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ideogram-4-fp8

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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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Image generation
Input Text→ Output Image
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Qwen-Image

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💜 Qwen Chat &nbsp&nbsp | &nbsp&nbsp🤗 Hugging Face &nbsp&nbsp | &nbsp&nbsp🤖 ModelScope &nbsp&nbsp | &nbsp&nbsp 📑 Tech Report &nbsp&nbsp | &nbsp&nbsp 📑 Blog &nbsp&nbsp We are thrilled to release **Qwen-Image**, an image generation foundation model in the Qwen series that achieves significant advances in **complex text rendering** and **precise image editing**. Experiments show strong general capabilities in both image generation and editing, with exceptional performance in text rendering, especially for Chinese. The following contains a code snippet illustrating how to use the model to generate images based on text prompts:

Image generation
Input Text→ Output Image
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Z-Image-Turbo

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Z-Image is a powerful and highly efficient image generation model with **6B** parameters. Currently there are three variants: 📸 **Photorealistic Quality**: **Z-Image-Turbo** delivers strong photorealistic image generation while maintaining excellent aesthetic quality. 📖 **Accurate Bilingual Text Rendering**: **Z-Image-Turbo** excels at accurately rendering complex Chinese and English text.

Image generation
Input Text→ Output Image
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phonon-31m is a text-to-speech model from the Phonon family. It turns text into natural 24 kHz speech in English. It streams audio while it is still generating, and it is small enough to run in a browser tab, on a phone, or on a laptop CPU. Phonon builds on Pocket TTS and the Mimi codec, developed by Kyutai. - **Model type:** text-to-speech. A flow-matching transformer predicts audio latents from the text one 80 ms frame at a time, and the Mimi codec's decoder turns them into audio. - **Parameters:** 31M (excluding the audio tokenizer) - **Weights file:** `model.q8.gguf`, 64.5 MB (8-bit quantized) - **Languages:** English - **Output:** mono, 24 kHz - **License:** Apache 2.0

Speech synthesis
Input Text→ Output Audio
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