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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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inference: true |
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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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- pbr |
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- material-generation |
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- diffusers-training |
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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-HenghuiB/test_output |
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These are ControlNet weights trained on `stabilityai/stable-diffusion-xl-base-1.0` for PBR material generation from height maps. |
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The model generates a 4-channel output, corresponding to a 3-channel BaseColor map and a 1-channel Roughness map. |
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You can find some example images below. For each prompt, the grid shows the input height map, followed by the generated BaseColor map(s) and then the generated Roughness map(s). |
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**Prompt:** `a photorealistic, highly detailed photograph of a lunar surface material` |
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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] |
