Instructions to use martka/ti_offset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use martka/ti_offset with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("martka/ti_offset", 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:
- 555e451f5cf05f5a4d454e8aba368ab3a6fe19f4f50e852997287b89e3f7eb06
- Size of remote file:
- 246 MB
- SHA256:
- d2f38fb9ad8c34c28f54c2b0c5e7b8846cf849abeb85fe6cbc8e61f696fdcc80
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