Instructions to use stablediffusionapi/honey-2d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/honey-2d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/honey-2d", 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:
- 882fcbc128d2796d957109e598367551593329b0505dd1aa3c8f18b41454411e
- Size of remote file:
- 246 MB
- SHA256:
- b88e853a3ea65f0396edbc3abab64397fa2297c8323e1f0b213248d717b72868
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