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README.md
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license: creativeml-openrail-m
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---
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---
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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- text-to-image
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---
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### Redshift Diffusion
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This is the fine-tuned Stable Diffusion model trained on high resolution 3D artworks.
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Use the tokens **_redshift style_** in your prompts for the effect.
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**If you enjoy my work, please consider supporting me**
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[](https://patreon.com/user?u=79196446)
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**Characters rendered with the model:**
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**Cars and Landscapes rendered with the model:**
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### 🧨 Diffusers
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This model can be used just like any other Stable Diffusion model. For more information,
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please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
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You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
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```python
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from diffusers import StableDiffusionPipeline
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import torch
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model_id = "nitrosocke/classic-anim-diffusion"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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prompt = "classic disney style magical princess with golden hair"
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image = pipe(prompt).images[0]
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image.save("./magical_princess.png")
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```
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#### Prompt and settings for Helen Mirren:
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**classic disney style helen mirren as a queen**
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_Steps: 30, Sampler: Euler a, CFG scale: 7, Seed: 3496225274, Size: 512x704_
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#### Prompt and settings for the Ford Model T:
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**classic disney style Ford Model T - Negative prompt: person**
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_Steps: 20, Sampler: DPM2 Karras, CFG scale: 7, Seed: 4817981, Size: 704x512_
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This model was trained using the diffusers based dreambooth training by ShivamShrirao using prior-preservation loss and the _train-text-encoder_ flag in 9.000 steps.
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## License
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
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The CreativeML OpenRAIL License specifies:
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1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
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2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
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3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
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[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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