Text-to-Image
Diffusers
TensorBoard
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
food
Instructions to use morgan/torta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use morgan/torta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("morgan/torta", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a field of tortas" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
trained 'Ae68tVcVmwwQ sandwich' using LastBen fast dreambooth, 600 steps, 6e-6, text encoder 250 wandb:https://wandb.ai/morgan/hf-dreambooth/runs/2vdupp27
9a09cbf -
trained 'Ae68tVcVmwwQ sandwich' using LastBen fast dreambooth, 400 steps, 6e-6, text encoder 150 wandb:https://wandb.ai/morgan/hf-dreambooth/runs/178f31ib
0606241 -
trained 'Ae68tVcVmwwQ sandwich' using LastBen fast dreambooth, 600 steps, 2e-6, text encoder 250 wandb:https://wandb.ai/morgan/hf-dreambooth/runs/1qd7oy4k
0d9e73c -
trained 'Ae68tVcVmwwQ sandwich' using LastBen fast dreambooth, 400 steps, 2e-6, text encoder wandb:https://wandb.ai/morgan/hf-dreambooth/runs/19vva9q7
94c4d5b -
trained 'Ae68tVcVmwwQ sandwich' using LastBen fast dreambooth, 400 steps, 2e-6, wandb:https://wandb.ai/morgan/hf-dreambooth/runs/sj3z2206
844a086 -
trained 'Ae68tVcVmwwQ sandwich' using LastBen fast dreambooth, 400 steps, wandb:https://wandb.ai/morgan/hf-dreambooth/runs/s78vlgnc
b5878b0