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Aquiles-ai/Wan2.1-Turbo-fp8
Wan2.1-Turbo-fp8 is a text-to-video model from Aquiles-ai. Use it when you need video from a text prompt. The card lists the license as apache-2.0.
This is the ultimate optimized version of <a href="https://huggingface.co/Wan-AI/Wan2.1-T2V-14B"<bWan-AI's Wan2.1-T2V-14B</b</a, combining both Turbo LoRA acceleration and fp8 quantization. This package offers the bes…
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From the Hugging Face model README
This is the ultimate optimized version of <a href="https://huggingface.co/Wan-AI/Wan2.1-T2V-14B"><b>Wan-AI's Wan2.1-T2V-14B</b></a>, combining both Turbo LoRA acceleration and fp8 quantization. This package offers the best balance of speed, memory efficiency, and quality:
This model is planned to work with Aquiles-Image, providing an OpenAI-compatible API for video generation:
pip install aquiles-image
aquiles-image serve --model "wan2.1-turbo-fp8"
Learn more in the full documentation.
Generated with prompt: A direct continuation of the existing shot of a chameleon crawling slowly along a mossy branch. Begin with the chameleon already mid-step, camera tracking right at the same close, eye-level angle. After three seconds, its eyes swivel independently, one pausing to glance toward the lens before it resumes moving forward. Maintain the 100 mm anamorphic lens with shallow depth of field, dappled rainforest light, faint humidity haze, and subtle film grain. The moss texture and background greenery should remain consistent, with the chameleon's deliberate gait flowing naturally as if no cut occurred.
We extend our gratitude to:
This repackaged version is made possible by their excellent work and commitment to the open-source community.
For more information about the original model, please visit the official Wan2.1-T2V-14B repository.