Kling AI reports Cannes Marché du Film debut for AI film workflows

• Kling_ai's Cannes post and Kling_ai's conference recap say Kling staged an official Marché du Film event in Cannes on May 18, pitching AI video as part of real film production workflows.
• In a paid Adobe partnership thread, AllaAisling's workflow post used GPT Image 2 for reference frames, Kling 2.5 Turbo for fast single-shot prototyping, and Kling 3.0 for multi-shot scene control plus native synchronized dialogue and built-in lip-sync.
• CuriousRefuge's acting tests found Seedance 2.0 more emotionally nuanced in most prompt tests, while Kling 3.0 skewed broader and more theatrical, which is a useful read on where Kling's film look currently lands.
• Kling_ai's RAPHAEL announcement says a 100 percent AI-generated feature film project is now in production with a 2026 theatrical target, using Kling throughout the pipeline.

You can jump from Adobe's Kling quick guide to the GPT Image 2 guide, then straight into Firefly image generation and Firefly video. Meanwhile CuriousRefuge's comparison post and Kling_ai's RAPHAEL reveal show the split in the story: one side is fast creator workflow assembly, the other is Kling trying to claim actual film production territory.

Kling is framing Cannes as an industry positioning move, not a feature drop. Kling_ai's Cannes post says filmmakers and industry talent turned up for a May 18 conference at Marché du Film, while Kling_ai's conference recap calls it Kling's debut on "the world's most prestigious film stage."

The company also used the recap to widen the pitch. The post says Kling has already been used across animated features, Hollywood series, experimental shorts, and theatrical features, but it does not name the productions in that thread.

The most concrete workflow evidence came from AllaAisling's Adobe partnership thread, which is basically a compact recipe for building a cinematic ad in one afternoon.

The stack breaks down cleanly:

• GPT Image 2 for character and environment reference images
• Kling 2.5 Turbo for quick single-shot generation and idea prototyping
• Kling 3.0 for multi-shot scene control from one source image
• Kling 3.0 again for native synchronized dialogue and built-in lip-sync
• Reference-based generation to keep the character stable across shots

That post matters because it pins Kling to a wider creator toolchain, not a one-model workflow. The asset prep happens upstream, then Kling handles motion, camera variation, and talking-head continuity.

Not every creator who tested cinematic prompting thought Kling was the most natural actor. CuriousRefuge's acting tests says Seedance 2.0 beat Kling 3.0 in most of its emotional-performance prompts, with Kling reading as more theatrical.

The same thread still lands on a useful role for this class of model. CuriousRefuge says a GPT Image 2 storyboard panel with multiple shots and timing notes can be pushed into Seedance for rapid cinematic previs, and the group called the result surprisingly effective for testing pacing, composition, and transitions.

That makes Kling's current positioning pretty legible. It is being sold as film-grade, but creator-side evidence still describes the category through previz, prototyping, and shot exploration, not finished dramatic performance.

Kling's strongest production claim this week was not the Cannes conference, it was Kling_ai's RAPHAEL announcement. The company says RAPHAEL is a 100 percent AI-generated feature film project being developed by Mateo AI Studio and MBC C&I's AI Content Lab, with a theatrical-release goal in 2026.

The post says Kling's video model is being used throughout production to push distinctive visual effects and support what it calls the industrial viability of pure AI filmmaking. That is a much bigger claim than solo-ad workflow demos, and it is the clearest sign in this evidence set that Kling wants to be read as production infrastructure, not just a flashy generator.