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:
- 098ddb0f1c2e76ec710c230c045745c90a55c671478146da4a3a6db6db9fef2c
- Size of remote file:
- 2.13 GB
- SHA256:
- d841cad770af3f46766c96486c87265d8a4d6dd40679da556b44c72d3f1c60a1
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