FireRed-Image-Edit-1.0 Techinical Report
Paper • 2602.13344 • Published • 8
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]This repo contains the quantised, ComfyUI-ready models for FireRed-Image-Edit-1.1.
| Model | Download |
|---|---|
firered_image_edit_1.1_fp8_e4m3fn.safetensors |
⬇️ Download |
firered_image_edit_1.1_fp8_scaled_e4m3fn.safetensors |
⬇️ Download |
firered_image_edit_1.1_nvfp4.safetensors |
⬇️ Download |
🤗 HuggingFace | 🤖 ModelScope | 🖥️ Demo | 📄 Technical Report
We introduce FireRed-Image-Edit-1.1, an upgrade to our general-purpose image editing foundation model. Building upon the capabilities presented in the FireRed-Image-Edit-1.0 Technical Report, version 1.1 significantly enhances identity consistency, multi-image conditioning, and domain-specialized editing performance, bringing the model closer to real-world creative production needs.
Base model
FireRedTeam/FireRed-Image-Edit-1.1