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:
- 806973793c4be0f49a54c5d80a8cbb3861816991595fbb4afd5f962e6652da69
- Size of remote file:
- 3.15 GB
- SHA256:
- 64ce33f32c1f98fb15a683f89a464527bbc181cdb0245b35ff0742e417668eeb
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