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View details ↗DISCOVER & COMPARE
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View details ↗Feed a frame, direct the next shot. This LoRA teaches **Qwen-Image-2.1** cinematic scene continuation: it takes an input image and a director-style instruction and generates the *next scene* — camera moves, reveals, lighting shifts — while keeping the world, characters and style consistent. Chain outputs into storyboards. This is the **Qwen-Image-2.1 port of the next-scene format** pioneered by lovis93/next-scene-qwen-image-lora-2509 (313K downloads on the 2509 edit model) — retrained natively on the newest Qwen image base, where this capability did not exist yet. Companion piece to akhaliq/Qwen-Image-2.1-Multiple-Angles-LoRA (camera control) — together they cover *where the camera is* and *where the story goes next*. **ComfyUI:** load in any Qwen-Image-2.1 workflow with a LoRA node (strength **0.7–0.9**), pass your image as the edit/reference input.
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View details ↗chatterbox-tts-norwegian
akhbar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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View details ↗Jev-Omni
akhilaaa3A multimodal decision classifier for **text, images, audio and video**. Supply a question and options; receive a probability for each option—not a generated explanation. Reference scores are officially reported by their developers and may use different evaluation protocols. Jev-Omni cost uses its recorded input tokens at OpenRouter's Gemma 3 12B input rate ($0.05/M); its classifier generates no output tokens.
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View details ↗Moss-image-nsfw-uncensored-lora-GGUF
akhilkumar9439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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View details ↗Arabic-SBERT-100K
akhooliThis is a sentence-transformers model finetuned from aubmindlab/bert-base-arabertv02. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. This model is trained on 100K samples filtered from the akhooli/arabic-triplets-1m-curated-sims-len dataset with 75K training and 25K validation. Trained for 5 epochs, with final training loss of 0.133 (using MatryoshkaLoss).
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View details ↗gpt2-small-arabic
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View details ↗gpt2-small-arabic-poetry
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View details ↗Nanbeige4.1-3B-GGUF
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View details ↗Qwen3.8-27B-DFlash2-GGUF
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View details ↗Wan2.2-T2V-A14B-GGUF
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View details ↗FLUX.1-Fill-dev-GGUF
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View details ↗FormaFit-3B
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View details ↗kokoro-cloning-v1
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View details ↗No matching models
Adjust provider, category or input/output filters. New models are added continuously.
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