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AI Models 85003

• wav2vec2-large-xlsr-53-finnish↗

  jonatasgrosman

  Fine-tuned facebook/wav2vec2-large-xlsr-53 on Finnish using the train and validation splits of Common Voice 6.1 and CSS10. When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned thanks to the GPU credits generously given by the OVHcloud :) The script used for training can be found here: https://github.com/jonatasgrosman/wav2vec2-sprint

• wav2vec2-large-xls-r-1b-Swedish↗

  kingabzpro

• jina-embeddings-v3↗

  koble-ai

• CLIP-convnext_base_w-laion2B-s13B-b82K↗

  laion

• pixel-art-lora↗

  Limbicnation

  A LoRA adapter trained on FLUX.2-klein-4B for generating pixel art character sprites. Optimized for game-ready assets with transparent backgrounds. 2. Load FLUX.2-klein-4B as the base checkpoint 3. Add a **Load LoRA** node, point to `pytorch_lora_weights.safetensors` 4. Set LoRA strength: **0.85 - 1.4** (tested range) 5. Use trigger words in your positive prompt This model was trained with full data provenance tracking. All source images are CC0 public domain, making the outputs safe for commercial game development, Steam releases, and B2B studio use.

• llama-3.1-405b↗

  Meta

• control_v11p_sd15_mlsd↗

  lllyasviel

  **Controlnet v1.1** is the successor model of Controlnet v1.0 and was released in lllyasviel/ControlNet-v1-1 by Lvmin Zhang. This checkpoint is a conversion of the original checkpoint into `diffusers` format. It can be used in combination with **Stable Diffusion**, such as runwayml/stable-diffusion-v1-5. @misc{zhang2023adding, title={Adding Conditional Control to Text-to-Image Diffusion Models}, author={Lvmin Zhang and Maneesh Agrawala}, year={2023}, eprint={2302.05543}, archivePrefix={arXiv}, primaryClass={cs.CV} }

• Whittle-Qwen-3.8-35B-A3B↗

  logic65

• LongCat Flash Lite↗

  LongCat

• chrono-bert-v1-20161231↗

  manelalab