# image-to-video Published articles for image-to-video. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Rebuilding AUTOMATIC1111 with Gradio Workflow DevFeed: [Rebuilding AUTOMATIC1111 with Gradio Workflow]() Original publisher: [Read original article]() Author: yuvraj sharma; Abubakar Abid Published: 2026-09-10T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI Development](), [Graphs](), [stable-diffusion](), [Inference](), [Large Language Model](), [hugging face](), [vlm]() Tags: [automatic1111](), [comfyui](), [diffusion](), [flux](), [gradio](), [hugging-face](), [image-to-image](), [image-to-video](), [inference](), [inference-providers](), [llm](), [models](), [python](), [space](), [spaces](), [text-to-image](), [vlm](), [workflow](), [workflows]() ### AI overview A walkthrough of Workflow1111, a Gradio graph that recreates AUTOMATIC1111-style media pipelines with connected operator nodes for image generation, editing, prompting, and related tasks. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC DevFeed: [NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC]() Original publisher: [Read original article]() Author: NVIDIA Writers Published: 2026-09-09T16:00:42Z Content type: release Language: en Sources: [NVIDIA Blog]() Topics: [AI Development](), [GPU](), [SDKs](), [Microservice]() Tags: [ai](), [artificial-intelligence](), [compliance](), [events](), [gpu](), [holoscan-for-media](), [image-to-video](), [media](), [media-and-entertainment](), [microservices](), [news](), [nvidia](), [nvidia-nim](), [pro-graphics](), [real-time](), [sdks](), [streaming](), [synthetic](), [text-to-video](), [video]() ### AI overview NVIDIA announced an expansion of NVIDIA AI for Media at IBC 2026, including GPU-accelerated SDKs and NIM microservices for media workflows. The article highlights Synthetic Video Detector integrations for assessing whether video footage may be AI-generated and for compliance review. ### Source excerpt At the IBC conference, running Sept. 11-14 in Amsterdam, the creative, technology and business communities are coming together to turn ideas into action and discuss innovations across the media and entertainment industries. More than 44,000 attendees from 170+ countries are gathering to explore 1,300+ exhibitions in 14+ halls and outdoor spaces, with over 600 speakers [...] ## AI Gateway now supports asynchronous video generation DevFeed: [AI Gateway now supports asynchronous video generation]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-08-25T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [vercel ai sdk](), [SDKs](), [web applications]() Tags: [ai](), [ai-gateway](), [event](), [generation](), [http](), [image-to-video](), [text-to-video](), [video](), [workflow]() ### AI overview Vercel AI Gateway adds asynchronous video generation through workflow webhooks, direct webhooks, polling, or later retrieval, avoiding long-lived requests that may time out. ### Source excerpt Video generation on AI Gateway can now run asynchronously. By default, generateVideo keeps one HTTP request to AI Gateway open until the result is ready. Because video generation can take seconds or minutes, that request can exceed request timeouts. With asynchronous generation, your application can receive a webhook, poll for completion, or start a generation and retrieve the result in a later request. Choose an option based on whether your process can keep running and whether your application can receive webhooks: Existing generateVideo calls continue to work as before. All four options support text-to-video, image-to-video, reference-to-video, and other video inputs. Upgrade the SDK Install the latest versions of the AI SDK and AI Gateway provider: Use asynchronous video generationWait for completion in a Workflow An easy way to consume the completion webhook is a Workflow SDK. The workflow creates its own webhook URL, passes it to startVideo, and suspends until AI Gateway delivers the completion event. Install the Workflow SDK alongside the AI SDK: While the video renders, the workflow run is suspended and resumes when AI Gateway delivers the terminal event. Use a webhook with generateVideo Pass webhook to generateVideo to wait for a completion event without polling. AI Gateway sends an event when the job completes or fails. The SDK waits for that event, fetches the generated videos, and resolves the original generateVideo call. The calling process and webhook handler need a shared token and store so the delivery can be matched to the correct generation. generateVideo does not expose the signing secret for this job. See the webhook verification documentation for the complete receiver pattern. Both the polling and webhook options for generateVideo return result.videos as GeneratedFile objects. The SDK downloads provider-hosted videos, making uint8Array, base64, and mediaType available in either job. Poll with generateVideo Add poll to an existing generateVideo ca ## Wan 3.0 now available on AI Gateway DevFeed: [Wan 3.0 now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-08-25T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Artificial Intelligence]() Tags: [ai](), [ai-gateway](), [generation](), [image-to-video](), [model](), [models](), [text-to-video](), [video]() ### AI overview Wan 3.0 from Alibaba is now available on Vercel's AI Gateway as alibaba/wan-v3.0-video. The model supports text-to-video, image-to-video, first- and last-frame conditioning, and reference-based generation using images, video, and audio. It can generate clips up to 30 seconds at 30 fps in resolutions up to 1080p with synchronized audio, and supports asynchronous generation through webhooks. ### Source excerpt Wan 3.0 from Alibaba is now available on AI Gateway as alibaba/wan-v3.0-video. Wan 3.0 combines text-to-video, image-to-video, first- and last-frame conditioning, and reference-based generation in one model. References can include images, video, and audio. It generates clips up to 30 seconds at 30 fps in 480p, 720p, or 1080p, with synchronized audio. Previously, Wan 2.7 required separate -t2v and -r2v model IDs and was limited to 15-second clips at 24 fps. Generate a video Wan 3.0 supports asynchronous generation, so no HTTP request needs to remain open for the entire render. Pass a webhook to receive an event when the generation finishes: Learn about asynchronous generation options in the docs, including how to verify webhook deliveries. Add references Pass image, video, or audio references through inputReferences, including the source and media type for each one. Images accept hosted URLs or base64. Video and audio references require hosted URLs. First- and last-frame conditioning accepts one image for each frame and can't be combined with other references. Try Wan 3.0 in the model playground, or browse all video models. Read more ## MiniMax H3 now available on AI Gateway DevFeed: [MiniMax H3 now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-07-30T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [AI, ML & Data Engineering](), [vercel ai sdk](), [SDKs]() Tags: [ai-gateway](), [audio](), [generation](), [image-to-video](), [model](), [multimodal](), [text-to-video](), [video]() ### AI overview MiniMax H3 is available through AI Gateway for 2K video generation from text, images, keyframes, or multimodal reference material. The article describes supported inputs, output settings, and use through the AI SDK. ### Source excerpt MiniMax H3 is now available on AI Gateway. H3 generates 2K video from a text prompt, a starting image, a pair of first and last frames, or reference material. Alongside text-to-video and first-frame image-to-video, the model supports first-to-last keyframe transitions and multimodal reference-to-video, conditioning a generation on reference images, video, or audio in a single request. Reference and keyframe modes are mutually exclusive. Output is mp4 at 2K resolution, from 5 to 15 seconds, in aspect ratios including 21:9, 16:9, 4:3, 1:1, 3:4, and 9:16, or adaptive to a supplied image. To use MiniMax H3, set model to minimax/minimax-h3 in the AI SDK: Pass a starting image with the prompt, and the model animates it following the image's aspect ratio. Supply reference images, video, or audio as source material, and refer to each by its order in the prompt for reference to video output. View all video models on AI Gateway. Try MiniMax H3 in the model playground. Read more ## Seedance 2.0 Video Generation on AI Gateway DevFeed: [Seedance 2.0 Video Generation on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-04-15T08:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Artificial Intelligence](), [vercel ai sdk](), [SDKs](), [multimodal]() Tags: [ai](), [ai-gateway](), [audio](), [cost](), [generation](), [image](), [image-to-video](), [model](), [multimodal](), [playground](), [sdk](), [source](), [speech](), [text-to-video](), [video]() ### AI overview Vercel announces that Bytedance's Seedance 2.0 video generation model is available through AI Gateway in Standard and Fast variants. The model supports text-to-video, image-to-video, multimodal reference-to-video, video editing and extension, synchronized multilingual audio, camera movements, multi-shot composition, and in-video text rendering. ### Source excerpt You can now access Bytedance's latest state-of-the-art video generation model, Seedance 2.0, via AI Gateway with no other provider accounts required. Seedance 2.0 is available on AI Gateway in two variants: Standard and Fast. Both share the same capabilities. Standard produces the highest quality output, while Fast prioritizes generation speed and lower cost. Seedance 2.0 is strong at maintaining motion stability and fine detail across frames, producing consistent output even in complex scenes with facial expressions and physical interactions. The model also generates synchronized audio natively, with support for speech in multiple languages and dialects. Beyond text-to-video and image-to-video, Seedance 2.0 adds multimodal reference-to-video, letting you combine image, video, and audio inputs as reference material in a single generation. It also supports video editing and video extension, along with professional camera movements, multi-shot composition, and in-video text rendering. To use this model, set model to bytedance/seedance-2.0 or bytedance/seedance-2.0-fast in the AI SDK or try it out in the AI Gateway Playground. Text to Video Generate video from a text prompt. Describe the scene, camera movement, and audio for the model to produce. Image to Video Generate video from a starting image. The model animates the image based on the text prompt while preserving the visual content of the source frame. Reference to Video Generate video using image, video, or audio references as source material. You can combine multiple reference types in a single generation to control visual style, motion, and sound. AI Gateway does not charge any markup on video generation: Seedance 2.0 and 2.0 Fast are at the same price as going direct to the Bytedance provider. Learn more about AI Gateway, view the AI Gateway model leaderboard or try it in our model playground. Read more ## Creating with Sora Safely DevFeed: [Creating with Sora Safely]() Original publisher: [Read original article]() Published: 2026-03-23T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [App]() Tags: [ai](), [ai-content](), [generation](), [image-to-video](), [images](), [model](), [safety](), [video](), [voice]() ### AI overview The article describes safety measures built into Sora 2 and the Sora app for AI video generation, including provenance signals, C2PA metadata, watermarks, reverse-image and audio tracing, consent requirements for real-person likeness, stricter safeguards for children, and user controls over character likeness and generated videos. ### Source excerpt To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we've built Sora 2 and the Sora app with safety at the foundation. Our approach is anchored in concrete protections. ## Make your ZeroGPU Spaces go brrr with ahead-of-time compilation DevFeed: [Make your ZeroGPU Spaces go brrr with ahead-of-time compilation]() Original publisher: [Read original article]() Author: Charles Bensimon; Sayak Paul; Linoy Tsaban; Apolinário from multimodal AI art Published: 2025-09-02T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [RAPIDS](), [GPU](), [fly](), [PyTorch](), [quantization](), [Open Source]() Tags: [compilation](), [gpu](), [guide](), [hugging-face](), [image-to-image](), [image-to-video](), [inference](), [latency](), [models](), [optimization](), [python](), [pytorch](), [quantization](), [spaces](), [text-to-image](), [zerogpu]() ### AI overview This tutorial explains how to use PyTorch ahead-of-time compilation in ZeroGPU Spaces. It covers faster model startup and inference, FP8 quantization, dynamic shapes, and the process-based GPU allocation model used by ZeroGPU, with reported speedups of 1.3x-1.8x on Flux, Wan, and LTX models. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science.