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vae-dsprites-counterfactual
rcannizzaro/vae-dsprites-counterfactual
vae-dsprites-counterfactual is a text-to-image model from rcannizzaro. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Access
- Public
- Created
- Jul 10, 2024
- Updated
- Jul 13, 2024
- SHA
- 43f0322c
Model card
From the Hugging Face model README
<!-- 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. -->
Text-to-image finetuning - rcannizzaro/vae-dsprites-counterfactual
This pipeline was finetuned from None 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: 1
- Learning rate: 1e-05
- Batch size: 250
- 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]
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Created
- Jul 10, 2024
- Updated
- Jul 13, 2024