Flux3 AI Image and Video Generator | Flux3

What

Flux3 is an independent AI image and video generator for brand teams, film and game creatives, and independent creators. It combines text-to-image, reference remix, text-to-video, and image-to-video workflows in one account workspace so a visual brief, production settings, preview, and download stay together. It is positioned as a focused multimodal studio for moving from a still concept to short motion without rebuilding the idea in another tool.

Features

• Four generation workflows cover text-to-image, reference remix, text-to-video, and image-to-video, allowing users to start from a written scene or an existing frame and carry a visual anchor into motion.
• Reference-led control supports up to four JPG, PNG, or WebP images for reference remix and one for image-to-video, each up to 10 MB, when clear source images are available.
• Delivery controls let users choose landscape, square, or vertical output plus style, resolution, and duration before generation, so results can be planned for a specific channel.
• Account-based credit handling requires sign-in, shows the credit cost beside Generate, and uses different amounts for image and video based on server-side site configuration.
• Workspace review supports generated previews, downloadable results, and variation creation while keeping the prompt and production choices nearby.

Helpful Tips

• Treat Flux3 as an independent interface, not an official Black Forest Labs product; confirm licensing, model-use terms, and output suitability before commercial production, and do not treat sample previews as official model output.
• Test image and video workflows with launch credits before committing to recurring capacity, since credit costs differ by output type and are shown before submission.
• Prepare reference assets in advance and use clear sources within the stated format and size limits; reference remix allows up to four images, while image-to-video accepts one.
• Define channel, aspect ratio, resolution, and duration before prompting, and write concrete camera, motion, light, and material cues to reduce avoidable iterations.