Instructions to use diffusers-modular/krea2-edit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-modular/krea2-edit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-modular/krea2-edit", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download modular_config.json from diffusers-modular/krea2-edit: direct link, hf CLI and curl.
- Browser
- Download file 77 Bytes
-
https://huggingface.co/diffusers-modular/krea2-edit/resolve/main/modular_config.json
- Command line
-
hf download hf://diffusers-modular/krea2-edit/modular_config.json
-
curl -L -o modular_config.json https://huggingface.co/diffusers-modular/krea2-edit/resolve/main/modular_config.json
77 Bytes
| { | |
| "auto_map": { | |
| "ModularPipelineBlocks": "block.Krea2EditBlocks" | |
| } | |
| } | |