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        <title>Generate AI Videos and Images: FLUX.1, Qwen-Image, Wan 2.2, 10+ Models</title>
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        <description>Learn how to infer with public endpoints on Runpod, using both the UI and API requests.  Get started immediately: https://console.runpod.io/hub?tabSelected=public_endpoints This video demonstrates RunPod's public endpoints feature, which simplifies AI model access by eliminating the technical complexity typically associated with serverless deployments. The video explains how users can send API requests to preconfigured endpoints for various AI models and receive results within seconds, without needing to set up workers, define endpoints, or configure environment variables. This relaunch builds upon RunPod's earlier endpoints for models like Stable Diffusion and Llama, but has been restructured to support the newest open source models along with exclusive models not available elsewhere as public endpoints. The video includes practical demonstrations using the FluxDev model for image generation, showing both the web UI interface and direct API integration through Python code. It highlights the predictable pricing structure, which charges per generation rather than per second of GPU time, making costs more transparent for users. Through examples of basic image generation and image-to-video processing, the video illustrates how these public endpoints serve both hobbyists and developers by offering significantly less management overhead than traditional pods or serverless endpoints, while remaining robust enough for production use with extremely predictable inference costs. Available public endpoints at launch: Whisper-V3-Large, Wan 2.2 I2V 720p LoRA, Qwen Image Edit, Qwen Image LoRA, Minimax Speech 02 HD, Qwen3 32B AWQ, Deep Cogito v2 Llama 70B, Seedance 1.0 pro, Seedream 3.0,  Wan 2.2 I2V 720p, Wan 2.2 T2V 720p, FLUX.1 Kontext [dev], Wan 2.1 I2V 720p, Wan 2.1 T2V 720p, FLUX.1 Schnell, FLUX.1 [dev] Music credit: Abandon Planet by HOME</description>
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        <copyright>All rights reserved, unless otherwise specified in the terms specified at https://peer.madiator.cloud/about and potential licenses granted by each content's rightholder.</copyright>
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