---
base_model: stabilityai/stable-diffusion-xl-base-1.0
library_name: diffusers
license: openrail++
inference: true
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- controlnet
- pbr
- material-generation
- diffusers-training
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->


# controlnet-HenghuiB/test_output

These are ControlNet weights trained on `stabilityai/stable-diffusion-xl-base-1.0` for PBR material generation from height maps.
The model generates a 4-channel output, corresponding to a 3-channel BaseColor map and a 1-channel Roughness map.
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).

**Prompt:** `a photorealistic, highly detailed photograph of a lunar surface material`
![a photorealistic, highly detailed photograph of a lunar surface material](images_0.png)




## Intended uses & limitations

#### How to use

```python
# TODO: add an example code snippet for running this diffusion pipeline
```

#### Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

## Training details

[TODO: describe the data used to train the model]