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| title: Wan 2.2 I2V 14B · Custom lora + CivitAI | |
| emoji: 🎬 | |
| colorFrom: indigo | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 6.24.0 | |
| app_file: app.py | |
| pinned: true | |
| short_description: Image to video, your lora + CivitAI, stitching, cost readout | |
| tags: | |
| - video | |
| - image-to-video | |
| - wan | |
| - wan2.2 | |
| - lora | |
| - civitai | |
| - zerogpu | |
| # Wan 2.2 I2V 14B · Custom lora | |
| Turn a still image into smooth cinematic motion, with your own adapters and without guessing what a | |
| run will cost. | |
| ## What is in here | |
| **Your own lora, from anywhere.** Five slots that take a Hugging Face repo, a file inside one, or a | |
| **CivitAI download link** pasted straight into the High or Low box. Wan adapters ship their two | |
| halves as separate files, so each slot has one box for each. Downloads are cached, and a gated | |
| CivitAI model works once `CIVITAI_TOKEN` is set under *Settings → Variables and secrets* — the Space | |
| downloads on its own machine, so a browser session on CivitAI does not authenticate it. | |
| **Built-in lora.** Three preset slots drawing on a curated catalogue, each with its own high and low | |
| strength. | |
| **Fast options.** Speed presets that set the steps, the flow shift and the scheduler in one click, | |
| including the lightx2v Lightning adapters at 4, 6 and 8 steps. The checkpoint is a Lightning merge | |
| already, so *Built-in* is the place to start. | |
| **ZeroGPU cost, before you press the button.** The readout above Generate uses the very formula the | |
| Space reserves with, so heavy settings are visible as a number rather than as a failed run. | |
| **Clip stitching and looping, on the CPU.** Queue several clips and they are joined into one file; | |
| tick the box and every new generation joins on its own. Boomerang loops the whole clip or just its | |
| tail. None of it touches the GPU allowance. | |
| **Named profiles.** Save a whole set-up under a name and bring it back from a dropdown, or export it | |
| as `.json`. | |
| **Frame grabbing.** Pause the result on any frame and send it to the start image or the end image, | |
| so a scene can continue from where it stopped. | |
| ## Notes | |
| * fp8 quantized, AoT compiled, with RIFE interpolation for smoother motion. | |
| * Longer clips reserve more ZeroGPU time; the cost line tells you how much. | |
| * Profiles live inside the Space. With persistent storage attached they survive a restart, and they | |
| are visible to everyone who opens the Space. | |
| Configuration reference: https://huggingface.co/docs/hub/spaces-config-reference | |