t5-base-encoder-gguf
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ChatR Labs Uncensored Omni LoRA v0.1 is an experimental rank-128 adapter fine-tuned from Qwen/Qwen-Image-2.1. Create images from text or transform existing images with natural-language instructions, using one adapter for both workflows. The download contains **LoRA weights only**. Load it on top of the original Qwen-Image-2.1 base model; the transformer, text encoder, processor, and VAE are downloaded separately from the base repository. No account is required. Choose **Text to Image** or **Image Editing**, enter a prompt, and generate. The editing interface accepts one to three reference images. Requests share a queue.
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This is a modified version of google/translategemma-12b-it optimized for deployment with vLLM. **No retraining was performed.** Only configuration files and the chat template were modified. Model weights are identical to the original. As of 2025-01-29, vLLM does not natively support TranslateGemma's custom structured input format. See vllm-project/vllm#32446 for the upstream tracking issue. Until that is merged, this repo provides a workaround by modifying configuration files to make TranslateGemma compatible with vLLM's standard chat API.
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Adjust provider, category or input/output filters. New models are added continuously.
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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
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