The T2V agent was introduced some time ago, the purpose - To create product video exactly as envisioned by the user, this may have seemed thousands of dollars and multiple rounds of iterations earlier but was now just a prompt away.
It was a great improvement over any experiences I had had before and I found great personal use.
But still, the commercial usage was perhaps not there yet .. the prompt adherence, text accuracy still wasn't quite there especially in complex scientific use cases. Which is why sat on it (mostly) and iterated, until the models reached the perfection and the scaffolding reached the level of satisfaction.
Now everything is improved compared to even few months ago. Today glad to announce the addition o GPT Image 2, latest flagship model by OpenAI to the T2V agent. Extremely high fidelity model can create accurate texts within the image for scientific and technical content as well as enhanced prompt adherance.
Here's a few shorts style vertical clip demoes using GPT Image 2 and 3 different image to video model settings, created in 1-shot with Vidgenie T2V agent.
GPT Image 2 + VEO3 I2V
Prompt "Create a vertical technical video titled "Differentiable Physics: Simulations That Can Learn" in a sleek scientific-computing style with crisp text. Show a simulation loop where parameters flow into a physics engine, produce output, compare to target, then gradients flow backward. Label key parts "parameters θ", "simulation", "loss", "gradient", and "optimization". Explain visually that differentiable simulators allow models to improve by backpropagating through physical laws. Include stable text: "Physics forward, gradients backward." Use smooth loop animation, vector fields, and compact equation overlays like "∂L/∂θ". Avoid fake equations, messy dashboards, and generic robot imagery."
GPT Image 2 + VEO 3 I2V Fast.
VEO3 I2V fast as setting incurs lesser credits than using VEO3I2V
Create a vertical technical video tutorial titled "The Langlands Program: A Grand Dictionary of Patterns" in an elegant chalkboard-meets-modern infographic style with crisp readable text. Stack two map-like continents vertically: "Galois representations" near the top and "Automorphic forms" near the bottom, connected by glowing bridges labeled "L-functions", "symmetry", "number fields", and "modular forms". Visually explain that Langlands predicts correspondences between arithmetic symmetries and automorphic/analytic structures; include exact text: "Same hidden structure, seen through different languages." Add a compact example box: "Fermat-style equations ↔ modular forms", with supporting labels "elliptic curves over Q", "modular forms", and "shared L-function". Use gentle vertical pan, slow bridge-building animation, and stable text blocks centered in safe margins.
Another great option for clean bright animations is Kling3.0, available via Vidgenie options or settings
GPT Image 2 + Kling 3.0
"Create an epic vertical technical tutorial titled "Causal Inference: The Machine for Counterfactual Worlds". Show a precise cause-effect machine where one real-world event stream enters, then branches into parallel alternate realities: observed outcome, intervention outcome, and counterfactual outcome. Visualize causal graphs, controlled comparisons, confounders, treatment effects, and do-calculus as clean mechanical layers separating correlation from causation. Use cinematic but serious research-lab visuals: glass timelines, branching worlds, arrows, switches, instruments, matched groups, and outcome panels updating in sync. Keep labels minimal, sharp, and accurate where needed. Avoid vague sci-fi portals, fake equations, messy dashboards, and implying correlation automatically means causation."
You can furthermore combine GPT Image 2 with other models such as Seedance 1.5 and Sora2Pro in our T2V agent or API. Create videos tuned exactly to your request, metadata and model settings.
Need custom integrations? Contact us at contact@samsar.one