|
|
--- |
|
|
base_model: SG161222/Realistic_Vision_V4.0_noVAE |
|
|
library_name: diffusers |
|
|
license: creativeml-openrail-m |
|
|
inference: true |
|
|
tags: |
|
|
- stable-diffusion |
|
|
- stable-diffusion-diffusers |
|
|
- text-to-image |
|
|
- diffusers |
|
|
- controlnet |
|
|
- control-lora-v3 |
|
|
- diffusers-training |
|
|
--- |
|
|
|
|
|
<!-- 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. --> |
|
|
|
|
|
|
|
|
# sd-control-lora-v3-urllamadrama/test_final_final |
|
|
|
|
|
These are control-lora-v3 weights trained on SG161222/Realistic_Vision_V4.0_noVAE with new type of conditioning. |
|
|
|
|
|
|
|
|
|
|
|
## 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] |
