Instructions to use AEmotionStudio/acestep-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AEmotionStudio/acestep-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AEmotionStudio/acestep-models", 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
File size: 667 Bytes
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"dither": 0.0,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"image_mean": [
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"image_processor_type": "Qwen2VLImageProcessor",
"image_std": [
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"max_pixels": 12845056,
"merge_size": 2,
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"n_samples": 4800000,
"nb_max_frames": 30000,
"padding_side": "right",
"padding_value": 0.0,
"patch_size": 14,
"processor_class": "Qwen2_5OmniProcessor",
"return_attention_mask": true,
"sampling_rate": 16000,
"temporal_patch_size": 2
}
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