Instructions to use MLXCreator/MLXCreator-ACEStep-1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLXCreator/MLXCreator-ACEStep-1.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MLXCreator/MLXCreator-ACEStep-1.5", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - MLX
How to use MLXCreator/MLXCreator-ACEStep-1.5 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MLXCreator-ACEStep-1.5 MLXCreator/MLXCreator-ACEStep-1.5
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 5745807894d41c548a1cbcfbd86af9d12c9bac936f1cb0f61fcfcdfa23371e99
- Size of remote file:
- 3.84 MB
- SHA256:
- 9db4567c16ea0f603d0cd03ce8a4a89d22de914adeeefad0f3cf99a01083ef8f
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