Instructions to use FireRedTeam/FireRed-Image-Edit-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FireRedTeam/FireRed-Image-Edit-1.0 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("FireRedTeam/FireRed-Image-Edit-1.0", 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Download assets/logo.png from FireRedTeam/FireRed-Image-Edit-1.0: direct link, hf CLI and curl.
- Browser
- Download file 224 kB
-
https://huggingface.co/FireRedTeam/FireRed-Image-Edit-1.0/resolve/main/assets/logo.png
- Command line
-
hf download hf://FireRedTeam/FireRed-Image-Edit-1.0/assets/logo.png
-
curl -L -o logo.png https://huggingface.co/FireRedTeam/FireRed-Image-Edit-1.0/resolve/main/assets/logo.png
224 kB

- Xet hash:
- 63f0ac6355ced2d875b85c185f4dcdfe42e3efb1d964d91caa16e655167085c0
- Size of remote file:
- 224 kB
- SHA256:
- f62889edf930245dbc59c8b1deed104b694e6cabaeb085c5ec628774c33b7495
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