Instructions to use vkmax/alphas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vkmax/alphas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vkmax/alphas", 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:
- 6957530ff58b781b01dc3a826fabf7736ec655445d84c552669deadf80477893
- Size of remote file:
- 246 MB
- SHA256:
- 3df9437cb1422d4304c15899946427ddb9fcc779809cc6bd735b2f4cbc9ddcff
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