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
- Draw Things
- DiffusionBee
Commit ·
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Parent(s): 56dee55
End of training
Browse files
logs/train_example/events.out.tfevents.1692077342.53481a5e31cf.21208.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5050bb0eca99e0a69a1cac11073591c5dde8b1acba45c576f273f5f1b392358
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size 88
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