LongCat Image Model in ComfyUI -- Full Workflow, GGUF vs BF16, Real-World Tests & Review

πŸ”₯ LongCat Image Model Tested in ComfyUI (Complete Workflow & Benchmark) In this video, we test the LongCat Image 6B model inside a native ComfyUI workflow, exploring both BF16 safetensors and GGUF quantized versions (Q3 to Q8) to evaluate performance, realism, speed, and VRAM efficiency. LongCat-Image is a powerful open-source bilingual (Chinese-English) foundation model focused on photorealism, efficient deployment, strong text rendering, and developer accessibility --- all at just 6B parameters. ------------------------------------------------------------------------ πŸš€ What's Covered in This Video βœ… Complete ComfyUI LongCat workflow setup\ βœ… Required models (LongCat BF16 / GGUF, Qwen 2.5 7B VL, Flux VAE)\ βœ… Portrait realism test\ βœ… Cinematic Hollywood landmark test\ βœ… Geometric abstract mosaic symmetry test\ βœ… Text rendering accuracy test (blackboard typography)\ βœ… Football action scene with sponsor logo accuracy\ βœ… Hyper-realistic Seattle HDR winter cityscape\ βœ… Honest review of realism, lighting, prompt adherence & text rendering ------------------------------------------------------------------------ βš™οΈ Model Highlights 6B parameter architecture\ BF16 size \~12.5GB\ GGUF quantization from 2.8GB (Q3) to 6.7GB (Q8)\ Strong Chinese and English rendering\ Photorealistic image generation\ Efficient VRAM usage\ Native ComfyUI support ------------------------------------------------------------------------ πŸ”Ή Download Links: diffusion_models BF16: https://huggingface.co/Comfy-Org/Long... GGUF: https://huggingface.co/vantagewithai/... text_encoders https://huggingface.co/Comfy-Org/Huny... vae https://huggingface.co/Comfy-Org/z_im... Workflow https://huggingface.co/vantagewithai/... ------------------------------------------------------------------------ Model Storage Location πŸ“‚ ComfyUI/ β”œβ”€β”€ πŸ“‚ models/ β”‚ β”œβ”€β”€ πŸ“‚ diffusion_models/ β”‚ β”‚ └── longcat_image_bf16.safetensors β”‚ β”œβ”€β”€ πŸ“‚ unet/ β”‚ β”‚ └── LongCat-Image-XX_X.gguf β”‚ β”œβ”€β”€ πŸ“‚ text_encoders/ β”‚ β”‚ └── qwen_2.5_vl_7b_fp8_scaled.safetensors β”‚ └── πŸ“‚ vae/ β”‚ └── ae.safetensors ------------------------------------------------------------------------ 🎯 Why This Matters If you're looking for a fast, economical AI image model that runs on lower VRAM GPUs while still delivering strong realism and prompt adherence, LongCat Image may be one of the best lightweight open-source options available today. This video demonstrates real-world outputs -- not just benchmarks -- so you can decide whether LongCat belongs in your ComfyUI pipeline. ------------------------------------------------------------------------ #LongCatImage, #ComfyUIWorkflow, #AIImageGeneration ------------------------------------------------------------------------ πŸ‘ Like, Subscribe, and Comment if you want more in-depth AI workflow breakdowns.

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