FireRed-Image-Edit
Collection
7 items • Updated • 16
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-Lightning", 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]Please refer to FireRed-Image-Edit-1.0 to learn how to use the distilled edit lora.
use with diffusers 🧨:
make sure to install diffusers from main (pip install git+https://github.com/huggingface/diffusers.git)
from diffusers import QwenImageEditPlusPipeline
import torch
from PIL import Image
pipe = QwenImageEditPlusPipeline.from_pretrained(
"FireRedTeam/FireRed-Image-Edit-1.0", torch_dtype=torch.bfloat16,
).to("cuda")
pipe.load_lora_weights(
"FireRedTeam/FireRed-Image-Edit-1.0-Lightning", weight_name="FireRed-Image-Edit-1.0-Lightning-8steps-v1.0.safetensors"
)
prompt = "在书本封面Python的下方，添加一行英文文字2nd Edition"
input_image_path = "./examples/edit_example.png"
input_image_raw = Image.open(input_image_path).convert('RGB')
image = pipe(
image = [input_image_raw],
prompt = prompt,
height = None,
width = None,
num_inference_steps = 8,
generator=torch.manual_seed(0),
true_cfg_scale=1.0, # 不使用标准 CFG
).images[0]
image.save("firered_image_edit_fewsteps.png")
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