selenall/diffusers_retrained

1---2base_model: stable-diffusion-v1-5/stable-diffusion-v1-53library_name: diffusers4license: creativeml-openrail-m5inference: true6instance_prompt: a painting in sks style7tags:8- text-to-image9- diffusers10- lora11- diffusers-training12- stable-diffusion13- stable-diffusion-diffusers14---15 16<!-- This model card has been generated automatically according to the information the training script had access to. You17should probably proofread and complete it, then remove this comment. -->18 19 20# LoRA DreamBooth - selenall/sd1521 22These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on a painting in sks style using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 23 24![img_0](./image_0.png)25![img_1](./image_1.png)26![img_2](./image_2.png)27![img_3](./image_3.png)28 29 30LoRA for the text encoder was enabled: True.31 32 33## Intended uses & limitations34 35#### How to use36 37```python38# TODO: add an example code snippet for running this diffusion pipeline39```40 41#### Limitations and bias42 43[TODO: provide examples of latent issues and potential remediations]44 45## Training details46 47[TODO: describe the data used to train the model]