Instructions to use drbaph/FireRed-Image-Edit-1.1_ComfyUI_Quants with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use drbaph/FireRed-Image-Edit-1.1_ComfyUI_Quants 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("drbaph/FireRed-Image-Edit-1.1_ComfyUI_Quants", 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
- Xet hash:
- 677e2dfc40ff168e6830a0454fd787da31dbef1e57f1f949b660b692f2395d9e
- Size of remote file:
- 20.4 GB
- SHA256:
- 9f88fddc14a059a96028aeb70e570e96162bc60b39e4ac56c4e55cfb82f02118
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