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
File size: 1,339 Bytes
4684d79 dad256a 4684d79 dad256a 4684d79 dad256a 4684d79 dad256a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | """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"]
|