# ComfyDeploy vs Stable Diffusion API

ComfyDeploy records 9,609 monthly visits with -48.2% month-over-month growth and Contact for Pricing pricing. Stable Diffusion API records 26,802 monthly visits with -21.8% growth and Paid pricing.

| Metric | [ComfyDeploy](https://openaitools.app/tool/comfy-deploy) | [Stable Diffusion API](https://openaitools.app/tool/stablediffusion-api) |
| :--- | :--- | :--- |
| Website URL | https://www.comfydeploy.com | https://stablediffusionapi.com |
| Categories | AI API, AI Image Generator, AI Workflow | AI API, AI Image Generator, Text to Image, AI Models |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 9,609 | 26,802 |
| MoM Growth Rate | -48.2% | -21.8% |
| Primary Market | United States | United States |
| Direct Visits | 3,788 | 8,529 |
| Review Score | 4.3 | 4.2 |
| Saved Count | 0 | 6 |
| Supported Platforms | Website | Website |

## ComfyDeploy

ComfyDeploy takes the ComfyUI node graph that a creative technologist builds on a laptop and gives it everything it needs to survive in a team and in production. A shared workspace runs identical environments on dedicated cloud GPUs, so any custom node or model installed once is instantly available to everyone, and workflow version history makes it safe to iterate or roll back. Instead of copying JSON files around, teammates open a link and get the exact same environment.

The Playground is where non-technical collaborators come in. By marking certain nodes as inputs and outputs, you get a clean auto-generated interface with sliders, text fields and image uploads — artists, designers and product managers can run even heavy Flux, Qwen-Image or Wan video workflows without ever touching a node. That same workflow definition can then be published as an API endpoint.

The API layer is the production half. Each deployment becomes a versioned endpoint with staged environments from development through staging to production, private S3 integration for real input images, cold-start caching, and GPU capacity that scales with traffic and back down to zero when idle. A JavaScript/Python SDK triggers runs and waits for outputs, so applications can call the workflow like any other service. Pricing is plan-based and quoted on the site after sign-in; contact the team for team and enterprise details.

**Pricing & Plans:** Plan-based with a free tier to get started; team and enterprise plans are arranged through the ComfyDeploy team (contact for pricing).

- **Shared cloud ComfyUI workspace:** Run ComfyUI on dedicated B200, H200, H100, A100 and RTX-class GPUs with any custom node or model pre-installed once for the whole team.
- **Auto-generated Playground UI:** Expose workflow inputs and outputs to get a clean interface with sliders, text fields and image uploads that non-technical teammates can use.
- **One-click production APIs:** Publish any workflow as a versioned, auto-scaling endpoint with dev, staging and production environments and SDK access.
- **Versioning and rollback:** Complete workflow version history lets teams iterate safely and restore a known-good graph in one click.
- **Built-in observability and templates:** Trace deployments and runs, and start from dozens of free ready-made templates for Flux, Qwen-Image and Wan video workflows.

**Strengths:** Removes the GPU setup and dependency-management work that usually blocks ComfyUI from reaching production.; Non-technical stakeholders get a usable interface without learning the node graph.; Workflow versioning and staged environments make changes reversible and reviewable.; Scales to zero when idle and auto-scales under load, so parallel team generation stops being a queue problem.

**Limitations:** Priced for teams and production workloads, so hobbyist users may find it heavier and costlier than a local install.; Cloud deployment means uploading workflows and assets to a third-party platform rather than keeping everything on your own machine.; Full value depends on some familiarity with ComfyUI concepts such as custom nodes and input/output binding.

[Profile (Markdown)](https://openaitools.app/tool/comfy-deploy.md)

## Stable Diffusion API

Stable Diffusion API gives developers a single HTTP endpoint for the whole Stable Diffusion family and a long list of community checkpoints. Instead of provisioning GPUs, installing PyTorch, and keeping model weights in sync, you send a POST request with a prompt, model id and parameters, and receive generated images plus a track id you can poll or receive via webhook. The catalog the site advertises covers SD 1.5, SDXL, Stable Diffusion 3, FLUX.1 dev/Schnell, FLUX.2 dev, Qwen Image, Z-Image Turbo, video models such as Wan 2.2 and LTX Video, and dedicated families like Realistic Vision, Juggernaut XL, Pony Diffusion, DreamShaper and Illustrious XL.

Beyond plain text-to-image, the API exposes image-to-image, inpainting, upscaling, background removal, ControlNet conditioning, LoRA usage and Dreambooth-style model fine-tuning, so a single integration can cover asset generation, product mockups, advertising variants and interior or fashion visuals. Official code samples for cURL, Python and Node are published for each model page, which shortens the time from signup to a first working request.

The platform is now presented as part of ModelsLab: accounts, API keys and billing live in the ModelsLab dashboard, and the site states that API requests are processed at scale with a 99.99% uptime target. Pricing is transparent and outlined on the site, with plans starting at $21 per month and an unlimited open-source tier for high-volume workloads.

**Pricing & Plans:** Paid plans billed through ModelsLab: Basic $21/month (3,250 API calls, 5 parallel generations), Standard $47/month (10,000 calls, 10 parallel generations), and Open Source Unlimited $149/month or $1,500/year (unlimited generations on self-hosted open-source models, 15 parallel generations). Third-party and closed models are billed separately; Enterprise offers dedicated GPUs and custom SLAs. Creating an account is free, but API access requires a paid plan.

- **Unified REST endpoint:** One POST endpoint handles text-to-image, image-to-image and editing jobs across SD 1.5, SDXL, Flux, ControlNet and LoRA models, with cURL, Python and Node samples for each model.
- **Large community model catalog:** Thousands of community checkpoints and LoRAs, including anime, photorealistic and stylized families, are browsable with their parameters and sample code.
- **Async jobs and webhooks:** Requests return a job id or track id so long-running generations can be polled or pushed to your own webhook endpoint instead of blocking the client.
- **Fine-tuning and training:** Dreambooth-style endpoints let you train custom concepts and styles on your own images, then reuse the resulting model ids in generation calls.
- **Scaling controls and enterprise options:** Parallel generation limits grow by plan, and an enterprise tier provides dedicated GPUs with custom SLAs for high-volume production traffic.

**Strengths:** Single API surface for many base models and thousands of community checkpoints; No GPU provisioning, driver or model-weight maintenance on your side; Publishing-ready code samples for cURL, Python and Node per model; Transparent tiered pricing with an unlimited open-source plan and enterprise GPUs

**Limitations:** API access requires a paid subscription; the free account only unlocks the dashboard; Third-party and closed models are billed separately from the unlimited open-source plan; Call quotas are counted per request, so batch-heavy experiments can consume a plan quickly

[Profile (Markdown)](https://openaitools.app/tool/stablediffusion-api.md)

## Frequently Asked Questions

### How do ComfyDeploy and Stable Diffusion API compare in monthly traffic?

ComfyDeploy has 9,609 monthly visits, while Stable Diffusion API has 26,802. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ComfyDeploy has a month-over-month growth rate of -48.2%; Stable Diffusion API has -21.8%.

### How does pricing compare?

ComfyDeploy: Contact for Pricing. Plan-based with a free tier to get started; team and enterprise plans are arranged through the ComfyDeploy team (contact for pricing). Stable Diffusion API: Paid. Paid plans billed through ModelsLab: Basic $21/month (3,250 API calls, 5 parallel generations), Standard $47/month (10,000 calls, 10 parallel generations), and Open Source Unlimited $149/month or $1,500/year (unlimited generations on self-hosted open-source models, 15 parallel generations). Third-party and closed models are billed separately; Enterprise offers dedicated GPUs and custom SLAs. Creating an account is free, but API access requires a paid plan.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 2 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | One API key for hundreds of AI models from every major provider | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 3 | [MiniMax Image-01](https://openaitools.app/tool/minimax-image-01) | 5,253,734 | -13.2% | Contact for Pricing | MiniMax's open-weight model for turning prompts into images | [.md](https://openaitools.app/tool/minimax-image-01.md) |
| 4 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) |
| 5 | [BytePlus](https://openaitools.app/tool/byteplus) | 3,036,127 | -30% | Freemium, Paid | AI-native cloud for building and scaling enterprise AI | [.md](https://openaitools.app/tool/byteplus.md) |
| 6 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 7 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) |
| 8 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) |
| 9 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Run, fine-tune, and deploy machine learning models with one line of code | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 10 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | One OpenAI-compatible API for 500+ image, video, audio, and LLM models | [.md](https://openaitools.app/tool/atlas-cloud.md) |

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Source: https://openaitools.app/compare/comfy-deploy-vs-stablediffusion-api

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