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README.md
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---
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---
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language:
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- en
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thumbnail: "https://huggingface.co/nousr/robo-diffusion/resolve/main/robo_example.png"
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tags:
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- robots
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- stable-diffusion
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- aiart
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- text-to-image
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license: "openrail++"
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---
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# Robo-Diffusion 2 (base) - *Alpha Release*
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A dreambooth-method finetune of stable diffusion that will output cool looking robots when prompted.
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<img src="https://huggingface.co/nousr/robo-diffusion-2-base/resolve/main/example_grid.png"/>
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# Usage
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Keep the words `nousr robot` towards the beginning of your prompt to invoke the finetuned style. Use negative prompts to achieve the best result.
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```python
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import torch
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from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
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scheduler = EulerDiscreteScheduler.from_pretrained(MODEL_ID, subfolder="scheduler")
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pipe = StableDiffusionPipeline.from_pretrained("nousr/robo-diffusion-2-base", scheduler=scheduler, torch_dtype=torch.float16, revision="fp16")
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pipe = pipe.to("cuda")
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prompt = "A realistic photograph of a 3d nousr robot in a modern city. A glossy white and orange nousr robot."
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negative_prompt = "black and white robot, picture frame, a children's drawing in crayon. #Wholesale, Abstract Metal Sculpture. i'm leaving a bad review."
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image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=32, guidance_scale=5.0).images[0]
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image.save("robo.png")
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```
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# Original Model
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Based on stable diffusion 1.4 can be found [here](https://huggingface.co/nousr/robo-diffusion)
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---
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*NOTE: ensure you have read the license and agree to the terms
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