Instructions to use LyubomirIvanov/Model8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyubomirIvanov/Model8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyubomirIvanov/Model8", 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
- Xet hash:
- 320e3338b60aaa577b0ef72162aa951dae548850dd239cfe2ae32dad3e7ab56f
- Size of remote file:
- 3.46 GB
- SHA256:
- 1e22e969c503e87e8c633f7eb919d26002b2b4c64afb582b3cad13f386e0c363
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