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", torch_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
| """Entry point for the Krea 2 reference-image edit modular blocks (loaded via `trust_remote_code`). | |
| Importing this module registers the Krea 2 classes into the `diffusers` namespace / modular mapping so that, | |
| on a stock `diffusers` install (which does not ship Krea 2), component loading and `init_pipeline` resolve: | |
| - `Krea2Transformer2DModel` — referenced as `["diffusers", "Krea2Transformer2DModel"]` in the base repo's | |
| `model_index.json`; | |
| - `Krea2ModularPipeline` — the model-specific pipeline class (`init_pipeline` maps `model_name="krea2"` to it; | |
| without this it would fall back to the generic `ModularPipeline`, which lacks the Krea 2 properties such as | |
| `requires_unconditional_embeds`, `vae_scale_factor`, `num_channels_latents`). | |
| """ | |
| import diffusers | |
| from diffusers.modular_pipelines.modular_pipeline import ( | |
| MODULAR_PIPELINE_MAPPING, | |
| _create_default_map_fn, | |
| ) | |
| from .transformer_krea2 import Krea2Transformer2DModel # noqa: F401 (registers into diffusers namespace) | |
| from .modular_pipeline import Krea2ModularPipeline | |
| from .modular_blocks_krea2_edit import Krea2EditBlocks | |
| diffusers.Krea2ModularPipeline = Krea2ModularPipeline | |
| MODULAR_PIPELINE_MAPPING.setdefault("krea2", _create_default_map_fn("Krea2ModularPipeline")) | |
| __all__ = ["Krea2EditBlocks", "Krea2Transformer2DModel", "Krea2ModularPipeline"] | |