[WIP] Upload folder using huggingface_hub (multi-commit 5839dd1a76cbb5dd00935c75b58d9fd26bbdf2d45cdefa3852e2e1cb12e67946)

README.md

@@ -12,36 +12,10 @@ language:
 base_model:
 - stabilityai/stable-diffusion-2-1
 pipeline_tag: text-to-image
-library_name: diffusers
 ---
 
 # This LoRA is trained based on stabilityai/stable-diffusion-2-1.
 
-## Inference
-```python
-from diffusers import StableDiffusionPipeline, DDIMScheduler
-pretrained_model_name_or_path = "stabilityai/stable-diffusion-2-1"
-weight_dtype = torch.float16
-# 加载基础模型
-pipeline = StableDiffusionPipeline.from_pretrained(pretrained_model_name_or_path, torch_dtype=weight_dtype).to("cuda")
-pipeline.load_lora_weights("xchuan/lora-stable-diffusion-2-1-fupo")
-pipeline.scheduler = DDIMScheduler.from_config(pipeline.scheduler.config)
-prompt = "A cartoon woman with pigtails, round face, colorful dress, and sunglasses"
-
-# 使用加载的 LoRA 模型进行推理
-image = pipeline(prompt).images[0]
-
-# 使用 matplotlib 显示生成的图像
-plt.imshow(image)
-plt.axis('off')  # 隐藏坐标轴
-plt.show()
-
-```
-<div>
-  <img src="./image1.jpg" width="300" style="display: inline-block;"/>
-  <img src="./image2.jpg" width="300" style="display: inline-block;"/>
-</div>
-
 ## Training code
 
 ```python

pytorch_lora_weights.safetensors

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