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--- |
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base_model: CompVis/stable-diffusion-v1-4 |
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library_name: diffusers |
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license: creativeml-openrail-m |
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tags: |
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- text-to-image |
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- diffusers |
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- stable-diffusion |
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- stable-diffusion-diffusers |
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- custom-diffusion |
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- diffusers-training |
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- text-to-image |
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- diffusers |
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- stable-diffusion |
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- stable-diffusion-diffusers |
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- custom-diffusion |
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- diffusers-training |
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inference: true |
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--- |
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<!-- This model card has been generated automatically according to the information the training script had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Custom Diffusion - stranzersweb/model |
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These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on None using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following. |
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For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion). |
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## Intended uses & limitations |
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#### How to use |
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```python |
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# TODO: add an example code snippet for running this diffusion pipeline |
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``` |
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#### Limitations and bias |
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[TODO: provide examples of latent issues and potential remediations] |
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## Training details |
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[TODO: describe the data used to train the model] |
