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@@ -3,26 +3,22 @@ library_name: diffusers
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  license: apache-2.0
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  language:
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  - ja
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- pipeline_tag: text-to-image
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  tags:
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  - stable-diffusion
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  ---
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- # 🐟 Evo-Ukiyoe-v1
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- πŸ€— [Models](https://huggingface.co/SakanaAI) | πŸ“ [Blog](TODO) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
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- **EvoSDXL-JP-v1** is an experimental education-purpose Japanese SDXL Lightning.
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- This model was created using the Evolutionary Model Merge method.
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- Please refer to our [report](https://arxiv.org/abs/2403.13187) and [blog](https://sakana.ai/evosdxl-jp/) for more details.
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- This model was produced by merging the following models.
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- We are grateful to the developers of the source models.
 
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- - [SDXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
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- - [Juggernaut-XL-v9](https://huggingface.co/RunDiffusion/Juggernaut-XL-v9)
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- - [SDXL-DPO](https://huggingface.co/mhdang/dpo-sdxl-text2image-v1)
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- - [JSDXL](https://huggingface.co/stabilityai/japanese-stable-diffusion-xl)
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- - [SDXL-Lightning](https://huggingface.co/ByteDance/SDXL-Lightning)
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  ## Usage
@@ -35,21 +31,16 @@ Use the code below to get started with the model.
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  1. Git clone this model card
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  ```
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- git clone https://huggingface.co/SakanaAI/EvoSDXL-JP-v1
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  ```
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  2. Install packages
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  ```
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- cd EvoSDXL-JP-v1
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  pip install -r requirements.txt
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  ```
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  3. Run
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  ```python
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- from evosdxl_jp_v1 import load_evosdxl_jp
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-
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- prompt = "柴犬"
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- pipe = load_evosdxl_jp(device="cuda")
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- images = pipe(prompt, num_inference_steps=4, guidance_scale=0).images
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- images[0].save("image.png")
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  ```
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  </details>
@@ -61,14 +52,15 @@ Use the code below to get started with the model.
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  <!-- Provide a longer summary of what this model is. -->
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  - **Developed by:** [Sakana AI](https://sakana.ai/)
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- - **Model type:** Diffusion-based text-to-image generative model
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  - **Language(s):** Japanese
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- - **Blog:** https://sakana.ai/TODO
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  ## License
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  The Python script included in this repository is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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- Please note that the license for the model/pipeline generated by this script is inherited from the source models.
 
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  ## Uses
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  This model is provided for research and development purposes only and should be considered as an experimental prototype.
@@ -80,7 +72,7 @@ Users must fully understand the risks associated with the use of this model and
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  ## Acknowledgement
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- Evo-Nishikie was trained based on Evo-Ukiyoe and Evo-Ukiyoe was trained based on Evo-SDXL-JP. We would like to thank the developers of the source models for their contributions and for making their work available.
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  - [SDXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
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  - [Juggernaut-XL-v9](https://huggingface.co/RunDiffusion/Juggernaut-XL-v9)
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  - [SDXL-DPO](https://huggingface.co/mhdang/dpo-sdxl-text2image-v1)
@@ -93,4 +85,4 @@ Evo-Nishikie was trained based on Evo-Ukiyoe and Evo-Ukiyoe was trained based on
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  url = {[https://huggingface.co/SakanaAI/Evo-Nishikie-v1](https://huggingface.co/SakanaAI/Evo-Nishikie-v1)},
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  title = {Evo-Nishikie},
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  author = {Clanuwat, Tarin and Shing, Makoto and Imajuku, Yuki and Kitamoto, Asanobu and Akama, Ryo}
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- }
 
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  license: apache-2.0
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  language:
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  - ja
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+ pipeline_tag: image-to-image
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  tags:
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  - stable-diffusion
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  ---
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+ # 🐟 Evo-Nishikie-v1
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+ πŸ€— [Models](https://huggingface.co/SakanaAI) | πŸ“ [Blog](https://sakana.ai/evo-ukiyoe/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
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+ **Evo-Nishikie-v1** is an experimental education-purpose Ukiyoe colorization model. The model is a ControlNet trained with [Evo-Ukiyoe](https://huggingface.co/SakanaAI/Evo-Ukiyoe-v1/).
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+ The dataset used to train the model came from Ukiyoe images belonged to [Ritsumeikan University, Art Research Center](https://www.arc.ritsumei.ac.jp/). The sample data is belonged to the [Pre-Modern Japanese Text dataset](http://codh.rois.ac.jp/pmjt/),
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+ owned by [National Institute of Japanese Literature](https://www.nijl.ac.jp/en/) and curated by [ROIS-DS Center for Open Data in the Humanities](http://codh.rois.ac.jp/).
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+
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+
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+ Please refer to our [blog](https://sakana.ai/evo-ukiyoe/) for more details.
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  ## Usage
 
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  1. Git clone this model card
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  ```
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+ git clone https://huggingface.co/SakanaAI/Evo-Nishikie-v1
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  ```
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  2. Install packages
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  ```
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+ cd Evo-Nishikie-v1
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  pip install -r requirements.txt
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  ```
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  3. Run
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  ```python
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+ TODO TODO TODO
 
 
 
 
 
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  ```
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  </details>
 
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  <!-- Provide a longer summary of what this model is. -->
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  - **Developed by:** [Sakana AI](https://sakana.ai/)
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+ - **Model type:** Diffusion-based image-to-image generative model
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  - **Language(s):** Japanese
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+ - **Blog:** https://sakana.ai/evo-ukiyoe
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  ## License
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  The Python script included in this repository is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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+ Please note that the license for the model/pipeline generated by this script is inherited from the source models.
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+ The sample images used in the code has CC BY SA 4.0 license and is belonged to the Pre-Modern Japanese Text dataset, owned by National Institute of Japanese Literature and curated by ROIS-DS Center for Open Data in the Humanities.
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  ## Uses
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  This model is provided for research and development purposes only and should be considered as an experimental prototype.
 
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  ## Acknowledgement
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+ Evo-Nishikie was trained based on Evo-Ukiyoe and Evo-Ukiyoe was trained based on Evo-SDXL-JP. We would like to thank the developers of Evo-SDXL-JP source models for their contributions and for making their work available.
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  - [SDXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
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  - [Juggernaut-XL-v9](https://huggingface.co/RunDiffusion/Juggernaut-XL-v9)
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  - [SDXL-DPO](https://huggingface.co/mhdang/dpo-sdxl-text2image-v1)
 
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  url = {[https://huggingface.co/SakanaAI/Evo-Nishikie-v1](https://huggingface.co/SakanaAI/Evo-Nishikie-v1)},
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  title = {Evo-Nishikie},
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  author = {Clanuwat, Tarin and Shing, Makoto and Imajuku, Yuki and Kitamoto, Asanobu and Akama, Ryo}
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+ }