---
license: creativeml-openrail-m
library_name: diffusers
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- diffusers-training
- lora
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- diffusers-training
- lora
base_model: runwayml/stable-diffusion-v1-5
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 - PQlet/lora-narutoblip-debug-ablation-r256-a16
    These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the Naruto-BLIP dataset. You can find some example images in the following. 

    ![img_0](./image_a man with glasses and a shirt on.png)
![img_1](./image_a group of people sitting on the ground.png)
![img_2](./image_a man in a green hoodie standing in front of a mountain.png)
![img_3](./image_a man with a gun in his hand.png)
![img_4](./image_a woman with red hair and a cat on her head.png)
![img_5](./image_two pokemons sitting on top of a cloud.png)
![img_6](./image_a man standing in front of a bridge.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]