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AI 모델 84999

• smoothquant-qwen25-15b-g52xlarge↗

  chris320211

• Qwen2.5-0.5B-Instruct-AB-Map↗

  CleytonNobre

• ldm-text2im-large-256↗

  CompVis

• rdd2022-yolov8m↗

  dronefreak

• mms-tts-bul↗

  facebook

  This model is part of Facebook's Massively Multilingual Speech project, aiming to provide speech technology across a diverse range of languages. You can find more details about the supported languages and their ISO 639-3 codes in the MMS Language Coverage Overview, and see all MMS-TTS checkpoints on the Hugging Face Hub: facebook/mms-tts. VITS (**V**ariational **I**nference with adversarial learning for end-to-end **T**ext-to-**S**peech) is an end-to-end speech synthesis model that predicts a speech waveform conditional on an input text sequence. It is a conditional variational autoencoder (VAE) comprised of a posterior encoder, decoder, and conditional prior. A set of spectrogram-based acoustic features are predicted by the flow-based module, which is formed of a Transformer-based text encoder and multiple coupling layers. The spectrogram is decoded using a stack of transposed convolutional layers, much in the same style as the HiFi-GAN vocoder. Motivated by the one-to-many nature of the TTS problem, where the same text input can be spoken in multiple ways, the model also includes a stochastic duration predictor, which allows the model to synthesise speech with different rhythms from the same input text.

• mms-tts-xer↗

  facebook

• sapiens-depth-1b↗

  facebook

• rus-cyrl-100mb-after-ppt-Dp-100mb-packed-bfdiso-ckpt500_seed455↗

  francesca9805

• tur-100mb-after-wc-loglinear-newlex-before-ckpt500-packed-bfdiso_seed3407↗

  francesca9805

• z-image-cyberrealistic-v9-gguf↗

  gimly13

  The key difference between Z-Image CyberRealistic v9 and v8 is not merely that it is "another version," but rather a shift in prompting philosophy. V9 moves away from tag stacks toward descriptive language: it better understands natural phrasing about lighting, scene and materials, relies less on booster words like "masterpiece" or "8k", and delivers more natural-looking skin, consistent anatomy and realistic lighting. Below are six prompts that demonstrate these differences in practice. All examples were generated with the same seed and sampler settings on both v8 and v9 for a fair comparison. 💡 Tip: These PNGs have the **ComfyUI workflow and prompt embedded!** Don't just copy the image from the browser preview. Go to the Files and versions tab, open the image there, and click "Download" to get the original file with all metadata intact.