Instructions to use thisisAce/runpod_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thisisAce/runpod_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("thisisAce/runpod_models", 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
- Xet hash:
- a2c3c96ba5839ee787cfa06362c8501ea67f9f0455606e66f7fef07acf7e8c43
- Size of remote file:
- 694 MB
- SHA256:
- 3b3ca2563c77c69f651d7bd133e97139c186df06231157a64c507099c52bc799
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