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PictaMotus
Offline Image-to-Video Generator
OFFLINE • FIRST+LAST FRAME • MP4 EXPORT
Generate motion between two images — locally, with controlled prompting

Turn images into video. On your machine.

First + last frame • Positive / negative prompts • Local-only AI

PictaMotus is an AI image-to-video generator that creates intermediate frames between a start image and an end image. You can steer motion and style with a positive prompt and block unwanted artefacts with a negative prompt. Output is saved as MP4 locally, without sending frames or prompts to external servers.

COMMERCIAL USE: FREE
DATA FLOW: OFFLINE
CONTROL: POS/NEG PROMPTS
PLAYBACK: UP TO 30 FPS
MAX AREA: UP TO 1609
Access requirement: PictaMotus is free for commercial use, but it requires a valid license and a password. Contact Virtuo to confirm you are a company or a professional (B2B eligibility) and to receive access credentials.

How it works

  • Choose a first frame (start image) and a last frame (end image).
  • Write prompts: a positive prompt for motion/style, and a negative prompt for what to avoid.
  • Set timing: pick Frames and FPS (up to 30 FPS) for the playback speed.
  • Generate: the model synthesises intermediate frames and writes an MP4 to your output folder.
Core idea: you define the endpoints; the AI invents the in-between — locally.

Controls & prompts

  • Frames: more frames = longer video (constraint: (Frames − 1) ÷ 4 must be an integer).
  • Steps: quality/time trade-off (more steps = slower, usually better).
  • Guidance: how strongly the model follows prompts (typical range: 4.5–6.0).
  • Max Area: internal resolution cap (up to 1609) — affects detail and VRAM usage.
  • Seed: reproducibility when you want the same result again.
Prompts: positive = what you want; negative = what you refuse to see.

Performance modes

  • CUDA (recommended): runs on NVIDIA GPU. Practical baseline is > 16 GB VRAM.
  • CPU fallback: supported, but slow — a few seconds of video can take hours.
  • VRAM optimisations: slicing / tiling and CPU offload can reduce peak memory.
  • Offline by default: once installed and activated, generation does not require internet.
Reality check: if you want predictable throughput, you need CUDA and a serious GPU.

Hardware recommendations

  • Minimum practical: NVIDIA GPU with 64 GB VRAM (CUDA required).
  • Ideal (workstation-grade):
  • NVIDIA RTX PRO 6000 Blackwell Workstation Edition, 96 GB GDDR7 with ECC, Blackwell, Dual-slot, PCIe Gen 5 x16, Full Height, Full Length — HIGHLY RECOMMENDED
  • NVIDIA H100 PCIe, 80 GB HBM3, Hopper, Dual-slot, PCIe Gen 5 x16
  • NVIDIA A100 PCIe (80 GB version), 80 GB HBM2e, Ampere
  • NVIDIA A16 PCIe, 64 GB GDDR6 (4x 16 GB), Ampere, Dual-slot, PCIe Gen 4 x16
CUDA is non-negotiable if you expect this to behave like a tool, not a weekend hobby project.

First launch & access flow

  • First launch: Terms & Conditions must be read to the end before acceptance is enabled.
  • Password required: access is provided after B2B verification via Virtuo.
  • Licenses exist: Trial, Monthly, Annual, and Lifetime.
  • All variants are $0: difference is access window and operational controls, not price.
Intent: controlled distribution and predictable support — not payment.

Responsible use

  • Use frames you own or have explicit permission to use.
  • Don’t impersonate or produce misleading content that could reasonably deceive.
  • Keep work local when confidentiality matters.
  • Validate outputs before publishing: artefacts and unexpected motion can happen.

GUI Preview

Click image to enlarge

PictaMotus GUI preview