Loop Forge

Colorize: Jin's page

Works, from MOSS-Image add-ons, tested locally

Frame from the Input: Jin's comic page (colorize) result
Input: Jin's comic page (colorize)Download PNG2.1 MB
Frame from the Without LoRA result
Without LoRADownload JPG0.3 MB
Frame from the Colorize result
ColorizeDownload JPG0.3 MB
Model
MOSS-Image Base (moss_image_base_int8_convrot.safetensors)
Output
864×1152
Sampling
50 steps, CFG 3, er_sde / normal
Seed
1
Without LoRA
169.6 s, peak VRAM 10.1 GiB
Colorize
99.1 s, peak VRAM 10.2 GiB
Ran on
RTX 3060, 12GB (local)

What was wired in

  • Jin's comic page (colorize)
    Input page
    Jin's comic page (colorize)Comic page drawn from the Jin cast photo with the Qwen-Image 2.1 edit template (not MOSS), black and whiteDownload PNG2.1 MB
Works

It kept the line work on all three pages. Some came out brighter than others, and on one the hoodie and the hair stayed quite pale.

"summary":"caption":"comic"

Notes

Colorize is its own LoRA (moss_colorize_3k_v4) on MOSS Base, loaded by the MOSS i2i Reference node together with the input page. The prompt is the helper's "comic" caption, and the negative is the one from the LoRA's card.

Times on this page are for these two runs.

sorryhyun/MOSS-I2I-LORAs on Hugging Face

ComfyUI-MOSS-Toolkit (the MOSS i2i Reference node)

Workflow: Without LoRA

Run it yourself

Download everything for this test (.zip, 2.1 MB). It holds the workflow, every input it loads and a README. Copy the inputs into ComfyUI/input, put the models below in place and drag the workflow onto ComfyUI.

FilePut it inSize
moss_image_base_int8_convrot.safetensorsmodels/diffusion_models5.4 GB
qwen3.5_9b_w4a8_gptq.safetensorsmodels/text_encoders7.3 GB
flux2-vae_small.safetensorsmodels/vae249.5 MB
moss_colorize_3k_v4.safetensorsmodels/loras148.7 MB

Custom nodes: ComfyUI-MOSS-Toolkit at commit 53ee3b3. Everything else is part of ComfyUI 0.43.1 (frontend 1.57.6, templates 0.11.100).