Create README.md
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README.md
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+
# svjack/GenshinImpact_XL_Base
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This model is derived from [CivitAI](https://civitai.com/models/386505).
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## Acknowledgments
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Special thanks to [mobeimunan](https://civitai.com/user/mobeimunan) for their contributions to the development of this model.
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## Supported Characters
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The model currently supports the following 73 characters from Genshin Impact:
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```python
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name_dict = {
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'旅行者女': 'lumine',
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'旅行者男': 'aether',
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'派蒙': 'PAIMON',
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'迪奥娜': 'DIONA',
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'菲米尼': 'FREMINET',
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'甘雨': 'GANYU',
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'凯亚': 'KAEYA',
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'莱依拉': 'LAYLA',
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'罗莎莉亚': 'ROSARIA',
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'七七': 'QIQI',
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'申鹤': 'SHENHE',
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'神里绫华': 'KAMISATO AYAKA',
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'优菈': 'EULA',
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'重云': 'CHONGYUN',
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'夏洛蒂': 'charlotte',
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'莱欧斯利': 'WRIOTHESLEY',
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'艾尔海森': 'ALHAITHAM',
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'柯莱': 'COLLEI',
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'纳西妲': 'NAHIDA',
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'绮良良': 'KIRARA',
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'提纳里': 'TIGHNARI',
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'瑶瑶': 'YAOYAO',
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'珐露珊': 'FARUZAN',
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'枫原万叶': 'KAEDEHARA KAZUHA',
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'琳妮特': 'LYNETTE',
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'流浪者 散兵': 'scaramouche',
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'鹿野院平藏': 'SHIKANOIN HEIZOU',
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'琴': 'JEAN',
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'砂糖': 'SUCROSE',
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'温迪': 'VENTI',
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'魈': 'XIAO',
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'早柚': 'SAYU',
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'安柏': 'AMBER',
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'班尼特': 'BENNETT',
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'迪卢克': 'DILUC',
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'迪西娅': 'DEHYA',
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'胡桃': 'HU TAO',
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'可莉': 'KLEE',
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'林尼': 'LYNEY',
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'托马': 'THOMA',
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'香菱': 'XIANG LING',
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'宵宫': 'YOIMIYA',
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'辛焱': 'XINYAN',
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'烟绯': 'YANFEI',
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'八重神子': 'YAE MIKO',
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'北斗': 'BEIDOU',
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'菲谢尔': 'FISCHL',
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'九条裟罗': 'KUJO SARA',
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'久岐忍': 'KUKI SHINOBU',
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'刻晴': 'KEQING',
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'雷电将军': 'RAIDEN SHOGUN',
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'雷泽': 'RAZOR',
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'丽莎': 'LISA',
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'赛诺': 'CYNO',
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'芙宁娜': 'FURINA',
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'芭芭拉': 'BARBARA',
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'公子 达达利亚': 'TARTAGLIA',
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'坎蒂丝': 'CANDACE',
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'莫娜': 'MONA',
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'妮露': 'NILOU',
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'珊瑚宫心海': 'SANGONOMIYA KOKOMI',
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'神里绫人': 'KAMISATO AYATO',
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'行秋': 'XINGQIU',
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'夜兰': 'YELAN',
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'那维莱特': 'NEUVILLETTE',
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'娜维娅': 'NAVIA',
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'阿贝多': 'ALBEDO',
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'荒泷一斗': 'ARATAKI ITTO',
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'凝光': 'NING GUANG',
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'诺艾尔': 'NOELLE',
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'五郎': 'GOROU',
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'云堇': 'YUN JIN',
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'钟离': 'ZHONGLI'
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}
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```
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## Installation
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To use this model, you need to install the following dependencies:
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```bash
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pip install -U diffusers transformers sentencepiece peft controlnet-aux
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```
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## Example Usage
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### Generating an Image of Zhongli
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Here's an example of how to generate an image of Zhongli using this model:
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```python
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from diffusers import StableDiffusionXLPipeline
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import torch
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pipeline = StableDiffusionXLPipeline.from_pretrained(
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"svjack/GenshinImpact_XL_Base",
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torch_dtype=torch.float16
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).to("cuda")
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prompt = "solo,ZHONGLI\(genshin impact\),1boy,portrait,upper_body,highres,"
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negative_prompt = "nsfw,lowres,(bad),text,error,fewer,extra,missing,worst quality,jpeg artifacts,low quality,watermark,unfinished,displeasing,oldest,early,chromatic aberration,signature,extra digits,artistic error,username,scan,[abstract],"
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image = pipeline(
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prompt=prompt,
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negative_prompt=negative_prompt,
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generator=torch.manual_seed(0),
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).images[0]
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image
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image.save("zhongli_1024x1024.png")
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```
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<!--
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/3IkZz7uXW9kc-lTnKdQN8.png)
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<img src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/3IkZz7uXW9kc-lTnKdQN8.png" width="768" height="768">
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-->
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<div style="display: flex; flex-direction: column; align-items: center;">
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<div style="margin-bottom: 10px;">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/3IkZz7uXW9kc-lTnKdQN8.png" width="768" height="768">
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<p style="text-align: center;">钟离</p>
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</div>
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</div>
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### Using Canny ControlNet to Restore 2D Images from 3D Toy Photos
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Here's an example of how to use Canny ControlNet to restore 2D images from 3D toy photos:
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#### Genshin Impact 3D Toys
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<!--
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/YNG9vRqZGvUSxb_UUrLE5.jpeg)
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/1JfhfFi9qogHwB4M2S54m.jpeg)
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-->
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<div style="display: flex; flex-direction: column; align-items: center;">
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<div style="margin-bottom: 10px;">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/YNG9vRqZGvUSxb_UUrLE5.jpeg" width="512" height="768">
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<p style="text-align: center;">钟离</p>
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</div>
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<div style="margin-bottom: 10px;">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/1JfhfFi9qogHwB4M2S54m.jpeg" width="512" height="768">
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<p style="text-align: center;">派蒙</p>
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</div>
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</div>
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```python
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from diffusers import AutoPipelineForText2Image, ControlNetModel
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from diffusers.utils import load_image
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import torch
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from PIL import Image
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from controlnet_aux import CannyDetector
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controlnet = ControlNetModel.from_pretrained(
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"diffusers/controlnet-canny-sdxl-1.0", torch_dtype=torch.float16
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)
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pipeline = AutoPipelineForText2Image.from_pretrained(
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"svjack/GenshinImpact_XL_Base",
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controlnet=controlnet,
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torch_dtype=torch.float16
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).to("cuda")
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#pipeline.enable_model_cpu_offload()
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canny = CannyDetector()
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canny(Image.open("zhongli-cb.jpg")).save("zhongli-cb-canny.jpg")
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canny_image = load_image(
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"zhongli-cb-canny.jpg"
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)
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controlnet_conditioning_scale = 0.5
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generator = torch.Generator(device="cpu").manual_seed(1)
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images = pipeline(
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prompt="solo,ZHONGLI\(genshin impact\),1boy,portrait,highres",
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controlnet_conditioning_scale=controlnet_conditioning_scale,
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image=canny_image,
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num_inference_steps=50,
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guidance_scale=7.0,
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generator=generator,
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).images
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images[0]
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images[0].save("zhongli_trans.png")
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canny = CannyDetector()
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canny(Image.open("paimon-cb-crop.jpg")).save("paimon-cb-canny.jpg")
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canny_image = load_image(
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"paimon-cb-canny.jpg"
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)
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controlnet_conditioning_scale = 0.7
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generator = torch.Generator(device="cpu").manual_seed(3)
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images = pipeline(
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prompt="solo,PAIMON\(genshin impact\),1girl,portrait,highres, bright, shiny, high detail, anime",
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controlnet_conditioning_scale=controlnet_conditioning_scale,
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image=canny_image,
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num_inference_steps=50,
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guidance_scale=8.0,
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generator=generator,
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).images
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images[0]
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images[0].save("paimon_trans.png")
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```
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### Creating a Grid Image
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You can also create a grid image from a list of PIL Image objects:
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```python
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from PIL import Image
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def create_grid_image(image_list, rows, cols, cell_width, cell_height):
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"""
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Create a grid image from a list of PIL Image objects.
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:param image_list: A list of PIL Image objects
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:param rows: Number of rows in the grid
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:param cols: Number of columns in the grid
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:param cell_width: Width of each cell in the grid
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:param cell_height: Height of each cell in the grid
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:return: The resulting grid image
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"""
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total_width = cols * cell_width
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total_height = rows * cell_height
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grid_image = Image.new('RGB', (total_width, total_height))
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for i, img in enumerate(image_list):
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row = i // cols
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col = i % cols
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img = img.resize((cell_width, cell_height))
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x_offset = col * cell_width
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y_offset = row * cell_height
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grid_image.paste(img, (x_offset, y_offset))
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return grid_image
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create_grid_image([Image.open("zhongli-cb.jpg") ,Image.open("zhongli-cb-canny.jpg"), Image.open("zhongli_trans.png")], 1, 3, 512, 768)
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create_grid_image([Image.open("paimon-cb-crop.jpg") ,Image.open("paimon-cb-canny.jpg"), Image.open("paimon_trans.png")], 1, 3, 512, 768)
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```
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This will create a grid image showing the original, Canny edge detection, and transformed images side by side.
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<!--
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/vfffGerUQV9W1MHxc_rN_.png)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/ckrKqytF5MhanjIc_Vn1q.png)
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-->
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<div>
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<b><h3 style="text-align: center;">Below image list in : (Genshin Impact Toy/ Canny Image / Gemshin Impact Restore 2D Image)</h3></b>
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<div style="display: flex; flex-direction: column; align-items: center;">
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<div style="margin-bottom: 10px;">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/ckrKqytF5MhanjIc_Vn1q.png" width="1536" height="768">
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<p style="text-align: center;">钟离</p>
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</div>
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<div style="margin-bottom: 10px;">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/vfffGerUQV9W1MHxc_rN_.png" width="1536" height="768">
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<p style="text-align: center;">派蒙</p>
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</div>
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</div>
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</div>
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