# Stable Horde vs Stable Diffusion API

Stable Horde records 103,752 monthly visits with +176.5% month-over-month growth and Free pricing. Stable Diffusion API records 26,802 monthly visits with -21.8% growth and Paid pricing.

| Metric | [Stable Horde](https://openaitools.app/tool/stable-horde) | [Stable Diffusion API](https://openaitools.app/tool/stablediffusion-api) |
| :--- | :--- | :--- |
| Website URL | https://stablehorde.net | https://stablediffusionapi.com |
| Categories | AI Image Generator, AI Text Generator, AI API, AI Developer Tools | AI API, AI Image Generator, Text to Image, AI Models |
| Pricing Model | Free | Paid |
| Monthly Visits | 103,752 | 26,802 |
| MoM Growth Rate | +176.5% | -21.8% |
| Primary Market | United States | United States |
| Direct Visits | 31,529 | 8,529 |
| Review Score | 4.6 | 4.2 |
| Saved Count | 2 | 6 |
| Supported Platforms | Website | Website |

## Stable Horde

Stable Horde works on a contribute-and-consume model. Volunteers run workers on their own GPUs, and those machines become the compute pool for everyone else. Users submit prompts through the browser interface or the REST API, and the horde routes the job to available workers, returning generated images or text. Because the hardware is donated, generation is free rather than metered per image.

The project is explicitly open source and non-profit oriented: it is run by Haidra, a volunteer-run organisation, and funded by public donations plus NLnet / NGI0 Core. Multiple model families are available on the image side, including Stable Diffusion XL variants, Juggernaut XL, DreamShaper XL, Stable Cascade, Cheyenne and Flux.1-Schnell, alongside text generation. There is also an "alchemy" mode for post-processing work such as upscaling and face fixing.

Alongside generating, users can register accounts, join as workers, transfer and earn kudos (a priority currency earned by contributing compute), and use a broad ecosystem of third-party GUIs, tools and client libraries built on the documented REST API. The horde publishes live status showing workers, queue depth and throughput across image, text and alchemy pipelines.

**Pricing & Plans:** Completely free. Compute is donated by volunteers; there are no paid tiers or per-image fees. Contributing compute earns kudos, which raise your priority in the queue. The project is funded by public donations and NLnet / NGI0 Core.

- **Crowdsourced distributed compute:** Volunteer-run workers on donated GPUs form a shared cluster, so generation costs users nothing.
- **Image, text and alchemy pipelines:** Generate images across multiple Stable Diffusion-family models, generate text, or use alchemy for upscaling and face fixing.
- **Full REST API:** A documented REST API with an ecosystem of third-party GUIs, tools and client libraries for building on the horde.
- **Kudos priority system:** Earn kudos by contributing compute and spend them to move your own requests up the shared queue.
- **Open source and community governed:** Run by the volunteer non-profit Haidra, with public live status, open code and donation-based funding.

**Strengths:** Free to use, with no per-image or subscription charges; Wide choice of image models and text generation under one interface; Documented REST API plus a large third-party tool ecosystem; Open source, non-profit and openly funded

**Limitations:** Queue wait times depend on how busy and how large the volunteer pool is; No SLA or guaranteed capacity since compute is donated; Interface and documentation are aimed more at technical users

[Profile (Markdown)](https://openaitools.app/tool/stable-horde.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 Stable Horde and Stable Diffusion API compare in monthly traffic?

Stable Horde has 103,752 monthly visits, while Stable Diffusion API has 26,802. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Stable Horde has a month-over-month growth rate of +176.5%; Stable Diffusion API has -21.8%.

### How does pricing compare?

Stable Horde: Free. Completely free. Compute is donated by volunteers; there are no paid tiers or per-image fees. Contributing compute earns kudos, which raise your priority in the queue. The project is funded by public donations and NLnet / NGI0 Core. 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 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) |
| 10 | [MuAPI](https://openaitools.app/tool/muapi) | 412,788 | +13.7% | Freemium | One API for every generative image, video and audio model | [.md](https://openaitools.app/tool/muapi.md) |

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Source: https://openaitools.app/compare/stable-horde-vs-stablediffusion-api

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