Instructions to use GraydientPlatformAPI/araminta-fv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/araminta-fv1 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/araminta-fv1", 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:
- c8ce56b699763d46c304a50a0dee8fb357fba0efa68a345a650440eee9f165db
- Size of remote file:
- 1.39 GB
- SHA256:
- f92ca87ad5440557ef0e6d9e8d3e31dc8b19fe606851c6da752dc2fc9bb7fe8a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.