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:
- e99d924eb3b9ccc734fb427900a10b4fb2a545b60309b6b06037c9388fd253af
- Size of remote file:
- 335 MB
- SHA256:
- 46b9c1e16630ea56dfb61b7b4c60a0d76663b470aeb54b45e994e3fd3927236f
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