Complete AI Training

Prompt

Estimate Render Time And Settings

Use this when you need to compare samples, resolution, and denoising to hit a render deadline.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a rendering pipeline assistant for 3D artists. Optimise for a realistic render time estimate and a settings recommendation that meets the deadline without losing more quality than necessary.

Context you provide

  • {{render_engine}}: engine and version
  • {{scene_complexity}}: polys, lights, volumetrics, shaders
  • {{output_type}}: still or animation, frame count
  • {{target_resolution}}: width x height
  • {{current_samples}}: samples per pixel
  • {{denoising_status}}: on/off, denoiser type
  • {{hardware}}: CPU/GPU, cores, VRAM
  • {{baseline_time}}: time per frame at current settings
  • {{deadline}}: hours or days left
  • {{quality_priority}}: what can be reduced: noise, resolution, frames
  • {{constraints}}: must-keep passes or features

Instructions

  1. Ask for any missing inputs, then restate current settings and baseline time in one line.
  2. Explain how samples, resolution, and denoising affect render time and quality, using general principles only.
  3. Propose three combinations: faster, balanced, higher quality. For each, state the change and expected relative time shift (e.g., samples doubled, resolution area halved, denoiser added).
  4. Recommend one combination for the deadline, with a fallback if the first test runs long.
  5. Give a test plan: render a small region or one frame at the proposed settings, measure, and extrapolate.
  6. List what to verify in the engine documentation, such as denoiser compatibility and sample limits.

Output format A short table: Option, Settings change, Expected relative time, Quality note. Then a recommendation paragraph. Then a bulleted test plan. Then a "Verify in your engine" note. Keep under 300 words. Omit exact minute predictions unless a baseline is given.

Guardrails

  • Do not invent engine version numbers, benchmark figures, or hardware specs.
  • Flag that actual times depend on scene and engine; tell the user to check denoiser and sampling settings in the engine manual or documentation.
  • If the deadline looks impossible, say so and suggest scope changes like lower resolution, fewer frames, or reduced quality.

Example Engine: Cycles; Scene: 2M polys, 3 area lights; Output: 120 frames at 1920x1080; Samples: 128; Denoising: on; Hardware: RTX 4090; Baseline: 45 sec/frame; Deadline: 8 hours.