Instructions to use aphexblake/7676-yo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aphexblake/7676-yo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aphexblake/7676-yo", 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:
- 75b9150ea2f92ddbfa8f5b5a8c1afeda48a299c3ce5e478fd7f9974f07fa60d2
- Size of remote file:
- 335 MB
- SHA256:
- 37d127c71426902d41431070e74921a6c8e3917e9cff7c4da72eeb5a64ce1893
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.