feat: Bounding box canvas and Ideogram JSON prompt (CORE-292)#14537
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📝 WalkthroughWalkthroughThis PR introduces four new ComfyType IO classes ( 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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Actionable comments posted: 2
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Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@comfy_extras/color_util.py`:
- Around line 1-5: The hex_to_rgb function lacks error handling for invalid
hexadecimal characters within the 6-character string, which causes ValueError
exceptions when int() attempts to parse non-hex values like "ZZZZZZ". Wrap the
three int() conversion calls at the return statement in a try-except block that
catches ValueError, and return the same default white color tuple (255, 255,
255) when a conversion fails, ensuring graceful handling of malformed hex input
without crashing the preview render.
In `@comfy_extras/nodes_json_prompt.py`:
- Around line 52-58: The style_desc dictionary in the function is
unconditionally including aesthetics, lighting, and medium values even when they
are empty strings, which violates the documented contract that blank values
should be omitted. Modify the dictionary construction to only add these keys
(aesthetics, lighting, medium in the initial block and photo, art_style in the
conditional blocks) if their corresponding values are non-empty strings. Check
each value before adding it to style_desc to ensure only non-blank values are
included.
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comfy_api/latest/_io.pycomfy_extras/color_util.pycomfy_extras/nodes_bounding_boxes.pycomfy_extras/nodes_json_prompt.pycomfy_extras/nodes_string.pynodes.py
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| @comfytype(io_type="BOUNDING_BOXES") |
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Would it make sense and would it be possible to reuse the existing type @comfytype(io_type="BBOX")?
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Same situation as COLORS, plus a shape mismatch.
the BOUNDING_BOXES is a concrete list[{x, y, width, height, metadata: {type, text, desc, palette}}], and it has to map to our canvas editor widget.
Two reasons we can't reuse BBOX:
- No wrap-into-array mechanism (same as COLOR): there's no backend flag or frontend path to take a single type and render/declare it as an array-valued editor widget. A dedicated @comfytype with Type = list[...] and its own Input is the only way to get the editor widget, that's BOUNDING_BOXES.
- Shape: we need a concrete per-box contract incl. metadata (type/text/desc/palette); BBOX = Any carries no shape. Note we do reuse the existing structured single type, BOUNDING_BOXES.BoundingBoxWithMetadata extends BoundingBox.BoundingBoxDict ({x, y, width, height}) and just adds metadata.
So BOUNDING_BOXES reuses the existing BOUNDING_BOX shape where it fits and exists as a distinct list type purely to drive the editor widget.
| io.String.Input("background", multiline=True, default="", | ||
| tooltip="Scene background description."), | ||
| io.DynamicCombo.Input("style", options=[ | ||
| io.DynamicCombo.Option("none", []), |
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We should remove this option, the JSON should always contain one of photo or art_style
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just double check, on KJ's version, it supports none
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Actionable comments posted: 1
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@comfy_extras/nodes_color.py`:
- Line 28: The change to use hex_to_rgb(color) in the ColorToRGBInt.execute
method now silently converts invalid hex digits to white instead of raising an
error, which breaks existing node behavior. Replace the hex_to_rgb call with a
stricter validation approach that preserves the original error-raising behavior
for invalid hex input, ensuring that invalid hex values are rejected rather than
defaulting to white, and that the rgb_int output remains consistent with the
actual hex input validation.
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Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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comfy_api/latest/_io.pycomfy_extras/color_util.pycomfy_extras/nodes_bounding_boxes.pycomfy_extras/nodes_color.pycomfy_extras/nodes_json_prompt.pycomfy_extras/nodes_string.pynodes.py
🚧 Files skipped from review as they are similar to previous changes (4)
- nodes.py
- comfy_extras/nodes_json_prompt.py
- comfy_extras/color_util.py
- comfy_extras/nodes_bounding_boxes.py
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## Summary
Add two reusable node widgets backed by native (non-string) values:
- Bounding boxes editor (BOUNDING_BOXES): draw, select, resize, and
label regions over an optional background image. Value is a native list
of `{ x, y, width, height, metadata }` pixel boxes; the editor works in
normalized space internally and converts at the value boundary,
rescaling when the node's width/height change.
- Colors palette (COLORS): native `string[]` of hex colors, sharing the
PaletteSwatchRow component (usePaletteSwatchRow composable).
Both reactively hide the width/height widgets while a background image
is connected by writing through the widget value store so the Vue node
re-renders.
Some design refer to KJ's node
BE: Comfy-Org/ComfyUI#14537
Screenshot
<img width="3019" height="1470" alt="image"
src="https://github.com/user-attachments/assets/06795772-97e6-4084-9205-e370f955fb28"
/>
Co-authored-by: Alexis Rolland <alexisrolland@hotmail.com>
2 participants
Two dedicated nodes for building Ideogram 4's structured JSON caption:
Adds the DICT, ARRAY, COLORS, and BOUNDING_BOXES io types;
Made COLORS and BOUNDING_BOXES so the editor widgets pass native values.
Create Bounding Boxes lives in nodes_bounding_boxes.py,
Build JSON Prompt (Ideogram) in nodes_json_prompt.py, shared color helpers in color_util.py.
Also adds a Dict to JSON String node (nodes_string.py) that serializes a DICT with ensure_ascii=False, so non-ASCII captions render as real characters instead of \uXXXX escapes.
Screenshot
workflow
image_ideogram4_t2i (2).json
some design refer to KJ's node
need FE: Comfy-Org/ComfyUI_frontend#12960