Instructions to use GraydientPlatformAPI/bigLust_v16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bigLust_v16 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/bigLust_v16", 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:
- fafe92917bcbd83b0649d3439693fa41d46e341f8b1b72260cae71b02cb0da55
- Size of remote file:
- 246 MB
- SHA256:
- 945238b56b4cef8c5311701d30ad66818277b607ad791278fdba0a7ef6fec5e6
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