Instructions to use GraydientPlatformAPI/honeyselect2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/honeyselect2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/honeyselect2", 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:
- 9c46e4e99d25330a8edab83d3998be594f51082d9e4c96245cf8b4981da20704
- Size of remote file:
- 167 MB
- SHA256:
- 3c240a1fca8ad4218f3866c31219f8436f948af2de5f3475293dcc74dfeb17ad
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