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license: mit |
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--- |
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# Description |
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Trainer: ChrisC |
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Rem from Re:zero |
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# How to run |
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```python |
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from diffusers import StableDiffusionPipeline |
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import torch |
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pipeline = StableDiffusionPipeline.from_single_file( |
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"https://huggingface.co/waifu-research-department/Rem/blob/main/rem_3k.ckpt", |
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).to("cuda") |
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pipeline.safety_checker = None # disable safety content, delete this line if you want a safe for work content |
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postive_prompt = "rem" |
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negative_prompt = "" |
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image = pipeline(postive_prompt,negative_prompt=negative_prompt).images[0] |
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``` |
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or you can run in [colab](https://colab.research.google.com/drive/1uRc6W1xNeSie1RoeSpBemcssbZOfBZ4k?usp=sharing) |
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# Dataset |
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>Training: 22 images |
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>Regularization: 400 images |
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# Info |
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>rem_3k_WD1-3.ckpt |
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>Model Used: Waifu Diffusion 1.3 |
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>Steps: 3000 |
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>Keyword: Rem (Use this in the prompt) |
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>Class Phrase: onetruerem |
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>rem_3k.ckpt is based on Waifu Diffusion 1.2 |
