---
base_model: CompVis/stable-diffusion-v1-4
library_name: diffusers
license: creativeml-openrail-m
inference: true
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- diffusers-training
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- diffusers-training
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
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# GameNgen fine-tuning - arnaudstiegler/gameNgen-baseline-45ksteps
Full finetune of CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the P-H-B-D-a16z/ViZDoom-Deathmatch-PPO-Lrg dataset. You can find some example images in the following. 


![image/png](https://cdn-uploads.huggingface.co/production/uploads/600997fb731233b499672cbd/zuhPlOldRGHD3AP4GgWtt.png)

![image/gif](https://cdn-uploads.huggingface.co/production/uploads/600997fb731233b499672cbd/O1xUIwphLNRjiP8FOFFAW.gif)


## 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

45k steps on P-H-B-D-a16z/ViZDoom-Deathmatch-PPO-XLrg

![image/png](https://cdn-uploads.huggingface.co/production/uploads/600997fb731233b499672cbd/xce9ha5QcN5B5nCEhjioc.png)