ADS Forge Custom Models & LoRAs Repository

Repositori ini menyimpan seluruh kebutuhan aset bobot model, LoRA, VAE, Text Encoders, dan patch untuk ekosistem ADS Forge (ComfyUI Local & RunPod Cloud Worker).

Struktur direktori di repositori ini didesain 1:1 identik dengan folder instalasi ComfyUI (models/):

β”œβ”€β”€ clip_vision/ β”œβ”€β”€ diffusion_models/ β”œβ”€β”€ embeddings/ β”œβ”€β”€ insightface/ β”œβ”€β”€ ipadapter/ β”œβ”€β”€ latent_upscale_models/ β”œβ”€β”€ loras/ β”œβ”€β”€ model_patches/ β”œβ”€β”€ RMBG/ β”œβ”€β”€ SEEDVR2/ β”œβ”€β”€ text_encoders/ β”œβ”€β”€ ultralytics/ β”œβ”€β”€ upscale_models/ β”œβ”€β”€ vae/ └── vae_approx/

Ringkasan Kategori Model

  1. LoRAs (25 File, ~26.8 GB):
    • MiniMax H3 LoRAs (DMAD 4/8-step, ELM Longlive, FL2VA-Acc, Ref2VA-Acc, Motion/Acceleration Sliders, Rough Sketch, Digital Art)
    • LTX-2.5 & LTX-2.3 LoRAs (Distilled 450, IC-LoRA Ingredients, Refine Details, Colorization, Deblur, Decompression, Pixel Spatial Upscaler, Motion Track, Anime Style)
    • Krea2 Anything2Real Characters
  2. Diffusion & Base Models (4 File, ~95.2 GB):
    • MiniMax-H3 Singularity ref2va v2 int8
    • MiniMax-H3 Hybrid Uncensored int8
    • MiniMax-H3 Ref2VA pruned int8
    • Krea2 Turbo bf16
  3. Text Encoders (5 File, ~62.8 GB):
    • Gemma 4 12B with proj LTX-2.5 (bf16 & int8)
    • Qwen3-VL 32B MiniMax H3 nvfp4 awq
    • Qwen3-VL 4B bf16
    • Qwen 3 0.6B Base
  4. VAE & Latent Upscalers (8 File, ~7.8 GB):
    • LTX-2.5 Video & Audio VAE
    • MiniMax H3 Video & Audio VAE
    • Qwen Image VAE
    • LTX-2.5 & MiniMax H3 Latent Upscalers
  5. ControlNet, Patches, Vision & Utility (~15.6 GB):
    • MiniMax H3 Fun ControlNet Union 2.0
    • IP-Adapter FaceID Plus v2 SDXL/SD15 + CLIP Vision ViT-H-14
    • InsightFace Antelopev2
    • RMBG 2.0 BiRefNet & SEEDVR2
    • Ultralytics YOLOv8 (Face & Hand Detailer) & Upscale Models

Cara Download Cepat ke ComfyUI

Gunakan script bawaan ADS Forge atau Python huggingface_hub:

`ash

Download seluruh LoRA

python tools/hf_model_download.py --filter loras

Download seluruh VAE

python tools/hf_model_download.py --filter vae `

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