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--- |
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license: openrail++ |
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language: |
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- en |
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tags: |
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- stable-diffusion |
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- text-to-image |
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- diffusers |
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thumbnail: "https://huggingface.co/nitrosocke/Future-Diffusion/resolve/main/images/future-diffusion-thumbnail-2.jpg" |
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inference: false |
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--- |
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### Holiday Stop Motion |
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This is the fine-tuned Stable Diffusion 1.5 model trained on classic Christmas stop motion tv specials by Rankin and Bass. |
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Use the tokens |
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`rbsm style` |
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in your prompts for the effect. |
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Trained on Stability.ai's 1.5 model ith 768x768 resolution. |
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**Characters rendered with the model:** |
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![Characters Samples](https://huggingface.co/nitrosocke/Future-Diffusion/resolve/main/images/future-diffusion-samples01s.png) |
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**Cars and Animals rendered with the model:** |
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![Misc. Samples](https://huggingface.co/nitrosocke/Future-Diffusion/resolve/main/images/future-diffusion-samples02s.png) |
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**Landscapes rendered with the model:** |
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![Landscape 1](https://huggingface.co/nitrosocke/Future-Diffusion/resolve/main/images/future-diffusion-samples03s.png) |
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#### Prompt and settings for the Characters: |
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**future style [subject] Negative Prompt: duplicate heads bad anatomy** |
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_Steps: 20, Sampler: Euler a, CFG scale: 7, Size: 512x704_ |
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#### Prompt and settings for the Landscapes: |
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**future style city market street level at night Negative Prompt: blurry fog soft** |
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_Steps: 20, Sampler: Euler a, CFG scale: 7, Size: 1024x576_ |
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This model was trained using fast-DreamBooth colab by TheLastBen with text_trainer_encoder for 10 and 8000 steps. |
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## License |
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This model is open access and available to all, with a CreativeML Open RAIL++-M License further specifying rights and usage. |
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[Please read the full license here](https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL) |