Create README.md

README.md

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