Create README.md

README.md

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+### AUTOMATIC1111 WebUI Stable Diffusion
+`WebUIStableDiffusionPipeline` 是与 [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) 基本对齐的一个pipeline。
+
+该自定义Pipeline支持如下的功能：
+* 输入的 token 没有长度限制，可以超过77；
+* 支持clip_skip，即可以使用不同层text_encoder的输出；
+* 支持直接加载webui中的textual_inversion权重；
+
+
+```python
+import paddle
+from ppdiffusers.utils import image_grid
+from ppdiffusers import DiffusionPipeline
+from pathlib import Path
+
+pipe = DiffusionPipeline.from_pretrained("TASUKU2023/Chilloutmix", paddle_dtype=paddle.float16, custom_pipeline="junnyu/webui_ppdiffusers")
+
+# 自动下载civitai的lora及ti文件（请注意自己的网络。）
+# 介绍网页，程序将自动搜索介绍网页的下载链接
+pipe.download_civitai_lora_file('https://civitai.com/models/15365/hanfu')
+pipe.download_civitai_lora_file('https://civitai.com/models/12597/moxin')
+pipe.download_civitai_ti_file('https://civitai.com/models/1998/autumn-style')
+pipe.download_civitai_ti_file('https://civitai.com/models/21131/daisy-ridley-embedding')
+# 纯下载链接
+pipe.download_civitai_lora_file('https://civitai.com/api/download/models/21656')
+
+print("Supported Lora: " + "、 ".join([p.stem for p in Path(pipe.LORA_DIR).glob("*.safetensors")]))
+
+# 我们需要安装develop版的paddle才可以使用xformers
+# pipe.enable_xformers_memory_efficient_attention()
+scheduler_name = ["ddim", "pndm", "euler", "dpm-multi"]
+for enable_lora in [True, False]:
+    images = []
+    for sc in scheduler_name:
+        # 切换scheduler
+        pipe.switch_scheduler(sc)
+        # 指定clip_skip
+        clip_skip = 1
+        # 指定seed
+        generator = paddle.Generator().manual_seed(0)
+        # guidance_scale
+        guidance_scale = 3.5
+        prompt = "# shukezouma, negative space, , shuimobysim , portrait of a woman standing , willow branches, (masterpiece, best quality:1.2), traditional chinese ink painting, <lora:Moxin_10:1.0>, modelshoot style, peaceful, (smile), looking at viewer, wearing long hanfu, hanfu, song, willow tree in background, wuchangshuo,"
+        negative_prompt = "(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, skin spots, acnes, skin blemishes, age spot, glans, (watermark:2),"
+        img = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=50, height=768, width=512, clip_skip=clip_skip, guidance_scale=guidance_scale, generator=generator, enable_lora=enable_lora).images[0]
+        images.append(img)
+    if enable_lora:
+        image_grid(images, 2, 2).save(f"lora_enable.png")
+    else:
+        image_grid(images, 2, 2).save(f"lora_disable.png")
+```
+生成的图片如下所示：
+
+| lora_disable.png | lora_enable.png |
+|:----------:|:--------------:|
+|<center class="half"><img src="https://user-images.githubusercontent.com/50394665/230832029-c06a1367-1f2c-4206-9666-99854fcee240.png" width=50%></center> | <center class="half"><img src="https://user-images.githubusercontent.com/50394665/230832028-730ce442-dd34-4e36-afd0-81d40843359a.png" width=50%></center> |