Instructions to use GraydientPlatformAPI/noisy-element25-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/noisy-element25-xl 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/noisy-element25-xl", 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:
- 13a9632ea5c02d48d64492365c16af9c127f1ba332b2a294be0d6642e9a8e033
- Size of remote file:
- 246 MB
- SHA256:
- 264745881a4ffb2ff16b099729d57d8ab0d4e330cadf787f53f789d85cfab304
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