Instructions to use GraydientPlatformAPI/amireal42-proper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/amireal42-proper 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/amireal42-proper", 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:
- 1226b0b8cc6965e3fa13863deaea4d4c242751d7cd4598fc18b766d0d861d0a0
- Size of remote file:
- 246 MB
- SHA256:
- c07f7f90bec0017ce80ac2df06033ae70951889c7a84d1addd2d8f14022f59ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.