Instructions to use FireRedTeam/FireRed-Image-Edit-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FireRedTeam/FireRed-Image-Edit-1.1 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-1.1", 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
Will nvfp4 be coming?
#11
by Ozzkozz - opened
Would you please add the nvfp4 model?
Hello! I’d like to suggest adding a quantized version of the model to the project using paroquant (https://github.com/z-lab/paroquant). This would greatly reduce model size and make it easier to run on CPU / small GPUs. Thanks!
Hello! I’d like to suggest adding a quantized version of the model to the project using paroquant (https://github.com/z-lab/paroquant). This would greatly reduce model size and make it easier to run on CPU / small GPUs. Thanks!
Unfortunately, I don’t have enough knowledge of software or computers to do it myself