prithivMLmods/Qwen-Image-Edit-2511-Unblur-Upscale

🤗 Hugging Face 来源image-to-imageapache-2.01.2 GBother✓ 4 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo prithivMLmods/Qwen-Image-Edit-2511-Unblur-Upscale ./model-folder
需要做种者 →

[!note] This adapter was experimental and trained to recover facial patterns from partially blurred images. The base model produces better overall quality, but it does not preserve those patterns.

[!note] Note: prithivMLmods/Qwen-Image-Edit-2511-Unblur-Upscale may make mistakes. Please check the Important Info section.

Qwen-Image-Edit-2511-Unblur-Upscale

Qwen-Image-Edit-2511-Unblur-Upscale is an adapter LoRA developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model, specifically designed to unblur and upscale images to high resolution. The model enhances image clarity by reducing blur, restoring fine details, and improving overall sharpness while preserving natural textures and realistic colors. It maintains strong visual consistency across lighting, edges, and color tones, ensuring the upscaled output looks clean, natural, and photographically authentic rather than over-processed. This makes it well suited for restoring low-quality, blurry, or low-resolution images into sharp, high-fidelity results. Above are example outputs demonstrating the model’s ability to deliver clear, high-resolution, and visually cohesive enhancements.

Quick Start with Diffusers

Compatible with versions 2509 and 2511.

pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image

# Switch to "mps" for Apple devices
pipe = DiffusionPipeline.from_pretrained(
    "Qwen/Qwen-Image-Edit-2511",
    dtype=torch.bfloat16,
    device_map="cuda"
)

pipe.load_lora_weights("prithivMLmods/Qwen-Image-Edit-2511-Unblur-Upscale")

prompt = "unblur and upscale"

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]

Trained on ModelScope.cn

Recommended: Qwen-Image-Edit-Unblur-Upscale_20.safetensors / Qwen-Image-Edit-Unblur-Upscale_15.safetensors

Trigger Prompt

Use the following prompt to apply the unblur and upscale effect:

unblur and upscale

Download Model

You can download the model files from the Files & versions tab: Download