Instructions to use TejasNavada/tattoo-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TejasNavada/tattoo-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TejasNavada/tattoo-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5cdc554ae59762efcd20e48ef082924a9c98615f6f5c26472a241d082e0a1b71
- Size of remote file:
- 1.73 GB
- SHA256:
- 44fb99b15913b8e0e3b8fdf5d5fe6efeb2ba75fc257827230d0d7a306eb8be73
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