codegeex4-all-9b
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Find the right engine for your next idea.
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.video-container { display: flex; flex-wrap: wrap; justify-content: space-around; } .video-item { width: 45%; margin-bottom: 20px; transition: transform 0.3s; } .video-item:hover { transform: scale(1.1); } .caption { text-align: center; margin-top: 10px; font-size: 11px; } A detailed wooden toy ship with intricately carved masts and sails is seen gliding smoothly over a plush, blue carpet that mimics the waves of the sea. The ship's hull is painted a rich brown, with tiny windows. The carpet, soft and textured, provides a perfect backdrop, resembling an oceanic expanse. Surrounding the ship are various other toys and children's items, hinting at a playful environment. The scene captures the innocence and imagination of childhood, with the toy ship's journey symbolizing endless adventures in a whimsical, indoor setting. The camera follows behind a white vintage SUV with a black roof rack as it speeds up a steep dirt road surrounded by pine trees on a steep mountain slope, dust kicks up from it’s tires, the sunlight shines on the SUV as it speeds along the dirt road, casting a warm glow over the scene. The dirt road curves gently into the distance, with no other cars or vehicles in sight. The trees on either side of the road are redwoods, with patches of greenery scattered throughout. The car is seen from the rear following the curve with ease, making it seem as if it is on a rugged drive through the rugged terrain. The dirt road itself is surrounded by steep hills and mountains, with a clear blue sky above with wispy clouds.
.video-container { display: flex; flex-wrap: wrap; justify-content: space-around; } .video-item { width: 45%; margin-bottom: 20px; transition: transform 0.3s; } .video-item:hover { transform: scale(1.1); } .caption { text-align: center; margin-top: 10px; font-size: 11px; } A garden comes to life as a kaleidoscope of butterflies flutters amidst the blossoms, their delicate wings casting shadows on the petals below. In the background, a grand fountain cascades water with a gentle splendor, its rhythmic sound providing a soothing backdrop. Beneath the cool shade of a mature tree, a solitary wooden chair invites solitude and reflection, its smooth surface worn by the touch of countless visitors seeking a moment of tranquility in nature's embrace. A small boy, head bowed and determination etched on his face, sprints through the torrential downpour as lightning crackles and thunder rumbles in the distance. The relentless rain pounds the ground, creating a chaotic dance of water droplets that mirror the dramatic sky's anger. In the far background, the silhouette of a cozy home beckons, a faint beacon of safety and warmth amidst the fierce weather. The scene is one of perseverance and the unyielding spirit of a child braving the elements.
CogVideoX is an open-source video generation model originating from Qingying. The table below presents information related to the video generation models we offer in this version. Model Description Entry-level model, balancing compatibility. Low cost for running and secondary development. Larger model with higher video generation quality and better visual effects. CogVideoX-5B image-to-video version. Inference Precision FP16*(recommended) , BF16, FP32, FP8*, INT8, not supported: INT4 BF16 (recommended) , FP16, FP32, FP8*, INT8, not supported: INT4
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Adjust provider, category or input/output filters. New models are added continuously.
Adjust monthly token usage to compare estimated API costs.
Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.