--- title: Wire It, Run It, Deploy It: AI Workflows in Gradio description: gr.Workflow is a new Gradio feature that lets developers build AI pipelines as a graph of typed nodes on a drag-and-drop canvas, where every node is runnable... canonical: https://daily.dev/posts/wire-it-run-it-deploy-it-ai-workflows-in-gradio-gqngjc5a8 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Wire It, Run It, Deploy It: AI Workflows in Gradio | daily.dev og:description: gr.Workflow is a new Gradio feature that lets developers build AI pipelines as a graph of typed nodes on a drag-and-drop canvas, where every node is runnable... og:url: https://daily.dev/posts/wire-it-run-it-deploy-it-ai-workflows-in-gradio-gqngjc5a8 og:image: https://api.daily.dev/og/posts/GqNgJC5A8.png og:image:alt: Wire It, Run It, Deploy It: AI Workflows in Gradio og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Wire It, Run It, Deploy It: AI Workflows in Gradio **[Hugging Face](https://daily.dev/sources/huggingface)** · 5 min read · 0 upvotes · 0 comments ## Summary gr.Workflow is a new Gradio feature that lets developers build AI pipelines as a graph of typed nodes on a drag-and-drop canvas, where every node is runnable and every intermediate result visible. The same graph automatically becomes a REST API and can be deployed to Hugging Face Spaces with one command. Example workflows shown include an image editor powered by Qwen-Image-Edit, a media studio chaining FLUX image generation, background removal, text-to-speech, and an LLM title generator, a parallel fan-out image generation demo, a Hugging Face dataset profiler, and a GPU-based video animation node using ZeroGPU and Diffusers. Each output node becomes a named REST endpoint callable via the Gradio client or plain curl. Building a workflow is as simple as wrapping Python functions with gr.Workflow(bind=[...]).launch(). ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is gr.Workflow in Gradio and what does it do? gr.Workflow is a Gradio feature that lets developers describe an AI pipeline as a graph of typed nodes, with Gradio rendering a drag-and-drop canvas where every node is runnable and every intermediate result visible. The same graph automatically becomes a REST API and can be deployed to Hugging Face Spaces with a single command, without extra API setup work. _Building multi-step AI pipelines gets easier to track when you follow releases like gr.Workflow on daily.dev._ ### How do I expose a Gradio workflow's outputs as REST API endpoints? Each output node in a gr.Workflow graph automatically becomes a named REST endpoint based on its label, with no extra work required. You can call these endpoints with the gradio_client Python library using Client(space_name).predict(..., api_name="/endpoint_name"), or reach them directly over plain HTTP with curl against the /gradio_api/call/ path. _Developers wiring up model APIs can follow Gradio's evolving tooling on daily.dev._ ### How can I run a GPU-based model inside a Gradio Space node instead of using an external inference API? An fn node in gr.Workflow is just Python, so it can run a model directly inside the Space on a GPU rather than calling an external service. Decorating the bound function with @spaces.GPU lets ZeroGPU allocate a GPU for that call, run the model, and release it afterward, with gr.Workflow itself needing no knowledge of the GPU setup. _Teams choosing between hosted inference and in-Space GPU execution track these tooling changes on daily.dev._ ## Similar posts on daily.dev - [Rebuilding AUTOMATIC1111 with Gradio Workflow](https://daily.dev/posts/rebuilding-automatic1111-with-gradio-workflow-84ss4qhex) · Hugging Face · 0 upvotes · 0 comments - [Daggr Introduced as an Open-Source Python Library for Inspectable AI Workflows](https://daily.dev/posts/daggr-introduced-as-an-open-source-python-library-for-inspectable-ai-workflows-w5uxajhhs) · InfoQ · 4 upvotes · 0 comments - [How to Use Gradio with Python: A Complete Beginner-to-Advanced Book](https://daily.dev/posts/how-to-use-gradio-with-python-a-complete-beginner-to-advanced-book-7lxenjale) · freeCodeCamp · 3 upvotes · 0 comments --- Tags: [#huggingface](https://daily.dev/tags/huggingface), [#gradio](https://daily.dev/tags/gradio) [View this post on daily.dev](https://daily.dev/posts/wire-it-run-it-deploy-it-ai-workflows-in-gradio-gqngjc5a8) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Wire It, Run It, Deploy It: AI Workflows in Gradio","url":"https://daily.dev/posts/wire-it-run-it-deploy-it-ai-workflows-in-gradio-gqngjc5a8","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/wire-it-run-it-deploy-it-ai-workflows-in-gradio-gqngjc5a8"},"datePublished":"2026-08-25T03:19:30.215Z","dateModified":"2026-08-25T18:55:30.414Z","description":"gr.Workflow is a new Gradio feature that lets developers build AI pipelines as a graph of typed nodes on a drag-and-drop canvas, where every node is runnable...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/84513b76c26be75b8633303ad24d5f82?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/84513b76c26be75b8633303ad24d5f82?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Hugging Face","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Hugging Face","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/f1f55c67d81a4330acf5b90b26b0c8e1","url":"https://daily.dev/sources/huggingface"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/wire-it-run-it-deploy-it-ai-workflows-in-gradio-gqngjc5a8","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"huggingface,gradio","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Hugging Face","item":"https://daily.dev/sources/huggingface"},{"@type":"ListItem","position":3,"name":"Wire It, Run It, Deploy It: AI Workflows in Gradio"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/wire-it-run-it-deploy-it-ai-workflows-in-gradio-gqngjc5a8#faq","mainEntity":[{"@type":"Question","name":"What is gr.Workflow in Gradio and what does it do?","acceptedAnswer":{"@type":"Answer","text":"gr.Workflow is a Gradio feature that lets developers describe an AI pipeline as a graph of typed nodes, with Gradio rendering a drag-and-drop canvas where every node is runnable and every intermediate result visible. 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