Text-to-3D
Diffusers
Safetensors
English
StableDiffusionLDM3DPipeline
stable-diffusion
stable-diffusion-diffusers
text-to-image
Eval Results (legacy)
Instructions to use Intel/ldm3d-4c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/ldm3d-4c with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Intel/ldm3d-4c", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Hosted inference API
#4
by alexgradinaru - opened
Will this model be available in the Hosted inference API ?
I get an error when trying to test online or locally: AutoPipeline can't find a pipeline linked to StableDiffusionLDM3DPipeline for None
It works great with the diffusers pipeline.
Hi!
The hosted inference API wont work for LDM3D since our model has 2 outputs and the API only support one task per model, like text->image, image-to-image, image-depth.
If you want to use it you could also you the HF space we open sourced https://huggingface.co/spaces/Intel/ldm3d
Its using a different checkpoint but at least you ll have an idea of the output
Estelle
is there any colab notebook for this ?