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AI 모델 84760

• Wuli-MiniMax-H3-Turbo-ComfyUI↗

  sandpies

  **Comparisons (same prompt and seed per row, euler / simple / 8 steps).** Left to right: hybrid, hybrid + Realism, FL2VA FlashGen. > **Update (Oct 16):** **F2** replaces the earlier `reflora100` hybrid as the recommended reference-to-video model. reflora100 baked in Kijai's Ref2VA reference LoRA, a low-rank approximation of the Ref2VA−FL2VA difference. F2 bakes in the full, uncompressed difference for blocks 25-49 instead, so it carries all of Ref2VA's reference behaviour in those blocks rather than a squeezed version, and it held up better than reflora100 in my tests. Same settings, same file size. ComfyUI-format conversions of **Wuli-Art's MiniMax-H3 Turbo** few-step audio+video distillations of MiniMax H3:

• distiluse-base-multilingual-cased-v1↗

  sentence-transformers

  This is a sentence-transformers model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search. Using this model becomes easy when you have sentence-transformers installed: If you find this model helpful, feel free to cite our publication Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks:

• Qwen3-8B-Drama-Thinking-Q8_0-GGUF↗

  Sorawiz

• Wan2.1-VAE-upscale2x↗

  spacepxl

  A decoder-only finetune of the Wan2.1 VAE, with 2x upscaling integrated directly into the decoder. The main purpose of this is to kill the dreaded wan speckles/polka dots/grain, but it's also convenient for highres fix workflows. The outputs of the 2x decoder are usually much better than what you would get by running the outputs of the original decoder through an image upscale model, and even better, it's effectively free, since the compute cost of decoding is virtually unchanged. If you don't want to use the extra resolution, a slight blur and downsample will give you an original resolution image with much higher quality than the original decoder can produce. In particular, this VAE improves skin details and hair very significantly. It is trained almost exclusively on real images, so it may struggle with anime/lineart and text. It would be possible to finetune on anime/lineart, but I'm not aware of a suitable dataset that's licensed correctly and not just full of scraped media with massive copyright violations. If you know of an appropriate datset for this that is sourced from cc-by materials or similar, let me know and I'd be happy to try training it. The first released version is trained on images only, and is compatible with both Wan and Qwen since they share the same latent space. A video version is planned, but video training is more complex than image training, so it will take some time.

• meow-lite-v6↗

  tampajohn

• guanaco-33B-GGUF↗

  TheBloke

• stockmark-13B-GGUF↗

  TheBloke

• Everos↗

  theomnira

• Falcon-H1-Tiny-90M-Base↗

  tiiuae

• resnet18.gluon_in1k↗

  timm