rubio21/bricks-picvisa-lora

1---2license: creativeml-openrail-m3library_name: diffusers4tags:5- stable-diffusion6- stable-diffusion-diffusers7- text-to-image8- diffusers9- diffusers-training10- lora11base_model: runwayml/stable-diffusion-v1-512inference: true13---14 15<!-- This model card has been generated automatically according to the information the training script had access to. You16should probably proofread and complete it, then remove this comment. -->17 18 19# LoRA text2image fine-tuning - rubio21/bricks-picvisa-lora20These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the /datatmp2/picvisa_2023/pruebas_alberto/datasets/dataset_lora_bricks dataset. You can find some example images in the following. 21 22![img_0](./image_0.png)23![img_1](./image_1.png)24![img_2](./image_2.png)25![img_3](./image_3.png)26 27 28 29## Intended uses & limitations30 31#### How to use32 33```python34# TODO: add an example code snippet for running this diffusion pipeline35```36 37#### Limitations and bias38 39[TODO: provide examples of latent issues and potential remediations]40 41## Training details42 43[TODO: describe the data used to train the model]