Instructions to use misri/obsessionIllustrious_vPredV20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/obsessionIllustrious_vPredV20 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/obsessionIllustrious_vPredV20", 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:
- 936560acba61e75d663e421f0965a675bc34e1b0004b808d57745ce96b5991e9
- Size of remote file:
- 10.3 GB
- SHA256:
- 96294a4d61b5f719253afaaae4d656557e3aab8b2de8cf8098517ecb457af891
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