Yasunori Ozaki commited on
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909c731
1 Parent(s): c7690e1

Update README

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Files changed (2) hide show
  1. README.md +2 -2
  2. README_en.md +3 -3
README.md CHANGED
@@ -40,7 +40,7 @@ Cool Japan Diffusion はStable Diffsionをファインチューニングして
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  # 使い方
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  手軽に楽しみたい方は、こちらの[Space](https://huggingface.co/spaces/aipicasso/cool-japan-diffusion-latest-demo)をお使いください。
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  詳しい本モデルの取り扱い方は[こちらの取扱説明書](https://alfredplpl.hatenablog.com/entry/2023/01/11/182146)にかかれています。
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- モデルは[ここ](https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-1/resolve/main/v2-1-1.ckpt)からダウンロードできます。
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  以下、一般的なモデルカードの日本語訳です。
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@@ -92,7 +92,7 @@ import torch
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  model_id = "aipicasso/cool-japan-diffusion-2-1-1-1"
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  scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
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- pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)#,use_auth_token="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")
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  pipe = pipe.to("cuda")
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  prompt = "anime, masterpiece, a portrait of a girl, good pupil, 4k, detailed"
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  # 使い方
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  手軽に楽しみたい方は、こちらの[Space](https://huggingface.co/spaces/aipicasso/cool-japan-diffusion-latest-demo)をお使いください。
42
  詳しい本モデルの取り扱い方は[こちらの取扱説明書](https://alfredplpl.hatenablog.com/entry/2023/01/11/182146)にかかれています。
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+ モデルは[ここ](https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-1-1/resolve/main/v2-1-1-1_fp16.ckpt)からダウンロードできます。
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  以下、一般的なモデルカードの日本語訳です。
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  model_id = "aipicasso/cool-japan-diffusion-2-1-1-1"
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  scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
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+ pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)
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  pipe = pipe.to("cuda")
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  prompt = "anime, masterpiece, a portrait of a girl, good pupil, 4k, detailed"
README_en.md CHANGED
@@ -16,7 +16,7 @@ TBA.
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  # Usage
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  You can try the model by our [Space](https://huggingface.co/spaces/aipicasso/cool-japan-diffusion-latest-demo).
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  I recommend to use the model by Web UI.
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- You can download the model [here](https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-1/resolve/main/v2-1-1.ckpt). Safetensor version is [here](https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-1/resolve/main/v2-1-1.safetensors). Japanese manual is [here](https://alfredplpl.hatenablog.com/entry/2023/01/11/182146).
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  ## Model Details
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  - **Developed by:** Robin Rombach, Patrick Esser, Alfred Increment
@@ -42,7 +42,7 @@ You can download the model [here](https://huggingface.co/aipicasso/cool-japan-di
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  - Diffusers
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  ## Web UI
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- Download the model [here](https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-1/resolve/main/v2-1-1.ckpt).
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  Then, install [Web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) by AUTIMATIC1111.
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  ## Diffusers
@@ -62,7 +62,7 @@ import torch
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  model_id = "aipicasso/cool-japan-diffusion-2-1-1-1"
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  scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
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- pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)#,use_auth_token="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")
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  pipe = pipe.to("cuda")
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  prompt = "anime, masterpiece, a portrait of a girl, good pupil, 4k, detailed"
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  # Usage
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  You can try the model by our [Space](https://huggingface.co/spaces/aipicasso/cool-japan-diffusion-latest-demo).
18
  I recommend to use the model by Web UI.
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+ You can download the model [here](https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-1-1/resolve/main/v2-1-1-1_fp16.ckpt). Safetensor version is [here](https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-1-1/resolve/main/v2-1-1-1_fp16.safetensors). Japanese manual is [here](https://alfredplpl.hatenablog.com/entry/2023/01/11/182146).
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  ## Model Details
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  - **Developed by:** Robin Rombach, Patrick Esser, Alfred Increment
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  - Diffusers
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  ## Web UI
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+ Download the model [here](https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-1-1/resolve/main/v2-1-1-1_fp16.ckpt).
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  Then, install [Web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) by AUTIMATIC1111.
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  ## Diffusers
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  model_id = "aipicasso/cool-japan-diffusion-2-1-1-1"
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  scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
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+ pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)
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  pipe = pipe.to("cuda")
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  prompt = "anime, masterpiece, a portrait of a girl, good pupil, 4k, detailed"