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AI 模型 84760
- Qwen2.5-14B-Instruct-Uncensored↗
Orion-zhen
- th_PP-OCRv5_mobile_rec_safetensors↗
PaddlePaddle
- Saliency-R1-7B↗
peterant330
- GLuCoSE-base-ja-v2↗
pkshatech
This model is a general Japanese text embedding model, excelling in retrieval tasks. It can run on CPU and is designed to measure semantic similarity between sentences, as well as to function as a retrieval system for searching passages based on queries. Key features: - Specialized for retrieval tasks, it demonstrates the highest performance among similar size models in MIRACL and other tasks . - Optimized for Japanese text processing - Can run on CPU During inference, the prefix "query: " or "passage: " is required. Please check the Usage section for details.
- flux-3-image-klein-prompt-upsampler-GGUF↗
prithivMLmods
> **FLUX 3 Image Klein Prompt Upsampler** is Black Forest Labs' 9B vision-language model, a full fine-tune of Qwen3.5-9B with the vision tower frozen, that expands a short image request into the detailed prompt FLUX 3 Image Klein works best with. The card says Klein is not meant to run without an upsampler in front of it, because short prompts sent as typed give generic output. One model covers three modes, selected by the system prompt: text-to-image, editing with up to 10 reference images, and layout with optional bounding boxes. Output prompts spell out medium and style, scene, lighting and camera, and each subject's colors, materials and position, with any text to render kept verbatim in quotes. For edits it looks at the references and writes the instruction around what is in them, covering what changes and what stays. Bounding boxes are kept exactly, in a box table after the prompt, and the prompt cites each box by id. Training had two stages: supervised training on pairs of short requests and expanded prompts, then preference tuning on pairs of the model's own prompts, rendered with FLUX 3 Image Klein at the same seed and ranked on the resulting image. The card gives no benchmark numbers. Its one example turns "A man walking with his dog, afternoon sun" into a 220-word prompt. It is loaded by default in the official inference code and has an `enable_prompt_upsampler` switch in ComfyUI. With Diffusers, you run the Transformers block yourself and pass the caption as `prompt`. The limitations section says output is English only, though the request can be in any language, the prompts are tuned only for FLUX 3 Image Klein, and references are downscaled (at most 1 MP for one), so small details can be described wrongly. The model does not refuse requests, and the inference code offers optional prompt and image safety checks (`--safety`). The weights, a 18.8 GB bfloat16 file, are released under Apache 2.0.
- Gustavosta-MagicPrompt-Stable-Diffusion-GGUF-smashed↗
PrunaAI
- img2pose↗
py-feat
- HannaHermes-2.5-Mistral-7B-GGUF↗
QuantFactory
- Wicked-Tutu-31B-Final-GGUF↗
ReadyArt
@import url('https://fonts.googleapis.com/css2?family=Quicksand:wght@400;600;700&family=Outfit:wght@300;500;800&display=swap'); :root { --primary-pink: #ff1493; --secondary-pink: #ff69b4; --accent-pink: #d4005e; --bg-pink-light: #ffe6ee; --bg-pink-dark: #ffd1dc; --glass-bg: rgba(255, 255, 255, 0.7); --glass-border: rgba(255, 20, 147, 0.3); --text-main: #8b005d; --glow-color: rgba(255, 20, 147, 0.4); --section-bg: rgba(255, 255, 255, 0.5); --card-bg: rgba(255, 255, 255, 0.4); --warning-red: #ff4d4d; } @media (prefers-color-scheme: dark) { :root { --bg-pink-light: #1a050d; --bg-pink-dark: #0a0205; --glass-bg: rgba(20, 5, 10, 0.8); --glass-border: rgba(255, 105, 180, 0.4); --text-main: #ffb6c1; --glow-color: rgba(255, 20, 147, 0.6); --section-bg: rgba(40, 10, 20, 0.6); --card-bg: rgba(60, 15, 30, 0.4); --warning-red: #ff3333; } } body { font-family: 'Quicksand', sans-serif; background: linear-gradient(135deg, var(--bg-pink-light) 0%, var(--bg-pink-dark) 100%); color: var(--text-main) !important; margin: 0; padding: 20px; line-height: 1.6; } .container { margin: 0 auto; max-width: 1000px; background: var(--glass-bg); backdrop-filter: blur(20px); -webkit-backdrop-filter: blur(20px); border-radius: 30px; padding: 50px 40px; box-shadow: 0 25px 50px rgba(0, 0, 0, 0.2); border: 1px solid var(--glass-border); position: relative; overflow: hidden; } /* Animated Neon Border */ .container::before { content: ''; position: absolute; top: -2px; left: -2px; right: -2px; bottom: -2px; border: 3px solid transparent; border-radius: 30px; background: linear-gradient(45deg, var(--primary-pink), transparent, var(--secondary-pink), transparent) border-box; -webkit-mask: linear-gradient(#fff 0 0) padding-box, linear-gradient(#fff 0 0); -webkit-mask-composite: destination-out; mask-composite: exclude; animation: borderRotate 8s linear infinite; pointer-events: none; } @keyframes borderRotate { 0% { filter: hue-rotate(0deg); } 100% { filter: hue-rotate(360deg); } } /* Warning Banner */ .warning-banner { background: linear-gradient(90deg, var(--accent-pink), var(--primary-pink)); color: white !important; padding: 15px; border-radius: 15px; text-align: center; font-weight: 700; margin-botto
- euclaise_-_Memphis-CoT-3B-gguf↗
RichardErkhov