Instructions to use emb1ter/ACE-Step-v1.5-5Hz-LM-4B-ONNX-WebGPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use emb1ter/ACE-Step-v1.5-5Hz-LM-4B-ONNX-WebGPU with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-to-audio', 'emb1ter/ACE-Step-v1.5-5Hz-LM-4B-ONNX-WebGPU');
Configuration Parsing Warning:Config file tokenizer_config.json cannot be fetched (too big)
ACE-Step 1.5 5 Hz LM 4B โ FP16 ONNX WebGPU
Experimental browser conversion of the official
ACE-Step/acestep-5Hz-lm-4B
music planner for Transformers.js and ONNX Runtime Web.
This is the ACE-Step planner, not the audio generator. It produces metadata and 5 Hz semantic audio-code IDs which must be decoded by the ACE-Step semantic detokenizer and supplied to a compatible ACE-Step DiT.
Conversion
- Exact 36-layer ACE-Step 4B fine-tuned weights, converted from BF16 to FP16
- FP16 activations and KV cache
- Five external-data chunks, each below 2 GB
- ONNX graph plus weight data: 8,389,939,364 bytes
- Browser filename:
onnx/model_fp16.onnx
A direct FP16 conversion overflows in the residual stream on the tested
runtime. This graph applies a residual scale of 1/256 to the embedding and
attention/MLP output projections, and scales residual RMSNorm epsilon by the
square of that factor. See conversion-metadata.json.
Validation status
- A native ONNX Runtime cached-generation smoke test completed 150 semantic steps with finite logits.
- That smoke run produced 142 unique codes and 149 transitions, with no identical adjacent codes.
- Against the official MLX checkpoint on one 30-second vocal prompt, first-step top-20 overlap was 60% conditional, 85% unconditional, and 50% after CFG 2.0. Centered logit correlations were 0.993942, 0.990590, and 0.990873.
This is an experimental numerical workaround, not an exact conversion. End-to-end browser audio quality must not be inferred from successful model loading or the finite-logit smoke test.
License and attribution
The source ACE-Step checkpoint is MIT licensed. The repository LICENSE
applies to this derivative conversion and ACE-Step attribution is preserved.
ONNX Runtime and Transformers.js retain their respective licenses.
- Downloads last month
- 10
Model tree for emb1ter/ACE-Step-v1.5-5Hz-LM-4B-ONNX-WebGPU
Base model
ACE-Step/acestep-5Hz-lm-4B