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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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- "### Full image-to-image\n\nIf you set invert_mask to TRUE and don't provide any mask, it'll do a full image-to-image run\n\n### Steps & Denoise\n\nKrea 2 Turbo is very finnicky, you'll have to adjust both of these as you go.\n\nGenerally you'll want something around 1 step per ~12 denoise, but you'll want to tune it as you go.\n\n### Full inpainting\n\nIf you want to fully inpaint something, DON'T use denoise 100. Stick with around 80-85 denoise & 7 steps.\n\nThis will get you close-ish, then you should do another pass over it (or several passes) to refine the area until you're happy with it.\n\nIf you do denoise 100 the model will probably ignore all the context and do something weird."
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