ChatGPT Sketch turns your bad drawings into detailed AI images
OpenAI launched ChatGPT Images 2.5, introducing a new "Sketch" feature that lets users draw doodles inside ChatGPT to generate images from their sketches Users can now leave inline comments directly on generated images to request specific edits, enabling iterative refinement across multiple turns The new model delivers more natural lighting, richer textures, and up to 50% faster image generation latency compared to Images 2.0 Sketch is activated by typing @Sketch in the chat box, opening a drawi
Analysis
TL;DR
- OpenAI launched ChatGPT Images 2.5, introducing a new "Sketch" feature that lets users draw doodles inside ChatGPT to generate images from their sketches
- Users can now leave inline comments directly on generated images to request specific edits, enabling iterative refinement across multiple turns
- The new model delivers more natural lighting, richer textures, and up to 50% faster image generation latency compared to Images 2.0
- Sketch is activated by typing @Sketch in the chat box, opening a drawing window for direct sketch input
- The update is available now for ChatGPT, ChatGPT Work, and Codex users across desktop, mobile, and web platforms
Why It Matters
The Sketch feature represents a significant shift in how users interact with AI image generation, lowering the barrier to entry for non-designers who can now communicate visual ideas through rough drawings rather than precise text prompts. The multi-turn editing capability with inline comments also addresses one of the most common pain points in AI image generation—iterative refinement—making the tool more practical for professional workflows.
Technical Details
- Sketch-to-Image Pipeline: Users activate the feature via the @Sketch command, which opens an in-chat drawing canvas; the system interprets rough doodles and generates polished images based on both the sketch and accompanying text instructions
- Inline Comment Editing: A new annotation system allows users to leave comments on specific regions of generated images, enabling targeted edits (e.g., changing eye color) without regenerating the entire image
- Performance Improvements: Image generation latency reduced by up to 50% compared to Images 2.0, with enhancements in natural lighting rendering and texture richness
- Multi-Turn Instruction Following: The model is optimized to maintain and apply editing instructions consistently across multiple conversational turns
- Cross-Platform Availability: Deployed across desktop, mobile, and web for ChatGPT, ChatGPT Work, and Codex subscribers
Industry Insight
- The Sketch feature signals a broader industry trend toward multimodal input—combining drawing, text, and iterative feedback—making AI image tools more accessible to casual users and expanding the addressable market beyond prompt-engineering-savvy professionals
- Inline comment-based editing is a strategic move to improve workflow efficiency; competitors should prioritize similar interactive refinement mechanisms to remain competitive in the generative image space
- The 50% latency reduction is a meaningful competitive differentiator, as speed directly impacts user experience and adoption in professional settings where rapid iteration is essential
Disclaimer: The above content is generated by AI and is for reference only.