Instructions to use Runware/acestep-v15-sft-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/acestep-v15-sft-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-sft-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:
- bf30c752c2a527eea240414e60f5cb94109c4f690f98aea96e726bf519bcf885
- Size of remote file:
- 210 MB
- SHA256:
- f8f46814109ba8bb451fef2122cb7ff58093856a9f2e5464e32f06b71404973b
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