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:
- 2a75cc1b2dd2d82a0c63241b9ffae41ceac988bccb948eb20541d51fa0519fac
- Size of remote file:
- 5.14 GB
- SHA256:
- 91a9ae0ac8b00b81c6f3b3d11ee12403ffdf1cb9f13b1960ef08eb328c4dacef
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