README.md

---
base_model: SG161222/RealVisXL_V3.0
library_name: diffusers
license: openrail++
inference: true
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- controlnet
- 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-kwanY/EAS2

These are AlignNet weights trained on SG161222/RealVisXL_V3.0 with Pose, Expression and Sparse landmark conditions.
You can find some example images below.

prompt: photo of a human
![images_0)](./images_0.png)
prompt: A render of a head of Disney character
![images_1)](./images_1.png)
prompt: a FHD head of an Orc
![images_2)](./images_2.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]