Text-to-image finetuning - mobled37/vae-model-finetuned
This pipeline was finetuned from None on the vipseg dataset. Below are some example images generated with the finetuned pipeline using the following prompts: Nothing:
Training info
These are the key hyperparameters used during training:
- Epochs: 1000
- Learning rate: 1.92e-05
- Batch size: 64
- Gradient accumulation steps: 2
- Image resolution: 30
- Mixed-precision: fp16
More information on all the CLI arguments and the environment are available on your wandb
run page.
- Downloads last month
- 36
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.