Supported AI models and character limits
Filmora pairs different generation engines with specific character limits. These limits depend on whether you use desktop or mobile versions.
Filmora uses different rendering tiers (levels of video processing) that consume credits at distinct speeds. According to Wondershare, standard generation operates under Normal Mode 2.0. Meanwhile, premium workflows connect to external video models such as Google Veo 3.1.
The following table outlines credit consumption rates across different features, based on data published by Wondershare:
| Feature / Model | Credit Cost | Output Delivery |
|---|---|---|
| AI Script Generation | 20 credits | Text script drafted from topic prompt |
| AI Script to Video | 30 credits | Timeline project with stock footage and voice |
| Normal Mode 2.0 | 50 to 450 credits | Text-to-video clip rendering |
| Google Veo 3.1 Engine | 450 credits | High-tier text-to-video generation |
Credit requirements sourced from Wondershare product documentation.
Advanced engines take longer to process than standard stock matching. Choosing standard modes conserves resources when you only need simple drafts. Regarding duration limits, Wondershare does not publish maximum video runtimes for text-to-video creation.
For generation models, Wondershare supports Normal Mode 2.0 and advanced engine models such as Google Veo 3.1.
When it comes to advanced engines like Veo, I tend to stay quite skeptical. The technology is moving so fast that it is becoming hard to tell artificial clips from real ones, which opens the door to scams. Even so, AI is the future whether we like it or not, so I believe it pays to keep up and understand what these models can do.
How do you customize the generated video on the timeline?
Filmora imports the generated assets into a standard multitrack timeline (a workspace with separate tracks for media and audio). This setup allows you to alter every visual and audio element.
According to Wondershare, the system automatically builds a cohesive project. It includes stock video clips, static images, animated subtitles, background music, and synthesized voice audio.
The software creates separate timeline tracks for media, titles, and sound. You can replace an inaccurate stock clip with personal footage without deleting the underlying voice track. You can also retime subtitles, change font styles, and adjust narration pitch.
According to Wondershare, creators can trim individual clips, swap background music tracks, adjust audio levels, and apply visual color filters before final export. According to Wondershare, using AI video generators imports media directly into the standard Filmora timeline.
That manual cleanup on the timeline is where I think AI actually works best. In my view, using AI as an editing helper is great, whereas fully automated videos usually end up looking artificial and stiff. Taking the time to review the cuts and add your own footage is just sound common sense.
Filmora text to video requires paid AI credits
Filmora does not offer unlimited free generation for automated scripts and video synthesis. According to Wondershare, users spend account credits every time they invoke an AI creation tool.
- According to Wondershare, drafting an automated script consumes 20 credits per task.
- Converting that script into a timeline project costs 30 credits.
- When users choose standalone text-to-video generation, Normal Mode 2.0 costs between 50 and 450 credits, according to Wondershare.
- High-end engines like Google Veo 3.1 consume 450 credits per run, according to Wondershare.
Running out of balance requires purchasing extra allowances. According to Wondershare, monthly AI credit plans start at $9.99 for 2,000 credits.
Wondershare notes that 2,000 credits yield roughly 66 videos if you stick strictly to standard Script to Video tasks. Experimenting with premium engines burns through that monthly allowance in five generations.
Ai Lockup’s Filmora 16 AI Mate script-to-video workflow
In a demonstration video, creator Ai Lockup tests an end-to-end production pipeline inside Filmora 16. Ai Lockup uses the software’s conversational AI Mate assistant.
Ai Lockup selects the AI Mate tool to turn a short sentence prompt into a 90-second script. The assistant generates a structured outline containing 14 distinct scenes with dialogue and duration markers.
Ai Lockup then commands the assistant to extract characters, locations, and scene props. This step helps maintain visual continuity (keeping the look of elements consistent from scene to scene).
To produce source assets, Ai Lockup visits the AI Media tab and selects image generation models. Ai Lockup notes support for GPT Image 2, Nano Banana 2, and Wondershare native engines.
Next, Ai Lockup creates character sheets (drawings showing characters from different angles). Ai Lockup then uses Filmora 16’s reference-to-video tool alongside the SeaDance 2.0 model to animate the scenes.
On the timeline, Ai Lockup applies an AI color palette across the clips. This step unifies visual grading (matching colors and lighting) between different shots. For sound design, Ai Lockup uses the built-in smart BGM (background music) generator.
Ai Lockup uses it to compose background music, warning: “You can nail every frame, and if it’s silent, it feels fake.” The entire sequence demonstrates how integrated tools let creators design custom assets. As a result, creators do not need to rely solely on generic stock clips.
