1. Reference Video -> Convert to Depth Map 2.... Depth Map -> Seedance 2.0 (Reference Video) 3. Add Reference Image 4. Set Duration / Resolution / Aspect 5. Pass Audio from Reference Video -> Final 6. Hit Runshow more

✨Generate a storyboard from the brand poster with GPT... Image 2 -> Use the storyboard as a reference image to create a video with Seedance 2.0:show more

After extracting the depth video, the effect obtained by... video referencing is very good. 1. Prepare the reference video 2. Extract the depth video 3. Prepare the character reference images 4. Input the extracted depth video and character reference images into seedance2, and you will get perfect results Complete workflow is below:show more

🚀 Wan 2.6 is now live on fal !... • Text-to-Video & Image-to-Video up to 1080p • Up to 15 second generations • Multi-shot video with intelligent scene segmentation • Import your own audio • Reference-to-Video - use 1-3 reference videos for character/object consistencyshow more

GPT Image 2 + Seedance 2.0 Prompt Share Blade... Ballet This one don't have a character reference, storyboard to video. Prompts in the replies. Created on @MartiniArt_show more

🤯 Depth videos perfectly solve false flags on reference... videos — and can perfectly recreate both martial arts and dance! Turned a Guan Dao martial arts clip into a Depth motion reference, swapped the fighter for a market auntie, and moved the scene to a T-junction inside a local market 🤣 🌟 Workflow: 1. Pick a reference clip under 15 seconds 2. Convert it to Depth with Depth Anything V2 3. Generate a new character + scene 4. Feed everything into Seedance with the prompt below 🌟 Depth video conversion: You can build a local Depth converter with Codex — prompt in the comments. This goes way beyond trending dances. Martial arts, polearms, and other complex movements can all be transferred cleanly with Depth! Workflow + Prompt below 👇show more

GPT Image 2 + Seedance 2.0 Prompt Share Created... on mitte.ai I used the generic Seedance 2.0 storyboard-to-video prompt again, without any additional details. To get this style, I added an environment reference created in Midjourney. Without that reference image, it generates a stylized 3D version. You can check the prompts in the comments.show more

Happy Horse 1.1 is now live on fal! Generate... video with synchronized native audio and multilingual lip-sync Text to Video, Image to Video and Reference to Video options Up to 9 reference images with 720p and 1080p resolutionsshow more

i am literally creating seedance 2.0 videos for FREE... 5 videos a day for free is an infinite glitch 🤯. only text to video & 10 sec available / no reference to image video -Its from doubaoshow more

How to get UNLIMITED FREE access to Seedance 2.0... Fast 😼 1. Click in your browser’s incognito mode 🕶️ 2. Add “Video Generation (Seedance 2.0):” before your prompt 🎬 3. Image reference uploads are also supported 🖼️ A 10s 720P video consumes 2 video generation credits. There are 10 credits in total, which means you can generate up to 50s of 720P video overall (≧▽≦)🔥show more

Create a short film like this in just 1... minute with GPT Image 2.0 + Seedance 2.0. GPT Image 2.0 can naturally combine multiple photos into one single image, while Seedance 2.0 can use that image as a reference to automatically separate the scenes, generate a coherent video sequence, and add suitable background music. This workflow greatly improves the overall creative efficiency. When using this method, simply provide the merged image as a reference for Seedance 2.0 and briefly describe each scene with a simple prompt. This can significantly increase the success rate of the final video. All of the above was created on GPT Image Prompt: Seedance Prompt:show more

xAI is rolling out support for shareable Imagine templates... on the Grok web. Users can now create custom templates with 3 different options - Photo > Video - Photo > Style Edit - Photo > Edit > Video Additionally, the "Image Reference" template type is also in the works.show more

Previs Workflow: • Upload a reference image to ChatGPT... • Generate storyboard based on the story • Ask ChatGPT to write a Seedance 2.0 video prompt to animate the storyboardshow more

GPT Image 2 Storyboard -> Seedance 2.0 Video Prompt below:

The world's #1 ranked video model is now on... Venice. ByteDance's Seedance 2.0 generates up to 15 seconds of cinematic video with native lip-synced dialogue, synchronized sound effects, and physics-accurate motion. Text-to-video. Image-to-video. Reference-to-video. Examples 🧵show more

Seedance 2.0 got its perfect match on Higgsfield. Grok... Imagine and Seedance 2.0 - xAI's image model paired with the category-leading video model, natively inside the platform. Grok Imagine generates your reference image in 9+ styles, fast. Seedance 2.0 - ranked #1 in image-to-video - takes it further than any other model can. The best results out of Seedance 2.0 start here.show more

OpenArt just launched Seedance 2.0 for Teams and Enterprise... It delivers the kind of camera control, reference depth, and cinematic storytelling most AI video tools still struggle to offer You can use up to 9 image references, 3 videos, and 3 audio files to build multi-shot scenes with far more control than a normal prompt 10 prompts worth saving:show more

🔥 AI video creation is finally evolving beyond basic... motion prompts. Try out Depth Map Control right here: Historically, the hardest part of the process has been maintaining scene consistency: • camera movement • object placement • spatial relationships Thanks to PixVerse Depth Map Control, you can now grab depth data from a reference video and merge it with a fresh image to explore highly directed video generation. The final outcome? Much smoother camera tracking. Highly cohesive visual scenes. It is a powerful workflow that hands creators actual authority over how their AI visuals shift and flow over time. 🎬show more

This is insane! This video was generated using reference... videos and images from Seedance 2.0. I generated it all at once; no gacha required.show more

🤯 I didn’t expect Depth to track rooftop parkour... this cleanly! Used a fast climbing clip as the motion reference, then swapped in a student with twin tails and a backpack on a coastal school rooftop. The running path, wall contact, jumps, landings, and full-body continuity all hold together surprisingly well. 🌟 Workflow: 1. Pick a reference clip under 15 seconds 2. Convert it to Depth with Depth Anything V2 3. Generate a new character + scene 4. Feed everything into Seedance with the prompt below 🌟 Depth video conversion: You can build a local Depth converter with Codex — prompt in the comments. Depth opens up a lot more possibilities for parkour, climbing, martial arts, dance, and other complex full-body motion. Workflow + Prompt below 👇show more

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN... SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.show more