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:
- 10d1fb2ae58752356a97988aa514d17e6352c7ea3fbc5213e34369136479b817
- Size of remote file:
- 1.74 GB
- SHA256:
- a0c53987b632e6187d8ac9297b050f084fdd8c6d526caa498e675f1a28040ece
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