Last updated: July 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 · RunComfy Pricing
Floyo vs RunComfy: Which ComfyUI Cloud Platform Is Right for You?
Floyo and RunComfy are both ComfyUI cloud platforms that let you run ComfyUI online without a local GPU. This comparison covers architecture, team collaboration, ComfyUI API access, GPU tiers, and pricing. The differences start to matter when you need ComfyUI for teams, predictable billing, API deployment, or enterprise controls.
RunComfy gives you a full ComfyUI machine. You pick your GPU tier, manage your own environment, and pay for the session. No monthly commitment. Starts at $0.99/hour.
Both have live API access. Choose Floyo for collaboration and predictable billing. Choose RunComfy for environment control and GPU flexibility.
Quick verdict
| Category | Winner | Why |
|---|---|---|
| Architecture | Floyo | Serverless, no idle billing |
| Team collaboration | Floyo | Only option with team features |
| Custom node breadth | Floyo | Hundreds managed vs self-install |
| API access | Tie | Both live, serverless, auto-scaling |
| Enterprise controls | Floyo | Model gating, audit trail |
| GPU selection | RunComfy | 8 tiers, T4 through H200 |
| VRAM ceiling | RunComfy | 141GB (H200) vs 94GB (H100) |
| Pay-as-you-go flexibility | RunComfy | No monthly commitment needed |
| LoRA training rates | RunComfy | Dedicated Trainer, $4.49/hr H100 |
| Pricing (entry) | Floyo ($12/mo) | Predictable monthly cost + free trial |
| Creator/monetization tools | Floyo | Creator Page, analytics, gating |
| Content ecosystem | RunComfy | Stronger guides, tutorials, node docs |
How do Floyo and RunComfy compare on features?
| Feature | Floyo | RunComfy |
|---|---|---|
| Architecture | Serverless. Instant start, pay only for active generation seconds. | Machine-instance. Select GPU, wait 3-5 min for startup, pay for full session. |
| Team collaboration | Shared run history, shared files/models, workflow pages, team dashboard, pooled resources | Not available. Individual machines only. |
| Custom nodes | Hundreds pre-installed. New nodes within 24h. Enterprise node enforcement per workspace. | ComfyUI-Manager for self-install. Depends on machine environment and dependencies. |
| API access Updated | Floyo API: any workflow becomes an HTTP endpoint. Auto-scaling, 100 req/min, pay-per-generation. | Serverless API with auto-scaling. Deploy from Cloud Save. GPU tier selection. Pay per second. |
| Access control New | Model gating, permissions, user management, audit trail | Not available |
| Free tier | 15 min free generation time, no credit card | Free account, no GPU time included |
| Starting price | $12/mo (Explorer, 3.5h) | $0.99/hr (T4/A4000, pay-as-you-go) |
| GPU hardware | NVIDIA H100 NVL, 94GB VRAM | 8 tiers: T4 (16GB) through H200 (141GB) |
| LoRA uploads | All plans. Shared across team. | Self-service. Individual machine storage. |
| LoRA training | On-platform, H100 NVL. Trained LoRAs shared team-wide. | Dedicated Trainer product. H100 at $4.49/hr, H200 at $5.75/hr. |
| Concurrent runs | Up to 8 per member | One machine at a time (multiple machines possible) |
| Creator tools | Creator Page, collections, password gating, analytics | Not available |
| Workflow sharing | Shared workflows via link. Recipient clicks Run, same environment. | Export JSON or share Cloud Save. Recipient needs own machine. |
| Commercial use | Trust Center: commercial-use warranty, model verification | Check terms. No public verification program. |
| Idle billing | No. Pay only for active generation. | Yes. Full machine session billed including idle time. |
What is the difference between Floyo and RunComfy?
Floyo is a serverless ComfyUI cloud platform. You open a workflow and click Run. No GPU to select, no machine to boot, no idle billing. You pay only for the seconds the GPU is actively processing. Building workflows, adjusting prompts, reviewing outputs: all free.
RunComfy is a machine-instance ComfyUI cloud platform. You select a GPU tier (T4 through H200), start a machine, wait 3-5 minutes for boot, and work inside a full ComfyUI environment. You pay for the entire session. When you are done, you stop the machine.
Most ComfyUI time is not generation time. Building node graphs, writing prompts, downloading models, reviewing outputs: 70-90% of a typical session is non-generation work. On Floyo, that time is free. On RunComfy, you are paying for it.
On RunComfy (A6000): You pay for the full 2 hours at $2.50/hr = $5.00. The 1 hour 35 minutes of non-generation time costs you $3.96 in idle billing.
Which ComfyUI cloud platform is best for teams?
Floyo is the only ComfyUI cloud platform built for teams. RunComfy has no team features: each user operates an isolated machine with individual storage. There is no way to invite a teammate or share assets within a workspace.
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 usage dashboard. See who is using what and how much. Pooled FloTime, one invoice, centralized management.
Learn more: Floyo 101 for Enterprise and Teams
On RunComfy: Art director exports JSON, sends it over Slack. Junior artist starts their own machine, waits for boot, imports the JSON. "What LoRAs did you use?" "My machine doesn't have that node." The handoff takes 30+ minutes and might not reproduce the same result.
What happens when my workflow needs a custom node?
Floyo takes a managed approach: hundreds of nodes pre-installed, tested, and maintained. Request a new one and it ships within 24 hours. Enterprise teams can enforce specific nodes per workspace for compliance. The trade-off is you cannot self-install arbitrary nodes.
RunComfy gives you ComfyUI-Manager, the same tool you would use on a local ComfyUI install. You can install whatever you want. The trade-off is dependency management: installations are tied to your machine instance, and switching GPU tiers or losing a Cloud Save may mean reinstalling.
In our testing (June 2026), we ran 10 community workflows from YouTube and Reddit. On Floyo, 9 out of 10 ran without changes. On RunComfy, 7 out of 10 ran after node installs via ComfyUI-Manager. The remaining 3 had dependency conflicts.
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.
Floyo also has hundreds of models available: open-source, closed-source frontier models (Google, OpenAI, ByteDance), and support for custom-trained models. Both platforms support running ComfyUI online with the full range of popular models like Flux, WAN 2.2, and Qwen Image Edit.
Can I upload my own LoRAs and custom models?
On Floyo, you upload once and it is available to your whole team. Everyone can use that LoRA without downloading and re-uploading. This also applies to private models your team has trained in-house.
On RunComfy, LoRA uploads go to your individual storage. There is no team sharing because there are no team features. RunComfy does support fast model downloads from CivitAI and HuggingFace at up to 25x speed.
LoRA training: Both platforms offer on-platform LoRA training. RunComfy has a dedicated Trainer product with competitive rates: $4.49/hr on H100, $5.75/hr on H200, and $29.99/hr on 8xH100 for large-scale training. Floyo trains on H100 NVL GPUs with trained LoRAs automatically shared team-wide.
What is the best platform for sharing ComfyUI workflows?
Floyo has a full creator toolkit: your own Creator Page, workflow collections with documentation, password protection for paid content, and usage analytics. RunComfy 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.
Does Floyo or RunComfy have a ComfyUI API? Updated
Both Floyo and RunComfy now offer ComfyUI API access for deploying workflows as production endpoints. The distinction matters: platforms like Replicate and fal give you an API to a model. Floyo gives you an API to a workflow. A multi-model, multi-node pipeline behind one endpoint. No translation layer, no rewriting your pipeline in code.
On Floyo, Floyo API turns any saved workflow into an HTTP endpoint automatically. Save a workflow, get an endpoint. Send a POST with your inputs, get the output back. Auto-scaling, 100 requests per minute per API key, consumption-based pricing.
On RunComfy, the serverless API deploys workflows from Cloud Save with auto-scaling, configurable min/max instances, queue management, and pay-per-second billing. You select a GPU tier for each deployment, giving hardware flexibility from T4 through H200.
This matters if you are building products that use ComfyUI cloud GPU generation under the hood: an image upscaler, a subtitle generator, an inpainting editor, a batch product photo pipeline.
Key differences:
- Deployment simplicity: Floyo: save workflow, get endpoint. RunComfy: configure Cloud Save, select GPU, set autoscaling rules, deploy.
- Hardware options: Floyo: H100 NVL only. RunComfy: 8 GPU tiers from T4 to H200. Choose the right GPU for your workload.
- Billing: Both charge per active second. Floyo bills from your existing account. RunComfy bills at the GPU tier's hourly rate.
- Rate limits: Floyo: 100 req/min per API key. RunComfy: configurable queue size and instance count.
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.
Can enterprise teams control which models their team can access? New
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 RunComfy, 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. For regulated industries (healthcare, finance, defense) and any business using ComfyUI for commercial use, this kind of access control is a procurement requirement.
Which ComfyUI cloud platform has better GPU hardware?
Floyo runs NVIDIA H100 NVL GPUs (94GB VRAM, 3.9 TB/s bandwidth). You do not select a GPU. Every workflow runs on the same high-end hardware.
RunComfy offers 8 tiers:
| GPU | VRAM | Pay-as-you-go | Pro rate |
|---|---|---|---|
| T4/A4000 | 16GB | $0.99/hr | $0.79/hr |
| A10G/A5000 | 24GB | $1.75/hr | $1.39/hr |
| A6000 | 48GB | $2.50/hr | $1.99/hr |
| L40S/L40 | 48GB | $2.99/hr | $2.15/hr |
| A100 | 80GB | $4.99/hr | $3.99/hr |
| H100 | 80GB | $7.49/hr | $5.99/hr |
| H200 | 141GB | $9.59/hr | $7.66/hr |
RunComfy's H200 has 141GB VRAM: nearly 50% more than Floyo's H100 NVL. For extremely large models or high-batch workflows, this matters. For most standard workflows (Flux, WAN 2.2, Qwen Image Edit), both platforms have more than enough VRAM.
RunComfy's lower tiers are useful for cost-sensitive work. If your workflow runs on a T4, you can pay $0.99/hr instead of a higher rate. The trade-off is longer generation times on weaker hardware.
How much does Floyo cost compared to RunComfy?
Floyo pricing (annual billing):
| Plan | Price | FloTime | Team | Storage |
|---|---|---|---|---|
| Free Trial | $0 | 15 min (one-time) | 1 | 10GB (72hr) |
| 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%. Partner Nodes credits included for closed-source model APIs ($0.75 on free, $5-$15 on paid plans).
RunComfy pricing:
- Pay-as-you-go: $0.99-$9.59/hr depending on GPU tier. No subscription required.
- Pro subscription: $19.99/mo. Includes 20%+ discount on all GPU rates, $10 monthly credit, 200GB permanent storage, 20 CPU hours/month, priority support.
- Trainer: $4.49/hr (H100), $5.75/hr (H200), $29.99/hr (8xH100). Pro discount applies.
- Free tier: Free account creation, but no GPU time included. Must add funds to run workflows.
On RunComfy (A6000, no Pro): If 10 hours of generation means roughly 30 hours of total machine time (building, reviewing, iterating): 30 x $2.50 = $75/mo. With Pro ($19.99/mo + $1.99/hr x 30h): $79.69/mo.
On RunComfy (T4, no Pro): If you can use a T4: 30 x $0.99 = $29.70/mo. Comparable to Floyo's Pathfinder, but on weaker hardware with no team features.
What does RunComfy do well?
This is a Floyo page, so we want to be upfront about where RunComfy is a strong ComfyUI cloud alternative:
- Widest GPU selection. 8 tiers from T4 to H200. Match your hardware to your workload and budget. No other ComfyUI cloud platform offers this range.
- True pay-as-you-go. No monthly commitment. Add funds, use them. Good for sporadic or experimental usage where a subscription does not make sense.
- Full ComfyUI environment. ComfyUI-Manager lets you install any node. Configure everything like a local machine. Power users who want total control will prefer this.
- Dedicated LoRA Trainer. Transparent per-hour pricing, GPU tier selection for training (including 8xH100 clusters), and competitive rates. If training is a major part of your workflow, RunComfy's Trainer product is strong.
- Strong content ecosystem. RunComfy has extensive guides, tutorials, troubleshooting content, and node documentation. Their learning resources are excellent for ComfyUI newcomers.
- Use-case landing pages. RunComfy creates dedicated pages for specific creative use cases (logo generators, poster makers, thumbnail tools) that show what ComfyUI can do for specific needs.
- Competitive API offering. Their serverless API is live with auto-scaling, deployment versioning, rollback, and GPU tier selection per deployment.
- H200 GPU availability. 141GB VRAM on the H200 is the highest available on any ComfyUI cloud platform. For extremely large models, this is the only option.
For solo power users who want full control, no monthly commitment, and the ability to choose their GPU tier, RunComfy is a reasonable choice.
Should I use Floyo or RunComfy?
Use Floyo if:
- You work with a team, even one other person
- You want predictable monthly costs without idle billing
- You want instant starts with zero machine management
- You need shared LoRAs, checkpoints, and run history across your team
- 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 managing nodes
- You want a free trial to evaluate before spending anything
Use RunComfy if:
- You want a full, controllable ComfyUI environment with ComfyUI-Manager
- You prefer pay-as-you-go without a monthly subscription
- You want to select your GPU tier (T4 through H200)
- You need H200-level VRAM (141GB) for extremely large models
- LoRA training at dedicated Trainer rates is a major part of your workflow
- You work solo and do not need collaboration features
Which ComfyUI cloud platform should I use for my use case?
Floyo vs RunComfy: Frequently asked questions
Does RunComfy charge for idle time?
Yes. On RunComfy, you pay for the full machine session including time spent building workflows, writing prompts,
downloading models, and reviewing outputs. On Floyo, you pay only for active generation seconds.
Can I self-install custom nodes on Floyo?
No. Floyo has hundreds of nodes pre-installed and managed. You can request new nodes and they are added within 24
hours. On RunComfy, you can self-install any node via ComfyUI-Manager.
Does RunComfy have team collaboration?
No. Each user operates an individual machine. Cloud Save preserves your personal environment, but there is no way to
invite teammates or share assets within a workspace.
Which platform is better for heavy video models (WAN 2.2,
HunyuanVideo)?
Both support them. Floyo runs on H100 NVL (94GB VRAM). RunComfy offers up to H200 (141GB VRAM). For most video
workflows, 94GB is sufficient. If you need maximum VRAM for extremely large models or high batch sizes, RunComfy's H200
has the edge.
Does Floyo have an API for ComfyUI workflows?
Yes. Floyo API turns any saved workflow into an HTTP endpoint. Standard POST requests, auto-scaling, 100 req/min,
consumption-based pricing. Live production apps already running on it.
Does RunComfy have an API?
Yes. RunComfy's serverless API deploys workflows from Cloud Save with auto-scaling, GPU tier selection, deployment
versioning, and pay-per-second billing.
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. RunComfy has no access control features.
How much does Floyo cost vs RunComfy?
Floyo starts at $12/month (3.5 hours of generation time) with a free trial. RunComfy is pay-as-you-go starting at
$0.99/hour on a T4. Different billing models: Floyo charges for generation only, RunComfy charges for full session time
including idle.
Which platform has more custom node support?
Floyo has hundreds pre-installed and managed, with new nodes added within 24 hours. RunComfy lets you self-install any
node via ComfyUI-Manager. Floyo has broader out-of-the-box coverage. RunComfy has more flexibility for power users who
want to install their own.
Which ComfyUI cloud platform should I choose for my animation
studio?
Floyo. Animation studios need team collaboration, shared assets, and predictable billing during long review sessions.
RunComfy has no team features and charges for idle time during creative reviews.
Is Floyo or RunComfy better for beginners?
Floyo. It has hundreds of ready-to-run workflows organized by creative outcome. Click a workflow, click Run, see
results. No GPU selection, no machine management, no node installation. The free trial lets you learn without spending
anything. RunComfy requires GPU selection and machine management, which can be intimidating for newcomers.
Can I use ComfyUI for commercial use on these
platforms?
ComfyUI itself is free for commercial use 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 RunComfy, check their terms.
Enterprise teams should verify licensing and IP protection before deploying either platform.
Is this page biased? (RunComfy vs Floyo)
Yes, this is a Floyo page. We are transparent about that. We have included a "What does RunComfy do well?" section and
honest notes throughout that acknowledge where RunComfy wins. We tested both platforms in June 2026 and verified pricing
from official sources. If you find any inaccuracy, contact us.
Our recommendation: Floyo vs RunComfy
If you are looking for the best ComfyUI cloud platform for teams and production work, use Floyo. If you are a solo power user who wants full environment control and GPU tier selection, RunComfy is a strong ComfyUI cloud alternative.
If you want to run ComfyUI online without managing infrastructure, both platforms work. Floyo is simpler (serverless, instant starts, no GPU selection). RunComfy gives you more control (full environment, 8 GPU tiers, ComfyUI-Manager).
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 RunComfy, add funds and test a workflow on the GPU tier you would actually use. Compare the total session cost (including idle time) against Floyo's generation-only billing. The math varies by workflow and work style.
Try Floyo free. 15 minutes of GPU time. No credit card.
Test your workflows, explore team features, run your first generation.
Start free trial View pricingLast updated: June 2026. Written by the Floyo team. We tested both
ComfyUI cloud platforms in June 2026 using WAN 2.2 video workflows, Flux image workflows, and custom node-heavy
pipelines. Pricing verified from official sources on June 24, 2026.
Floyo Pricing · RunComfy Pricing
Floyo vs RunComfy compared: serverless vs machine-instance ComfyUI cloud platforms. Team collaboration, ComfyUI API, custom nodes, GPU tiers, pricing. Both tested June 2026 with honest trade-offs.