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
- Xet hash:
- 5c833b3052c03b506b3adb084fb6c34f038fab82dc393fc9d87ed00d2d523f52
- Size of remote file:
- 3.44 GB
- SHA256:
- db74c7d1da279c67fb151f208474081cd4c3fe3b4fa0f5b8308438800c8b068d
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