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Floyo vs Comfy Cloud: Full Comparison for Teams (2026)

Last updated: June 2026. We tested both platforms using WAN 2.2 video workflows, Flux image workflows, and custom node-heavy pipelines. Pricing verified from official sources. · Floyo Pricing · Comfy Cloud Pricing

This comparison is for teams and professionals evaluating ComfyUI cloud platforms for production use. If you are a solo hobbyist running simple workflows with default nodes, both platforms will work. The differences below start to matter when you need ComfyUI team collaboration, custom nodes, long renders, API deployment, or enterprise controls.

TLDR Both platforms let you run ComfyUI online without a local GPU. The difference is what comes after that.

Floyo: Team collaboration, hundreds of custom nodes, no runtime limits, workflow-to-API deployment, enterprise access controls. Starts at $12/month with free generation time.

Comfy Cloud: Tighter core editor integration, gets upstream features faster, recently launched API access. But no team features, limited node support, 30-60 min runtime caps. Starts at $20/month, no free tier.

Quick verdict

Category	Winner	Why
Team collaboration	Floyo	Only option with team features
Commercial use clarity	Floyo	Every model tagged for commercial use
Data privacy (Verified Private)	Floyo	Per-model guarantee: won't train on your data
Model and node gating	Floyo	Admins enforce what the team can access
Custom node support	Floyo	Hundreds pre-installed, new ones within 48h
Runtime limits	Floyo	No limit vs 30-60 min cap
API access	Floyo	API to a workflow, not just a model
Pricing (entry)	Floyo ($12/mo)	vs $20/mo, plus free generation time
Core editor integration	Comfy Cloud	Tighter native connection
Core version updates	Comfy Cloud	Gets upstream features faster
GPU VRAM	Tie	94GB (Floyo) vs 96GB (Comfy Cloud)
Creator/monetization tools	Floyo	Creator Page, analytics, gating

Feature comparison

Feature	Floyo	Comfy Cloud
Team collaboration	Shared run history, shared files/models, workflow pages, team dashboard, pooled resources	Not available
Commercial use clarity	Every model tagged for commercial use status in the Trust Center. You know before you run.	Not available
Verified Private (data privacy)	Per-model tag: the provider will not train on your content. Self-hosted open models qualify by default.	Not available
Model and node gating	Admins control which models and nodes the team can access. Block a model and it disappears from the workspace. See how it works.	Not available
Custom nodes	Hundreds pre-installed. New nodes within 48h. Private custom nodes for your org.	Limited approved set. Public wishlist, no timeline.
Runtime limit	No limit	30 min (standard), 60 min (Pro)
API access	Any workflow becomes an HTTP endpoint. API to a workflow, not just a model. Auto-scaling, 100 req/min.	Recently launched. Details on their site.
Workflow sharing	Shared workflows via link. Recipient clicks Run, same environment.	Export JSON, debug dependencies manually
Free tier	15 min free generation time, no credit card	No free tier
Starting price	$12/mo (Explorer, 3.5h)	$20/mo (4,200 credits)
LoRA uploads	All plans. Shared across team.	$35/mo Creator plan+. No sharing.
Concurrent runs	Up to 8 per member	4 max
GPU hardware	NVIDIA H100 NVL, 94GB VRAM	RTX 6000 Pro, 96GB VRAM
Creator tools	Creator Page, collections, password gating, analytics	Not available
Core version updates	Independent release cycle. May lag a few days.	Gets upstream features first.
Core integration	Independent platform	Closest to upstream. Tighter editor connection.

Which platform should I use for a production project with multiple team members?

TLDR Floyo. It is the only ComfyUI cloud platform with real team collaboration: shared run history, shared assets, workflow sharing and pages, and a team dashboard. Comfy Cloud has no way to invite a teammate or share workflows within a team.

For any project involving multiple users, Floyo is the only viable choice right now. Comfy Cloud has no team features. You cannot invite a teammate or manage multiple members on one account.

The core idea: expertise compounds. The people with the most skill pick and configure the right workflows, set them for the team, and everyone else runs them reliably. One expert's judgment scales to the whole team. That only works if the platform supports it.

Floyo's collaborative workspace covers four areas:

Shared run history. Every team member's runs are visible: parameters, inputs, LoRAs, outputs. Open a teammate's run, adjust a setting, re-run. No more "can you send me your settings?" over Slack.
Shared files and models. Upload a LoRA once, everyone uses it. Same with checkpoints, input images, reference videos. No duplicate uploads, no version confusion.
Team Pages. Organize your workflows and pipelines in one place. Any production studio or VFX company needs a single location to store all workflows their team uses, with headings and workflow details. Team Pages let you build that internally, not on a public wiki.
Team usage dashboard. See who is using what and how much. Pooled FloTime, one invoice, centralized management.

Learn more: Floyo 101 for Enterprise and Teams

Real scenario: Art director hands off to junior artist On Floyo: Art director runs the workflow, likes the result. Junior artist opens the run from team history, sees exact parameters and files, adjusts the prompt, re-runs. Done in 2 minutes.

On Comfy Cloud: Art director exports JSON, sends it over Slack. "What input images did you use?" "What LoRAs?" "My version does not have that node." The handoff takes 30 minutes.

What happens when my workflow needs a custom node?

TLDR Floyo has hundreds of custom nodes pre-installed. Request a new one and it ships within 48 hours. Comfy Cloud supports a limited approved set only. Most community workflows will not run on Comfy Cloud.

This is where Comfy Cloud's limitations hit hardest. They support a limited set of officially approved nodes only. If your workflow uses anything beyond that, it will not run. You can request nodes through their public wishlist, but there is no timeline.

Floyo takes the opposite approach: hundreds of nodes pre-installed, and new ones added within 48 hours of request. Need a custom node available privately to your workspace? That ships within 48 hours. Enterprise teams can also enforce specific nodes per workspace for compliance.

The bottom line: if it can be done with ComfyUI, it can be done on Floyo. You are betting on the layer, not one model. Every new model that ships makes Floyo more powerful. You will never get stuck on the platform because a node is missing or a model is unavailable. That is a real risk on closed platforms like Runway or Minimax, and it is a risk on Comfy Cloud if your workflow needs anything outside their approved set.

Floyo also has hundreds of models available: open-source models, closed-source frontier models (Google, OpenAI, ByteDance), and support for your own custom-trained models. New models are added continuously. See what is possible in the Star Rifter case study, where the platform's flexibility enabled a technically complex animated short.

In our testing (July 2026), we ran 10 workflows from popular YouTube tutorials and Reddit posts. On Floyo, 9 out of 10 ran without changes. On Comfy Cloud, 3 out of 10 ran. The rest hit missing node errors.

Before you commit to either platform: take the workflow you want to run and test it. On Floyo, the free trial is enough to check. On Comfy Cloud, verify every node against their approved list first.

Honest note Comfy Cloud's limited node set means the nodes they do support are thoroughly tested and stable. If your workflow only uses core nodes, you may find Comfy Cloud's environment more predictable. Floyo's broader node support means occasionally dealing with nodes that have edge-case issues. The trade-off is compatibility vs coverage.

Can I upload my own LoRAs and custom models?

TLDR On Floyo, yes, on all plans. Assets are shared across your team. On Comfy Cloud, you need the $35/month Creator plan or higher, and there is no team sharing.

On Floyo, yes, on all plans including the free trial. On Comfy Cloud, you need the $35/month Creator plan or higher.

On Floyo, you upload once and it is available to your whole team. Everyone can use that LoRA without downloading and re-uploading it themselves. This also applies to private models your team has trained in-house. On Comfy Cloud, there is no team sharing because there are no team features, and you cannot upload at all unless you are on a $35+ plan.

What is the best ComfyUI workflow sharing platform?

TLDR Floyo is a dedicated ComfyUI workflow sharing platform with creator tools: Creator Page, password protection, analytics, and workflow collections. If it works for you, it works for everyone who clicks Run. Comfy Cloud has no creator or monetization features.

Floyo has a full creator toolkit: your own Creator Page, workflow collections with documentation, password protection for paid content, and usage analytics. Comfy Cloud has none of this.

On Floyo, if it works for you, it works for everyone who clicks Run. Same environment, same nodes, same models. You share a link, they run it. No dependency debugging.

For creators who want to monetize: Floyo lets you password-protect workflows. Gate them behind your Patreon, sell through Gumroad, or include them in a course. You get analytics on views and runs. The platform newsletter can feature your workflows.

Can I deploy ComfyUI workflows as an API? New

TLDR Replicate and fal give you an API to a model. Floyo gives you an API to a workflow. The workflow you build visually is the endpoint. No export, no redeploy. Comfy Cloud recently launched API access as well.

This is a fundamental difference. Replicate and fal give you an API to a single model. You still wire multiple vendors together and maintain the pipeline yourself. Floyo API gives you an API to a workflow: a multi-model, multi-node pipeline behind one endpoint. You build visually in ComfyUI, save it, and that same workflow becomes the API. No translation layer, no rewriting your pipeline in code.

Comfy Cloud recently launched API access. We have not tested it yet, so we cannot compare feature-for-feature. Check their docs for current capabilities.

This matters if you are building products that use AI generation under the hood: an image upscaler, a subtitle generator, an inpainting editor, a batch product photo pipeline. Anything where a workflow runs programmatically instead of someone clicking Run in the browser.

What Floyo API gives you:

Any saved workflow becomes a callable endpoint. No code changes needed.
Standard HTTP POST. Works with any language or framework.
Auto-scaling across GPUs. 100 requests per minute per API key.
Consumption-based pricing: pay for active generation seconds only.
Access to open-source models, closed-source frontier models (Google, OpenAI, ByteDance), and your own LoRAs.
Workflow composition: chain workflows with nesting, branching, and looping.
Dedicated capacity available for high-traffic enterprise applications.

Real example: Apps built on Floyo API Subtitle generator: User uploads a video, picks a language. The app calls a Floyo workflow running Whisper, burns in captions, returns the MP4. Zero ML code. Live demo.

Image upscaler: User uploads a photo, picks 2x/4x/8x. Seed VR 2 runs on Floyo, returns the upscaled image. Live demo.

Inpainting editor: User selects an area, describes what they want. Floyo fills it in using a ComfyUI inpainting workflow. Live demo.

Honest note Floyo API is relatively new. If you need a battle-tested API with years of production history, Replicate or fal.ai have longer track records. But those give you an API to a model. Floyo gives you an API to a workflow. If your pipeline chains multiple models and nodes together, that is a real difference.

Can enterprise teams control which models their team can access? New

TLDR On Floyo, enterprise admins can gate specific models: restrict which checkpoints, LoRAs, and nodes are available to team members. Includes permissions, access control, and an audit trail. Comfy Cloud has no team features, so none of this is possible.

On Floyo, yes. Enterprise plans include model gating with granular permissions: you decide which models, checkpoints, LoRAs, and nodes your team can use. Everything else is hidden. Admins can enforce different restrictions for different teams. Floyo provides a full audit trail so you see who accessed what and when. See model management docs.

Every model on the platform is tagged in the Floyo Trust Center: Verified Private (the provider will not train on your content) and Commercial Use (outputs are cleared to ship). Floyo's security and compliance posture has been validated by Amazon (MGM Studios MSA) and Netflix (via Native Foreign). For a senior decision maker, the diligence is already done.

On Comfy Cloud, this is not possible. There is no user management, no access control, no way to keep private models restricted to specific team members.

This matters for organizations with compliance, brand safety, or IP concerns. You might not want junior artists using NSFW-capable models on company infrastructure. You might have licensed a specific model that only approved team members should access. You might have proprietary LoRAs that contractors should not see. Certain teams may need strict enforcement while others can have open access.

For regulated industries (healthcare, finance, defense) and any business using ComfyUI for commercial use, this kind of access control is a procurement requirement, not a nice-to-have.

Does Floyo or Comfy Cloud have better GPU hardware?

TLDR Effectively a tie. Floyo: NVIDIA H100 NVL, 94GB VRAM, 3.9 TB/s bandwidth. Comfy Cloud: RTX 6000 Pro, 96GB VRAM, 1.5 TB/s bandwidth. The H100 has faster memory bandwidth. The RTX 6000 Pro has slightly more VRAM. For most workflows, the difference is negligible.

Both platforms have high-end hardware. Floyo runs NVIDIA H100 NVL GPUs (94GB VRAM, 3.9 TB/s bandwidth). Comfy Cloud runs RTX 6000 Pro GPUs (96GB VRAM, 1.5 TB/s bandwidth).

The H100 has significantly faster memory bandwidth, which helps with large batch sizes and video generation. The RTX 6000 Pro has 2GB more VRAM. For most workflows, you will not notice the difference.

Hardware specs do not help if the platform cannot run your workflow. Check node compatibility first, then worry about GPU speed.

ComfyUI pricing: How much does Floyo cost compared to Comfy Cloud?

TLDR Floyo starts at $12/month (Explorer, 3.5 hours) with a free trial. Comfy Cloud starts at $20/month with no free option. Floyo charges by generation hours. Comfy Cloud charges by credits.

Floyo starts at $12/month (Explorer plan) with a free trial. Comfy Cloud starts at $20/month with no free option.

Floyo pricing:

Plan	Price	FloTime	Team	Storage
Free	$0	15 min generation time	1	10GB
Explorer	$12/mo	3.5 hr/mo	Up to 5	20GB
Pathfinder	$28/mo	10 hr/mo	Up to 10	100GB
Trailblazer	$56/mo	22 hr/mo	Up to 10	200GB
Enterprise	Custom	Usage-based	Unlimited	Custom

All paid plans include Flex FloTime top-ups at $7/hour. Annual billing saves 20%.

Comfy Cloud uses credits instead of generation hours. The $20/month plan includes 4,200 credits, which they say equals roughly 380 five-second WAN 2.2 videos.

One difference: Comfy Cloud credits cover both generation and third-party API calls in one wallet. Floyo has a separate Partner Nodes credit wallet for closed-source model APIs, with free credits on each plan ($0.75 on free, $5-$15 on paid plans).

Honest note Comparing price-per-generation between platforms is tricky because Floyo uses time and Comfy Cloud uses credits. The best way to compare: run the same workflow on both platforms during a trial/evaluation and see how far your budget goes. Floyo's free trial makes this possible without spending anything.

What does Comfy Cloud do well?

This is a Floyo page, so we want to be upfront about where Comfy Cloud has genuine strengths:

Closest to upstream ComfyUI. When ComfyUI gets a new core feature, Comfy Cloud tends to have it first. Floyo sometimes lags behind by a few days.
Tighter editor integration. The connection between the editor and the cloud feels seamless and native.
Curated node stability. Their limited node set means the nodes they do support are thoroughly tested. If your workflow only uses core nodes, you may encounter fewer edge-case issues on Comfy Cloud than on a platform with 300+ community nodes.
Unified credit system. One wallet for generation and API node costs. Simpler to track if you use third-party API nodes heavily.
Recently launched API access. They now offer API capabilities. We have not tested it yet, but it broadens what you can do on their platform.

For solo users running short, standard-node workflows who want tight editor integration, Comfy Cloud is a reasonable choice.

Should I use Floyo or Comfy Cloud?

Use Floyo if:

You work with a team, even one other person
Your workflows use custom nodes beyond the basic defaults
You do video generation or complex rendering that might exceed 30 minutes
You want to build apps or tools on top of your workflows (API)
Your enterprise needs to control which models your team can access
You are a creator who shares or sells workflows
You are new to ComfyUI and want hundreds of ready-to-run workflows without editing nodes

Use Comfy Cloud if:

You work solo and do not need collaboration
Your workflows only use core/officially approved nodes
Your workflows consistently finish under 30 minutes
You want the tightest native editor integration
You prefer a curated, stable node environment over broad compatibility

Frequently asked questions

Which ComfyUI cloud platform should I choose for my animation studio?
Floyo. Animation studios need team collaboration, long runtimes for video renders, and broad node support. Comfy Cloud has no team features, 30-60 minute caps, and limited nodes.

Does Floyo have an API for ComfyUI workflows?
Yes. Any saved workflow becomes an HTTP endpoint via Floyo API. Standard POST requests, auto-scaling, 100 req/min, consumption-based pricing. Comfy Cloud recently launched API access as well, though Floyo's API has been in production longer with live apps already running on it.

Can I restrict which AI models my team can use?
On Floyo enterprise plans, yes. Admins gate which checkpoints, LoRAs, and nodes team members can access. Includes user management, permissions, and an audit trail for compliance. Comfy Cloud has no access control features.

Which platform has more custom node support?
Floyo has hundreds pre-installed, with new nodes added within 48 hours. Comfy Cloud supports a limited approved set. Most community workflows will not run on Comfy Cloud without modification.

How much does Floyo cost vs Comfy Cloud?
Floyo starts at $12/month (3.5 hours) with a free trial. Comfy Cloud starts at $20/month with no free option. Floyo uses generation hours. Comfy Cloud uses credits.

Can I use existing workflows from YouTube or Reddit on these platforms?
On Floyo, most community workflows run out of the box (we tested 9/10 in July 2026). On Comfy Cloud, only workflows using their approved nodes will work. Always test before committing.

How do I know which models are cleared for commercial use?
On Floyo, every model is tagged for commercial use status in the Trust Center. You see the tag before you run. Admins can restrict the workspace to only commercially cleared models, so the team never accidentally uses a non-commercial model on a paid project. On Comfy Cloud, there is no model tagging or commercial use verification. You would need to check each model's license yourself.

Will my inputs be used to train AI models?
On Floyo, every model is tagged Verified Private or not. Verified Private means there is a contract with the model provider that prohibits training on your content. Self-hosted open-source models qualify by default because your data never leaves the Floyo environment. On Comfy Cloud, there is no per-model privacy tagging. Check their terms for their general data handling policy.

Can I use ComfyUI for commercial use on these platforms?
ComfyUI itself is open source under the GPL license. On Floyo, commercial use is explicitly supported: every model tagged for commercial-use and data-privacy status, US data residency, compliance validated by Amazon (MGM Studios MSA) and Netflix, and a public Trust Center that verifies every model. On Comfy Cloud, check their terms. Enterprise teams should verify licensing and IP protection before deploying either platform for commercial production.

Is Comfy Cloud better because it has tighter core integration?
It does get upstream features faster and the editor connection is more native. But it lacks team features, has limited node support, and caps runtimes. They recently launched API access, though Floyo's API is more established. Tighter integration does not mean better for production use.

Our recommendation

For teams and production work, Floyo. For solo users with simple workflows and core nodes, Comfy Cloud is reasonable.

If ComfyUI feels complex, think of it this way: the workflow is the car. Most people just drive it. Open a workflow, read the instructions, change the inputs, and run. The node graph is under the hood. Only when you need it to become something else does someone go under the hood. A small number of team members handle that, and their expertise compounds across the whole team.

Start with Floyo's free generation time. Test your workflows, invite a teammate, see if the collaboration features match how you work. 15 minutes of GPU time is enough to make an informed decision.

If you are evaluating Comfy Cloud, verify your workflows first. Check every custom node against their approved list. Run a long workflow to see if you will hit the cap. These constraints are dealbreakers for many teams, and better to discover during evaluation than after you have paid.

Try Floyo free. 15 minutes of GPU time.

Test your workflows, explore team features, run your first generation.

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Last updated: July 2026. Pricing and features verified from official sources. We tested both platforms in July 2026 using WAN 2.2 video workflows, Flux image workflows, and custom node-heavy pipelines.
Floyo Pricing · Comfy Cloud Pricing

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OVERVIEW

Floyo vs Comfy Cloud compared: team collaboration, custom nodes, API, pricing, GPU specs, runtime limits. Both tested June 2026. Honest trade-offs included.