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base_model: Efficient-Large-Model/Sana_1600M_1024px_diffusers
library_name: diffusers
license: other
instance_prompt: a puppy, yarn art style
widget:
- text: a puppy in a pond, yarn art style
output:
url: image_0.png
- text: a puppy in a pond, yarn art style
output:
url: image_1.png
- text: a puppy in a pond, yarn art style
output:
url: image_2.png
- text: a puppy in a pond, yarn art style
output:
url: image_3.png
tags:
- text-to-image
- diffusers-training
- diffusers
- falqon
- sana
- sana-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. -->
# Sana DreamBooth FALQON - wsl448/yarn_art_falqon_sana_block_int8_svd_lr2e-4
<Gallery />
## Model description
These are wsl448/yarn_art_falqon_sana_block_int8_svd_lr2e-4 DreamBooth FALQON weights for Efficient-Large-Model/Sana_1600M_1024px_diffusers.
The weights were trained using [DreamBooth](https://dreambooth.github.io/) with FALQON
(FP8-Accelerated LoRA with Quantization) for efficient fine-tuning.
## Trigger words
You should use `a puppy, yarn art style` to trigger the image generation.
## License
Please check the base model license.
## 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] |