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guillaume127/MiniMax-Music-3-Turbo-FP8
MiniMax-Music-3-Turbo-FP8 is a text-to-audio model from guillaume127. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
π Production Release (Master 8-Step Distillation): - β 8-Step Turbo LoRA (minimaxmusic3turbolora8step.safetensors): Fully distilled over 5,000 real optimization steps through all 36 DiT layers using true Teacher-Studβ¦
Downloads Β· 30 days
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Updated Aug 28, 2026
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.safetensors11.8 GB Β· 100%
From the Hugging Face model README
π Production Release (Master 8-Step Distillation):
- β 8-Step Turbo LoRA (
minimax_music3_turbo_lora_8step.safetensors): Fully distilled over 5,000 real optimization steps through all 36 DiT layers using true Teacher-Student Euler trajectory matching. All 144 adapter matrices (94.3M active parameters) are trained and calibrated for fast, high-fidelity 8-step sampling at Strength 1.00.- β Pure FP8 Models (
minimax_music3_text_encoder_fp8_e4m3fn.safetensors&minimax_music3_dit_fp8_e4m3fn.safetensors): Pure unrotated FP8 models delivering the primary ~3.8x generation speedup (cutting full song generation from ~15 minutes down to 233 seconds).
Listen to full audio samples generated with the exact same seed:
| Version | Audio Player / File | Description |
|---|---|---|
| π With Turbo LoRA (8 Steps, Strength 1.00) | π With_LoRA_8Steps.mp3 | Crisp vocals, full dynamic range, generated in only 8 steps. |
| Standard Baseline (Without LoRA) | π Without_LoRA.mp3 | Baseline unaccelerated generation. |
| Configuration | Full Song Generation Time | Total Speedup | VRAM Footprint |
|---|---|---|---|
| Baseline (INT8 non-optimized) | ~895s (~15 minutes) | 1.0x (Base) | ~16 GB |
Text Encoder & DiT in FP8 (e4m3fn) | ~315s (~5 minutes 15s) | β‘ 2.8x Faster | ~11 GB |
| π₯ FULL STACK: FP8 + Master Turbo LoRA (8 steps) + SageAttention | β‘ 233.76s (~3 min 53s) | π ~3.8x Faster (-11 min!) | ~11.5 GB |

LoraLoaderModelOnly:
lora_name: minimax_music3_turbo_lora_8step.safetensorsstrength_model: 1.00 (Verified ideal for 8-step sampling)Patch Sage Attention KJ:
sage_attention: autoallow_compile: trueKSampler:
steps: 8sampler_name: eulerscheduler: simplecfg: 1.5 - 1.7MiniMax Music3 Text Encode:
clip: minimax_music3_text_encoder_fp8_e4m3fn.safetensorscfg_scale: 1.5| File Name | Size | Format | ComfyUI Target Folder | Status |
|---|---|---|---|---|
minimax_music3_text_encoder_fp8_e4m3fn.safetensors | 8.48 GB | Pure FP8 e4m3fn (from clean BF16 source) | ComfyUI/models/text_encoders/ | β Verified & Production Ready |
minimax_music3_dit_fp8_e4m3fn.safetensors | 2.46 GB | Pure FP8 e4m3fn DiT Flow-Matching | ComfyUI/models/diffusion_models/ | β Verified & Production Ready |
minimax_music3_turbo_lora_8step.safetensors | 180 MB | Master LoRA (5,000 Real Distillation Steps, Rank 64) | ComfyUI/models/loras/ | β Master Distillation Complete |
Conversion scripts and the complete teacher-student distillation training engine are available on GitHub:
π GitHub: Guillaume-127/Minimax-music-3-Turbo-8-steps
Created by Guillaume-127. Released for the open-source AI music community.