Floyo vs RunningHub: Which ComfyUI Platform Should You Use?
A detailed comparison for creative professionals and teams evaluating cloud ComfyUI platforms. Covers collaboration, custom nodes, pricing, API access, GPU hardware, and creator monetization.
Floyo is the only cloud ComfyUI platform built for teams and production work. It has real collaboration, unlimited runtime, and H100 NVL GPUs. RunningHub is a cloud ComfyUI platform for individual creators, with a large library of community workflows, a self-service creator revenue program, and API access. If you work with anyone else, Floyo. If you work solo, RunningHub is an option.
How does Floyo compare to RunningHub?
Floyo is built for teams and production pipelines. RunningHub is built for individual creators. Here is how they compare on the features that matter most.
| Feature | Floyo | RunningHub |
|---|---|---|
| Team collaboration: shared run history | When a teammate runs a workflow, you can open their result, see exact parameters, modify, and re-run. | Not available. |
| Team collaboration: shared files and models | Upload LoRAs and models once, everyone on the team has access. Includes LoRA training (Z Turbo). | Not available. Each user manages files independently. |
| Team collaboration: workflow pages | Organize related workflows into pipeline pages. Your team sees the same structured view. | Not available. |
| Team collaboration: usage dashboard | See GPU consumption across your team. Pooled billing from one subscription. | Not available. Individual accounts only. |
| Custom nodes | 300+ production-tested. New nodes added within 48 hours of request. | Large pre-installed library, updated daily. Broadest community workflow compatibility. |
| Models | Open-source and closed-source models (FLUX, Wan 2.2, Kling, Sora, and more) in unified pipelines. LoRA training included. | Open-source and closed-source models. Closed-source access via Quick Create. |
| GPU hardware | NVIDIA H100 NVL, 94GB VRAM, 3.9 TB/s memory bandwidth | RTX 90 series (24GB and 48GB options). Lower memory bandwidth. |
| Runtime limit | No limit. Workflows run until complete. | Not clearly documented. Pay-per-execution model suggests no hard cap. |
| Pricing model | Monthly subscription tiers with clear per generation hour pricing. Separate API Wallet for closed-source models. | Credit-based (RH coins) for workflows. Separate dollar pricing for API calls. Multiple pricing layers. |
| Starting price | $15/month (3.5 hours FloTime) | ~$10 for credits (subscriber rate). Actual cost per workflow varies by GPU tier. |
| Free tier | 1 hour of generation time, no credit card required | Free daily credits (amount varies, plus signup bonuses) |
| API access | Coming soon | Available now. Per-second billing. Up to 50 concurrent calls. |
| Creator program | Managed creator program with a dedicated account lead. Onboarding support, reports, data, and revenue share. | Self-service creator revenue program. Earnings based on runs, favorites, and originality. Direct bank withdrawal. |
| Job queue | Queue 99 runs and walk away. | Queue available. |
| Workflow sharing | Share link, recipient clicks Run. Same environment, no setup required. | Community library with one-click load and run. AI Apps simplify complex workflows into a few inputs. |
How does team collaboration work on Floyo vs RunningHub?
Floyo is the only cloud ComfyUI platform with real team collaboration. RunningHub has no team features. If you work with two or more people, this is the deciding factor.
RunningHub is built for individual creators. There is no way to invite a teammate, share a workspace, or see what someone else on your team ran.
Floyo built team features as a core part of the platform.
Shared run history: see what your teammates did
When someone on your team runs a workflow, the result shows up in shared history. You can open it, see the exact parameters and inputs, modify it, and re-run. No Slack messages asking "what settings did you use?"
Shared files, models, and LoRAs: upload once, everyone uses them
Your team's custom LoRAs and models live in a shared library. One person uploads, everyone has access. Floyo also supports LoRA training (Z Turbo), so your team can train and share custom LoRAs without leaving the platform.
Workflow pages: organize your pipelines in one place
Build pages that organize related workflows into a coherent pipeline. A "product photography" page might include background removal, relighting, upscaling, and compositing workflows. Your team sees the same organized view.
Team usage dashboard: track who is using what
See GPU consumption across your team in one view. Pooled billing means you manage one subscription, not five individual accounts.
Scenario: Your art director runs a Wan 2.2 video workflow, likes the result. A junior artist opens it from shared run history, sees the exact prompt, model, and settings. Adjusts the prompt, re-runs. Done in two minutes. On RunningHub, the junior artist would need to message the art director, get the workflow JSON, load it into their own workspace, locate the same model, and hope nothing is different in their environment.
What happens when your team tries to use a platform without collaboration?
This is what teams on individual-only platforms deal with every day:
Your designer finds a great workflow. She messages the settings on Slack. Your other designer copies them manually, but uses a slightly different model version. The output looks different. Nobody knows why. An hour of debugging follows. Meanwhile, both people are burning individual credits on separate accounts, and nobody has visibility into total team spend. When the project lead asks "how much did we spend on this client's assets?", nobody can answer.
Floyo was built to eliminate this entire category of problems.
Which platform has better ComfyUI node and model support?
Both platforms have extensive node and model libraries. Floyo has 300+ production-tested nodes with 48-hour turnaround on new requests, plus LoRA training. RunningHub has a large library of community-uploaded workflows. The node and model coverage is comparable.
Both Floyo and RunningHub support the popular models: Stable Diffusion, FLUX, Wan 2.2, LTX, and more. Both support open-source and closed-source models. This is not a meaningful differentiator between the two platforms.
Where they differ is approach. RunningHub has a large community library of pre-built workflows you can load and run or remix. Floyo's 300+ nodes are production-tested to work reliably in the cloud environment. When you need a node that is not pre-installed, request it. It gets added within 48 hours. You are never more than two days from having what you need.
Floyo also includes LoRA training (Z Turbo) on the platform. You can train custom LoRAs and share them across your team without leaving Floyo.
Does Floyo or RunningHub have better GPU hardware?
Floyo runs on NVIDIA H100 NVL GPUs with 94GB VRAM and 3.9 TB/s memory bandwidth. RunningHub uses RTX 90 series GPUs with 24GB or 48GB VRAM. For video generation and complex workflows, the H100 is significantly faster.
The RTX 90 series GPUs on RunningHub are solid cards for image generation. Most standard Stable Diffusion and FLUX workflows run well on them. But video generation models like Wan 2.2, LTX, and HunyuanVideo are memory-hungry. The H100 NVL's 94GB of VRAM and 3.9 TB/s bandwidth handles these workflows without the compromises needed on a 24GB or 48GB card.
If you primarily generate images and your workflows are straightforward, both platforms will feel fast. If you work with video, 3D, or complex multi-model pipelines, the hardware gap matters.
Does Floyo or RunningHub have API access for developers?
RunningHub has API access available now. Floyo's API is coming soon. If you need to integrate ComfyUI workflows into your own application today, RunningHub is the option.
RunningHub's API lets you trigger workflows programmatically, pass inputs, and retrieve outputs. It bills per second with up to 50 concurrent calls. There is a ComfyUI plugin (ComfyUI_RH_APICall) that bridges local ComfyUI setups with RunningHub's cloud execution.
Floyo's API access is under development. When it launches, it will integrate with the team and collaboration features that RunningHub lacks. But today, if API access is a requirement, RunningHub is ahead.
What if I create workflows and want to share or monetize them?
Both platforms have creator revenue programs. RunningHub offers a self-service system. Floyo offers a managed program with a dedicated account lead. The difference is the level of support.
RunningHub's creator program
RunningHub has a self-service creator revenue system. Creators earn based on three factors: how many times users run your workflow, how many times it gets favorited, and how original the content is. Earnings settle weekly. You can withdraw directly to a bank account. Creators can also publish complex workflows as simplified "AI Apps" with a few inputs, making them accessible to non-technical users.
Floyo's creator program
Floyo's creator program is higher-touch. You get a dedicated account lead who onboards you, provides reports and data, and supports your revenue share. You also get a Creator Page with analytics, password protection for Patreon or Gumroad distribution, newsletter features, and workflow collections.
The difference: RunningHub is self-service. You sign up, publish, and earn. Floyo is managed. You get direct support from a person who helps you succeed. Which is better depends on whether you prefer independence or hands-on partnership.
How much does Floyo cost compared to RunningHub?
Floyo uses monthly subscription tiers with clear per generation hour pricing. RunningHub uses a credit-based system (RH coins). Floyo is easier to budget. RunningHub can be cheaper for light, intermittent use.
Floyo pricing
You pick a plan, get a set amount of GPU time (FloTime), and use it when you generate. You only burn FloTime when workflows are actively running on the GPU.
- Free: 1 hour of generation time, any time
- Explorer: $15/month for 3.5 hours
- Pathfinder: $35/month for 10 hours
- Trailblazer: $70/month for 22 hours
Closed-source models (FLUX Pro, Kling, Sora, etc.) use a separate API Wallet, prepaid separately from FloTime.
RunningHub pricing
RunningHub uses RH coins for workflow execution. Subscribers get roughly double the coins per dollar compared to non-subscribers.
- Non-subscriber: ~18,000 RH coins for $10
- Subscriber: ~40,000 RH coins for $10
- Dedicated GPU rental: $149/month (24GB) or $239/month (48GB)
RH coin cost per workflow varies based on complexity and GPU tier. Converting coins to actual cost per generation hour requires some math. RunningHub also has separate dollar-based pricing for API calls.
The honest comparison: both platforms only charge for active generation time, not while you are editing or configuring workflows. RunningHub's credit model can be cheaper for intermittent use. Floyo's subscription model is more predictable and easier to budget for teams. If you need to explain costs to a finance department, a client, or a producer, Floyo's clear per generation hour pricing is simpler.
Should I use Floyo or RunningHub for my ComfyUI workflows?
If you work with a team or plan to scale beyond solo work, Floyo. If you are strictly a solo creator who wants self-service tools and API access, RunningHub.
- You work with a team (2+ people)
- You are a solo professional who may bring on collaborators as projects grow
- You need unlimited workflow runtime
- You do video generation or GPU-intensive work
- You want predictable per generation hour pricing
- You want workflow discovery organized by creative use case
- You want to share workflows that "just work" for recipients
- You run production pipelines with deadlines
- You want a managed creator program with direct support
- You work solo with no plans to collaborate
- You need API access today
- You want a self-service creator revenue system
- You use ComfyUI intermittently and prefer pay-per-execution
- You primarily generate images (not video)
- You want to publish workflows as simplified AI Apps
What do creative professionals ask about Floyo vs RunningHub?
Floyo. It is the only platform with team collaboration, unlimited runtime for video renders, and H100 NVL GPUs with 94GB VRAM for video generation. RunningHub has no team features and uses lower-VRAM GPUs.
Yes, both platforms support video generation workflows. Floyo's H100 NVL GPUs handle these models faster due to higher VRAM (94GB) and memory bandwidth (3.9 TB/s). RunningHub supports them on RTX 90 series GPUs with 24GB or 48GB VRAM.
Yes. Both platforms support loading ComfyUI workflow JSON files. Both have extensive node libraries. On Floyo, if you need a specific node that is not pre-installed, request it and it gets added within 48 hours.
Floyo. Monthly plans with clear per generation hour pricing make costs easy to predict and budget. RunningHub's credit system (RH coins with different rates for subscribers vs. non-subscribers) requires conversion to understand actual costs. Both platforms only charge for active generation time, not while you are editing or configuring.
Floyo supports LoRA uploads on all plans, including the free tier. Uploaded LoRAs are shared across your team. Floyo also has LoRA training (Z Turbo) built into the platform. RunningHub supports LoRA uploads and has model training features as well.
Floyo, for three reasons: H100 NVL GPUs with 94GB VRAM (vs. 24-48GB on RunningHub), no runtime limits for long renders, and team collaboration for production pipelines. RunningHub works for individual video experiments but is not built for production-scale video work.
Both platforms have creator revenue programs. RunningHub offers a self-service system where you earn based on runs, favorites, and originality, with direct bank withdrawal. Floyo offers a managed program with a dedicated account lead who onboards you, provides reports and data, and supports your revenue share. RunningHub is self-service. Floyo is higher-touch.
Start with Floyo. The free tier gives you 1 hour of generation time with no credit card. When you bring on collaborators, the team features are already there. Switching platforms after you have established workflows, uploaded models, and built a pipeline is disruptive. Starting on the right platform is free.
Is Floyo or RunningHub better for your needs?
RunningHub is a cloud ComfyUI platform for individual creators. A large community workflow library, a self-service creator revenue program, and API access make it a solid choice for solo users.
Floyo is the only platform built for teams and production work. Collaboration, unlimited runtime, pipeline organization, H100 NVL GPUs, LoRA training, transparent pricing, and a managed creator program. No other cloud ComfyUI platform offers these features. Floyo is built by the team behind ThinkDiffusion, which has years of experience running cloud GPU infrastructure for creative professionals.
The deciding questions: Do you work with a team? Do you need production-grade infrastructure? Will your projects grow beyond solo work? If the answer to any of these is yes, Floyo is the platform to start on.
Our recommendation: Start with Floyo's free tier (1 hour of generation time, no credit card). If you are strictly a solo creator with no plans to collaborate, try RunningHub's free credits.
Last updated: March 2026. Pricing and features verified from official sources.