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]

Downloads last month
6
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for sayakpaul/omnisana-lr_1e-4-wd_0.0001-cd_0.0-scheduler_constant

Unable to build the model tree, the base model loops to the model itself. Learn more.