative_prompt_embeds` but does not accept a `negative_prompt` string parameter. When CFG is active (`guidance_scale > 1`), the unconditional prompt is hardcoded to `""` with no way for users to provide a custom negative prompt.
This is the same pattern that was... | closed | completed | false | 3 | [] | [] | 2026-04-06T14:17:32Z | 2026-04-06T23:59:20Z | 2026-04-06T23:59:20Z | NONE | null | 20260407T133413Z | 2026-04-07T13:34:13Z | akshan-main | 97,239,696 | U_kgDOBcvCkA | User | false |
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