Zum Inhalt springen
ModelAufgelistetExtern
Herunterladen

Ace Step1.5 DF11

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

ArtText modelBasismodellACE-Step/Ace-Step1.5VersionBBewertung

Modellquelle

Art
Text model
Dateigröße
3,04 GB
Basismodell
ACE-Step/Ace-Step1.5
Version
vacestep_v1.5_base-DF11
Aktualisiert
26. Okt. 2026
Downloads
322
Quelle
Hugging Face

Quellenbeschreibung

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",
    ),
}

Quellen

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

Verifiziert 26. Okt.

Modellartefakte

1 Artefakt

acestep_v1.5_base-DF11.safetensors

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

Herunterladen

Quellenauszüge

3 Auszüge

--- 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