Instructions to use devsquad8338/FireRed-Image-Edit-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use devsquad8338/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("devsquad8338/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] - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 2db3fb0e5d4cfbeb05444f538b9de3cd747927c379466bd55382627a6fc3b95e
- Size of remote file:
- 1.02 MB
- SHA256:
- deec5bf77065272ddfc4dd81a0b012526032c0e67a92f9bbd7356da77aea7f3a
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