Automated reference image generation from text briefs for `img2threejs`.
Raw Developer Origin & Technical Request
GitHub Issue
Jul 17, 2026
## Motivation
Right now you must hand the pipeline a reference image. For real projects you often start from a **text brief** or a partial asset list, not photos. An optional front-end that produces candidate reference images would let teams go from "I need a stylized loot chest" to a procedural Three.js model without sourcing art first.
## Scope
- An **opt-in, provider-agnostic** step: given a text prompt or a project/asset spec, generate or source candidate reference images, then feed the best one into the existing `probe → assessment → spec → generate` flow.
- Keep it pluggable — the image source (a text-to-image model, an asset search, or a user folder) should be behind a small adapter, not hard-wired to one provider.
- Surface licensing/provenance of any sourced image so nothing unlicensed slips into a build.
## Acceptance criteria
- `--from-prompt ""` (or equivalent) yields a candidate reference the current pipeline consumes unchanged.
- The adapter interface is documented so a contributor can add a new image source in one file.
- Provenance/licensing is recorded in the assessment artifact.
## Open questions (discussion welcome)
- Which providers to support first, and how to keep the core dependency-free?
- How to rank/choose among multiple candidates automatically vs. asking the user?
**Difficulty:** medium–hard · research-flavored. Comment with design ideas before implementing.
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Adjacent Repository Pain Points
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Engagement Signals
Cross-Market Term Frequency
Counts stored text matches for foundational terms like adapter and text prompt in analysed public discussions. These counts do not measure adoption.
Stored text matches, not adoption or market-share measurements.
- adapter: 19 records
- text prompt: 3 records
- text-to-image model: 2 records
- text brief: 1 records
- auto-generate reference images: 1 records
- opt-in, provider-agnostic step: 1 records
- project/asset spec: 1 records
- asset search: 1 records
- licensing/provenance: 1 records
- probe → assessment → spec → generate flow: 1 records
- assessment artifact: 1 records
SaaS Metrics