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AI 模型 84759

• MrBERT-es↗

  BSC-LT

• krea2-identity-edit↗

  conradlocke

  ☕ **Support on Ko-fi** — all tips go straight to GPU compute for future versions. 🧰 **Training code is public:** krea2edit-trainer — the ai-toolkit extension these LoRAs were trained with, geometry-matched to the nodes, with measured consumer-GPU VRAM requirements. > **V2 ships as two LoRAs:** > > - **`krea2_identity_edit_v2.safetensors` — Krea 2 Identity Edit V2.** Put a person > from one photo into any scene, pose, outfit and lighting. Extremely improved > likeness, better sharpness and skin/fabric texture, and far more freedom to > restage than v1.2. > - **`krea2_general_edit_v2.safetensors` — Krea 2 General Edit V2.** Instruction-based > editing: remove, recolor, relight, swap backgrounds, add objects, change text and > outfits, restyle, flat lays. > > **License:** free for personal / non-commercial use; commercial use needs a > license from me, case by case — see License. > > **Use one LoRA per task** — they share a lineage, so loading both at full strength > breaks the image (see Using both). > > **Requires the V2 nodes** (`comfyui-krea2edit` ≥ 2.0.0), which add **reference > placement**: choose per reference whether it is pinned onto the output layout or > placed beside it — e.g. keep a scene exactly while placing a person freely in it. > > **Low-VRAM versions:** `..._v2_r128.safetensors` (0.91GB) and `..._v2_r64.safetensors` (0.46GB) > for both LoRAs — rank-reduced from the full files, near-identical quality. > > Prior versions remain available (`..._v1_2*`, `..._v1_1*`, `..._v1`).

• DFM-Mimir↗

  danish-foundation-models

• Qwen3.8-27B-MLX-Serve-4bit↗

  ddalcu

• google.gemma-3n-E2B-it-GGUF↗

  DevQuasar

• GLM-5.3-Flash-oQ8e-mtp↗

  dfp-official

• wav2vec2-base-vietnamese↗

  dragonSwing

  Fine-tuned dragonSwing/wav2vec2-base-pretrain-vietnamese on Vietnamese Speech Recognition task using 100h labelled data from VSLP dataset. When using this model, make sure that your speech input is sampled at 16kHz. The model can be used directly (without a language model) as follows:

• hf-seamless-m4t-medium↗

  facebook

  SeamlessM4T is a collection of models designed to provide high quality translation, allowing people from different linguistic communities to communicate effortlessly through speech and text. This repository hosts 🤗 Hugging Face's implementation of SeamlessM4T. You can find the original weights, as well as a guide on how to run them in the original hub repositories (large and medium checkpoints). **🌟 SeamlessM4T v2, an improved version of this version with a novel architecture, has been released here. This new model improves over SeamlessM4T v1 in quality as well as inference speed in speech generation tasks.**

• MoEViE-H14-448↗

  facebook

• Noct-Q-Uncensored-Qwen-Image-2.1↗

  Fadelseth