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
人物面部一致性方面相当不好
#7
by Myok2025 - opened
尤其是翻新旧照片、双图或三图合成等方面,人物面部一致性方面存在问题,不如Qwen-image-Edit
你好,我们快速了更新了1.1版本,新增了保持人物面部一致性的开源SOTA能力,欢迎使用体验对比。请参考https://huggingface.co/FireRedTeam/FireRed-Image-Edit-1.1