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Stable Video Diffusion
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Stable Video Diffusion 1.1
SOTA
API
Amplify human intelligence with open-source AI models
Most popular alternative: D-ID (1,462 saves)
By unverified author Claim this AI
Stable Video Diffusion is an open-source generative AI model developed by Stability AI. It is the company's first foundation model for generating videos based on the image model Stable Diffusion.
The model is currently in a research preview stage.The code for Stable Video Diffusion is available on Stability AI's GitHub repository, and the weights required to run the model locally can be found on their Hugging Face page.
The model is adaptable to various video applications and can be easily fine-tuned for multi-view synthesis from a single image using multi-view datasets.Stable Video Diffusion offers competitive performance compared to other closed models, as evidenced by external evaluation and user preference studies.It's important to note that at this stage, Stable Video Diffusion is exclusively intended for research purposes and not for real-world or commercial applications.
Feedback on safety and quality is valuable for further refining the model before its eventual release.Stable Video Diffusion is part of Stability AI's diverse range of open-source models, which includes modalities like image, language, audio, 3D, and code.
The company is committed to amplifying human intelligence and regularly updates its models with the latest advancements.To stay updated on Stability AI's progress, users can sign up for the newsletter and explore commercial applications by contacting the company.
Social media platforms like Twitter and Instagram are also available for following Stability AI's updates.
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Releases
Get notified when a new version of Stable Video Diffusion is released
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Feb 8, 2024
Image-to-Video Generation: SVD 1.1 can generate short video clips from a single input image, producing sequences of 14 or 25 frames at customizable frame rates between 3 and 30 frames per second.
Improved Motion Consistency: The model incorporates a motion bucket ID set at 127, enhancing the coherence of motion throughout the generated video, resulting in smoother transitions and more realistic motion portrayal. 
Enhanced Resolution: SVD 1.1 generates videos at a resolution of 1024×576 pixels, providing clearer and more detailed visual outputs. 
Open-Source Accessibility: The model is available on platforms like Hugging Face, allowing users to access, experiment with, and contribute to its development.
Improved Motion Consistency: The model incorporates a motion bucket ID set at 127, enhancing the coherence of motion throughout the generated video, resulting in smoother transitions and more realistic motion portrayal. 
Enhanced Resolution: SVD 1.1 generates videos at a resolution of 1024×576 pixels, providing clearer and more detailed visual outputs. 
Open-Source Accessibility: The model is available on platforms like Hugging Face, allowing users to access, experiment with, and contribute to its development.
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November 21, 2023
Initial release of Stable Video Diffusion.
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Prompts & Results
Character 720-Degree Display
Sanjay Lucas
🛠️ 2 tools
🙏 47 karma
Smooth 720-degree spin showcasing detailed fantasy character in cinematic clarity.
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[Scene_Description_Action] Showcase a detailed fantasy character standing in a clean, neutral environment designed to highlight every detail. The character holds a neutral pose while the camera performs a smooth, continuous 720-degree rotation around them, showing the model from all angles twice for clear viewing. The background should be distraction-free, with a subtle gradient or flat color and optional light floor reflection to ground the scene. Example: An armored knight with glowing runes stands calmly on a soft gray backdrop with a slight floor reflection as the camera circles twice to reveal every angle. [Character_and_Camera_Settings] A richly designed fantasy character such as a warrior, mage, rogue, or creature with armor, robes, weapons, and magical details. Use a smooth, controlled orbital camera move at consistent distance and height. Lighting should be balanced and even to highlight textures and colors without harsh shadows or overexposure. Style should be clear, polished, and professional to emphasize the model’s design. Example: Armored knight with blue glowing runes, soft multi-angle lighting to show metallic textures, even exposure with no blown highlights, smooth orbiting camera capturing every detail.
Creature Summoner Prompt
Burner Cruz
🛠️ 1 tool
🙏 115 karma
Bring your magical world to life with a cinematic fantasy summoning scene. This prompt template helps you design a dramatic moment where a wizard or mage channels powerful energy to call forth a mystical creature. Customize your character’s look, the action of the ritual, the detailed environment, and the camera style to create an immersive, high-quality video with rich fantasy atmosphere.
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Create a cinematic fantasy scene where a powerful magical character performs an intense summoning ritual. The character stands within a mystical environment, channeling energy as glowing glyphs and symbols swirl and ignite around them. The scene builds to a dramatic climax as a creature emerges in a flash of light or swirling magical smoke. Include smooth, dramatic camera moves such as slow pans circling the summoner, close-ups on their focused expression, and dynamic zooms onto magical symbols. Lighting should be moody and mystical with contrasting highlights that emphasize the glowing magic, using strong color accents that match the summoning effect. Style should be richly detailed, evoking classic fantasy art or anime aesthetics with intricate shading and atmospheric depth. Avoid visual artifacts, distortions, flickering frames, unrealistic or broken anatomy, jittery or glitchy motion, duplicate limbs, messy textures, overexposed or underexposed lighting, and unintended props or background elements that break scene consistency. User Input Section: Character Details: Appearance and costume: __________ (Example: "Elder mage in layered dark robes with gold runes and a crystal-crowned staff.") Summoning Action: How they channel the magic: __________ (Example: "Raises staff while chanting as glowing rings of symbols orbit them.") Creature summoned: __________ (Example: "A giant elemental beast emerging in a swirl of fire and smoke.") Scene Description: Environment details: __________ (Example: "Ancient stone circle in a misty forest clearing under a starry sky.") Atmospheric elements: __________ (Example: "Faint rolling fog, floating embers, gently falling leaves.") Camera Language, Lighting, Style: Camera movements: __________ (Example: "Orbiting around the summoner, slow zoom onto glowing symbols.") Lighting style and mood: __________ (Example: "Moody with strong cool blue highlights matching the magical energy.") Art style: __________ (Example: "Detailed anime-inspired shading with high-contrast fantasy colors.")
Book Journey
Yeet Scott
🛠️ 1 tool
🙏 98 karma
Capture the magic of finding hidden literary treasures with this cinematic prompt. Perfect for travel vlogs, book trailers, or storytelling shorts, this setup guides you to create an immersive video of exploring markets, cozy shops, and urban streets in search of that perfect read.
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Subject: A curious, thoughtful reader wandering through bustling streets and charming markets. Dressed casually or with subtle artistic flair, they carry a tote or backpack ready to hold new finds. (Example: "Young reader in rolled-up sleeves and canvas bag, moving with relaxed curiosity.") Action: Exploring stalls and shop aisles, running fingers along spines, picking up old volumes to inspect covers and blurbs. Pausing to sit in small alley cafes, opening pages with quiet wonder, making thoughtful notes or highlighting passages. (Example: "Stopping at a sidewalk stand to scan weathered paperbacks, later sipping coffee while lost in a newly bought novel.") Scene: A vibrant urban environment mixing classic storefronts with narrow lanes, outdoor book markets, and hidden shops stacked with volumes. Include cozy details like hand-painted signs, potted plants, string lights, and old bicycles leaned against walls. (Example: "Narrow European street lined with shops, flickering lanterns, stacks of books spilling onto the sidewalk.") Camera Language, Lighting, Style: Natural handheld feel with subtle shake to convey walking movement. Close-ups on worn covers, slow focus pulls as titles come into view. Wide establishing shots of streets bustling with life. Lighting should use warm, soft daylight with gentle shadows for authenticity. Style should feel documentary-like but romantic, inviting viewers to join in the quiet adventure. (Example: "Handheld following behind as the reader walks, close-up on fingers turning pages in late-afternoon sun.")
Stable Video Diffusion was manually vetted by our editorial team and was first featured on November 26th 2023.
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837,928636v1.6 released 15d agoFree + from $12/mo
Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
28,847395v1.0 released 11mo agoFree + from $35/mo
This team took the time to understand the industry, problem and its users and designed a perfectly engineered solution. Kudos.
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