README.md

---
license: creativeml-openrail-m
library_name: diffusers
tags:
- 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-v1-ablation-r16-a16-module_to_q_to_v
    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]