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

<!-- 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. -->


# LoRA text2image fine-tuning - arnaudstiegler/sd-model-gameNgen
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the arnaudstiegler/gameNgen_test_dataset dataset. You can find some example images in the following. 




## 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

Command:
```
python train_text_to_image.py     --dataset_name P-H-B-D-a16z/ViZDoom-Deathmatch-PPO-Lrg     --gradient_checkpointing     --learning_rate 5e-5     --train_batch_size 8     --num_train_epochs 10     --validation_steps 250     --output_dir sd-model-finetune     --push_to_hub     --report_to wandb
```