flux1-dev-turbo-GGUF
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探索 AI 模型 17
flux2-dev-turbo-GGUF
ChrisColeTech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 ↗flux2-klein-GGUF
ChrisColeTech> **What this repo is:** a requantized, split-layout build of the upstream model — weights only, not a retrain. The recommended settings below are the values these weights are actually run with day to day, not copied from the upstream card. **prompt:** `a red apple on a rustic wooden table beside a window, soft daylight, fine skin texture and wood grain, studio photograph, sharp focus` — 1024×1024, 4 steps, guidance 1.0, seed 12345 **prompt:** `portrait of an older fisherman with a weathered face, natural window light, shallow depth of field, photorealistic` — 1024×1024, 4 steps, guidance 1.0, seed 99 **prompt:** `a rain-slicked Tokyo street at night, neon signs reflecting in puddles, cinematic, 35mm photograph` — 1024×1024, 4 steps, guidance 1.0, seed 1234
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查看详情 ↗giga-lora-studio-models
ChrisColeTech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 ↗ideogram4-turbo-GGUF
ChrisColeTech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-raw-FP8
ChrisColeTech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 ↗krea2-turbo-edit-GGUF
ChrisColeTech8-step distilled text-to-image and identity-preserving instruction editing — ≈35 s per 1024² image on an RTX 5090, guidance-free. > **What this repo is:** the Krea 2 Turbo Edit denoiser (identity LoRA baked > in) as GGUF at three quant tiers plus a scaled-FP8 build, with the > Qwen3-VL-4B text encoder and Qwen-Image VAE it needs — weights only, not a > retrain. The settings below are the values these weights are actually run > with day to day. **prompt:** `a red apple on a rustic wooden table beside a window, soft daylight, fine skin texture and wood grain, studio photograph, sharp focus` — 1024×1024, 8 steps, guidance 0.0, seed 12345 **prompt:** `portrait of an older fisherman with a weathered face, natural window light, shallow depth of field, photorealistic` — 1024×1024, 8 steps, guidance 0.0, seed 99
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查看详情 ↗LTX-2.3-uncensored-v1.4-FP8
ChrisColeTechUPDATED 8/21/2026 - The latest **LTX Video-2.3 Uncensored Turbo v1.4** DiT with **Distilled** LoRA **baked in**. **Modes:** `img2video`, `txt2video`, FL2VA / T2VA / I2VA / REF2VA/ AUDIO-TO-VIDEO. A pre-merged, GGUF and FP8 build of **LTX Video-2.3** with three fine-tunes baked into the weights:
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查看详情 ↗LTX-2.5-uncensored-v1.1-FP8
ChrisColeTech**UPDATED 9/10/2026:** - The latest **LTX Video-2.5 Uncensored Turbo v1.1**. `fp8_scaled` for speed. - **Uncensored Gemma4 12B** text encoder w/ LTX projections baked-in (no extra files needed). `int8` for speed and accuracy. **Modes:** `img2video`, `txt2video`, FL2VA / T2VA / I2VA / REF2VA/ AUDIO-TO-VIDEO. A pre-merged, GGUF and FP8 build of **LTX Video-2.5** with five fine-tunes baked into the weights:
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查看详情 ↗minimax-h3-turbo-GGUF
ChrisColeTechThe MiniMax H3 **FL2VA (pruned)** DiT with the **LightX2V Turbo 8-step v1.0** LoRA **baked in**. The MiniMax H3 **REF2VA (pruned)** DiT with the **LightX2V Turbo 4-step v1.0** LoRA **baked in**. Both samples use the **same** turbo **Q4_K_M turbo GGUF** diffusion model, prompt, and settings, only the **text encoder** changes (4B vs 8B).
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查看详情 ↗minimax-music3-GGUF
ChrisColeTechComplete songs with vocals from a **caption** (music description) + **lyrics**. Up to ~5 min, stereo 44.1 kHz. In comfy: - Open the ComfyUI Manager - Change the channel to "Channel (remote)" - and search for comfyui-gguf-loader **Caption in three parts:** - global metadata (genre, BPM, key, mood) - vocal details - arrangement.
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查看详情 ↗qwen-image-edit-multiple-angles-GGUF
ChrisColeTechA pre-merged, quantized build of **Qwen-Image-Edit-2509** with two fine-tunes baked into the weights: Prompt: A giant full-body teddy bear wearing a plain white t-shirt. Print the exact logo from the input image onto the front of the t-shirt, large and clearly visible. Soft studio lighting, clean light-gray background, full-body shot, cute and detailed. Prompt: Show this exact teddy bear in one image as three separate full-body views in a row, evenly spaced: front view facing the camera, left side view, and back view facing away from the camera. In every view the head faces the same direction as the body — in the back view the head is also turned away from the camera and the face is completely hidden. Keep the character design, white t-shirt with the Qwen logo, lighting style, and light gray background perfectly consistent across all three views.
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查看详情 ↗qwen-image-edit-turbo-GGUF
ChrisColeTech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 ↗qwen-image-edit-uncensored-GGUF
ChrisColeTechA pre-merged, quantized build of **Qwen-Image-Edit-2511** with two fine-tunes baked into the weights: Prompt: A giant full-body teddy bear wearing a plain white t-shirt. Print the exact logo from the input image onto the front of the t-shirt, large and clearly visible. Soft studio lighting, clean light-gray background, full-body shot, cute and detailed. - **Note:** "Editing" is not this models strength, the model needs further tuning for stronger NSFW edits.
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查看详情 ↗scenema-audio
ChrisColeTech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 ↗TRELLIS.2-4B-FP16
ChrisColeTech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 ↗z-image-turbo-GGUF
ChrisColeTech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。