|
--- |
|
base_model: stabilityai/stable-diffusion-xl-base-1.0 |
|
library_name: diffusers |
|
license: creativeml-openrail-m |
|
inference: true |
|
tags: |
|
- stable-diffusion-xl |
|
- stable-diffusion-xl-diffusers |
|
- text-to-image |
|
- diffusers-training |
|
- diffusers |
|
--- |
|
|
|
<!-- 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 - JuliSobi/cpcc-sdxl-1500steps-1024-lr5e-06 |
|
|
|
This pipeline was finetuned from **stabilityai/stable-diffusion-xl-base-1.0** on the **un-Loc/unloc-dataset-communist-party-central-comittee** dataset. Below are some example images generated with the finetuned pipeline using the following prompt: None: |
|
SDXL model trained on un-Loc/unloc-dataset-communist-party-central-comittee dataset (pictures of the Communist Party Central Comittee building in Warsaw). |
|
|
|
|
|
Special VAE used for training: None. |
|
|
|
|
|
## 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] |
