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README.md

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+---
+license: other
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- tryon
+- virtual-try-on
+- kontext
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: a photo
+widget:
+- text: "a photo of person wearing elegant dress"
+---
+
+# Kontext Tryon Universal - 1031
+
+这是一个基于 FLUX.1 的通用虚拟试穿（Virtual Try-On）LoRA 模型。
+
+## 模型信息
+
+- **基础模型**: FLUX.1-dev
+- **训练方法**: LoRA (Low-Rank Adaptation)
+- **训练数据**: Kontext 1022 merged with real (filtered)
+- **Epoch**: 4
+- **文件大小**: 4.6 GB
+- **文件格式**: SafeTensors
+
+## 使用方法
+
+### 使用 Diffusers 库
+
+```python
+from diffusers import FluxPipeline
+import torch
+
+# 加载基础模型
+pipe = FluxPipeline.from_pretrained(
+    "black-forest-labs/FLUX.1-dev",
+    torch_dtype=torch.bfloat16
+)
+
+# 加载 LoRA 权重
+pipe.load_lora_weights(
+    "mike-srp/kontext-tryon-universal-1031",
+    weight_name="epoch-4.safetensors"
+)
+
+pipe.to("cuda")
+
+# 生成图像
+prompt = "a photo of person wearing elegant dress"
+image = pipe(
+    prompt,
+    num_inference_steps=50,
+    guidance_scale=7.5
+).images[0]
+
+image.save("tryon_result.png")
+```
+
+### 下载模型文件
+
+```python
+from huggingface_hub import hf_hub_download
+
+model_path = hf_hub_download(
+    repo_id="mike-srp/kontext-tryon-universal-1031",
+    filename="epoch-4.safetensors"
+)
+
+print(f"模型已下载到: {model_path}")
+```
+
+### 在你的推理服务中使用
+
+```python
+import os
+from diffusers import FluxPipeline
+
+# 设置 LoRA 路径
+lora_path = "mike-srp/kontext-tryon-universal-1031"
+
+pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
+pipe.load_lora_weights(lora_path, weight_name="epoch-4.safetensors")
+```
+
+## 适用场景
+
+- 虚拟试穿
+- 服装展示
+- 时尚设计
+- 电商产品展示
+
+## 许可证
+
+请遵守 FLUX.1 的使用条款和相关许可证。
+
+## 作者
+
+- **Organization**: [srpone](https://huggingface.co/srpone)
+- **Author**: [mike-srp](https://huggingface.co/mike-srp)