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+Revision:master,CreatedAt:1751625321

README.md

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+# 高分辨率修复 - Kontext 图像编辑 LoRA
+
+## 模型介绍
+
+本 LoRA 模型是基于 [Kontext](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Kontext-dev) 模型和 [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) 训练的 LoRA 模型，使用本模型后，可输入指令 `Improve the clarity.` 提高图像的清晰度。
+
+## 模型效果
+
+||样例 1|样例 2|样例 3|
+|-|-|-|-|
+|原图|![](./assets/image_0.jpg)|![](./assets/image_6.jpg)|![](./assets/image_14.jpg)|
+|生成图|![](./assets/image_0_fix.jpg)|![](./assets/image_6_fix.jpg)|![](./assets/image_14_fix.jpg)|
+
+||样例 4|样例 5|样例 6 (是的，可以处理正常图片)|
+|-|-|-|-|
+|原图|![](./assets/image_1.jpg)|![](./assets/image_3.jpg)|![](./assets/image_2.jpg)|
+|生成图|![](./assets/image_1_fix.jpg)|![](./assets/image_3_fix.jpg)|![](./assets/image_2_fix.jpg)|
+
+## 使用说明
+
+本模型基于框架 [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio/tree/main/examples/flux) 训练，请先安装
+
+```
+git clone https://github.com/modelscope/DiffSynth-Studio.git  
+cd DiffSynth-Studio
+pip install -e .
+```
+
+```python
+import torch
+from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
+from PIL import Image
+from modelscope import snapshot_download
+
+snapshot_download("DiffSynth-Studio/FLUX.1-Kontext-dev-lora-highresfix", cache_dir="./models")
+pipe = FluxImagePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        ModelConfig(model_id="black-forest-labs/FLUX.1-Kontext-dev", origin_file_pattern="flux1-kontext-dev.safetensors"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
+    ],
+)
+pipe.load_lora(pipe.dit, "models/DiffSynth-Studio/FLUX.1-Kontext-dev-lora-highresfix/model.safetensors", alpha=1)
+
+image = Image.open("your_image.jpg")
+image = pipe(
+    prompt="Improve the clarity.",
+    kontext_images=image,
+    embedded_guidance=2.5,
+    seed=0,
+)
+image.save("output.jpg")
+```

configuration.json

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+{
+    "aigc_model": true,
+    "model_file_location": "model.safetensors",
+    "framework": "Pytorch",
+    "task": "other"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:099984965d92bebee7cd2619536e5bdb9b395a93f76a3903c966d023c51180a9
+size 306423688