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Floyo 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. Floyo starts at $12, ThinkDiffusion at $19.99. Only Floyo has a free tier. Only Floyo ships a public API.

FloyoRuns ComfyUI workflows in a browser on rented GPUs, billing separately for edit time and generation time.ThinkDiffusionHosted ComfyUI and Automatic1111 on rented private GPUs

Side by side

FactFloyoThinkDiffusion
CategoryGPU Cloud & ComputeText-to-Image Generators
Pricing modelFreemiumPaid
Starts at$12 seat_month$19.99 month
Public APIYesNo
PlatformsWeb, APIWeb
CompanyFloyoThinkDiffusion Inc.
Launched—2022
Last verifiedSep 1, 2026Sep 6, 2026

What our research says

Floyo

Floyo removes the GPU-ownership barrier to running ComfyUI, which normally requires a local install and a capable graphics card, and adds team and compliance features aimed at studios rather than hobbyists. Published pricing isn't fully consistent across sources, so confirm the actual rate before assuming a number from any single listing.

Pros

  • No local GPU or ComfyUI installation required
  • Editing and building workflows is free — metering applies only to actual GPU generation time
  • Access to a large library of models, custom nodes, and LoRAs
  • Developer API for teams embedding workflows into other tools

Cons

  • Entry pricing shown on the vendor's own site doesn't match figures on third-party listing pages
  • Metered GPU billing makes total monthly cost hard to predict in advance
  • Node-based ComfyUI workflows still require more setup knowledge than a plain text-to-image tool

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 Floyo if you need

  • Creative teams running ComfyUI workflows who don't want to maintain local GPU rigs
  • Studios needing shared credits and compliance controls across several artists

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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