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:
- 9b0b35d4ff16bfa2a40ede3c728072d7d72d090275f2410ba6026292a573c326
- Size of remote file:
- 2.13 GB
- SHA256:
- 62bb78983aaa61426b1eb79060bca5c663b94ea02657c43c21f32d58df396692
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