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- "## Main Model\n\nKrea 2 Raw / Turbo.\n\n[Bf16, FP8 & INT8 versions](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models)\n\n[Raw GGUF versions](https://huggingface.co/vantagewithai/Krea-2-Raw-GGUF/tree/main)\n\n[Turbo GGUF versions](https://huggingface.co/vantagewithai/Krea-2-Turbo-GGUF/tree/main)\n\nFor this workflow you can use the RAW model + turbo lora, or a turbo main model.\n\nINT8 Convrot is recommended if you can use it. BF16 is higher quality, but it's slower and twice as large.\n\nGoes in models/diffusion_models\n\n## Turbo Lora\n\n[Rank 64 Turbo Lora](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_turbo_lora_rank_64_bf16.safetensors)\n\nRequired when using the RAW model. Set it to 1.0 strength for this workflow.\n\nSkip this if you're using a turbo main model / finetune.\n\nGoes in models/loras\n\n## Anti-Censorship Lora\n\n[2 Vector Bypass Lora](https://civitai.com/models/2728234/krea2filterbypass?modelVersionId=3066812)\n\nRequired if you want the model to work properly, even for SFW prompts, unless you're using a full NSFW finetune. Set it to only 1.0 strength most of the time. Leave it on even for SFW prompts, especially when you want strong facial expressions.\n\nGoes in models/loras\n\n## Text Encoder\n\n[Qwen 3 VL 4B](https://huggingface.co/Comfy-Org/Krea-2/tree/main/text_encoders)\n\nUse BF16 if you can, it'll give sharper results. Use INT8 Convrot if you have less than 32GB of *normal* RAM (not VRAM).\n\nGoes in models/text_encoders\n\n## VAE\n\n[Wan 2.1 FP32 VAE (RECOMMENDED)](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_fp32.safetensors)\n\nThe FP32 Wan VAE gives sharper results and has no downsides.\n\n\n[Wan 2.1 Upscale2x VAE (OPTIONAL)](https://huggingface.co/spacepxl/Wan2.1-VAE-upscale2x/blob/main/Wan2.1_VAE_upscale2x_imageonly_real_v1.safetensors)\n\nThis gives even sharper results than the regular Wan 2.1 FP32 VAE, but it also introduces noise & artifacts to the image.\n\nTo use it, you need the VAE-Utils Comfy node set installed so you can use the 'VAE Decode (VAE Utils)' node instead of the normal vae decoder. You also need to downscale your image by 0.5 afterwards (the VAE doubles the resolution).\n\n[Qwen Image VAE (OPTIONAL)](https://huggingface.co/Comfy-Org/Krea-2/tree/main/vae)\n\nThe qwen image VAE is the 'normal' one for Krea 2. It gives blurrier results than the Wan 2.1 FP32 VAE, but you may prefer it this way if you plan to post-process your images.\n\nGoes in models/vae"
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- "text": "## Main Model\n\nKrea 2 Raw / Turbo.\n\n[Bf16, FP8 & INT8 versions](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models)\n\n[Raw GGUF versions](https://huggingface.co/vantagewithai/Krea-2-Raw-GGUF/tree/main)\n\n[Turbo GGUF versions](https://huggingface.co/vantagewithai/Krea-2-Turbo-GGUF/tree/main)\n\nFor this workflow you can use the RAW model + turbo lora, or a turbo main model.\n\nINT8 Convrot is recommended if you can use it. BF16 is higher quality, but it's slower and twice as large.\n\nGoes in models/diffusion_models\n\n## Turbo Lora\n\n[Rank 64 Turbo Lora](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_turbo_lora_rank_64_bf16.safetensors)\n\nRequired when using the RAW model. Set it to 1.0 strength for this workflow.\n\nSkip this if you're using a turbo main model / finetune.\n\nGoes in models/loras\n\n## Anti-Censorship Lora\n\n[2 Vector Bypass Lora](https://civitai.com/models/2728234/krea2filterbypass?modelVersionId=3066812)\n\nRequired if you want the model to work properly, even for SFW prompts, unless you're using a full NSFW finetune. Set it to only 1.0 strength most of the time. Leave it on even for SFW prompts, especially when you want strong facial expressions.\n\nGoes in models/loras\n\n## Text Encoder\n\n[Qwen 3 VL 4B](https://huggingface.co/Comfy-Org/Krea-2/tree/main/text_encoders)\n\nUse BF16 if you can, it'll give sharper results. Use INT8 Convrot if you have less than 32GB of *normal* RAM (not VRAM).\n\nGoes in models/text_encoders\n\n## VAE\n\n[Wan 2.1 FP32 VAE (RECOMMENDED)](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_fp32.safetensors)\n\nThe FP32 Wan VAE gives sharper results and has no downsides.\n\n\n[Wan 2.1 Upscale2x VAE (OPTIONAL)](https://huggingface.co/spacepxl/Wan2.1-VAE-upscale2x/blob/main/Wan2.1_VAE_upscale2x_imageonly_real_v1.safetensors)\n\nThis gives even sharper results than the regular Wan 2.1 FP32 VAE, but it also introduces noise & artifacts to the image.\n\nTo use it, you need the VAE-Utils Comfy node set installed so you can use the 'VAE Decode (VAE Utils)' node instead of the normal vae decoder. You also need to downscale your image by 0.5 afterwards (the VAE doubles the resolution).\n\n[Qwen Image VAE (OPTIONAL)](https://huggingface.co/Comfy-Org/Krea-2/tree/main/vae)\n\nThe qwen image VAE is the 'normal' one for Krea 2. It gives blurrier results than the Wan 2.1 FP32 VAE, but you may prefer it this way if you plan to post-process your images.\n\nGoes in models/vae"
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- "The euler sampler seems best for Krea 2 Turbo, including most finetunes. The best scheduler depends on whether you're doing realism or not, and the particular finetune as well.\n\nFor **realism**, generally use the *simple* scheduler.\n\nFor **non-realism** (anime/illustration/etc), generally use the *beta* scheduler.\n\nSome finetunes break this trend, so you should experiment with each one."
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