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- ---
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- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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- # Doc / guide: https://huggingface.co/docs/hub/model-cards
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- {}
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- ---
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-
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  # LoRA model of the Genshin Characters
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  ## Data source:
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  Manually captured 64 characters at different angles in the character directory of the Genshin game, 20 pictures for each character.
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- ## Training code:
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- [lora-scripts](https://github.com/Akegarasu/lora-scripts).
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- ## Usage:
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- prompt: 1[Gender], solo, [EN_Name], [Arbitrary scene description], For example, "1girl, solo, Nahida, on the playground".
 
 
 
 
 
 
 
 
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  Negative prompt (You can choose the following three ways):
 
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  1. \
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  2. (((NSFW))),poorly drawn, anatomical nonsense, bad anatomy, bad feet, bad hands, bad proportions, quality
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  3. (worst quality, low quality:1.4), (monochrome:1.1), turn pale, text, watermark
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # LoRA model of the Genshin Characters
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  ## Data source:
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  Manually captured 64 characters at different angles in the character directory of the Genshin game, 20 pictures for each character.
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+ ## Train:
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+ Training code: [lora-scripts](https://github.com/Akegarasu/lora-scripts).
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+ Batch training code: [batch_train_loras](https://github.com/RobertLau666/batch_train_loras).
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+ ## Usage:
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+ prompt:
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+ ```txt
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+ 1[Gender], solo, [EN_Name], [Arbitrary scene description]
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+ ```
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+ For example:
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+ ```txt
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+ "1girl, solo, Nahida, on the playground
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+ ```
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  Negative prompt (You can choose the following three ways):
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+ ```txt
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  1. \
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  2. (((NSFW))),poorly drawn, anatomical nonsense, bad anatomy, bad feet, bad hands, bad proportions, quality
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  3. (worst quality, low quality:1.4), (monochrome:1.1), turn pale, text, watermark
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+ ```
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+
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+ ```python
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+ from diffusers import StableDiffusionPipeline
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+ import torch
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+
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+ model_id = "ckpt/anything-v3.0"
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+ pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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+
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+ lora_file = "Nahida.safetensors"
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+ pipe.load_lora_weights(lora_file)
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+ pipe = pipe.to("cuda")
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+
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+ prompt = "1girl, Nahida, solo, on the playground"
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+ image = pipe(prompt).images[0]
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+ image.save("./hatsune_miku.png")
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+ ```