Upload folder using huggingface_hub
Browse files- .gitattributes +4 -0
- README.md +68 -3
- README_ja.md +70 -0
- assets/images/erased_bg_sample.webp +3 -0
- assets/images/main_image.webp +3 -0
- assets/images/sample.webp +3 -0
- prompt.txt +36 -0
- sample_images/dragon.webp +3 -0
- workflows/workflow_animetic_light.json +1321 -0
.gitattributes
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README.md
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# Animetic Light
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[<img src="./assets/images/main_image.webp" alt="main image" width="400">](./assets/images/main_image.webp)
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[](README_ja.md)
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[](README.md)
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An experimental model for background generation and relighting targeting anime-style images.
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This is a LoRA compatible with FramePack's 1-frame inference.
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For photographic relighting, IC-Light V2 is recommended.
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- [IC-Light V2 (Flux-based IC-Light models) · lllyasviel IC-Light · Discussion #98](https://github.com/lllyasviel/IC-Light/discussions/98)
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- [IC-Light V2-Vary · lllyasviel IC-Light · Discussion #109](https://github.com/lllyasviel/IC-Light/discussions/109)
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## Features
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- Generates backgrounds based on prompts and performs relighting while preserving the character region.
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- Character inpainting function (originally built into the model, but enhanced with additional datasets).
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## Generation Examples
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[<img src="./assets/images/sample.webp" alt="animatic light sample" width="500">](./assets/images/sample.webp)
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## How to Use
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- Prepare an image with a simple, flat background.
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Even with an image that already has a background, roughly filling that background area with a single color may still work.
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[<img src="./assets/images/erased_bg_sample.webp" alt="erase bg sample" width="300">](./assets/images/erased_bg_sample.webp)
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- Prompts are recommended to be created with Gemini Flash 2.5.
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A prompt length of 700 characters or more (including spaces and line breaks) is recommended.
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Prompts for Gemini Flash 2.5 to help with prompt generation are available [here](./prompt.txt).
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By inputting an image and a brief description, a complete prompt will be output.
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- Example 1: <Image of a dragon\> "A dragon flying while breathing blue fire. The background is a volcano."
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- Example 2: <Image of a dragon\> "Volcano"
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- Add the following tags to the beginning of your prompt:
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`illustration style`, (optional: `ambient lighting`, `dim lighting`)
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### ComfyUI Workflow
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Workflow file is [here](./workflows/workflow_animetic_light.json)
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Sample image is [here](./sample_images/dragon.webp)
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Please use [xhiroga/ComfyUI-FramePackWrapper_PlusOne](https://github.com/xhiroga/ComfyUI-FramePackWrapper_PlusOne).
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For model installation instructions, please refer to the documentation for your respective inference environment.
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Also, please place `animetic_light.safetensors` in the `ComfyUI/models/loras` directory.
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## Resources
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### FramePack
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- [GitHub - lllyasviel/FramePack: Lets make video diffusion practical!](https://github.com/lllyasviel/FramePack)
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### Inference Environments
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- [GitHub - xhiroga/ComfyUI-FramePackWrapper_PlusOne](https://github.com/xhiroga/ComfyUI-FramePackWrapper_PlusOne)
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- [GitHub - kijai/ComfyUI-FramePackWrapper](https://github.com/kijai/ComfyUI-FramePackWrapper)
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- [GitHub - git-ai-code/FramePack-eichi](https://github.com/git-ai-code/FramePack-eichi)
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### Training Environments
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- [GitHub - kohya-ss/musubi-tuner](https://github.com/kohya-ss/musubi-tuner)
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- [musubi-tuner/docs/framepack_1f.md at main · kohya-ss/musubi-tuner](https://github.com/kohya-ss/musubi-tuner/blob/main/docs/framepack_1f.md)
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---
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[](https://x.com/ippanorc)
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README_ja.md
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# Animetic Light
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[<img src="./assets/images/main_image.webp" alt="main image" width="400">](./assets/images/main_image.webp)
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[](README_ja.md)
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[](README.md)
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アニメスタイルの画像を対象とした、背景生成およびリライティングのための実験的モデルです。
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FramePackの1フレーム推論に対応したLoRAです。
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写真のリライティングには、IC-Light V2 を推奨します。
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- [IC-Light V2 (Flux-based IC-Light models) · lllyasviel IC-Light · Discussion #98](https://github.com/lllyasviel/IC-Light/discussions/98)
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- [IC-Light V2-Vary · lllyasviel IC-Light · Discussion #109](https://github.com/lllyasviel/IC-Light/discussions/109)
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## 機能
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- プロンプトに基づいて背景を生成し、キャラクター部分は保持したままリライティングを行います。
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- キャラクターのインペインティング機能(モデルに元々備わっている機能ですが、追加データセットで強化されています)。
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## 生成例
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[<img src="./assets/images/sample.webp" alt="animatic light sample" width="500">](./assets/images/sample.webp)
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## 使い方
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- シンプルでフラットな背景を持つ画像をご用意ください。
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または背景のある画像の場合、その背景部分を大まかに単色で塗りつぶすだけでも、機能することがあります。
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[<img src="./assets/images/erased_bg_sample.webp" alt="erase bg sample" width="300">](./assets/images/erased_bg_sample.webp)
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- プロンプトは、Gemini Flash 2.5での作成を推奨します。
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プロンプトの長さは700文字以上(スペース、改行含む)が推奨されます。
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プロンプト生成に役立つGemini Flash 2.5用のプロンプトは[こちら](./prompt.txt)。
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画像と簡単な説明を入力すると、補完されたプロンプトが出力されます。
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- 例1: <ドラゴンの画像\> "ドラゴンが青い炎を吹きながら飛んでいる。背景は火山。"
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- 例2: <ドラゴンの画像\> "火山"
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- プロンプトの先頭に以下のタグを付与します。
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`illustration style`, (オプション: `ambient lighting`, `dim lighting`)
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### ComfyUIワークフロー
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ワークフローファイルは[こちら](./workflows/workflow_animetic_light.json)
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サンプル画像は[こちら](./sample_images/dragon.webp)
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[xhiroga/ComfyUI-FramePackWrapper_PlusOne](https://github.com/xhiroga/ComfyUI-FramePackWrapper_PlusOne)をご使用ください。
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モデルのインストール方法については、各推論環境のドキュメントをご参照ください。
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また、`animetic_light.safetensors`を`ComfyUI/models/loras`ディレクトリに配置してください。
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## リソース
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|
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### FramePack
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53 |
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- [GitHub - lllyasviel/FramePack: Lets make video diffusion practical!](https://github.com/lllyasviel/FramePack)
|
55 |
+
|
56 |
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### 推論環境
|
57 |
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|
58 |
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- [GitHub - xhiroga/ComfyUI-FramePackWrapper_PlusOne](https://github.com/xhiroga/ComfyUI-FramePackWrapper_PlusOne)
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59 |
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- [GitHub - kijai/ComfyUI-FramePackWrapper](https://github.com/kijai/ComfyUI-FramePackWrapper)
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- [GitHub - git-ai-code/FramePack-eichi](https://github.com/git-ai-code/FramePack-eichi)
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### 学習環境
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- [GitHub - kohya-ss/musubi-tuner](https://github.com/kohya-ss/musubi-tuner)
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- [musubi-tuner/docs/framepack_1f.md at main · kohya-ss/musubi-tuner](https://github.com/kohya-ss/musubi-tuner/blob/main/docs/framepack_1f.md)
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|
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---
|
68 |
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データセット作成・その他のお仕事募集中!メールアドレスかXのDMまでご連絡ください。
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[](https://x.com/ippanorc)
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assets/images/erased_bg_sample.webp
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Git LFS Details
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assets/images/main_image.webp
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Git LFS Details
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assets/images/sample.webp
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Git LFS Details
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prompt.txt
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Caption the image in continuous text, covering elements from foreground to background. The caption must be written in English. Refer to the <EXAMPLES> and follow the <STRUCTURE> and <RULES>, <PROHIBIT> below to caption the image.
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<RULES>
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- The user inputs an image and a background prompt.
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- The user input image has a simple, flat background (or the background is removed). The specified background prompt is completed according to these <RULES>. A caption for the character is also required.
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- The prompt must be detailed. The prompt must be greater than 700 characters in length. The background and character prompts should be roughly equal in length.
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- Write an image caption in a run of text, like the examples in <EXAMPLES>.
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- Include the subject, positional relationship of characters, composition, angle of view, character features, character's clothing, character's actions (also write objects necessary for the action), the state of the background, and other objects.
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- If parts are unclear due to overexposure (blown-out highlights), underexposure (crushed blacks), or other reasons, write them only if you are more than 50% confident.
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- Users can add additional rules and info. Please follow the rules specified by the user.
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<PROHIBITS>
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- Prohibit past tense and future tense.
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- Do not write speculations; write definitively. For example, instead of "floral pattern (probably cherry blossom)," write "floral pattern" or "cherry blossom floral pattern."
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- Prohibit including structure item names in the caption from the "<STRUCTURE>" section (e.g., Subject Description, Who, Related culture, etc.).
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- Prohibit "probability" prompts that express probability (e.g., seems like, looks like, appears to be, likely, probably, possibly, might, may, could, suggests, implies, indicates, is thought to be, is inferred to be).
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- Do not mention any text contained in the image.
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- Consider the angle of the user input image, and do not include elements that should not be present within that angle. As a failure example, consider a 'close-up' and 'top-down angle' that nevertheless includes the word 'sky.' However, if it's a 'panoramic view,' then including it might be acceptable. Use your discretion.
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- Do not mention simple backgrounds included in the user's input image. You should generate the background based on the user's input prompt.
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For example, in the background prompt, "The background is a vibrant, sun-drenched beach with crystal-clear turquoise waters lapping at the shore. White, soft sand stretches out behind him, dotted with a few scattered seashells. Palm trees with lush green fronds sway gently in the distance under a bright blue sky with a few wispy white clouds. The image adopts a full-body composition, viewed from a high angle looking down at the character.", the following part is against the rules: "a bright blue sky with a few wispy white clouds. ... viewed from a high angle looking down at the character."
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<EXAMPLES>
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- (Example 1) The girl wearing a black dress, her eyes are purple, and she is holding a blue rose in her hand. The background is dark blue. The image is composed in the middle ground. The half body.
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- (Example 2) A red-haired man wearing only his underwear, sitting on a rock, his wings behind his back, the background is a beautiful landscape. The image adopts panoramic composition, the whole body.
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<STRUCTURE>
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Subject Description:
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Who: e.g. "The girl" (Example 1), "A red-haired man" (Example 2),
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Attire: e.g. "wearing a black dress" (Example 1), "wearing only his underwear" (Example 2),
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Physical features/Items: e.g. "her eyes are purple, and she is holding a blue rose in her hand" (Example 1), "his wings behind his back" (Example 2),
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Action/Pose: e.g. "sitting on a rock" (Example 2),
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Background Description:
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What kind of background: e.g. "The background is dark blue." (Example 1), "the background is a beautiful landscape" (Example 2),
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Composition and Shot Description:
|
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Type of composition: e.g. "composed in the middle ground" (Example 1), "adopts panoramic composition" (Example 2),
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Shot range: e.g. "The half body" (Example 1), "the whole body" (Example 2),
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sample_images/dragon.webp
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workflows/workflow_animetic_light.json
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1 |
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2 |
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