RUNLOCALAIv38
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SYS · ONLINEUPTIME · 100%2026 · operator-owned
RUNLOCALAI · v38
Tasks/Image Generation/Storyboard Generation
Image Generation
storyboard ai
scene sequence

Storyboard Generation

Sequential image generation for film storyboards, comic panels. Consistency across frames is the hard problem.

Setup walkthrough

  1. Install ComfyUI via Stability Matrix.
  2. ComfyUI Manager → Install Models → "flux1-dev" (23 GB) or "sdxl-base" (7 GB) for lighter weight.
  3. Storyboard workflow: you need consistent characters across frames. Two approaches:

Simple: Use a fixed seed + fixed prompt structure. Prompt: "[SHOT 1] Wide shot of detective in office, raining outside, moody lighting" → generate. Change prompt to "[SHOT 2] Close-up of detective's hand on evidence" → same seed.

Advanced: Use IP-Adapter (install via ComfyUI Manager) with a reference image of your character. Each frame: same IP-Adapter → consistent face/clothing.

  1. First storyboard frame in 8-15 seconds (SDXL) or 10-20 seconds (Flux) on 12+ GB GPU. A 6-panel storyboard in 1-3 minutes.
  2. For text annotations on frames: add "Scene 1, INT. OFFICE - DAY" via the prompt itself or overlay in post.

The cheap setup

Used RTX 3060 12 GB ($200-250, see /hardware/rtx-3060-12gb). Runs SDXL for storyboard frames at 8-15 seconds each — a 12-panel storyboard in ~2-3 minutes. IP-Adapter for character consistency adds minimal overhead (uses <1 GB VRAM). Pair with Ryzen 5 5600 + 32 GB DDR4 + 1TB NVMe. Total: ~$390-440. For simple storyboards (stick figure level, layout exploration), even a GTX 1060 6 GB ($60) with SD 1.5 does 3-6 seconds per frame — useful for blocking and composition planning.

The serious setup

Used RTX 3090 24 GB ($700-900, see /hardware/rtx-3090). Runs Flux Dev for high-quality storyboard frames at 10-20 seconds each. Can load multiple LoRAs (character + environment + style) simultaneously for frame-to-frame consistency. For film production storyboarding (50-100 frames/day): the workflow is viable. Total: ~$1,800-2,200. For the absolute fastest iteration: RTX 4090 ($2,000) at 5-8 seconds per Flux frame. Storyboard generation is a throughput problem — more frames = more ideas explored.

Common beginner mistake

The mistake: Generating each storyboard frame with a new random seed, getting a different "actor" and lighting style in every panel. Why it fails: Random seeds are random — each frame is a completely independent generation with different facial features, clothing, and lighting. The storyboard looks like scenes from 6 different movies glued together. The fix: Lock the seed across frames. Use {$seed:12345} in ComfyUI for all panels. The same seed + same model produces consistent style. Then vary the prompt for content while the seed maintains visual coherence. For character consistency: use IP-Adapter with a reference image. For environment consistency: use ControlNet depth/canny with a 3D blockout render as input for each frame.

Recommended setup for storyboard generation

Recommended hardware
Best GPU for Stable Diffusion + image gen →
Compute-bound workload — VRAM + FP16 TFLOPS both matter.
Recommended runtimes

Browse all tools for runtimes that fit this workload.

Budget build
AI PC under $1,000 →
Best GPU for this task
Best GPU for Stable Diffusion + image gen →

Reality check

Image gen is compute-bound, not bandwidth-bound. VRAM matters for the resolution + LoRA training stack, but FP16 TFLOPS is what decides Flux throughput. The 5080's compute advantage over 5070 Ti shows here in ways it doesn't on LLM inference.

Common mistakes

  • Buying for VRAM ceiling without checking compute (16 GB Flux Dev FP16 doesn't fit anyway)
  • Skipping LoRA training requirements (24 GB minimum, 32 GB comfortable for Flux)
  • Underestimating ComfyUI's multi-model VRAM appetite vs A1111's single-pipeline
  • Using Q4 quantized image models — quality drop is more visible than on LLMs

What breaks first

The errors most operators hit when running storyboard generation locally. Each links to a diagnose+fix walkthrough.

  • CUDA out of memory →
  • Model keeps crashing →
  • ComfyUI stuck loading →
  • Quantization quality loss →

Before you buy

Verify your specific hardware can handle storyboard generation before committing money.

  • Will it run on my hardware? →
  • Custom compatibility check →
  • GPU recommender (4 questions) →

Related tasks

Comic Generation
Buyer guides
  • Best GPU for local AI →
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  • Will it run on my hardware? →
Compare hardware
  • Curated head-to-heads →
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  • RTX 4090 vs RTX 5090 →
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Troubleshooting
  • CUDA out of memory →
  • Ollama running slowly →
  • ROCm not detected →
  • Model keeps crashing →
Specialized buyer guides
  • GPU for ComfyUI (image-gen) →
  • GPU for KoboldCpp (RP/long-context) →
  • GPU for AI agents →
  • GPU for local OCR →
  • GPU for voice cloning →
  • Upgrade from RTX 3060 →
  • Beginner setup →
  • AI PC for students →
Updated 2026 roundup
  • Best free local AI tools (2026) →