akhaliq/MOSS-Image-Edit-HQ

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license: apache-2.0 base_model: OpenMOSS-Team/MOSS-Image-SFT tags:

• lora
• image-editing
• moss-image
• comfyui
• ml-intern

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MOSS-Image-Edit-HQ

🚀 v3 is out — armV3 is live. Trained on ConceptEdit-12M (the dataset behind chinoll's LoRA) with quality + locality-purity filtering. Head-to-head vs chinoll/Moss-Image-Edit on 15 real portraits — full grids below, judge them yourself. Download: weights/armV3/armV3.safetensors (ai-toolkit format, loads natively in ComfyUI) · armV3-moss-edit-lora.safetensors (ComfyUI plugin format) · Try the demo Space · Blind eval grid below.

An open effort to build an instruction-based image-editing LoRA for OpenMOSS-Team/MOSS-Image-SFT that beats chinoll/Moss-Image-Edit on quality — every experiment, checkpoint, and side-by-side published, including the ones that lost.

V3 head-to-head vs chinoll (real portraits)

5 real Pexels portraits (never in training), matched settings (1024px long edge, 50 steps, CFG 3, seed 42). Columns: source → chinoll → armV3. The exact instruction is printed on every row — judge it yourself:

Batch 2 — 5 different portraits, different instructions (accessory, lighting, removal, background, outfit):

Batch 3 — 5 different portraits, the hardest surgical categories (eye color, freckles, eyeglasses) plus environment and style:

About these grids

Three batches, 15 real portraits total, never in training. Every row is source → chinoll → armV3 at identical settings (1024px long edge, 50 steps, CFG 3, seed 42), with the exact instruction printed on the row. We don't call winners — the grids are the evidence, judge them yourself. Full per-candidate images: akhaliq/wiki-eval-images.

Use in ComfyUI

Option A — native ComfyUI (recommended, no conversion)

ComfyUI merged native MOSS-Image Edit support (PR #17296, Oct 22) — it loads ai-toolkit-format edit LoRAs directly, which is exactly our checkpoint format:

1. Update ComfyUI past v0.42.1 (master/nightly — the PR merged after the tag).
2. Drop weights/armV3/armV3.safetensors into ComfyUI/models/loras/ (no conversion, no rename needed).
3. Standard LoRA loader after Load Diffusion Model (MOSS-Image single-file weights from Comfy-Org/MOSS-Image).
4. Encode with the experimental Text Encode MOSS-Image Edit node: connect VAE + reference images, set edit_format = ai-toolkit (that's our training layout — index_timestep_zero_isolated with KV cache; chinoll's LoRA uses the Moss-Image-Edit option instead).
5. References are downscaled to ≤384×384 automatically; 50 steps, CFG 3, Euler, SLG layer 22.

Option B — Chenkin-x plugin (moss-edit-lora format)

Use the armV3-moss-edit-lora.safetensors file (root of this repo) — it's in the moss-edit-lora format that the ComfyUI-Moss-Image-Edit nodes load, same as chinoll's adapter.

See the full description on the original page