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:
- 0e5793fc79a50f4678f9c72535ca3dc6123c15f41bcab528be15e709780bb8e5
- Size of remote file:
- 210 MB
- SHA256:
- 57f4bb761e6305efe4c28e9e7e7e0e353fffc5dec28af28a6a7d5429396c8edf
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