Instructions to use GraydientPlatformAPI/bespokeillmix_v10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bespokeillmix_v10 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/bespokeillmix_v10", 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:
- cf3013063f80db544aa57a5920268059fd188a03aa9ee8c32155e406e09e3b18
- Size of remote file:
- 246 MB
- SHA256:
- a28ed47d218f0c3c15a5578cec191d6741927aebbd901c874e46516e65b00226
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