Instructions to use Runware/acestep-v15-xl-turbo-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/acestep-v15-xl-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-xl-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:
- 515ea6325c7f0723b7c1344a3fd2f2abd6630970b2d54bf56aee18e43da5f6f9
- Size of remote file:
- 11.4 MB
- SHA256:
- 93623af029cdc69b87f2864d3b2cc2424fdf16684f15e139b5b9d08ec34ced91
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