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RunDiffusion vs ThinkDiffusion

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. RunDiffusion starts at $10.99, ThinkDiffusion at $19.99. Only RunDiffusion has a free tier. Only RunDiffusion ships a public API.

RunDiffusionCloud sessions for ComfyUI, Automatic1111 and model trainingThinkDiffusionHosted ComfyUI and Automatic1111 on rented private GPUs

Side by side

FactRunDiffusionThinkDiffusion
CategoryText-to-Image GeneratorsText-to-Image Generators
Pricing modelFreemiumPaid
Starts at$10.99 month$19.99 month
Public APIYesNo
PlatformsWeb, APIWeb
CompanyRunnit, Inc.ThinkDiffusion Inc.
Launched20222022
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

RunDiffusion

The pragmatic pick when you want ComfyUI or Automatic1111 running in ten minutes on hardware you do not own and do not want to configure. If you already have a 16GB+ GPU, or you are happy with RunPod's raw containers, everything above that is a convenience premium.

Pros

  • sessions arrive preloaded with models and extensions, removing the worst part of self-hosting
  • covers training as well as generation, which most hosted rivals skip
  • the REST API exposes generations, boards, library and token spend for cost tracking
  • a free daily token allowance lets you try the platform before paying

Cons

  • token metering makes cost per image harder to predict than hourly GPU rental
  • the platform is mid-pivot toward the Runnit board interface, so the classic session product is now one tier among several
  • list prices are permanently displayed as discounted, which obscures the real renewal rate
  • the Photoshop, Miro and Revit plugins are still private beta

ThinkDiffusion

The path of least resistance if you want ComfyUI or A1111 with custom models and no local GPU, and you accept paying by the clock. If you are comfortable with Docker and templates, RunPod does the same job cheaper.

Pros

  • Full unrestricted app environments, not a cut-down wrapper, including custom extensions and nodes
  • One-click model import from Civitai and Hugging Face, plus persistent storage up to 200 GB
  • Dedicated GPU per user, so speed does not vary with other people's load
  • Teams tier with shared workspaces and per-workspace file systems

Cons

  • Hourly billing means idle browser tabs cost real money
  • Meaningfully more expensive per GPU-hour than raw providers like RunPod
  • No API, so it cannot back a production pipeline
  • Storage above the plan default is an additional monthly line item

Which one fits

Choose RunDiffusion if you need

  • running ComfyUI or Automatic1111 from a laptop with no usable GPU
  • training LoRAs and checkpoints through Kohya without a local setup
  • small teams who want a shared preloaded model library instead of everyone downloading weights

Choose ThinkDiffusion if you need

  • Artists on a laptop who need ComfyUI workflows with their own checkpoints and LoRAs
  • Training a LoRA via Kohya without building a CUDA environment
  • Studios that want per-user isolated machines instead of a shared account

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