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Step 4: Character Development. We developed each main character based on historical research, then locked their look using multi-angle reference images. We also finalized a unique prompt for each character and stored it for later use in customGPT training and image generation. Here's an example of an Imagen character prompt:

PJ Ace

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MiniMax H3 Character Board Animation (Bottom Video) & Character Intro Animation (Top Video) First, we create our character board in GPT Image 2 or Seedream 5 using our character reference image. Then, we use that board as a reference in MiniMax H3 to turn it into an animated character board. Also, you can create another character animation with this board. You can find the prompts below.

MiniMax H3 Character Board Animation (Bottom Video) & Character Intro Animation (Top Video) First, we create our character board in GPT Image 2 or Seedream 5 using our character reference image. Then, we use that board as a reference in MiniMax H3 to turn it into an animated character board. Also, you can create another character animation with this board. You can find the prompts below.

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Here's a Veo2 prompt enhancer GPT. Link in thread 🧵 It works well for other GenAI platforms, too! Give it a simple prompt, and it will output an enhanced one. It does this by referencing many high-quality example prompts. It also helps with character consistency.

Here's a Veo2 prompt enhancer GPT. Link in thread 🧵 It works well for other GenAI platforms, too! Give it a simple prompt, and it will output an enhanced one. It does this by referencing many high-quality example prompts. It also helps with character consistency.

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MiniMax H3 Anime with Storyboard Making Omurice I kept the GPT Image 2 prompt for the storyboard extremely simple: "Create a rough sketch omurice-making storyboard with the given character." Even though the storyboard had panel numbers and a couple of small mistakes, H3 didn't have any issues with it. The video prompt was also very simple: "Use the storyboard @[storyboard ref] as sequential shot guidance, not as a static image. Do not treat the storyboard as one image. Follow each panel as a separate beat. Use @[character ref] as the character and visual style reference."

MiniMax H3 Anime with Storyboard Making Omurice I kept the GPT Image 2 prompt for the storyboard extremely simple: "Create a rough sketch omurice-making storyboard with the given character." Even though the storyboard had panel numbers and a couple of small mistakes, H3 didn't have any issues with it. The video prompt was also very simple: "Use the storyboard @[storyboard ref] as sequential shot guidance, not as a static image. Do not treat the storyboard as one image. Follow each panel as a separate beat. Use @[character ref] as the character and visual style reference."

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📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

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AI is wild Chatgpt 2.0 images + Seedance 2.0 tried to generate a red carpet AI video using this custom Sydney Sweeney character sheet. the result looks exactly like "we have sydney sweeney at home" 😭 A Simple Prompt used to test - Use the provided character reference for the facial features and body structure. create a 15 second red carpet multi shot walk with elegant designer wear

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Kōda

32,331 Aufrufe • vor 18 Tagen

MiniMax H3 - Prompt Share Give it a character reference and it turns it into a high-tech digital assembly sequence. You can use parts of the result in your music videos too. Prompt: Use the provided reference as the final character target. Create a short premium cinematic character creation video where the character is built step by step through a high-tech digital assembly process. The sequence should feel fast, intense and visually sophisticated. Show a clear staged progression. Begin with abstract digital fragments, prototype sketches, blueprint-style drawings, construction lines and technical concept sheets appearing in the background. Then gradually assemble the character from the inside out, with limbs, body parts, clothing and facial features forming through scanning passes, holographic layers, wireframes, segmented image fragments, luminous particles and sleek interface elements. Let the arms, legs and other body parts visibly generate in stages, as if engineered by an advanced system. Some moments should show unfinished digital anatomy, partial structures and evolving forms before they lock into the final design. Keep the background alive with passing prototype art, silhouette studies, detail callouts and design variations to reinforce the feeling of a real creation process. The pacing should be rapid and aggressive, with dense motion, layered depth, sharp transitions and constant visual activity, while keeping the character build clearly readable as the main focus. The overall style should feel futuristic, polished, luxurious and cinematic. End with the fully completed character, cleanly revealed and clearly matching the reference.

MiniMax H3 - Prompt Share Give it a character reference and it turns it into a high-tech digital assembly sequence. You can use parts of the result in your music videos too. Prompt: Use the provided reference as the final character target. Create a short premium cinematic character creation video where the character is built step by step through a high-tech digital assembly process. The sequence should feel fast, intense and visually sophisticated. Show a clear staged progression. Begin with abstract digital fragments, prototype sketches, blueprint-style drawings, construction lines and technical concept sheets appearing in the background. Then gradually assemble the character from the inside out, with limbs, body parts, clothing and facial features forming through scanning passes, holographic layers, wireframes, segmented image fragments, luminous particles and sleek interface elements. Let the arms, legs and other body parts visibly generate in stages, as if engineered by an advanced system. Some moments should show unfinished digital anatomy, partial structures and evolving forms before they lock into the final design. Keep the background alive with passing prototype art, silhouette studies, detail callouts and design variations to reinforce the feeling of a real creation process. The pacing should be rapid and aggressive, with dense motion, layered depth, sharp transitions and constant visual activity, while keeping the character build clearly readable as the main focus. The overall style should feel futuristic, polished, luxurious and cinematic. End with the fully completed character, cleanly revealed and clearly matching the reference.

Kōda

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MiniMax H3 is now on Magnific and honestly, there’s a lot you can do with it. You can mix text, images, videos and audio in a single prompt up to 9 images, 3 videos and 3 audio references. Start creating now: It can generate up to 15s of 2K video with synced sound, including voice, music and effects. And you can go beyond generation too: edit clips, remove objects, transfer motion, and control the camera, character and voice. But the multi-reference workflow is probably my favorite. Give it your product, character, environment and motion references, and H3 pulls everything together. It feels like a much easier way to go from an idea to an actual finished video.

MiniMax H3 is now on Magnific and honestly, there’s a lot you can do with it. You can mix text, images, videos and audio in a single prompt up to 9 images, 3 videos and 3 audio references. Start creating now: It can generate up to 15s of 2K video with synced sound, including voice, music and effects. And you can go beyond generation too: edit clips, remove objects, transfer motion, and control the camera, character and voice. But the multi-reference workflow is probably my favorite. Give it your product, character, environment and motion references, and H3 pulls everything together. It feels like a much easier way to go from an idea to an actual finished video.

Kalsoom (ghotai )

47,888 Aufrufe • vor 19 Tagen

i just generated this AI UGC creative for a teeth whitening product in 10 minutes in Higgsfield (you can now generate in 1080p)... here's my workflow: > deploy a research agent to find UGC style videos that promote products like the one you wanna make a creative for > use gemini 2.5 flash to analyze the creative & get a detailed analysis of each scene (get it to add a placeholder for each image reference in your prompt) > use GPT-image 2 in Higgsfield to extract a frame from each cut-scene & use it as a reference for your generation in the prompt wherever there's a placeholder > send the prompt + all the references to Higgsfields video generator & select Seedance 2.5, then generate it > once you have a finished product, take it to a video editor & add captions / cuts / zooms / music

i just generated this AI UGC creative for a teeth whitening product in 10 minutes in Higgsfield (you can now generate in 1080p)... here's my workflow: > deploy a research agent to find UGC style videos that promote products like the one you wanna make a creative for > use gemini 2.5 flash to analyze the creative & get a detailed analysis of each scene (get it to add a placeholder for each image reference in your prompt) > use GPT-image 2 in Higgsfield to extract a frame from each cut-scene & use it as a reference for your generation in the prompt wherever there's a placeholder > send the prompt + all the references to Higgsfields video generator & select Seedance 2.5, then generate it > once you have a finished product, take it to a video editor & add captions / cuts / zooms / music

EP

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Muse Image is now available on Meta Model API and priced for production volumes at $0.01/image. It’s an agentic image model that reasons before it renders. Each call searches the web to refine the output through iterative passes and evaluates the prompt for precise elements like charts and QR codes. Text-to-image, single-image and multi-image editing, and multi-reference composition all live in one model, so there's no multi-step pipeline to stitch together. Start building →

Muse Image is now available on Meta Model API and priced for production volumes at $0.01/image. It’s an agentic image model that reasons before it renders. Each call searches the web to refine the output through iterative passes and evaluates the prompt for precise elements like charts and QR codes. Text-to-image, single-image and multi-image editing, and multi-reference composition all live in one model, so there's no multi-step pipeline to stitch together. Start building →

Meta for Developers

135,988 Aufrufe • vor 13 Tagen

Here's exactly how to create these 3D Animations in under 5 minutes: 1. Generate character with GPT using this prompt: 9X16 image of a 3D hyper-realistic character of (DESIRED CHARACTER), anthropomorphic with a friendly face and large expressive eyes. Unreal Engine 5 render style. Background is a (DESIRED BACKGROUND) 2. Animate the video with VEO 3 3. Clone the entire entire video's voice with elevenlabs and rewrite the entire audio clip and paste it back in with capcut. Thats it, stop wasting money on 3D artists.

Here's exactly how to create these 3D Animations in under 5 minutes: 1. Generate character with GPT using this prompt: 9X16 image of a 3D hyper-realistic character of (DESIRED CHARACTER), anthropomorphic with a friendly face and large expressive eyes. Unreal Engine 5 render style. Background is a (DESIRED BACKGROUND) 2. Animate the video with VEO 3 3. Clone the entire entire video's voice with elevenlabs and rewrite the entire audio clip and paste it back in with capcut. Thats it, stop wasting money on 3D artists.

mtvmald

66,085 Aufrufe • vor 6 Monaten

GPT Image 2 + Seedance 2.0 I used a movement sheet as a reference image to animate the dance. Prompt: Monochromatic grayscale illustration, 3D-rendered character, clean instructional reference sheet. White background, comic-style cell grid layout, technical diagram aesthetic. [LAYOUT] 4×4 grid layout (16 panels total). Each panel separated by thin black border lines. Panels are evenly sized and consistently aligned. Each cell is clearly numbered from 1 to 16. [CHARACTER] (Insert character description) Example: Young female dancer with an athletic build, ponytail hairstyle, wearing a crop top, baggy pants, and sneakers. The same character must appear consistently in all panels. [PANEL STRUCTURE – per cell] Top-left: bold number badge + Korean title text Center: full-body character pose illustration Bottom-left: Korean description text (3–4 lines) Overlay: directional arrows indicating movement flow [ARROWS / MOTION INDICATORS] Curved arrows, straight arrows, and circular rotation indicators. Arrows should be placed around the character to clearly show movement direction and flow. [RENDERING STYLE] Highly detailed 3D sculpted style. Soft studio lighting with subtle shadows. No color — grayscale only. Clean linework, polished finish, game concept art quality. [NEGATIVE PROMPT] No background scenery. No color tones. No additional characters. No cluttered or complex backgrounds.

GPT Image 2 + Seedance 2.0 I used a movement sheet as a reference image to animate the dance. Prompt: Monochromatic grayscale illustration, 3D-rendered character, clean instructional reference sheet. White background, comic-style cell grid layout, technical diagram aesthetic. [LAYOUT] 4×4 grid layout (16 panels total). Each panel separated by thin black border lines. Panels are evenly sized and consistently aligned. Each cell is clearly numbered from 1 to 16. [CHARACTER] (Insert character description) Example: Young female dancer with an athletic build, ponytail hairstyle, wearing a crop top, baggy pants, and sneakers. The same character must appear consistently in all panels. [PANEL STRUCTURE – per cell] Top-left: bold number badge + Korean title text Center: full-body character pose illustration Bottom-left: Korean description text (3–4 lines) Overlay: directional arrows indicating movement flow [ARROWS / MOTION INDICATORS] Curved arrows, straight arrows, and circular rotation indicators. Arrows should be placed around the character to clearly show movement direction and flow. [RENDERING STYLE] Highly detailed 3D sculpted style. Soft studio lighting with subtle shadows. No color — grayscale only. Clean linework, polished finish, game concept art quality. [NEGATIVE PROMPT] No background scenery. No color tones. No additional characters. No cluttered or complex backgrounds.

K

13,813 Aufrufe • vor 4 Monaten

Seedance 2.0 has the most accurate character swap available in my opinion. It's managed to maintain complete scene continuity. I can't see anything else that has changed in the entire scene. It's also maintained accurate camera motion and character movement and just swapped out the character as instructed. The best way to see accuracy is to showcase both clips. All you have to do is upload the video you want to replace the character in as an OMNI Reference and an image of the character to replace them with and type in the following prompt and adjust as needed: Keep the scene the same but just swap the women with the grey shirt with a completely different person, it's the black female in Image1 wearing a dark blue knitted sweater. #CapCutSeedance2 CapCut

Seedance 2.0 has the most accurate character swap available in my opinion. It's managed to maintain complete scene continuity. I can't see anything else that has changed in the entire scene. It's also maintained accurate camera motion and character movement and just swapped out the character as instructed. The best way to see accuracy is to showcase both clips. All you have to do is upload the video you want to replace the character in as an OMNI Reference and an image of the character to replace them with and type in the following prompt and adjust as needed: Keep the scene the same but just swap the women with the grey shirt with a completely different person, it's the black female in Image1 wearing a dark blue knitted sweater. #CapCutSeedance2 CapCut

Travis Davids

23,267 Aufrufe • vor 4 Monaten

Depth video workflows have been getting a lot of attention lately, so I tested one myself. Combined with Seedance 2.0, it produced more natural motion-transfer results than using Kling Motion Control directly. Why use a depth video? 1. It removes the original character and scene details, reducing copyright and sensitive-content risks. 2. It preserves the original motion, timing, and spatial structure. This separates motion extraction from visual generation, allowing you to recreate the movement with better models and any reference character. We’ve also launched a free online tool that converts regular videos into depth videos—no local setup required: In the example below, we converted a dance video from Douyin into a depth video, then regenerated it with a reference character using Seedance 2.0. The original choreography and timing are preserved, while the lighting adapts naturally to the new character and scene.

Depth video workflows have been getting a lot of attention lately, so I tested one myself. Combined with Seedance 2.0, it produced more natural motion-transfer results than using Kling Motion Control directly. Why use a depth video? 1. It removes the original character and scene details, reducing copyright and sensitive-content risks. 2. It preserves the original motion, timing, and spatial structure. This separates motion extraction from visual generation, allowing you to recreate the movement with better models and any reference character. We’ve also launched a free online tool that converts regular videos into depth videos—no local setup required: In the example below, we converted a dance video from Douyin into a depth video, then regenerated it with a reference character using Seedance 2.0. The original choreography and timing are preserved, while the lighting adapts naturally to the new character and scene.

underwood

15,968 Aufrufe • vor 1 Monat

😈 While we are waiting for Seedance 2.0, Kling 3.0 is still an amazing option. Especially Omni mode when working with character. Just generate multiple facial expressions and provide them as reference images. Then make a multi-shot prompt and you will have amazing character consistency. Prompt: shot 1: the devil talking while turning his head giving a side eye. shot 2: extreme close up of the devils eye. he winks. shot 3: extreme close up of the mouth while he turns agry. shot 4: extreme close up of his ear. small hairs are showing. shot 5. the devil sticks out his tongue while saying a licking sound shot 6: zoom out and show the devil standing in hell. Only a silhuette is visible. Link to Spaces below

😈 While we are waiting for Seedance 2.0, Kling 3.0 is still an amazing option. Especially Omni mode when working with character. Just generate multiple facial expressions and provide them as reference images. Then make a multi-shot prompt and you will have amazing character consistency. Prompt: shot 1: the devil talking while turning his head giving a side eye. shot 2: extreme close up of the devils eye. he winks. shot 3: extreme close up of the mouth while he turns agry. shot 4: extreme close up of his ear. small hairs are showing. shot 5. the devil sticks out his tongue while saying a licking sound shot 6: zoom out and show the devil standing in hell. Only a silhuette is visible. Link to Spaces below

Martin LeBlanc

34,681 Aufrufe • vor 6 Monaten