Instructions to use Runware/acestep-v15-turbo-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/acestep-v15-turbo-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-turbo-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:
- 2f4ff917df98b1bd4d059c202f66b87fb27be1f29e23e7c4e6b59841a0a80c55
- Size of remote file:
- 1.22 GB
- SHA256:
- 5a18ab812c53eaea4ca76633cab01884b0bf2fddf3d6cfc352cb6a567a446b25
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