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Ace Step1.5 DF11

For more information (including how to compress models yourself), check out and

TipoText modelModelo baseACE-Step/Ace-Step1.5VersãoBnota

Fonte do modelo

Tipo
Text model
Tamanho do arquivo
3,04 GB
Modelo base
ACE-Step/Ace-Step1.5
Versão
vacestep_v1.5_base-DF11
Atualizado
26 de out. de 2026
Downloads
322
Fonte
Hugging Face

Descrição da fonte

For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11 and https://github.com/LeanModels/DFloat11

Feel free to request for other models for compression as well, although models whose architecture I am unfamiliar with might be slightly tricky for me.

How to Use

ComfyUI

Install the ComfyUI DFloat11 Extended node via the ComfyUI manager. After installing, simply replace the "Load Diffusion Model" node of an existing workflow with the "Load Diffusion Model" node. If you run into any issues, feel free to leave a comment.

Official implementation

This is coming soon, but I suspect that these existing compressed weights might be compatible out-of-the-box with the official implementation.

Compression Details

This is the pattern_dict for compressing ACEStep15-based models in ComfyUI:

pattern_dict_comfyui = {
    r"decoder\.time_embed": (
        "linear_1",
        "linear_2",
        "time_proj",
    ),
    r"decoder\.time_embed_r": (
        "linear_1",
        "linear_2",
        "time_proj",
    ),
    
    r"decoder\.layers\.\d+": (
        "self_attn.q_proj",
        "self_attn.k_proj",
        "self_attn.v_proj",
        "self_attn.o_proj",
        "cross_attn.q_proj",
        "cross_attn.k_proj",
        "cross_attn.v_proj",
        "cross_attn.o_proj",
        "mlp.gate_proj",
        "mlp.up_proj",
        "mlp.down_proj",
    ),
    
    r"encoder\.lyric_encoder\.layers\.\d++": (
        "self_attn.q_proj",
        "self_attn.k_proj",
        "self_attn.v_proj",
        "self_attn.o_proj",
        "mlp.gate_proj",
        "mlp.up_proj",
        "mlp.down_proj",
    ),
    r"encoder\.timbre_encoder\.layers\.\d+": (
        "self_attn.q_proj",
        "self_attn.k_proj",
        "self_attn.v_proj",
        "self_attn.o_proj",
        "mlp.gate_proj",
        "mlp.up_proj",
        "mlp.down_proj",
    ),

    r"tokenizer\.attention_pooler\.layers\.\d+": (
        "self_attn.q_proj",
        "self_attn.k_proj",
        "self_attn.v_proj",
        "self_attn.o_proj",
        "mlp.gate_proj",
        "mlp.up_proj",
        "mlp.down_proj",
    ),

    r"detokenizer\.layers\.\d+": (
        "self_attn.q_proj",
        "self_attn.k_proj",
        "self_attn.v_proj",
        "self_attn.o_proj",
        "mlp.gate_proj",
        "mlp.up_proj",
        "mlp.down_proj",
    ),
}

Fontes

1 fonte
Hugging FacePrimárioVersão 2850a9b90a35234adb65d3f67d66bd9fbbafee12
huggingface.co/mingyi456/Ace-Step1.5-DF11-ComfyUI/tree/2850a9b90a35234adb65d3f67d66bd9fbbafee12

Verificado 26 de out.

Artefatos de modelo

1 artefato

acestep_v1.5_base-DF11.safetensors

safetensors · 3,04 GB · SHA-256 f9708cf02ebe…8517 · Hugging Face

Baixar

Trechos de fonte

3 trechos

--- license: mit language: - en - zh pipeline_tag: text-to-audio tags: - comfyui - diffusion-single-file base_model: - ACE-Step/Ace-Step1.5 base_model_relation: quantized --- For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11 and https://github.com/LeanModels/DFloat11 Feel free to request for other models for compression as well, although models whose architecture I am unfamiliar with might be slightly tricky for me. ### How to Use #### ComfyUI Install the ComfyUI DFloat11 Extended node via the ComfyUI manager. After installing, simply replace the "Load Diffusion Model" node of an existing workflow with the "Load Diffusion Model" node. If you run into any issues, feel free to leave a comment. #### Official implementation This is coming soon, but I suspect that these existing compressed weights might be compatible out-of-the-box with the official implementation. ### Compression Details This is the `pattern_dict` for compressing ACEStep15-based models in ComfyUI: ```python pattern_dict_comfyui = { r"decoder\.time_embed": ( "linear_1", "linear_2", "time_proj", ), r"decoder\.time_embed_r": ( "linear_1", "linear_2", "time_proj", ), r"decoder\.layers\.\d+": ( "self_attn.q_proj", "self_attn.k_proj", "self_attn.v_proj", "self_attn.o_proj", "cross_attn.q_proj", "cross_attn.k_proj", "cross_attn.v_proj", "cross_attn.o_proj", "mlp.gate_proj", "mlp.up_proj", "mlp.down_proj", ), r"encoder\.lyric_encoder\.layers\.\d++": ( "self_attn.q_proj", "self_attn.k_proj", "self_attn.v_proj", "self_attn.o_proj", "mlp.gate_proj", "mlp.up_proj", "mlp.down_proj", ), r"encoder\.timbre_encoder\.layers\.\d+": ( "self_attn.q_proj", "self_attn.k_proj", "self_attn.v_proj", "self_attn.o_proj", "mlp.gate_proj", "mlp.up_proj", "mlp.down_proj", ), r"tokenizer\.attention_pooler\.layers\.\d+": ( "self_attn.q_proj", "self_attn.k_proj", "self_attn.v_proj", "self_attn.o_proj", "mlp.gate_proj", "mlp.up_proj", "mlp.down_proj", ), r"detokenizer\.layers\.\d+": ( "self_attn.q_proj", "self_attn.k_proj", "self_attn.v_proj", "self_attn.o_proj", "mlp.gate_proj", "mlp.up_proj", "mlp.down_proj", ), } ```

Source context: 322 downloads · 13 likes · Pipeline text-to-audio · Library diffusion-single-file · Repo mingyi456/Ace-Step1.5-DF11-ComfyUI

Source context: 222 downloads · 13 likes · Pipeline text-to-audio · Library diffusion-single-file · Repo mingyi456/Ace-Step1.5-DF11-ComfyUI