How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("wikeeyang/Real-Qwen-Image-v1.0", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Real-Qwen-Image v1.0 version:

本模型为 Qwen_Image 微调模型,主要提升了出图的清晰度和写实感。具体效果参见示例图片,图片中也附带有 ComfyUI 工作流,本模型极易使用、快速出图、LoRA兼容性良好。

The model is the Qwen_Image fine-tuned model, It enhances the clarity and realism of the generated images. For specific effects, please refer to the example images, which also include the ComfyUI workflow. The model is very easy to use and quickly generates images, and have a good LoRA compatibility.

Also on:

https://www.modelscope.cn/models/wikeeyang/Real-Qwen-Image https://civitai.com/models/1898752

模型使用:

基本组合:euler+simple,cfg 1.0,steps 20 - 30,您可以尝试不同的组合。

Basic: euler+simple, cfg 1.0, steps 20 - 30, You can try more different combinations.

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License Agreement

Qwen-Image is licensed under Apache 2.0.

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