Hugging Face's logo

rcannizzaro
/
image_to_one_hot_causal_factor_vae_dsprites

Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Model card Files Community
Edit model card

Text-to-image finetuning - rcannizzaro/image_to_one_hot_causal_factor_vae_dsprites

This Image to One-Hot Causal Factor Encoder/Decoder VAE Network was trained on the osazuwa/dsprite-counterfactual dataset. Below are some example images generated with the finetuned pipeline using the following prompts:

Training info

These are the key hyperparameters used during training:

  • Epochs: 7
  • Learning rate: 0.0001
  • Batch size: 100
  • Gradient accumulation steps: 1
  • Image resolution: 64
  • Mixed-precision: fp16

More information on all the CLI arguments and the environment are available on your wandb run page.

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
38
Inference Examples
Text-to-Image
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.