Artfat Resolution

ComfyUI-Artfat-Resolution

A tiny, elastic resolution picker for ComfyUI built for low-base + upscale workflows (Krea 2 / Selfism / H3), but works anywhere. Four ways to set the size, two upscale stages, an optional image/mask resize to the computed size, and a live readout so you know the final file size before you render.

No canvas, no dozen buttons — clean controls and a real-time readout.

Node: Artfat Resolution

Four modes (one size dropdown)

• Preset size — pick a ready W×H (e.g. 2:3 portrait · 512×768). Beginner-friendly.
• Custom ratio — set ratio_w:ratio_h + base short side (e.g. 3:1 banners).
• Megapixels · aspect — set a target area in megapixels + an mp_aspect; the node solves W×H for that pixel budget and snaps both sides to multiple (e.g. 0.98 MP @ 9:16 → 736×1312). mp_aspect = custom (ratio_w:ratio_h) uses the ratio_w / ratio_h widgets instead of the named list.
• Manual W×H — type an exact manual_w / manual_h. Not snapped — exact stays exact (e.g. 1200×400).

mp_aspect list: 9:16, 2:3, 3:4, 4:5, 1:1, 5:4, 4:3, 3:2, 16:9, 21:9, custom.

Two upscale stages

• upscale_1, upscale_2 — decimal multipliers. 1.0 = off (true passthrough, no snapping).
• The node computes the full chain base → mid (×up1) → final (×up2) — matches a two-pass image or video upscale pipeline, so you see the final size up front.
• Since v3 the mid/final sizes are not output sockets — they appear in info and in the on-canvas readout only.

Optional image / mask resize

• Connect image and/or mask (both optional inputs) and the node resizes them to the BASE width×height — not to mid/final.
• scale_method — lanczos (default), nearest-exact, bilinear, area, bicubic. Passed straight to comfy.utils.common_upscale.
• crop — center = cover-crop keeping aspect; disabled = stretch to exact W×H.

Other inputs

• multiple — snap sides to 8 / 16 / 32 / 64 (16/32 safe for Krea 2 / Qwen / H3). Ignored for the exact side in Manual mode.
• base — short side, used only in Custom ratio mode.
• batch_size — for the empty LATENT output.
• latent_type — SD3 / Flux / Krea 2 (16ch) or SD1.5 / SDXL (4ch). Only matters if you use the latent output — match it to your model.

Outputs

| # | Name | Type | Notes | |---|------|------|-------| | 0 | width | INT | base width | | 1 | height | INT | base height | | 2 | image | IMAGE | connected image resized to base W×H; None if nothing is connected | | 3 | mask | MASK | connected mask resized to base W×H; None if nothing is connected | | 4 | latent | LATENT | empty latent at base size (drop your EmptyLatentImage) | | 5 | info | STRING | e.g. 512x768 -> 960x1472 -> 1920x2944 · 0.39 MP |

info lists only the stages that actually change the size, and always ends with the base megapixel count. Wire it into a text node for a readout / filename.

The node also draws the base → mid → final chain live at the bottom.

Gotchas

• Breaking vs v2 — the outputs changed. v2 was width, height, mid_width, mid_height, final_width, final_height, latent, info (8 sockets); v3 is width, height, image, mask, latent, info (6). ComfyUI wires outputs by index, so v2 workflows will come back mis-linked — re-wire the node after updating.
• image / mask outputs are None when the matching input is not connected. Only wire them downstream when you actually feed something in.
• The image path uses image[..., :3] — alpha is dropped, the output is always 3-channel RGB.
• scale_method = lanczos on a mask goes through ComfyUI's PIL lanczos path, which round-trips through 8-bit. For soft / precise masks prefer bilinear or area.
• The latent output is built as height // 8, width // 8. In Manual mode with sides that are not multiples of 8 this silently floors — use a snapping mode if that latent feeds a sampler.
• Megapixels mode snaps both sides with round-to-multiple, so the realised area is near the requested MP, not exact. The value actually reached is printed in info.
• The on-canvas live readout (web/artfat_resolution.js) mirrors the Preset / Custom ratio / Manual math only — in Megapixels mode it draws nothing. The node itself still computes correctly; read the numbers from the info output.

Install

Option 1 — ComfyUI-Manager (easiest) Custom Nodes Manager → Install via Git URL → https://github.com/artfat-creator/ComfyUI-Artfat-Resolution

Option 2 — git clone

cd ComfyUI/custom_nodes
git clone https://github.com/artfat-creator/ComfyUI-Artfat-Resolution.git

Then restart ComfyUI (a browser refresh is not enough — the node registers on server start).

No extra Python dependencies — uses torch and comfy.utils, both already provided by ComfyUI.

License

MIT © artfat-creator