
The multilingual on image text support stands out to me since most generators still garble text in images. Having Flare as a fast default with Sunburst for edit control is a smart split. I would love to know how the reference guided edits handle brand consistency when you upload the full 16 reference images.
Congrats on the launch! The multilingual on-image text caught my eye. Does it handle Indian scripts like Hindi (Devanagari) and Gujarati well, with conjunct letters and matras placed correctly? Most image models still break those. We make finance graphics in Hindi and Gujarati, so I'd be keen to try it if it does.

AI image generation is becoming a valuable part of content creation, especially for creators who want to produce visuals without a complicated workflow. I'd be interested to know how much control users have over the final images and whether the tool offers enough flexibility for different content styles.

Congrats on the launch! Reference-guided generation with up to 16 images is a strong differentiator for brand-consistent product visuals. I'd love to know whether the 4K output pipeline re-resamples the base model or upscales, since that affects on-image text legibility at larger sizes. Would also be useful to expose a seed parameter for reproducibility in marketing workflows.
The combination of high-resolution outputs, reference-guided editing, and multilingual text rendering sounds especially useful for designers and content creators. I can see this being valuable for creating social media graphics, product visuals, posters, and marketing campaigns without constantly switching between different tools. The ability to refine specific parts of an image through follow-up edits is a particularly useful feature.

The multilingual on image text support stands out to me since most generators still garble text in images. Having Flare as a fast default with Sunburst for edit control is a smart split. I would love to know how the reference guided edits handle brand consistency when you upload the full 16 reference images.
Congrats on the launch! The multilingual on-image text caught my eye. Does it handle Indian scripts like Hindi (Devanagari) and Gujarati well, with conjunct letters and matras placed correctly? Most image models still break those. We make finance graphics in Hindi and Gujarati, so I'd be keen to try it if it does.

AI image generation is becoming a valuable part of content creation, especially for creators who want to produce visuals without a complicated workflow. I'd be interested to know how much control users have over the final images and whether the tool offers enough flexibility for different content styles.

Congrats on the launch! Reference-guided generation with up to 16 images is a strong differentiator for brand-consistent product visuals. I'd love to know whether the 4K output pipeline re-resamples the base model or upscales, since that affects on-image text legibility at larger sizes. Would also be useful to expose a seed parameter for reproducibility in marketing workflows.
The combination of high-resolution outputs, reference-guided editing, and multilingual text rendering sounds especially useful for designers and content creators. I can see this being valuable for creating social media graphics, product visuals, posters, and marketing campaigns without constantly switching between different tools. The ability to refine specific parts of an image through follow-up edits is a particularly useful feature.
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