Instructions to use Runware/acestep-v15-xl-base-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/acestep-v15-xl-base-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-base-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:
- be11a8b6871df14f0cd0751b060d6ffc1df749f51d8246114bfa86b74837c8e8
- Size of remote file:
- 1.22 GB
- SHA256:
- fce7eb21fbc46733ec9047c141e88e0aaaa4dfe1c5bfd8c28707435e5b83d1c2
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