faster-whisper-tiny
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faster-whisper-tiny.en
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View details ↗LLMFarm_Models
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View details ↗nuner-v1_orgs
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View details ↗This is a SpanMarker model trained on the FewNERD dataset that can be used for Named Entity Recognition. This SpanMarker model uses numind/generic-entity_recognition_NER-v1 as the underlying encoder.
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View details ↗unrager-4b
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View details ↗DeathNote
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View details ↗MosaicArt
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View details ↗SouthParkStyle
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View details ↗Tardisfusion
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View details ↗Gumini-1.5B-Base-i1-GGUF
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View details ↗Gumini-1B-Base
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View details ↗Gumini-1B-Base-i1-GGUF
GuminiResearch基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗AnimateDiff is a method that allows you to create videos using pre-existing Stable Diffusion Text to Image models. It achieves this by inserting motion module layers into a frozen text to image model and training it on video clips to extract a motion prior. These motion modules are applied after the ResNet and Attention blocks in the Stable Diffusion UNet. Their purpose is to introduce coherent motion across image frames. To support these modules we introduce the concepts of a MotionAdapter and UNetMotionModel. These serve as a convenient way to use these motion modules with existing Stable Diffusion models. The following example demonstrates how you can utilize the motion modules with an existing Stable Diffusion text to image model.
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View details ↗AnimateDiff is a method that allows you to create videos using pre-existing Stable Diffusion Text to Image models. It achieves this by inserting motion module layers into a frozen text to image model and training it on video clips to extract a motion prior. These motion modules are applied after the ResNet and Attention blocks in the Stable Diffusion UNet. Their purpose is to introduce coherent motion across image frames. To support these modules we introduce the concepts of a MotionAdapter and UNetMotionModel. These serve as a convenient way to use these motion modules with existing Stable Diffusion models. The following example demonstrates how you can utilize the motion modules with an existing Stable Diffusion text to image model.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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