README.md

metadata

license: apache-2.0
language:
  - en
base_model:
  - Qwen/Qwen-Image-Edit
tags:
  - image-generation
  - lora
  - Qwen-Image
pipeline_tag: image-to-image
library_name: diffusers
widget:
  - text: 'turn the image into the oil painting style.  '
    output:
      url: result/result1.png
  - text: 'turn the image into the oil painting style.  '
    output:
      url: result/result2.png
  - text: 'turn the image into the oil painting style.   '
    output:
      url: result/result3.png

starsfriday Qwen-Image-Edit LoRA

Prompt

turn the image into the oil painting style.

Prompt

turn the image into the oil painting style.

Prompt

turn the image into the oil painting style.

Model Card for Model ID

This is a model for generation of oil painting style, trained on Qwen/Qwen-Image-Edit, and the main purpose is to generate images in an oil painting style. Surprisingly, this oil painting style can bypass the real-person image review process of sora2.For use in ComfyUI.

ComfyUI Workflow

This LoRA works with a modified version of Comfy's Qwen-Image-Edit workflow. The main modification is adding a Qwen-Image-Edit LoRA node connected to the base model.

See the Downloads section above for the modified workflow.

Video Demos

Direct Use

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("starsfriday/Qwen-Image-Edit-Skip-Sora",weight_name="qwen_edit_oil-paint.safetensors")

# Load input image
image = Image.open("./result/test.jpg").convert("RGB")

# Define in-scene editing prompt
prompt = "turn the image into the oil painting 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")

Trigger phrase

turn the image into the oil painting style.

Download model

Weights for this model are available in Safetensors format.

Download

Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(https://vvicat.com/).Business cooperation is welcome