V1.5 Ace Step 1.5. Turbo and SFT normal and XL model with Ollama: Ace Step 1.5 XL models are out. Update ComfyUi to latest version to use with this workflow.

• setup to create up to 4 tracks in a run, 2x Ace1.5 and 2x Ace1.5 XL, each with Turbo and SFT model, to compare (can be individually switched on/off)

• VAE changed to tiled Audio VAE decode, uses less Vram.

XL Models: https://huggingface.co/Comfy-Org/ace_step_1.5_ComfyUI_files/tree/main/split_files/diffusion_models

XL Model merges: https://huggingface.co/Aryanne/acestep-v15-test-merges/tree/main/xl

VAE and Textencoder same as Ace 1.5 (see download links below)

V1.2 Ace Step 1.5. Turbo and SFT model with Ollama Text to Audio/Song (examples below)

• small update to GUI, system prompts and SFT sampler "engine"

V1.0 Ace Step 1.5. Turbo and SFT model with Ollama Text to Audio/Song

Ace Step uses TAGS and LYRICS to create a song. These can be generated by Ollama or by own prompts.

• Can use any Song, Artist as reference or any other description to generate tags and lyrics.

• Will output up to two songs, one generated by Turbo model, the other by the SFT model (experimental).

• Keyscales, bpm and song duration can be randomized.

• able to use dynamic prompts.

• creates suitable songtitle and filenames with Ollama.

• Lora Loader included, hope to see some Loras soon!

Important: Do not use sage attention in your comfyui starting parameters, avoid --lowvram setting, as this might force Texencoder to run very slow on CPU instead of GPU. Recommend to toggle Link visibility to hide the wires.

Download Files:

• Ace Step 1.5 TURBO model: https://huggingface.co/Comfy-Org/ace_step_1.5_ComfyUI_files/tree/main/split_files/diffusion_models

• Ace Step 1.5 SFT model: https://huggingface.co/ACE-Step/acestep-v15-sft/tree/main (download model.safetensor and rename it)

• Textencoder: https://huggingface.co/Comfy-Org/ace_step_1.5_ComfyUI_files/tree/main/split_files/text_encoders (Qwen_0.6b and Qwen_4b required, 1.7b is a smaller alternative to 4b)

• VAE: https://huggingface.co/Comfy-Org/ace_step_1.5_ComfyUI_files/tree/main/split_files/vae

Ollama Models, required for tags, lyrics and songtitle, you can choose 1,2 or 3 different models, tags and lyrics might need a bigger model >7b, songtitle can use a smaller model:

• https://ollama.com/huihui_ai/qwen3-vl-abliterated (for tags and lyrics, able to use thinking)

• https://ollama.com/artifish/llama3.2-uncensored (small and fast for songtitle and tags)

• https://ollama.com/mirage335/Llama-3-NeuralDaredevil-8B-abliterated-virtuoso (allround model, fast, usable for tags, lyrics and songtitle)

Update 9th of Feb 26: Alternative Turbo and SFT Models :

• Turbo continuous: https://huggingface.co/ACE-Step/acestep-v15-turbo-continuous/tree/main

• SFT-Shift1: https://huggingface.co/ACE-Step/acestep-v15-turbo-shift1/tree/main

• SFT-Shift3: https://huggingface.co/ACE-Step/acestep-v15-turbo-shift3/tree/main

• Merges of SFT, Turbo and Base model: https://huggingface.co/Aryanne/acestep-v15-test-merges/tree/main

Which models to start with ? => Turbo, SFT-Shift1 and Llama3-NeuralDaredevil for Ollama.

• My current choice: Turbo-SFT merge_ta_0.5, SFT-Shift1 and Llama3-NeuralDaredevil for Ollama. Using these settings:

  • Turbo-SFT_merge model with 22 steps, sampler: er_sde, scheduler: beta57

  • SFT-Shift1 model with 100-140 steps, sampler euler, scheduler: normal

Save Location:

• 📂 ComfyUI/

• ├── 📂 models/

• │ ├── 📂 diffusion_models/

• │ │ └── acestep_v1.5_turbo.safetensors

• │ ├── 📂 text_encoders/

• │ │ ├── qwen_0.6b_ace15.safetensors

• │ │ └── qwen_4b_ace15.safetensors (or 1.7b)

• │ └── 📂 vae/

• │ └── ace_1.5_vae.safetensors

Custom Nodes used:

• https://github.com/rgthree/rgthree-comfy

• https://github.com/yolain/ComfyUI-Easy-Use

• https://github.com/stavsap/comfyui-ollama

• https://github.com/KoinnAI/ComfyUI-DynPromptSimplified

optional (use Beta57 scheduler for a bit more punch, requires RES4LYF): https://github.com/ClownsharkBatwing/RES4LYF

Examples various styles:

• https://soundcloud.com/tele-joe/firestorms_unleashed_turbo_000

• https://soundcloud.com/tele-joe/westsidevibesforever_funkhipho

• https://soundcloud.com/tele-joe/lonelyroadsoul_turbo_00001

• https://soundcloud.com/tele-joe/hangover

• https://soundcloud.com/tele-joe/sft_secret-paradise

• https://soundcloud.com/tele-joe/cosmicdreamscapesynthpop_turbo

• https://soundcloud.com/tele-joe/mindspin-synthpop_turbo_00001

• https://soundcloud.com/tele-joe/wildreckoning_thrashmetal_turb

• https://soundcloud.com/tele-joe/freeflight_metalcore_sft_00001

• https://soundcloud.com/tele-joe/urban-ascension_soulful

Ollama help:

1. Install Ollama from https://ollama.com/

2. download a model: Go to a model page, chose a model , then hit the copy button, i.e. https://ollama.com/huihui_ai/qwen3-vl-abliterated

3. open terminal and paste the model name, i.e.: ollama run huihui_ai/qwen3-vl-abliterated

4. model will be downloaded and can be selected in green comfy node "Ollama Connectivity". Hit "Reconnect" to refresh.