base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
library_name: diffusers | |
license: creativeml-openrail-m | |
tags: | |
- stable-diffusion-xl | |
- stable-diffusion-xl-diffusers | |
- text-to-image | |
- diffusers-training | |
- diffusers | |
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. --> | |
# Text-to-image finetuning - GiantAnalytics/sdxl_fine_tuned_model_aditya_2 | |
This pipeline was finetuned from **stabilityai/stable-diffusion-xl-base-1.0** on the **/content/drive/MyDrive/combine_images/** dataset. Below are some example images generated with the finetuned pipeline using the following prompt: an abstract pattern composed of organic, brushstroke-like shapes in various shades of blue, brown, and white. The shapes are arranged in a loose, overlapping pattern, creating a sense of movement and energy: | |
![img_0](./image_0.png) | |
![img_1](./image_1.png) | |
![img_2](./image_2.png) | |
![img_3](./image_3.png) | |
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. | |
## 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] |