README.md

---
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
- diffusers-training
- 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-Nawatix/out_multihmr_tmp

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
You can find some example images below.

prompt: acrobatics, two people in gymnastics outfits performing on the floor
![images_0)](./images_0.png)
prompt: cosplay, a woman in a blue top and blue skirt holding a stick
![images_1)](./images_1.png)
prompt: dance, a couple dancing in a ballroom on a stage
![images_2)](./images_2.png)
prompt: drama, the cast of the show 'the great gatsby'
![images_3)](./images_3.png)
prompt: movie, a man in a red and white costume smiling
![images_4)](./images_4.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]