FLUX.1-dev-onnx
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探索 AI 模型 84991
FLUX.1-Fill-dev
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查看详情 ↗FLUX.1-Kontext-dev
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查看详情 ↗FLUX.1-Kontext-dev-NVFP4
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查看详情 ↗FLUX.1-Kontext-dev-onnx
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查看详情 ↗FLUX.1-Krea-dev
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查看详情 ↗FLUX.1-Redux-dev
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查看详情 ↗FLUX.1-schnell
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查看详情 ↗FLUX.1-schnell-onnx
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查看详情 ↗FLUX.2-dev-NVFP4
Black Forest Labs`FLUX.2 [dev]` is a 32 billion parameter rectified flow transformer capable of generating, editing and combining images based on text instructions. For more information, please read our blog post. This repository holds an NVFP4 version and a mixed NVFP4/BF16 version of FLUX.2 [dev]. The mixed version has a small set of weights in BF16. The main repository of this model (full BF16 weights) can be found here.
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查看详情 ↗FLUX.2-klein-4B
Black Forest LabsThe FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, **delivering state-of-the-art quality with end-to-end inference in as low as under a second**. Built for applications that require real-time image generation without sacrificing quality, and runs on consumer hardware, with as little as 13GB VRAM. FLUX.2 [klein] 4B is a 4 billion parameter rectified flow transformer capable of generating images from text descriptions and supports multi-reference editing capabilities. Fully open under Apache 2.0. Our most accessible model runs on consumer GPUs like the RTX 3090/4070. Compact but capable: supports text-to-image, image editing, and multi-reference at quality that punches above its size. Built for local development, edge deployment, and production use.
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查看详情 ↗FLUX.2-klein-4b-fp8
Black Forest Labs`FLUX.2 [klein] 4B` is a 4 billion parameter rectified flow transformer capable of generating images from text descriptions and supports multi-reference editing capabilities. For more information, please read our blog post. This repository holds an FP8 version of FLUX.2 [klein] 4B. The main repository of this model (full BF16 weights) can be found here. - This model is not intended or able to provide factual information. - While the model can output text, text rendered may be inaccurate or subject to distortion. - As a statistical model, this checkpoint may represent or amplify biases observed in the training data. - The model may fail to generate output that matches the prompts. - Prompt following is heavily influenced by the prompting style.
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查看详情 ↗FLUX.2-klein-4b-nvfp4
Black Forest Labs`FLUX.2 [klein] 4B` is a 4 billion parameter rectified flow transformer capable of generating images from text descriptions and supports multi-reference editing capabilities. For more information, please read our blog post. This repository holds an NVFP4 version of FLUX.2 [klein] 4B. The main repository of this model (full BF16 weights) can be found here. Nothing contained in this Model Card should be interpreted as or deemed a restriction or modification to the license the model is released under.
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查看详情 ↗FLUX.2-klein-9B
Black Forest Labs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 ↗FLUX.2-klein-9b-fp8
Black Forest Labs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 ↗FLUX.2-klein-9b-kv
Black Forest Labs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 ↗FLUX.2-klein-9b-kv-fp8
Black Forest Labs`FLUX.2 [klein] 9B-KV` is an optimized variant of FLUX.2 [klein] 9B with **KV-cache support for accelerated multi-reference editing**. This variant caches key-value pairs from reference images during the first denoising step, eliminating redundant computation in subsequent steps for significantly faster multi-image editing workflows. For more information about FLUX.2 [klein], please read our blog post. 1. **KV-Cache Optimization**: Reference image KV pairs are computed once and cached, reducing computation and speeding up inference by up to 2.5 times for multi-reference editing tasks. 2. All capabilities of FLUX.2 [klein] 9B: sub-second generation, text-to-image, and multi-reference editing in a single unified model. 3. Ideal for interactive applications and real-time editing pipelines where the same reference images are used across multiple generations. 4. 9B flow model with 8B Qwen3 text embedder, step-distilled to 4 inference steps. 5. Available for non-commercial use.
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查看详情 ↗FLUX.2-klein-9b-nvfp4
Black Forest Labs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 ↗FLUX.2-klein-base-4B
Black Forest LabsThe FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, **delivering state-of-the-art quality with end-to-end inference in as low as under a second**. Built for applications that require real-time image generation without sacrificing quality, and runs on consumer hardware, with as little as 13GB VRAM. FLUX.2 [klein] 4B Base is a 4 billion parameter rectified flow transformer capable of generating images from text descriptions and supports multi-reference editing capabilities. It's a full-capacity foundation model. Undistilled, preserving complete training signal for maximum flexibility. Ideal for fine-tuning, LoRA training, research, and custom pipelines where control matters more than speed. Higher output diversity than the distilled models.
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查看详情 ↗FLUX.2-klein-base-4b-fp8
Black Forest Labs`FLUX.2 [klein] 4B Base` is a 4 billion parameter rectified flow transformer capable of generating images from text descriptions and supports multi-reference editing capabilities. For more information, please read our blog post. This repository holds an FP8 version of FLUX.2 [klein] 4B Base. The main repository of this model (full BF16 weights) can be found here. - This model is not intended or able to provide factual information. - While the model can output text, text rendered may be inaccurate or subject to distortion. - As a statistical model, this checkpoint may represent or amplify biases observed in the training data. - The model may fail to generate output that matches the prompts. - Prompt following is heavily influenced by the prompting style.
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查看详情 ↗FLUX.2-klein-base-4b-nvfp4
Black Forest Labs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 ↗FLUX.2-klein-base-9B
Black Forest Labs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 ↗FLUX.2-klein-base-9b-fp8
Black Forest Labs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 ↗FLUX.2-klein-base-9b-nvfp4
Black Forest Labs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。
基础资料已收录 · 缺失资料后续补充
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价格待核验多模态与渠道费用须分别核对
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。