Instructions to use TTS-AGI/ACE-Step-1.5-Backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TTS-AGI/ACE-Step-1.5-Backup with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TTS-AGI/ACE-Step-1.5-Backup", 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
Download code/assets/orgnization_logos.png from TTS-AGI/ACE-Step-1.5-Backup: direct link, hf CLI and curl.
- Browser
- Download file 309 kB
-
https://huggingface.co/TTS-AGI/ACE-Step-1.5-Backup/resolve/main/code/assets/orgnization_logos.png
- Command line
-
hf download hf://TTS-AGI/ACE-Step-1.5-Backup/code/assets/orgnization_logos.png
-
curl -L -o orgnization_logos.png https://huggingface.co/TTS-AGI/ACE-Step-1.5-Backup/resolve/main/code/assets/orgnization_logos.png
309 kB

- Xet hash:
- 3aca59ee7303659332611a716c27ada889d20ac4dccb877da73e544627631b19
- Size of remote file:
- 309 kB
- SHA256:
- 67963c873a2ce7991767c970e49daa4739a0e0aa906ca7691a81229cc4e4901d
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