Instructions to use misri/oneObsession_v22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/oneObsession_v22 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("misri/oneObsession_v22", 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:
- 662de931327d852cfbc6006a714e1eb4273440114450bade2dba5c4933a4827e
- Size of remote file:
- 10.3 GB
- SHA256:
- 97acf7ad42ff7cf35c2fa4cbf4e2fda542052fa3822f03b1ab79451342bad623
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