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--- |
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base_model: stabilityai/stable-diffusion-xl-base-1.0 |
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library_name: diffusers |
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license: openrail++ |
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tags: |
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- stable-diffusion-xl |
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- stable-diffusion-xl-diffusers |
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- text-to-image |
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- diffusers |
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- controlnet |
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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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# controlnet-shreyasvivek-kulkarni/controlnet_model_01 |
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These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. |
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You can find some example images below. |
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prompt: |
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![images_0)](./images_0.png) |
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prompt: young girl smiling |
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![images_1)](./images_1.png) |
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prompt: |
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![images_2)](./images_2.png) |
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prompt: smiling child with blue jacket and blue tie on smiling at camera |
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![images_3)](./images_3.png) |
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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] |