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TText generation▧Image generation▷Video generation⌘Code generation◖Speech synthesis♫Music generation⬡3D modeling▤Document analysis
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FLUX.2 Pro

Black Forest Labs

FLUX.2 Pro API(APIMart)支持文生图与图像编辑,最多使用8张公网URL或Base64参考图,提供1MP至4MP输出档位、9种宽高比及auto,也可指定精确尺寸。每次任务生成1张图像,输入与输出按本型号的MP档位分别计费,最终以任务cost为准。开通会员,API调用立省20%起。

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FLUX.2-small-decoder

Black Forest Labs

`FLUX.2 Small Decoder` is a distilled VAE decoder that serves as a **drop-in replacement** for the standard FLUX.2 decoder. It delivers faster decoding and lower VRAM usage with minimal to zero quality loss. The encoder remains unchanged. 1. **~1.4x faster decoding** compared to the full decoder. 2. **~1.4x less VRAM** at decode time, enabling higher resolutions without running out of memory. 3. **~28M decoder parameters** (vs ~50M in the full decoder) thanks to narrower channel widths (`[96, 192, 384, 384]` vs `[128, 256, 512, 512]`). 4. **Minimal quality loss** — images are almost identical. 5. Available under the Apache 2.0 license. Compatible with all open FLUX.2 models: - FLUX.2-klein-4B - FLUX.2-klein-9B - FLUX.2-klein-9b-kv - FLUX.2-dev

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flux-3-action-base

Black Forest Labs

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flux-3-action-droid

Black Forest Labs

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flux-3-action-so101

Black Forest Labs

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FLUX 3 Image

Black Forest Labs

FLUX 3 Image API(APIMart):支持文生图与最多 10 张参考图编辑,提供五档分辨率。按所选分辨率计费,参考图不额外加价,每次请求生成一张图片。

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flux-3-image-klein

Black Forest Labs

FLUX 3 Image Klein API:Black Forest Labs 开放权重图像模型(5.6B 参数),支持文生图、指令编辑与多图参考,最多 10 张参考图;提供 768sq 至 4k 五档分辨率与 15 种宽高比,并可设置随机种子、1–16 步降噪及 PNG/JPEG 输出,在 APIMart 调用。

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flux-3-image-klein-pup

Black Forest Labs

FLUX 3 Image Klein Prompt Upsampler is a 9B vision-language model that expands a short image request into the detailed prompt FLUX 3 Image Klein works best with. It takes the request, up to 10 reference images and an optional list of bounding boxes, and returns one prompt. It is a fine-tune of Qwen3.5-9B. FLUX 3 Image Klein is not meant to run without a prompt upsampler in front of it, for text-to-image, editing and layout alike; a short prompt sent to the image model as typed gives generic output. This one is tuned for it, see Training. Any other LLM can do the job with the system prompts in `system_prompts.json`. The inference code in black-forest-labs/flux-3-image-klein loads it by default. With Diffusers, run the Transformers block below and pass the caption to the pipeline as `prompt`. In ComfyUI, the text-to-image templates on flux-3-image-klein-comfy have an `enable_prompt_upsampler` switch. > Full-color outdoor photograph, eye-level medium-wide shot in late afternoon sunlight, showing a man walking his dog along a neighborhood sidewalk. The low sun shines from the upper right, casting long shadows across the pavement and lighting the man's face and clothing with warm side light. Slightly left of center, a white man in his thirties with fair skin, short brown hair, and light stubble walks toward frame-left at an easy pace. He wears a faded olive overshirt over a plain grey T-shirt, dark blue jeans, and worn brown leather shoes. [...]

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FLUX 3 Video

Black Forest Labs

FLUX 3 Video API(APIMart):支持文生视频、按序关键帧、视频续写与同步音频,生成 5–20 秒 HD 或 FHD 视频。开通会员,API 调用立省20%起。

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FLUX.1 Kontext Max

Black Forest Labs

FLUX.1 Kontext Max API(APIMart):上下文感知的图像编辑与文生图,最多支持 4 张参考图,每次请求生成一张约 1MP 图片。可通过文本指令修改商品、背景、角色和风格,支持九种宽高比及自动比例、PNG/JPEG/WebP 输出、提示词增强和异步任务查询。开通会员,API 调用立省20%起。

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FLUX.1 Kontext Pro

Black Forest Labs

FLUX.1 Kontext Pro API(APIMart):上下文感知的图像编辑与文生图,最多支持 4 张参考图,每次请求生成一张约 1MP 图片。可通过文本指令修改商品、背景、角色和风格,支持九种宽高比及自动比例、PNG/JPEG/WebP 输出、提示词增强和异步任务查询。开通会员,API 调用立省20%起。

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knaif

blackdeep

Fine-tuned **Qwen3** models for knaif, a local command-line tool that turns a request like *"compress holiday.mp4 for whatsapp"* into a strict JSON **action plan** (`{"plan": [...]}`). Deterministic code then validates, expands, confirms and executes the plan through skill packages. **The model only proposes the plan**; it never runs anything itself. Public names (`v1`, `v2`) are release versions and move by one per publication. The fine-tune cycle is internal provenance. Older files stay here, so a pinned install keeps working. A knaif release is bound to the models it was tested with; its bundled manifest names them, and `knaif` downloads the recommended one on first run.

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