Instructions to use Runware/acestep-v15-base-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/acestep-v15-base-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/acestep-v15-base-diffusers", 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:
- 7e8e25ad3a83ee3d1b596b38b029e5611e52ef7e5e62ba0fee5893fb0e8cd681
- Size of remote file:
- 1.22 GB
- SHA256:
- ac9cf5e23bfeb2de0d0876ab5b836f5d05b4c8bd22455cc548bd2a4f56b49fab
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