Bernini-R-GGUF-ComfyUI
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查看详情 ↗DISCOVER & COMPARE
探索 AI 模型 47
BindWeave-GGUF
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查看详情 ↗ChronoEdit-GGUF
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查看详情 ↗Ditto-GGUF
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查看详情 ↗FastVideo-FastH3-8-Step-V2-ComfyUI-GGUF
vantagewithaiThe FastH3 8-Step V2 checkpoint from FastVideo. It generates synchronized video and audio from text with eight transformer forwards. This step-1300 model was trained with data-free DMD2 and VSA-H3 at 80% sparsity. > This checkpoint requires FastVideo's VSA-H3 attention backend. Its video > scheduler shift is 10, not the base model's 12. > This checkpoint supports text-to-audio-video generation. FL2VA and Ref2VA were not distilled. Difficult motion, fine detail, and some audio may remain below the base MiniMax H3 model. This checkpoint inherits the MiniMax H3 Community License.
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查看详情 ↗FastVideo-FastH3-Omni-8-Step-V1-ComfyUI-GGUF
vantagewithai**This is the final BF16 release checkpoint of FastH3 Omni.** It generates video with synchronized audio from a text prompt and ordered image, video and audio references, using eight transformer evaluations. For server deployment, use this BF16 checkpoint with UniServe's reference-conditioned (`ref2va`) configurations. The guide covers installation, model downloads, GPU placement, request capacities and the video/audio API. For the BF16 deployment, choose UniServe's `quality` precision preset. NVFP4 presets require Blackwell hardware. Use **FastVideo** with the NVFP4 QAD variant for local inference. QAD means quantization-aware distillation; these weights are trained for NVFP4 execution on Blackwell. Start with the FastVideo cookbook and FastH3 Omni recipe builder.
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查看详情 ↗Fibo-2.0-Dev-and-Edit-Turbo-ComfyUI-GGUF
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查看详情 ↗FireRed-Image-Edit-1.0-GGUF
vantagewithai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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查看详情 ↗FireRed-Image-Edit-1.1-GGUF
vantagewithaiWe introduce FireRed-Image-Edit-1.1, an upgrade to our general-purpose image editing foundation model. Building upon the capabilities presented in the FireRed-Image-Edit-1.0 Technical Report, version 1.1 significantly enhances identity consistency, multi-image conditioning, and domain-specialized editing performance, bringing the model closer to real-world creative production needs.
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查看详情 ↗FLUX.2-klein-9b-kv-GGUF
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查看详情 ↗JoyAI-Image-Edit-Plus-ComfyUI-GGUF
vantagewithai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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查看详情 ↗Krea-2
vantagewithaiSee our collection of in-house trained LoRAs trained on Raw and meant to be used with Turbo: Krea-2 LoRA Collection Krea 2 is a text-to-image diffusion model that generates images from natural-language text descriptions. The model is designed to support creative, commercial, developer, and research use cases, including image generation, concepting, design exploration, visual production workflows, and integration into applications and creative tools. This model was developed using a combination of publicly available data, data licensed from third-party providers, and synthetic data generated through proprietary methods. The training data includes images and their associated captions or text descriptions.
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查看详情 ↗Krea-2-Raw-GGUF
vantagewithaiSee our collection of in-house trained LoRAs trained on Raw and meant to be used with Turbo: Krea-2 LoRA Collection Krea 2 is a text-to-image diffusion model that generates images from natural-language text descriptions. The model is designed to support creative, commercial, developer, and research use cases, including image generation, concepting, design exploration, visual production workflows, and integration into applications and creative tools. This model was developed using a combination of publicly available data, data licensed from third-party providers, and synthetic data generated through proprietary methods. The training data includes images and their associated captions or text descriptions.
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查看详情 ↗Krea-2-Turbo-GGUF
vantagewithai**Watch us on Youtube:** @VantageWithAI See our collection of in-house trained LoRAs trained on Raw and meant to be used with Turbo: Krea-2 LoRA Collection - **Model Name:** Krea 2 - **Version:** v1.0 - **Release Date:** June 22, 2026 - **Model Type:** Text-to-image diffusion model - **Architecture:** Diffusion Transformer with 12 billion parameters - **License:** Krea 2 Community License - **Release Format:** Open-weight release and Krea-hosted product integrations - **Model Developer:** Krea.ai, Inc.
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查看详情 ↗Lens-GGUF-ComfyUI
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查看详情 ↗Lens-Turbo-GGUF-ComfyUI
vantagewithai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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查看详情 ↗LongCat-Image-Edit-GGUF
vantagewithaiWe introduce **LongCat-Image-Edit**, the image editing version of Longcat-Image. LongCat-Image-Edit supports bilingual (Chinese-English) editing, achieves state-of-the-art performance among open-source image editing models, delivering leading instruction-following and image quality with superior visual consistency.
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查看详情 ↗LongCat-Image-Edit-Turbo-GGUF
vantagewithaiWe introduce **LongCat-Image-Edit-Turbo**, the distilled version of LongCat-Image-Edit. It achieves high-quality image editing with only 8 NFEs (Number of Function Evaluations) , offering extremely low inference latency.
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查看详情 ↗LongCat-Image-GGUF
vantagewithaiWe introduce **LongCat-Image**, a pioneering open-source and bilingual (Chinese-English) foundation model for image generation, designed to address core challenges in multilingual text rendering, photorealism, deployment efficiency, and developer accessibility prevalent in current leading models.
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查看详情 ↗LongCat-Video-Avatar-1.5-GGUF-ComfyUI
vantagewithai**Original model Link:** https://huggingface.co/meituan-longcat/LongCat-Video-Avatar-1.5 **Watch us at Youtube:** @VantageWithAI We are excited to announce the release of LongCat-Video-Avatar 1.5, an upgraded open-source framework that prioritizes extreme empirical optimization and production-readiness for audio-driven human video generation. Built upon the LongCat-Video foundation model, v1.5 delivers highly stable, commercial-grade avatar video synthesis supporting native tasks including Audio-Text-to-Video (AT2V), Audio-Text-Image-to-Video (ATI2V), and Video Continuation, with seamless compatibility for both single-stream and multi-stream audio inputs.
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查看详情 ↗LongCat-Video-Avatar-ComfyUI-GGUF
vantagewithaiWe are excited to announce the release of LongCat-Video-Avatar, a unified model that delivers expressive and highly dynamic audio-driven character animation, supporting native tasks including Audio-Text-to-Video, Audio-Text-Image-to-Video, and Video Continuation with seamless compatibility for both single-stream and multi-stream audio inputs. --> The following videos showcase example generations from our model and have been compressed for easier viewing. Human evaluation on naturalness and realism of the synthesized videos. The benchmark EvalTalker [1] contains more than 400 testing samples with different difficulty levels for evaluating the single and multiple human video generation.
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查看详情 ↗LTX-2.3-GGUF
vantagewithaiThis model card focuses on the LTX-2.3 model, which is a significant update to the LTX-2 model with improved audio and visual quality as well as enhanced prompt adherence. LTX-2 was presented in the paper LTX-2: Efficient Joint Audio-Visual Foundation Model. LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution. It's extremely easy to reproduce the LoRAs and IC-LoRAs we publish with the model by following the instructions on the LTX-2 Trainer Readme.
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查看详情 ↗LTX-2.5-GGUF
vantagewithai**Original model Link:** https://huggingface.co/Lightricks/LTX-2.5 **Watch us at Youtube:** @VantageWithAI All the files have been quantized using **mixed-precision levels** to maintain the highest possible quality, at the expense of a slight increase in file size.
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查看详情 ↗LTX-2-GGUF
vantagewithaiLTX-2 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution. LTX-2 is accessible right away via the following links: - LTX-Studio text-to-video - LTX-Studio image-to-video You can use the models - full, distilled, upscalers and any derivatives of the models - for purposes under the license.
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查看详情 ↗暂未找到匹配模型
可以调整厂商、分类或输入输出条件；新模型正持续收录。
COST EXPLORER
好模型，也要算好成本。
调整月度 Token 用量，直观比较不同模型的预估 API 开支。
1 M = 100 万 Token · 美元计价
仅比较同一渠道的基础文本 Token 报价
仅比较同一渠道的基础文本 Token 报价
使用已采集且单位可比的 USD / 百万 Token 渠道报价。报价为采集时快照；不计缓存优惠、阶梯价、推理额外输出与税费，请以来源的当前报价为准。
MODEL HANDBOOK
读懂模型，再做选择
API 价格应该怎么比较？+
先区分输入、输出和缓存价格，再使用同一任务和用量估算总费用。图像、音频和视频可能按张、时长或分辨率计费，不能直接与 Token 单价比较。
开放权重，就代表可以免费商用吗？+
不一定。必须逐一核对具体模型版本的许可证、商用限制及使用政策。自己部署还需要考虑显存、推理资源和运维费用。
排行榜第一，就是最适合我的模型吗？+
榜单取决于测试任务、版本与评测方法。建议用实际业务样本比较准确性、时延、稳定性和成本，再选择模型。