Instructions to use Runware/acestep-v15-xl-sft-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/acestep-v15-xl-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-xl-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:
- 74dd6573e82a3d0164061b7294dd991150b4585bc0e2dac80f1cd489205864ea
- Size of remote file:
- 1.22 GB
- SHA256:
- ca111ca95858c8d3c3678c986dda03df20778c0de009f57109c1052866d522b2
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