Instructions to use timlenardo/rv-thmx-dreambooth-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timlenardo/rv-thmx-dreambooth-01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("timlenardo/rv-thmx-dreambooth-01", dtype=torch.bfloat16, device_map="cuda") prompt = "THMX" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9f76d1b2f954f3d62cffd9390bfeb8c4559a007a47e2d1fc2970b9c1eea32c35
- Size of remote file:
- 492 MB
- SHA256:
- 13087416d52ce1a4de79aef9a52da36103a220a5ebb4fddaa625e5ea9edcf25d
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