Hello 2D animators 🤗✨️, As I am new joiner, I wanted to start implementing my learnings fast🚀 Thanks to guidance from Mark, I started the course on Animation Production Mastery. I really loved the content especially the "animatics". For the upcoming video of my YouTube channel (arabic), I am working on this song. I created some animations with AI as well as this animatics. If you have suggestions or (friendly, gentle 🙏) Feedback for improvemens, I am open and very thankful 🤗 PS. THANK YOU @Mark Diaz for your guidance and kind advice 👋😃

@Thomas Jennings @Arlene Dilworth @Ernesto Guerrero @Simona Adelina @Helene J @G. Vern Morris @Nancy Moon CONCLUSION 1: Kling Motion Control 3.0 can't animate if your video reference is an animation of rigged characters (like those from Cartoon Animator) - it has to be either live footage or 3D (like iClone) CONCLUSION 2: Kling Motion Control 3.0 struggles in getting the Character to be animated as traditional animation, still kept it 3D - I am attaching both videos here. When I used only Kling 3.0 (not motion control) to animate an image addint the text "Make this is a 2D traditional Animation animated at 12 fps" - it did a better job. Also Kling Motion Control 3.0 can't follow Cartoon Animator motions, I assume it is becase 2D motion from rigged characters could be too abstract for Kling - it kept crashing and not doing the job. - We kept burning credits testing multiple approaches for 1.5+ hrs, and nothing. - When we used 3D motion from iClone (thanks @Helene J for providing this simple clip), it worked on the first try. For this, I followed 5 steps. ✅ 1. Get a motion video ✅ 2. Get the first frame rendered as an image of the motion video ✅ 3. Get the character you need ✅ 4. Create the first frame with your character and your background in the position of the first frame ✅ 5. Use Kling Motion Control 3.0 - have the image move the same way as in the video

Creators often treat animatics as the finished, final product and animatics are a hit with YouTubers. 57% of 14 - 24-year-old animation fans watch animatics weekly or more. Independent creators on YouTube are more popular than the big animation studios.

I finally managed to put together the animatic for my story

I've been working for months on a teaser for my debut AI-generated feature film, and I'd love feedback from this community. The film is called "Brotherhood in the Bitter Cold" — inspired by the true story of my grandfather, a Transylvanian Hungarian who survived a Soviet labor camp and walked home from Siberia in 1948. The project is part AI experiment, part memoir, part love letter to a man who rarely spoke about what he lived through. WORKFLOW: — Script and storyboard: written by me, based on my novel of the same name (not yet published) — Character references, Cloth Reference, Environment Generation: Nano Banana (Gemini) with family photo references for facial consistency — Video generation: Seedance with detailed per-shot prompts — Narration: ElevenLabs v3 with intention-based tags for an elderly voice — Music: Suno TECHNICAL NOTES: — Maintained character consistency across shots using reference sheets generated in Nano Banana, then reinforced via Img2Vid in Seedance — Developed custom prompt structures for every generation using Claude Desktop with dedicated Skills (one Skill per tool: Seedance director, Nano Banana reference-sheet builder, ElevenLabs voice director, etc.) — Built custom character identity docs for each of the main characters to keep visual continuity across 40+ generations — Aspect ratio 21:9 CHALLENGES: — Facial consistency across long sequences remains the hardest problem — Text generation (carved into wood, etc.) still fails reliably — Period-correct wardrobe required heavy negative prompting (Seedance defaults wanted to add German/Alsatian half-timbering to Eastern European scenes) - Seedance still denies a lot of prompts, especially images with faces — Higgsfield Cinema Studio 3.5 solves this quite well as an alternative - Cost is significant: ~$300+ for 3 minutes of final output (teaser + prologue combined), which is steep for an independent creator. Much of that is re-generations and failed prompts — the "visible cost" is only part of the total spend.