Model reference · open weights

IC-Custom

Image TencentARC Image edit 1 build Its own licence terms 11 dl/mo

IC-Custom is an open-weight image model from TencentARC. IC-Custom (BF16) weighs 169 MB; the smallest configuration that runs it is RTX 3060 12 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

  • IC-Custom is an image-to-image model developed by TencentARC for diverse image customization scenarios.
  • It supports position-aware tasks, such as product placement and virtual try-on, by using a reference image, target background, and specified location.
  • The model also handles position-free tasks, like IP customization and character creation, by generating new images based on a reference image and a target description.
  • It operates in English and is released under an other licence.

Summary of the TencentARC/IC-Custom model card, 2026-10-01

What it is

Released byTencentARC
Released2025-08-24
VRAM169 MB for the weights

What it runs on

Memory and cards for IC-Custom (BF16)

169 MBweights, file size
142 MBbiggest part
5.0 GBworking memory, one 1024² image
537 MBruntime overhead
CardOne imageMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What TencentARC says about IC-Custom

Read the model card

         

IC-Custom is designed for diverse image customization scenarios, including:

  • Position-aware: Input a reference image, target background, and specify the customization location (via segmentation or drawing) Examples: Product placement, virtual try-on.

  • Position-free: Input a reference image and a target description to generate a new image with the reference image's ID Examples: IP customization, character creation.

Citation

If you find IC-Custom useful, please consider giving it a ⭐ on GitHub.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

Running it yourself

Run it on a rented GPU

Rent a machine by the hour. ComfyUI is installed on it. Open ComfyUI through the tunnel and load the workflow from the model's card on Hugging Face; choose this model's file in its loader.

# on your rented machine (the ssh line is on its page in the console)
# get REPO FILE FOLDER: one file into /workspace/models/FOLDER, where ComfyUI loads it from
get() { hf download "$1" "$2" --local-dir /workspace/hf-files && mkdir -p "/workspace/models/$3" && mv "/workspace/hf-files/$2" "/workspace/models/$3/$4"; }

# the model (135 MB)
get TencentARC/IC-Custom dit_lora_0x1561.safetensors diffusion_models

start-comfyui
Renting a GPU: connect, tunnels, ComfyUI
# on your computer, in a second terminal: ComfyUI in your browser at http://localhost:8188
# HOST, PORT and BOOKING are your machine's, from its page in the console
ssh -o HostKeyAlias=axforge-BOOKING -o StrictHostKeyChecking=accept-new -L 8188:localhost:8188 dev@HOST -p PORT
© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms