|
--- |
|
license: creativeml-openrail-m |
|
library_name: diffusers |
|
tags: |
|
- text-to-image |
|
- dreambooth |
|
- diffusers-training |
|
- stable-diffusion |
|
- stable-diffusion-diffusers |
|
- text-to-image |
|
- dreambooth |
|
- diffusers-training |
|
- stable-diffusion |
|
- stable-diffusion-diffusers |
|
inference: true |
|
base_model: stabilityai/stable-diffusion-2-1-base |
|
instance_prompt: a photo of sks object |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
|
|
# DreamBooth - yuffish/plush-segmented |
|
|
|
This is a dreambooth model derived from stabilityai/stable-diffusion-2-1-base. The weights were trained on a photo of sks object using [DreamBooth](https://dreambooth.github.io/). |
|
You can find some example images in the following. |
|
|
|
|
|
|
|
DreamBooth for the text encoder was enabled: False. |
|
|
|
|
|
## 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] |
