Instructions to use GraydientPlatformAPI/fasercore-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/fasercore-fp16 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/fasercore-fp16", 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:
- f86feb65a64e3a6ec3eff8c1eff4f90f3b4b08ddb3c1b825fc5714ccfaec759e
- Size of remote file:
- 1.39 GB
- SHA256:
- 922e04181bedd83ec427fedadabc0ed3e561622c000ad5c2012b852d98235ed9
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