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"## GPU:RTX4090D 24GB\n\n| Configuration | VRAM Usage | 1st Generation | 2nd Generation |\n|---------------------|---------------|---------------|-----------------|\n| Fp8_e4m3fn | 86% | ≈ 94s | ≈ 71s |\n| With 8steps LoRA | 86% | ≈ 55s | ≈ 34s |\n| Distill fp8_e4m3fn | 86% | ≈ 69s | ≈ 36s |"
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"[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image) \n\n## Model links\n\nYou can find all the models on [Huggingface](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) or [Modelscope](https://modelscope.cn/models/Comfy-Org/Qwen-Image_ComfyUI/files)\n\n**Diffusion model**\n\n- [qwen_image_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors)\n\nQwen_image_distill\n\n- [qwen_image_distill_full_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/non_official/diffusion_models/qwen_image_distill_full_fp8_e4m3fn.safetensors)\n- [qwen_image_distill_full_bf16.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/non_official/diffusion_models/qwen_image_distill_full_bf16.safetensors)\n\n**LoRA**\n\n- [Qwen-Image-Lightning-8steps-V1.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-8steps-V1.0.safetensors)\n\n**Text encoder**\n\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n\n**VAE**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ ├── qwen_image_fp8_e4m3fn.safetensors\n│ │ └── qwen_image_distill_full_fp8_e4m3fn.safetensors\n│ ├── 📂 loras/\n│ │ └── Qwen-Image-Lightning-8steps-V1.0.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 text_encoders/\n│ └── qwen_2.5_vl_7b_fp8_scaled.safetensors\n```\n"
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"You can test and find the best setting by yourself. The following table is for reference.\n\n| model | steps | cfg |\n|---------------------|---------------|---------------|\n| fp8_e4m3fn（Qwen team's suggestion） | 40 | 2.5 \n| fp8_e4m3fn | 20 | 2.5 |\n| fp8_e4m3fn + 8steps LoRA | 8 | 1.0 |\n| distill fp8_e4m3fn | 10 | 1.0 |"
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"### Node Inputs\n\n* **`method`**: The extrapolation strategy.\n * **`vision_yarn`:** Best for 4K+ and non-square images. Fixes stretching and artifacts automatically.\n * **`yarn` / `ntk`**: Legacy methods. Use `yarn` with `yarn_alt_scaling` for manual control.\n* **`enable_dype`**: Toggles the dynamic (time-aware) algorithm. Keep enabled for best quality.\n* **`dype_scale`**: Magnitude of the frequency shift. Default: `2.0`.\n* **`dype_exponent`**: Aggressiveness of the dynamic schedule.\n * `2.0`: Best for **4K**.\n * `1.0`: Best for **2K**.\n * `0.5`: Best for **~1.5K**.\n* **`yarn_alt_scaling`**: *(Legacy `yarn` only)* Switch between Anisotropic (Sharper, potential stretching) and Isotropic (Softer, accurate geometry).\n* **`base_shift` / `max_shift`**: Advanced noise schedule controls. Defaults (`0.5` / `1.15`) are optimized for FLUX.\n\n\n## Join\n\n### [TokenDiffusion](https://t.me/TokenDiff) - AI for every home, creativity for every mind!\n\n### [TokenDiff Community Hub](https://t.me/TokenDiff_hub) - Questions, help, and thoughtful discussion. "
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