metadata
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
Sana DreamBooth FALQON - wsl448/yarn_art_falqon_sana_block_int8_svd_lr2e-4
- Prompt
- a puppy in a pond, yarn art style
- Prompt
- a puppy in a pond, yarn art style
- Prompt
- a puppy in a pond, yarn art style
- Prompt
- a puppy in a pond, yarn art style
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 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
# 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]