Animate talking characters with Higgsfield Kling 3.0
Higgsfield
Demo summary
The creator shows how to use the Kling 3.0 model in Higgsfield, uploading a reference image and providing a text-to-video prompt with specific dialogue in quotation marks to animate the characters.
Step-by-step
- Navigate to the Video section and select the Kling 3.0 model.
- Generate a text-to-video prompt in ChatGPT, assigning names or numbers to characters (e.g., 'Strawberry 1' and 'Strawberry 2') to differentiate speakers.
- Copy the prompt text, ensuring you exclude any conversational filler from the AI assistant.
- Paste the prompt into the Higgsfield text prompt field.
- Drag and drop your reference image into the generator.
- Adjust the video length slider based on the amount of dialogue in your script.
- Select your desired resolution (720p or 1080p) and click Generate.
Options
- Use Kling 2.6 instead of 3.0 to save on credit costs (10 credits vs 14 credits).
- Choose 720p resolution for faster generation times.
- Choose 1080p resolution for higher quality at the cost of longer processing.
Watch out for
- You must put the dialogue in quotation marks exactly as you want it spoken word-for-word.
- Do not include the AI assistant's closing remarks when copying the prompt from ChatGPT.
Tips
- Use the same ChatGPT thread used for image generation so the AI maintains context for the video prompt.
- Explicitly define character positions (e.g., 'the strawberry on the left') to help the AI differentiate speakers.
- Use 720p resolution if you are trying to produce content efficiently; it is often sufficient.
- Avoid simply copying scripts from viral videos; use them as a guide for how to structure your own content.
Highlights
“this will create a video relatively fast”
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