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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bef14d115c927352e5fd46db30e779c1ca9f684e9572ac13f134ee3177eda9a2
- Size of remote file:
- 1.39 GB
- SHA256:
- e5a4d77152c0b5b62bf6a4e1415fbd0b54df7991f78b2f7fd9786a5fc15460de
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