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joyfox/Qwen-Image-Edit-Giant-Figurine
Qwen-Image-Edit-Giant-Figurine is a image-to-image model from joyfox. Use it when you need one image transformed into another. It is set up for diffusers. The card lists the license as apache-2.0.
Downloads · 30 days
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14% of all-time downloads
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.safetensors472 MB · 98%
From the Hugging Face model README
This is a model for generation of character statues, trained on Qwen/Qwen-Image-Edit, and it is mainly used to generate a photo of the current giant figurine with oneself.For use in ComfyUI.
from diffusers import QwenImageEditPipeline
import torch
from PIL import Image
# Load the pipeline
pipeline = QwenImageEditPipeline.from_pretrained("Qwen/Qwen-Image-Edit")
pipeline.to(torch.bfloat16)
pipeline.to("cuda")
# Load trained LoRA weights for in-scene editing
pipeline.load_lora_weights("valiantcat/Qwen-Image-Edit-Giant-Figurine",weight_name="qwen-edit-giant-figurine.safetensors")
# Load input image
image = Image.open("./result/test.jpg").convert("RGB")
# Define in-scene editing prompt
prompt = "turn the image into a giant figurine and take a photo with the figurine. The figurine has a large head and a rounded cartoon style. The scene is replaced with a gallery style. "
# Generate edited image with enhanced scene understanding
inputs = {
"image": image,
"prompt": prompt,
"generator": torch.manual_seed(12345),
"true_cfg_scale": 4.0,
"negative_prompt": " ",
"num_inference_steps": 50,
}
with torch.inference_mode():
output = pipeline(**inputs)
output_image = output.images[0]
output_image.save("restlt.png")
turn the image into a giant figurine and take a photo with the figurine. The figurine has a large head and a rounded cartoon style. The scene is replaced with a gallery style.
There is no fixed trigger word. The specific removal prompt needs to be tested more
Weights for this model are available in Safetensors format.
This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(https://vvicat.com/).Business cooperation is welcome