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omnisana-lr_1e-4-wd_0.0001-cd_0.0-scheduler_constant

Text-to-Image
Diffusers
Safetensors
Sana
sana-diffusers
control
diffusers-training
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omnisana-lr_1e-4-wd_0.0001-cd_0.0-scheduler_constant / README.md
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metadata
base_model: Efficient-Large-Model/Sana_1600M_1024px_BF16_diffusers
library_name: diffusers
license: other
inference: true
tags:
  - sana
  - sana-diffusers
  - text-to-image
  - diffusers
  - control
  - diffusers-training

sana-edit-sayakpaul/omnisana-lr_1e-4-wd_0.0001-cd_0.0-scheduler_constant

These are Control weights trained on Efficient-Large-Model/Sana_1600M_1024px_BF16_diffusers and TIGER-Lab/OmniEdit-Filtered-1.2M. You can find some example images below.

prompt: Give this the look of a traditional Japanese woodblock print. images_0) prompt: transform the setting to a winter scene images_1) prompt: Change it to look like it's in the style of an impasto painting. images_2) prompt: turn the color of mushroom to gray images_3)

License

Please adhere to the licensing terms as described here.

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]