Instructions to use GraydientPlatformAPI/rms65 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/rms65 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/rms65", 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:
- 31dac300ec2874d4acbf6ee75368ccd4e505317891cda91c2be684654f1edec2
- Size of remote file:
- 5.14 GB
- SHA256:
- 650bdba7d117aad948b2ac493c0418245a72fba89ec9bd97d908fcc168c2964e
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