# Replicate AI vs ThinkDiffusion

Replicate AI는 월간 방문 904,038, 전월 대비 성장률 -8.4%, 유료 가격 모델을 기록합니다. ThinkDiffusion는 월간 방문 51,807, 성장률 -14.8%, 무료 체험, 유료 가격 모델을 기록합니다.

| 지표 | [Replicate AI](https://openaitools.app/ko/tool/replicate-ai) | [ThinkDiffusion](https://openaitools.app/ko/tool/thinkdiffusion) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://replicate.com | https://www.thinkdiffusion.com |
| 카테고리 | AI API, AI 모델, AI 개발자 도구, 오픈소스 AI 모델 | AI 아트 생성기, AI Video Generator, 오픈소스 AI 모델 |
| 가격 모델 | 유료 | 무료 체험, 유료 |
| 월간 방문 수 | 904,038 | 51,807 |
| 전월 대비 성장률 | -8.4% | -14.8% |
| 주요 시장 | 미국 | 미국 |
| 직접 방문 | 577,501 | 18,032 |
| 리뷰 점수 | 4.6 | 4.4 |
| 저장 수 | 5 | 5 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## Replicate AI

Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.

**가격 및 요금제:** Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

- **Thousands of models behind one API:** Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.
- **One-line-of-code inference:** Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.
- **Cog packaging and custom deployments:** Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.
- **Model fine-tuning:** Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.
- **Published hardware and inference rates:** Transparent per-second hardware rates across CPU, T4, L40S, A100, H100, and H200 configurations, with committed-spend options for multi-GPU capacity.

**강점:** Very broad model catalog spanning image, video, audio, speech, and LLMs behind one consistent API; Usage-based billing with openly published per-second hardware and per-output model rates; Cog makes it straightforward to package and deploy your own private models; Automatic scaling handles traffic spikes without manual capacity planning

**한계:** Costs are consumption-based and can rise quickly with heavy traffic or always-on private deployments; Private models bill for idle and setup time, not just request processing, unless they are fast-booting fine-tunes; Long-running GPU models can queue on shared public capacity during peak periods; It is an infrastructure layer, so you still need your own prompts, pipelines, and application code

[Profile (Markdown)](https://openaitools.app/ko/tool/replicate-ai.md)

## ThinkDiffusion

ThinkDiffusion is a cloud workspace platform for open-source generative AI. Instead of fighting local installs and GPU shortages, you spin up a private, dedicated machine in about 90 seconds that runs Automatic1111, ComfyUI, Fooocus, Forge and Kohya, along with modern image and video models, and access it from any device including your phone.

**가격 및 요금제:** Free to start with 15 minutes of usage on sign-up. The Hobby tier is pay-as-you-go at standard hourly machine rates with no subscription. TD-PRO is about $29.99 per month month-to-month or $19.99 per month billed yearly, adding $10 in monthly credits, 200 GB storage and 20% discounted machine rates. TD-TEAMS is around $59.99 per month including two members and $20 in monthly credits, and custom quotes cover enterprise, education and studio services.

- **One-click cloud AI art lab:** Launch a private, dedicated GPU machine in roughly 90 seconds with no installs, drivers or local hardware required, and drive it from any device including a phone.
- **A1111, ComfyUI, Fooocus, Forge and Kohya:** Run industry-standard open-source interfaces side by side — Automatic1111, ComfyUI, Fooocus, Forge and Kohya — and launch multiple machines at once for parallel work.
- **Any model or extension, one click:** Pull models, checkpoints, LoRAs, embeddings and textual inversions from Civitai, Hugging Face or your own drive in one click, and add any extensions or custom nodes.
- **Private, persistent workspace:** Each machine is yours alone, with up to 200 GB of persistent private storage, an auto-stop timer, and file access without launching a machine.
- **Teams, education and studio services:** Beyond self-serve workspaces there are packages for teams, education programs for schools and students, and a studio offering full-service generative AI production.

**강점:** Private, dedicated GPU machines with no local installation or hardware to manage; Runs the full open-source toolset: Automatic1111, ComfyUI, Fooocus, Forge and Kohya; Generous persistent storage (up to 200 GB) that survives between sessions; One-click model uploads from Civitai or Hugging Face and free extension installation

**한계:** Pay-as-you-go machine hours can add up quickly for heavy users unless you use the auto-stop timer diligently; The breadth of open-source UIs (A1111, ComfyUI, Forge, Kohya) has a learning curve for newcomers; You need to bring or find your own models, LoRAs and workflows rather than relying on a curated gallery; Annual savings and credits apply mainly to the paid TD-PRO and TD-TEAMS tiers

[Profile (Markdown)](https://openaitools.app/ko/tool/thinkdiffusion.md)

## 자주 묻는 질문

### Replicate AI과(와) ThinkDiffusion의 월간 트래픽은 어떻게 비교되나요?

Replicate AI의 월간 방문 수는 904,038이고, ThinkDiffusion는 51,807입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

Replicate AI의 전월 대비 성장률은 -8.4%이며, ThinkDiffusion는 -14.8%입니다.

### 가격은 어떻게 비교되나요?

Replicate AI: 유료. Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available. ThinkDiffusion: 무료 체험, 유료. Free to start with 15 minutes of usage on sign-up. The Hobby tier is pay-as-you-go at standard hourly machine rates with no subscription. TD-PRO is about $29.99 per month month-to-month or $19.99 per month billed yearly, adding $10 in monthly credits, 200 GB storage and 20% discounted machine rates. TD-TEAMS is around $59.99 per month including two members and $20 in monthly credits, and custom quotes cover enterprise, education and studio services.

## 대안

| # | 도구 이름 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/ko/tool/openrouter-ai) | 19,941,437 | -6.2% | 유료 | 다양한 제공자에 걸쳐 텍스트 및 멀티모달 프롬프트를 라우팅하는 데 탁월하지만, Replicate의 전용 맞춤형 ML 배포 기능은 없습니다. | [.md](https://openaitools.app/ko/tool/openrouter-ai.md) |
| 2 | [fal.ai](https://openaitools.app/ko/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 1,500개 이상의 실전용 생성 미디어 모델을 하나의 API로 | [.md](https://openaitools.app/ko/tool/fal-ai.md) |
| 3 | [Tensor.Art](https://openaitools.app/ko/tool/tensor-art) | 2,618,069 | +9.4% | 무료 | 브라우저에서 무료로 AI 이미지·영상 생성과 모델 호스팅 | [.md](https://openaitools.app/ko/tool/tensor-art.md) |
| 4 | [Together AI](https://openaitools.app/ko/tool/together-ai) | 1,645,930 | +64.9% | 무료+유료, 유료 | 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/ko/tool/together-ai.md) |
| 5 | [Unsloth AI](https://openaitools.app/ko/tool/unsloth-ai) | 887,457 | -17.6% | 무료 | Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video genera | [.md](https://openaitools.app/ko/tool/unsloth-ai.md) |
| 6 | [Atlas Cloud](https://openaitools.app/ko/tool/atlas-cloud) | 777,031 | -16.4% | 유료 | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/ko/tool/atlas-cloud.md) |
| 7 | [Fireworks](https://openaitools.app/ko/tool/fireworks-ai) | 659,687 | +6% | 가격 문의 | 오픈 모델에 대해 뛰어나게 빠른 추론 속도를 제공하지만, Replicate보다 모델 선택 폭이 좁습니다. | [.md](https://openaitools.app/ko/tool/fireworks-ai.md) |
| 8 | [HyperFrames](https://openaitools.app/ko/tool/hyperframes) | 619,467 | +95.8% | 무료 | HTML, CSS, JavaScript로 AI 에이전트가 영상을 만들게 하세요 | [.md](https://openaitools.app/ko/tool/hyperframes.md) |
| 9 | [DeepInfra](https://openaitools.app/ko/tool/deep-infra) | 457,810 | -8.9% | 유료 | 오픈 웨이트 모델 실행 비용이 훨씬 저렴하지만, 고급 맞춤 학습 및 배포 기능은 Replicate에 비해 적습니다. | [.md](https://openaitools.app/ko/tool/deep-infra.md) |
| 10 | [RunComfy — 클라우드 ComfyUI, 고속 GPU 및 서버리스 API](https://openaitools.app/ko/tool/runcomfy) | 364,336 | -8.6% | 가격 문의 | 설치 없이 클라우드에서 네이티브 ComfyUI를 실행하고 고속 GPU와 원클릭 서버리스 API를 활용하세요 | [.md](https://openaitools.app/ko/tool/runcomfy.md) |

---
출처: https://openaitools.app/ko/compare/replicate-ai-vs-thinkdiffusion

More Markdown: [카테고리](https://openaitools.app/ko/categories.md) · [트래픽 순위](https://openaitools.app/ko/rankings.md) · [llms.txt](https://openaitools.app/ko/llms.txt)