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@@ -21,19 +21,22 @@ library_name: diffusers
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  ---
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  <style>
 
 
 
 
 
 
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  .title {
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- font-size: 2.5em;
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  text-align: center;
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  color: #333;
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  font-family: Arial, sans-serif;
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  text-transform: uppercase;
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  letter-spacing: 0.05em;
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  padding: 0.5em 0;
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- background: transparent;
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  box-shadow: 0px 0px 20px 0px rgba(0,0,0,0.15);
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- margin-bottom: 2em;
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- display: inline-block;
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- width: auto;
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  }
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  .title span {
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  background: -webkit-linear-gradient(45deg, #fe6b8b 30%, #ff8e53 90%);
@@ -117,6 +120,8 @@ library_name: diffusers
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  </div>
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  </div>
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  ## Overview
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  Hermitage XL is a high-resolution, latent text-to-image diffusion model. The model has been fine-tuned using a learning rate of 4e-7 over 5000 steps with a batch size of 16 on a curated dataset of superior-quality anime-style images. This model is derived from Stable Diffusion XL 1.0.
@@ -127,12 +132,16 @@ e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, c
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  - Use it with 🧨 [`diffusers`](https://huggingface.co/docs/diffusers/index)
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  - Use it with the [`ComfyUI`](https://github.com/comfyanonymous/ComfyUI)
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  ## Features
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  1. High-Resolution Images: The model trained with 1024x1024 resolution. The model is trained using [NovelAI Aspect Ratio Bucketing Tool](https://github.com/NovelAI/novelai-aspect-ratio-bucketing) so that it can be trained at non-square resolutions.
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  2. Anime-styled Generation: Based on given text prompts, the model can create high quality anime-styled images.
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  3. Fine-Tuned Diffusion Process: The model utilizes a fine-tuned diffusion process to ensure high quality and unique image output.
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  ## Model Details
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  - **Developed by:** [Linaqruf](https://github.com/Linaqruf)
@@ -140,6 +149,7 @@ e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, c
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  - **Model Description:** This is a model that can be used to generate and modify anime-themed images based on text prompts.
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  - **License:** [CreativeML Open RAIL++-M License](https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL)
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  - **Finetuned from model:** [Stable Diffusion XL 1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
 
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  ## How to Use:
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  - Download `Hermitage XL` [here](https://huggingface.co/Linaqruf/hermitage-xl/resolve/main/hermitage-xl.safetensors), the model is in `.safetensors` format.
@@ -152,6 +162,7 @@ lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer
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  ```
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  masterpiece, best quality, illustration, beautiful detailed, finely detailed, dramatic light, intricate details
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  ```
 
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  ## 🧨 Diffusers
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@@ -202,12 +213,15 @@ image = pipe(
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  image.save("anime_girl.png")
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  ```
 
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  ## Limitation
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  1. This model inherit Stable Diffusion XL 1.0 [limitation](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0#limitations)
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  2. This model is overfitted and cannot follow prompts well, because it's fine-tuned for 5000 steps with small scale datasets.
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  3. It's only a preview model to find good hyperparameter and training config for Stable Diffusion XL 1.0
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  ## Example
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  Here is some cherrypicked samples and comparison between available models:
@@ -232,4 +246,3 @@ Here is some cherrypicked samples and comparison between available models:
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  </td>
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  </tr>
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  </table>
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- <hr>
 
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  ---
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  <style>
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+ .title-container {
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+ display: flex;
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+ justify-content: center;
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+ align-items: center;
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+ height: 100vh; /* Adjust this value to position the title vertically */
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+ }
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  .title {
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+ font-size: 3em;
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  text-align: center;
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  color: #333;
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  font-family: Arial, sans-serif;
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  text-transform: uppercase;
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  letter-spacing: 0.05em;
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  padding: 0.5em 0;
 
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  box-shadow: 0px 0px 20px 0px rgba(0,0,0,0.15);
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+ background: transparent;
 
 
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  }
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  .title span {
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  background: -webkit-linear-gradient(45deg, #fe6b8b 30%, #ff8e53 90%);
 
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  </div>
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  </div>
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+ <hr>
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+
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  ## Overview
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  Hermitage XL is a high-resolution, latent text-to-image diffusion model. The model has been fine-tuned using a learning rate of 4e-7 over 5000 steps with a batch size of 16 on a curated dataset of superior-quality anime-style images. This model is derived from Stable Diffusion XL 1.0.
 
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  - Use it with 🧨 [`diffusers`](https://huggingface.co/docs/diffusers/index)
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  - Use it with the [`ComfyUI`](https://github.com/comfyanonymous/ComfyUI)
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+ <hr>
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+
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  ## Features
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  1. High-Resolution Images: The model trained with 1024x1024 resolution. The model is trained using [NovelAI Aspect Ratio Bucketing Tool](https://github.com/NovelAI/novelai-aspect-ratio-bucketing) so that it can be trained at non-square resolutions.
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  2. Anime-styled Generation: Based on given text prompts, the model can create high quality anime-styled images.
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  3. Fine-Tuned Diffusion Process: The model utilizes a fine-tuned diffusion process to ensure high quality and unique image output.
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+ <hr>
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+
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  ## Model Details
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  - **Developed by:** [Linaqruf](https://github.com/Linaqruf)
 
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  - **Model Description:** This is a model that can be used to generate and modify anime-themed images based on text prompts.
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  - **License:** [CreativeML Open RAIL++-M License](https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL)
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  - **Finetuned from model:** [Stable Diffusion XL 1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
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+ <hr>
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  ## How to Use:
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  - Download `Hermitage XL` [here](https://huggingface.co/Linaqruf/hermitage-xl/resolve/main/hermitage-xl.safetensors), the model is in `.safetensors` format.
 
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  ```
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  masterpiece, best quality, illustration, beautiful detailed, finely detailed, dramatic light, intricate details
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  ```
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+ <hr>
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  ## 🧨 Diffusers
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  image.save("anime_girl.png")
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  ```
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+ <hr>
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  ## Limitation
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  1. This model inherit Stable Diffusion XL 1.0 [limitation](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0#limitations)
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  2. This model is overfitted and cannot follow prompts well, because it's fine-tuned for 5000 steps with small scale datasets.
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  3. It's only a preview model to find good hyperparameter and training config for Stable Diffusion XL 1.0
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+ <hr>
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+
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  ## Example
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  Here is some cherrypicked samples and comparison between available models:
 
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  </td>
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  </tr>
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  </table>