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Krea2_turbo workflow (2-stage gen, SD upscale, Civitai metadata, Post-process)

Krea2_turbo workflow (2-stage gen, SD upscale, Civitai metadata, Post-process)
Krea2_turbo workflow (2-stage gen, SD upscale, Civitai metadata, Post-process)
⚠️ DISCLAIMER ⚠️I'm not a workflow builder or a ComfyUI expert. This is the same workflow I personally use (well, almost the same, hehehe).It doesn't claim to be the "best" or anything like that. I'm only sharing it beca…
图像
42 个节点 areyouokay 157 KB
需要的权重
这个工作流引用了 1 个权重文件,其中 0 个能在本站模型库里找到。
KREA2_areyouokay_v1.json
模型库暂未收录
节点构成
MarkdownNote
× 8
Any Switch (rgthree)
× 6
Image Comparer (rgthree)
× 4
Context Big (rgthree)
× 2
FancyTimerNode
× 1
EmptyLatentImage
× 1
PreviewImage
× 1
VAELoader
× 1
CLIPLoader
× 1
Fast Groups Muter (rgthree)
× 1
CRT Post-Process Suite
× 1
cfbf14fc-0669-4336-9a08-c9f3cdf9e5fd
× 1
Power Lora Loader (rgthree)
× 1
PrimitiveStringMultiline
× 1
Seed (rgthree)
× 1
UNETLoader
× 1
官方标注的模型
1x-ITF-SkinDiffDetail-Lite-v1.pth4xNomos8k_atd_jpg.safetensorsBSS_DesireX3_INT8_ConvRot.safetensorsbig-lama.ptface_yolov8m.ptqwen3vl_4b_fp8_scaled.safetensorsqwen_image_vae.safetensorssam_vit_b_01ec64.pth
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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3677 {
3678 "dir": 4,
3679 "name": "STEPS",
3680 "type": "INT",
3681 "links": []
3682 },
3683 {
3684 "dir": 4,
3685 "name": "STEP_REFINER",
3686 "type": "INT",
3687 "links": []
3688 },
3689 {
3690 "dir": 4,
3691 "name": "CFG",
3692 "type": "FLOAT",
3693 "links": []
3694 },
3695 {
3696 "dir": 4,
3697 "name": "CKPT_NAME",
3698 "type": "COMBO",
3699 "links": []
3700 },
3701 {
3702 "dir": 4,
3703 "name": "SAMPLER",
3704 "type": "COMBO",
3705 "links": []
3706 },
3707 {
3708 "dir": 4,
3709 "name": "SCHEDULER",
3710 "type": "COMBO",
3711 "links": []
3712 },
3713 {
3714 "dir": 4,
3715 "name": "CLIP_WIDTH",
3716 "type": "INT",
3717 "links": []
3718 },
3719 {
3720 "dir": 4,
3721 "name": "CLIP_HEIGHT",
3722 "type": "INT",
3723 "links": []
3724 },
3725 {
3726 "dir": 4,
3727 "name": "TEXT_POS_G",
3728 "type": "STRING",
3729 "links": []
3730 },
3731 {
3732 "dir": 4,
3733 "name": "TEXT_POS_L",
3734 "type": "STRING",
3735 "links": []
3736 },
3737 {
3738 "dir": 4,
3739 "name": "TEXT_NEG_G",
3740 "type": "STRING",
3741 "links": []
3742 },
3743 {
3744 "dir": 4,
3745 "name": "TEXT_NEG_L",
3746 "type": "STRING",
3747 "links": []
3748 },
3749 {
3750 "dir": 4,
3751 "name": "MASK",
3752 "type": "MASK",
3753 "links": []
3754 },
3755 {
3756 "dir": 4,
3757 "name": "CONTROL_NET",
3758 "type": "CONTROL_NET",
3759 "links": []
3760 }
3761 ],
3762 "title": "Shared Context",
3763 "properties": {
3764 "cnr_id": "rgthree-comfy",
3765 "ver": "d7297b42f0fa78bec1c0411478f887423c249502",
3766 "Node name for S&R": "Context Big (rgthree)"
3767 }
3768 },
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3786 "properties": {
3787 "Node name for S&R": "MarkdownNote"
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3789 "widgets_values": [
3790 "## Models & Setup\n\nSelect a compatible **Krea 2-turbo** diffusion model, text encoder and VAE.\n\n### Model Links\n- **Diffusion model:** [Official Krea 2 models](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models).\n- **Text encoder:** [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors).\n- **VAE:** [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n- **Face detailer:** [face_yolov8m.pt](https://huggingface.co/Bingsu/adetailer/resolve/main/face_yolov8m.pt) and [sam_vit_b_01ec64.pth](https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth) \n- **LaMa Object Removal:** [big-lama.pt](https://github.com/Sanster/models/releases/download/add_big_lama/big-lama.pt)\n\n### Model Storage\n## 📁 Model Storage Location\n\n```text\n📁 ComfyUI/models/\n├─ 📁 diffusion_models/\n│ └─ krea2_turbo_fp8.safetensors\n├─ 📁 text_encoders/\n│ └─ qwen3vl_4b_fp8_scaled.safetensors\n├─ 📁 vae/\n│ └─ qwen_image_vae.safetensors\n├─ 📁 loras/\n│ └─ \n├─ 📁 upscale_models/\n│ └─ \n├─ 📁 ultralytics/bbox/\n│ └─ face_yolov8m.pt\n├─ 📁 sams/\n│ └─ sam_vit_b_01ec64.pth\n└─ 📁 inpaint/\n └─ big-lama.pt\n```\n\n| Nodepack | For what |\n|---|---|\n| [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) | LoRA Loader, switchers, Context, Power Puter, Images comparers |\n| [RES4LYF](https://github.com/ClownsharkBatwing/RES4LYF) | Clownshark Samplers |\n| [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver) | Save with metadata for Civitai |\n| [ComfyUI-Krea2-Enhancer](https://github.com/K3nt3L/ComfyUI-Krea2-Enhancer) | Optional Krea2 Enhancer |\n| [ComfyUI_UltimateSDUpscale](https://github.com/ssitu/ComfyUI_UltimateSDUpscale) | SD Upscale |\n| [ComfyUI-Impact-Pack](https://github.com/comfyorg/comfyui-impact-pack) | Face Detailer, SAM Loader и Preview Bridge |\n| [ComfyUI-Impact-Subpack](https://github.com/comfyorg/comfyui-impact-subpack) | YOLO-face detector loader |\n| [comfyui-inpaint-nodes](https://github.com/Acly/comfyui-inpaint-nodes) | LaMa and mask processing |\n| [CRT-Nodes](https://github.com/PGCRT/CRT-Nodes) | Post-processing and timer |\n"
3791 ],
3792 "widgets_values_named": {
3793 "text": "## Models & Setup\n\nSelect a compatible **Krea 2-turbo** diffusion model, text encoder and VAE.\n\n### Model Links\n- **Diffusion model:** [Official Krea 2 models](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models).\n- **Text encoder:** [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors).\n- **VAE:** [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n- **Face detailer:** [face_yolov8m.pt](https://huggingface.co/Bingsu/adetailer/resolve/main/face_yolov8m.pt) and [sam_vit_b_01ec64.pth](https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth) \n- **LaMa Object Removal:** [big-lama.pt](https://github.com/Sanster/models/releases/download/add_big_lama/big-lama.pt)\n\n### Model Storage\n## 📁 Model Storage Location\n\n```text\n📁 ComfyUI/models/\n├─ 📁 diffusion_models/\n│ └─ krea2_turbo_fp8.safetensors\n├─ 📁 text_encoders/\n│ └─ qwen3vl_4b_fp8_scaled.safetensors\n├─ 📁 vae/\n│ └─ qwen_image_vae.safetensors\n├─ 📁 loras/\n│ └─ \n├─ 📁 upscale_models/\n│ └─ \n├─ 📁 ultralytics/bbox/\n│ └─ face_yolov8m.pt\n├─ 📁 sams/\n│ └─ sam_vit_b_01ec64.pth\n└─ 📁 inpaint/\n └─ big-lama.pt\n```\n\n| Nodepack | For what |\n|---|---|\n| [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) | LoRA Loader, switchers, Context, Power Puter, Images comparers |\n| [RES4LYF](https://github.com/ClownsharkBatwing/RES4LYF) | Clownshark Samplers |\n| [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver) | Save with metadata for Civitai |\n| [ComfyUI-Krea2-Enhancer](https://github.com/K3nt3L/ComfyUI-Krea2-Enhancer) | Optional Krea2 Enhancer |\n| [ComfyUI_UltimateSDUpscale](https://github.com/ssitu/ComfyUI_UltimateSDUpscale) | SD Upscale |\n| [ComfyUI-Impact-Pack](https://github.com/comfyorg/comfyui-impact-pack) | Face Detailer, SAM Loader и Preview Bridge |\n| [ComfyUI-Impact-Subpack](https://github.com/comfyorg/comfyui-impact-subpack) | YOLO-face detector loader |\n| [comfyui-inpaint-nodes](https://github.com/Acly/comfyui-inpaint-nodes) | LaMa and mask processing |\n| [CRT-Nodes](https://github.com/PGCRT/CRT-Nodes) | Post-processing and timer |\n"
3794 },
3795 "color": "#432",
3796 "bgcolor": "#653"
3797 },
3798 {
3799 "id": 629,
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3809 "flags": [],
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3812 "inputs": [],
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3815 "properties": {
3816 "Node name for S&R": "MarkdownNote"
3817 },
3818 "widgets_values": [
3819 "## Two-Pass Generation\n\nEnter your **Prompt**, select a **Seed**, then set **Resolution**.\n\n**Resolution is the size AFTER the second pass, BEFORE optional SD Upscale.** Use dimensions divisible by **16**.\n\n### How It Works\nThe first sampler generates a smaller image. Its latent is resized to the target dimensions, then the second sampler refines it using the remaining part of the noise schedule.\n\n### Main Settings\n- **first_scale:** first-pass width and height relative to the target. For example, 0.65 means approximately 65% of each target side.\n- **total_steps:** combined step count for both passes.\n- **split_step:** steps used by the first pass; the second uses the remainder. Keep this below total_steps.\n- **shift:** changes the noise schedule.\n\nKeep first_scale strictly between 0 and 1.\n\nDon't change the values too much if you don't know how they work. I don't 🙃\n\n**Generation info** displays the calculated dimensions and step split.\n\nUse **Fast Groups Muter** to toggle optional stages.\n"
3820 ],
3821 "widgets_values_named": {
3822 "text": "## Two-Pass Generation\n\nEnter your **Prompt**, select a **Seed**, then set **Resolution**.\n\n**Resolution is the size AFTER the second pass, BEFORE optional SD Upscale.** Use dimensions divisible by **16**.\n\n### How It Works\nThe first sampler generates a smaller image. Its latent is resized to the target dimensions, then the second sampler refines it using the remaining part of the noise schedule.\n\n### Main Settings\n- **first_scale:** first-pass width and height relative to the target. For example, 0.65 means approximately 65% of each target side.\n- **total_steps:** combined step count for both passes.\n- **split_step:** steps used by the first pass; the second uses the remainder. Keep this below total_steps.\n- **shift:** changes the noise schedule.\n\nKeep first_scale strictly between 0 and 1.\n\nDon't change the values too much if you don't know how they work. I don't 🙃\n\n**Generation info** displays the calculated dimensions and step split.\n\nUse **Fast Groups Muter** to toggle optional stages.\n"
3823 },
3824 "color": "#432",
3825 "bgcolor": "#653"
3826 },
3827 {
3828 "id": 630,
3829 "type": "MarkdownNote",
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3837 ],
3838 "flags": [],
3839 "order": 10,
3840 "mode": 0,
3841 "inputs": [],
3842 "outputs": [],
3843 "title": "useless information",
3844 "properties": {
3845 "Node name for S&R": "MarkdownNote"
3846 },
3847 "widgets_values": [
3848 "## SD Upscale\n\nEnable this block using **Fast Groups Muter**.\n\n- **upscale_by:** output scale. Example: 1024x1536 at 1.5x becomes 1536x2304.\n- **steps:** redraw steps per tile.\n- **denoise:** redraw strength.\n- **text:** a separate tile-refinement prompt.\n\n### Tile Size\n- **Auto tile size ON:** sizes are calculated automatically; **Max Tile Size** caps each side.\n- **OFF:** uses **Manual Tile Width / Height**. The automatic cap is ignored.\n\nLower the active tile size if VRAM runs out.\n\n### Model\nI use this model:\n[4xNomos8k_atd_jpg.safetensors](https://huggingface.co/Phips/4xNomos8k_atd_jpg/blob/main/4xNomos8k_atd_jpg.safetensors)\n\nYou can use others.\n\nSometimes changing the scheduler can either improve or worsen the result\n\n\n"
3849 ],
3850 "widgets_values_named": {
3851 "text": "## SD Upscale\n\nEnable this block using **Fast Groups Muter**.\n\n- **upscale_by:** output scale. Example: 1024x1536 at 1.5x becomes 1536x2304.\n- **steps:** redraw steps per tile.\n- **denoise:** redraw strength.\n- **text:** a separate tile-refinement prompt.\n\n### Tile Size\n- **Auto tile size ON:** sizes are calculated automatically; **Max Tile Size** caps each side.\n- **OFF:** uses **Manual Tile Width / Height**. The automatic cap is ignored.\n\nLower the active tile size if VRAM runs out.\n\n### Model\nI use this model:\n[4xNomos8k_atd_jpg.safetensors](https://huggingface.co/Phips/4xNomos8k_atd_jpg/blob/main/4xNomos8k_atd_jpg.safetensors)\n\nYou can use others.\n\nSometimes changing the scheduler can either improve or worsen the result\n\n\n"
3852 },
3853 "color": "#432",
3854 "bgcolor": "#653"
3855 },
3856 {
3857 "id": 631,
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3866 ],
3867 "flags": [],
3868 "order": 11,
3869 "mode": 0,
3870 "inputs": [],
3871 "outputs": [],
3872 "title": "useless information",
3873 "properties": {
3874 "Node name for S&R": "MarkdownNote"
3875 },
3876 "widgets_values": [
3877 "## Face Detailer\n\nEnable this block to detect and refine faces.\n\n- **Detailer prompt:** describe the facial details you want to refine.\n- **denoise:** lower values preserve the original appearance; higher values allow stronger changes.\n- **steps:** sampling steps for each detected face.\n- **seed:** controls this stage separately from the main generation seed.\n\nCompare **before / after** to check whether the result improves the face.\n\nVary the steps and denoise values depending on the composition. If the face is small relative to the overall frame, you may need to increase the steps, and vice versa.\n\nSometimes changing the scheduler can either improve or worsen the result"
3878 ],
3879 "widgets_values_named": {
3880 "text": "## Face Detailer\n\nEnable this block to detect and refine faces.\n\n- **Detailer prompt:** describe the facial details you want to refine.\n- **denoise:** lower values preserve the original appearance; higher values allow stronger changes.\n- **steps:** sampling steps for each detected face.\n- **seed:** controls this stage separately from the main generation seed.\n\nCompare **before / after** to check whether the result improves the face.\n\nVary the steps and denoise values depending on the composition. If the face is small relative to the overall frame, you may need to increase the steps, and vice versa.\n\nSometimes changing the scheduler can either improve or worsen the result"
3881 },
3882 "color": "#432",
3883 "bgcolor": "#653"
3884 },
3885 {
3886 "id": 632,
3887 "type": "MarkdownNote",
3888 "pos": [
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3891 ],
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3895 ],
3896 "flags": [],
3897 "order": 12,
3898 "mode": 0,
3899 "inputs": [],
3900 "outputs": [],
3901 "title": "useless information",
3902 "properties": {
3903 "Node name for S&R": "MarkdownNote"
3904 },
3905 "widgets_values": [
3906 "## LaMa Object Removal\n\nRemoves unwanted objects using a painted mask; no text prompt is required.\n\n1. Enable this block and run once to populate **Preview Bridge**.\n2. Open the Preview Bridge image in **Mask Editor** (**Right-click on the preview - Open in MaskEditor** or **Left-click on the preview - half-filled circle on the panel that appears above the node**)\n3. Paint over the unwanted object and save the mask.\n4. Run again to fill the selected area.\n\n### Settings\n- **Removal mask grow:** expands the removal area.\n- **Removal mask blur:** softens its edge.\n- **Context margin:** includes more surrounding image for the fill.\n\nDisable this block if removal is not required, otherwise generation will stop until the mask is drawn.\n"
3907 ],
3908 "widgets_values_named": {
3909 "text": "## LaMa Object Removal\n\nRemoves unwanted objects using a painted mask; no text prompt is required.\n\n1. Enable this block and run once to populate **Preview Bridge**.\n2. Open the Preview Bridge image in **Mask Editor** (**Right-click on the preview - Open in MaskEditor** or **Left-click on the preview - half-filled circle on the panel that appears above the node**)\n3. Paint over the unwanted object and save the mask.\n4. Run again to fill the selected area.\n\n### Settings\n- **Removal mask grow:** expands the removal area.\n- **Removal mask blur:** softens its edge.\n- **Context margin:** includes more surrounding image for the fill.\n\nDisable this block if removal is not required, otherwise generation will stop until the mask is drawn.\n"
3910 },
3911 "color": "#432",
3912 "bgcolor": "#653"
3913 },
3914 {
3915 "id": 633,
3916 "type": "MarkdownNote",
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3925 "flags": [],
3926 "order": 13,
3927 "mode": 0,
3928 "inputs": [],
3929 "outputs": [],
3930 "title": "useless information",
3931 "properties": {
3932 "Node name for S&R": "MarkdownNote"
3933 },
3934 "widgets_values": [
3935 "## Post-Process\n\nEnable this block using **Fast Groups Muter**, then open the desired sections in **CRT Post-Process Suite**.\n\nAdjust color, sharpening, grain and other finishing effects. Use the comparison preview to check the result. Strong sharpening can exaggerate skin texture and artifacts.\n\n\n\n"
3936 ],
3937 "widgets_values_named": {
3938 "text": "## Post-Process\n\nEnable this block using **Fast Groups Muter**, then open the desired sections in **CRT Post-Process Suite**.\n\nAdjust color, sharpening, grain and other finishing effects. Use the comparison preview to check the result. Strong sharpening can exaggerate skin texture and artifacts.\n\n\n\n"
3939 },
3940 "color": "#432",
3941 "bgcolor": "#653"
3942 },
3943 {
3944 "id": 634,
3945 "type": "MarkdownNote",
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3950 "size": [
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3952 420
3953 ],
3954 "flags": [],
3955 "order": 14,
3956 "mode": 0,
3957 "inputs": [],
3958 "outputs": [],
3959 "title": "useless information",
3960 "properties": {
3961 "Node name for S&R": "MarkdownNote"
3962 },
3963 "widgets_values": [
3964 "## Save Method\n\nUse OPTION 5 - METADATA in Fast Groups Muter:\n\n- ON: the Civitai Image Saver saves the image. The standard Save Image is automatically blocked.\n- OFF or deleted: the standard Save Image saves the final image automatically.\n\nStandard PNG folder: ComfyUI/output/Krea2/.\n \nCivitai PNG folder: ComfyUI/output/CivitAI/.\n\nKeep this Save Image node and CORE ROUTING. Do not manually bypass the save-routing nodes.\n\nEnable the **\"embed_workflow\"** switch to enable the embedded workflow in PNG (no way! are you serious?! thanks, Captain Obvious!)\n\nStandard PNGs retain normal ComfyUI workflow data unless disabled in launch settings.\n## Civitai Metadata + Save (Optional)\n\nDisable or delete this entire block to use the standard Save Image node automatically. No reconnecting is needed; only one saver writes a file per image.\n\nAfter deleting this block, **ComfyUI-Image-Saver** nodepack is no longer required.\n\nKeep SAVE IMAGE and CORE ROUTING."
3965 ],
3966 "widgets_values_named": {
3967 "text": "## Save Method\n\nUse OPTION 5 - METADATA in Fast Groups Muter:\n\n- ON: the Civitai Image Saver saves the image. The standard Save Image is automatically blocked.\n- OFF or deleted: the standard Save Image saves the final image automatically.\n\nStandard PNG folder: ComfyUI/output/Krea2/.\n \nCivitai PNG folder: ComfyUI/output/CivitAI/.\n\nKeep this Save Image node and CORE ROUTING. Do not manually bypass the save-routing nodes.\n\nEnable the **\"embed_workflow\"** switch to enable the embedded workflow in PNG (no way! are you serious?! thanks, Captain Obvious!)\n\nStandard PNGs retain normal ComfyUI workflow data unless disabled in launch settings.\n## Civitai Metadata + Save (Optional)\n\nDisable or delete this entire block to use the standard Save Image node automatically. No reconnecting is needed; only one saver writes a file per image.\n\nAfter deleting this block, **ComfyUI-Image-Saver** nodepack is no longer required.\n\nKeep SAVE IMAGE and CORE ROUTING."
3968 },
3969 "color": "#432",
3970 "bgcolor": "#653"
3971 },
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3973 "id": 635,
3974 "type": "MarkdownNote",
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3983 "flags": [],
3984 "order": 15,
3985 "mode": 0,
3986 "inputs": [],
3987 "outputs": [],
3988 "title": "useless information",
3989 "properties": {
3990 "Node name for S&R": "MarkdownNote"
3991 },
3992 "widgets_values": [
3993 "## Core Routing\n\nAutomatically selects the available model, final image and saving method.\n\nKeep the Auto switches, Context nodes, Auto - Standard Save and Auto - Save Routing intact.\n\nOptional processing blocks and OPTION 5 - METADATA can be deleted with their nodes. Keep SAVE IMAGE to retain automatic fallback saving.\n\nKeep OPTION 1 - ... through OPTION 5 - ... group prefixes unchanged."
3994 ],
3995 "widgets_values_named": {
3996 "text": "## Core Routing\n\nAutomatically selects the available model, final image and saving method.\n\nKeep the Auto switches, Context nodes, Auto - Standard Save and Auto - Save Routing intact.\n\nOptional processing blocks and OPTION 5 - METADATA can be deleted with their nodes. Keep SAVE IMAGE to retain automatic fallback saving.\n\nKeep OPTION 1 - ... through OPTION 5 - ... group prefixes unchanged."
3997 },
3998 "color": "#432",
3999 "bgcolor": "#653"
4000 },
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4002 "id": 636,
4003 "type": "SaveImage",
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4006 1140
4007 ],
4008 "size": [
4009 420,
4010 500
4011 ],
4012 "flags": [],
4013 "order": 41,
4014 "mode": 0,
4015 "inputs": [
4016 {
4017 "localized_name": "images",
4018 "name": "images",
4019 "type": "IMAGE",
4020 "link": 15794
4021 },
4022 {
4023 "localized_name": "filename_prefix",
4024 "name": "filename_prefix",
4025 "type": "STRING",
4026 "widget": {
4027 "name": "filename_prefix"
4028 },
4029 "link": null
4030 }
4031 ],
4032 "outputs": [
4033 {
4034 "localized_name": "images",
4035 "name": "images",
4036 "type": "IMAGE",
4037 "links": []
4038 }
4039 ],
4040 "properties": {
4041 "cnr_id": "comfy-core",
4042 "ver": "0.45.0",
4043 "Node name for S&R": "SaveImage"
4044 },
4045 "widgets_values": [
4046 "Krea2/Krea2"
4047 ],
4048 "widgets_values_named": {
4049 "filename_prefix": "Krea2/Krea2"
4050 }
4051 },
4052 {
4053 "id": 637,
4054 "type": "Power Puter (rgthree)",
4055 "pos": [
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4058 ],
4059 "size": [
4060 220,
4061 130
4062 ],
4063 "flags": {
4064 "collapsed": true
4065 },
4066 "order": 39,
4067 "mode": 0,
4068 "inputs": [
4069 {
4070 "name": "a",
4071 "type": "BOOLEAN",
4072 "link": 15791
4073 },
4074 {
4075 "name": "b",
4076 "type": "*",
4077 "link": null
4078 }
4079 ],
4080 "outputs": [
4081 {
4082 "label": "BOOLEAN",
4083 "name": "*",
4084 "type": "BOOLEAN",
4085 "links": [
4086 15792
4087 ]
4088 }
4089 ],
4090 "title": "Auto - Standard Save",
4091 "properties": {
4092 "cnr_id": "rgthree-comfy",
4093 "ver": "d7297b42f0fa78bec1c0411478f887423c249502",
4094 "Node name for S&R": "Power Puter (rgthree)",
4095 "aux_id": "rgthree/rgthree-comfy"
4096 },
4097 "widgets_values": [
4098 {
4099 "outputs": [
4100 "BOOLEAN"
4101 ]
4102 },
4103 "return not bool(a)"
4104 ],
4105 "widgets_values_named": {
4106 "outputs": {
4107 "outputs": [
4108 "BOOLEAN"
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5699 },
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5704 },
5705 {
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5714 "name": "*",
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5716 "type": "INT",
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5825 "type": "EmptyLatentImage",
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5850 "type": "INT",
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5855 },
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5859 "type": "INT",
5860 "widget": {
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5862 },
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5870 "type": "LATENT",
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5873 ]
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5890 }
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5926 "type": "COMBO",
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6113 "SIGMAS",
6114 "INT",
6115 "INT"
6116 ]
6117 },
6118 "k = int(b)\nfirst = a[0:k+1].clone()\nsecond = a[k:len(a)].clone()\nfirst[-1] = 0.0\nreturn (first, second, k, len(a)-1-k)"
6119 ],
6120 "widgets_values_named": {
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6122 "outputs": [
6123 "SIGMAS",
6124 "SIGMAS",
6125 "INT",
6126 "INT"
6127 ]
6128 },
6129 "code": "k = int(b)\nfirst = a[0:k+1].clone()\nsecond = a[k:len(a)].clone()\nfirst[-1] = 0.0\nreturn (first, second, k, len(a)-1-k)"
6130 }
6131 },
6132 {
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6134 "type": "ClownsharKSampler_Beta",
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6137 122.97520661157023
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6141 460
6142 ],
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6145 "mode": 0,
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6149 "name": "model",
6150 "shape": 7,
6151 "type": "MODEL",
6152 "link": 23
6153 },
6154 {
6155 "localized_name": "positive",
6156 "name": "positive",
6157 "shape": 7,
6158 "type": "CONDITIONING",
6159 "link": 24
6160 },
6161 {
6162 "localized_name": "negative",
6163 "name": "negative",
6164 "shape": 7,
6165 "type": "CONDITIONING",
6166 "link": 25
6167 },
6168 {
6169 "localized_name": "latent_image",
6170 "name": "latent_image",
6171 "shape": 7,
6172 "type": "LATENT",
6173 "link": 33
6174 },
6175 {
6176 "localized_name": "sigmas",
6177 "name": "sigmas",
6178 "shape": 7,
6179 "type": "SIGMAS",
6180 "link": 27
6181 },
6182 {
6183 "localized_name": "guides",
6184 "name": "guides",
6185 "shape": 7,
6186 "type": "GUIDES",
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6188 },
6189 {
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6191 "localized_name": "options0",
6192 "name": "options_group.options0",
6193 "shape": 7,
6194 "type": "OPTIONS",
6195 "link": null
6196 },
6197 {
6198 "localized_name": "eta",
6199 "name": "eta",
6200 "type": "FLOAT",
6201 "widget": {
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6203 },
6204 "link": 30
6205 },
6206 {
6207 "localized_name": "sampler_name",
6208 "name": "sampler_name",
6209 "type": "COMBO",
6210 "widget": {
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6212 },
6213 "link": 31
6214 },
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6219 "widget": {
6220 "name": "scheduler"
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6222 "link": 32
6223 },
6224 {
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6226 "name": "steps",
6227 "type": "INT",
6228 "widget": {
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6230 },
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6232 },
6233 {
6234 "localized_name": "steps_to_run",
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6236 "type": "INT",
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6240 "link": null
6241 },
6242 {
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6246 "widget": {
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6250 },
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6254 "type": "FLOAT",
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6259 },
6260 {
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6262 "name": "seed",
6263 "type": "INT",
6264 "widget": {
6265 "name": "seed"
6266 },
6267 "link": 26
6268 },
6269 {
6270 "localized_name": "sampler_mode",
6271 "name": "sampler_mode",
6272 "type": "COMBO",
6273 "widget": {
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6276 "link": null
6277 },
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6280 "name": "bongmath",
6281 "type": "BOOLEAN",
6282 "widget": {
6283 "name": "bongmath"
6284 },
6285 "link": null
6286 },
6287 {
6288 "localized_name": "options",
6289 "name": "options",
6290 "shape": 7,
6291 "type": "OPTIONS",
6292 "link": null
6293 }
6294 ],
6295 "outputs": [
6296 {
6297 "localized_name": "output",
6298 "name": "output",
6299 "type": "LATENT",
6300 "links": [
6301 34
6302 ]
6303 },
6304 {
6305 "localized_name": "denoised",
6306 "name": "denoised",
6307 "type": "LATENT",
6308 "links": []
6309 },
6310 {
6311 "localized_name": "options",
6312 "name": "options",
6313 "type": "OPTIONS",
6314 "links": []
6315 }
6316 ],
6317 "title": "1st pass",
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6320 "ver": "119679d8d8d26e6db52757e705488abb6399d7d4",
6321 "Node name for S&R": "ClownsharKSampler_Beta",
6322 "aux_id": "ClownsharkBatwing/RES4LYF"
6323 },
6324 "widgets_values": [
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6326 "linear/euler",
6327 "simple",
6328 4,
6329 -1,
6330 1,
6331 1,
6332 42,
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6334 "standard",
6335 true
6336 ],
6337 "widgets_values_named": {
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6339 "sampler_name": "linear/euler",
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6341 "steps": 4,
6342 "steps_to_run": -1,
6343 "denoise": 1,
6344 "cfg": 1,
6345 "seed": 42,
6346 "control_after_generate": "fixed",
6347 "sampler_mode": "standard",
6348 "bongmath": true
6349 }
6350 },
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6353 "type": "Power Puter (rgthree)",
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6357 ],
6358 "size": [
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6361 ],
6362 "flags": [],
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6364 "mode": 0,
6365 "inputs": [
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6368 "type": "*",
6369 "link": 34
6370 },
6371 {
6372 "name": "b",
6373 "type": "*",
6374 "link": null
6375 }
6376 ],
6377 "outputs": [
6378 {
6379 "label": "Clean Latent",
6380 "name": "*",
6381 "shape": 3,
6382 "type": "LATENT",
6383 "links": [
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6385 49
6386 ]
6387 }
6388 ],
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6394 },
6395 "widgets_values": [
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6397 "outputs": [
6398 "LATENT"
6399 ]
6400 },
6401 "return {\"samples\": a[\"samples\"]}"
6402 ],
6403 "widgets_values_named": {
6404 "outputs": {
6405 "outputs": [
6406 "LATENT"
6407 ]
6408 },
6409 "code": "return {\"samples\": a[\"samples\"]}"
6410 }
6411 },
6412 {
6413 "id": 596,
6414 "type": "LatentUpscale",
6415 "pos": [
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6417 -70
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6419 "size": [
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6421 130
6422 ],
6423 "flags": [],
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6425 "mode": 0,
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6428 "localized_name": "samples",
6429 "name": "samples",
6430 "type": "LATENT",
6431 "link": 35
6432 },
6433 {
6434 "localized_name": "upscale_method",
6435 "name": "upscale_method",
6436 "type": "COMBO",
6437 "widget": {
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6439 },
6440 "link": null
6441 },
6442 {
6443 "localized_name": "width",
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6446 "widget": {
6447 "name": "width"
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6449 "link": 36
6450 },
6451 {
6452 "localized_name": "height",
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6454 "type": "INT",
6455 "widget": {
6456 "name": "height"
6457 },
6458 "link": 37
6459 },
6460 {
6461 "localized_name": "crop",
6462 "name": "crop",
6463 "type": "COMBO",
6464 "widget": {
6465 "name": "crop"
6466 },
6467 "link": null
6468 }
6469 ],
6470 "outputs": [
6471 {
6472 "localized_name": "LATENT",
6473 "name": "LATENT",
6474 "type": "LATENT",
6475 "links": [
6476 48
6477 ]
6478 }
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6483 "Node name for S&R": "LatentUpscale"
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6491 "widgets_values_named": {
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6493 "width": 1024,
6494 "height": 1536,
6495 "crop": "disabled"
6496 }
6497 },
6498 {
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6500 "type": "ClownsharKSampler_Beta",
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6503 130
6504 ],
6505 "size": [
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6507 440
6508 ],
6509 "flags": [],
6510 "order": 16,
6511 "mode": 0,
6512 "inputs": [
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6515 "name": "model",
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6517 "type": "MODEL",
6518 "link": 38
6519 },
6520 {
6521 "localized_name": "positive",
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6524 "type": "CONDITIONING",
6525 "link": 39
6526 },
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6528 "localized_name": "negative",
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6531 "type": "CONDITIONING",
6532 "link": 40
6533 },
6534 {
6535 "localized_name": "latent_image",
6536 "name": "latent_image",
6537 "shape": 7,
6538 "type": "LATENT",
6539 "link": 48
6540 },
6541 {
6542 "localized_name": "sigmas",
6543 "name": "sigmas",
6544 "shape": 7,
6545 "type": "SIGMAS",
6546 "link": 42
6547 },
6548 {
6549 "localized_name": "guides",
6550 "name": "guides",
6551 "shape": 7,
6552 "type": "GUIDES",
6553 "link": null
6554 },
6555 {
6556 "label": "options0",
6557 "localized_name": "options0",
6558 "name": "options_group.options0",
6559 "shape": 7,
6560 "type": "OPTIONS",
6561 "link": null
6562 },
6563 {
6564 "localized_name": "eta",
6565 "name": "eta",
6566 "type": "FLOAT",
6567 "widget": {
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6570 "link": 45
6571 },
6572 {
6573 "localized_name": "sampler_name",
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6575 "type": "COMBO",
6576 "widget": {
6577 "name": "sampler_name"
6578 },
6579 "link": 46
6580 },
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6582 "localized_name": "scheduler",
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6585 "widget": {
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6587 },
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6589 },
6590 {
6591 "localized_name": "steps",
6592 "name": "steps",
6593 "type": "INT",
6594 "widget": {
6595 "name": "steps"
6596 },
6597 "link": 43
6598 },
6599 {
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6635 {
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6666 "links": [
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6668 ]
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6675 },
6676 {
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6678 "name": "options",
6679 "type": "OPTIONS",
6680 "links": []
6681 }
6682 ],
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6753 "type": "LATENT",
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6756 ]
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6765 59
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8081 "outputs": [
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8084 "name": "IMAGE",
8085 "type": "IMAGE",
8086 "links": [
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8089 }
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8241 15041
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8251 "input_ue_unconnectable": [],
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8271 60
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8273 "flags": {
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8276 "order": 0,
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8278 "inputs": [
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8280 "localized_name": "conditioning",
8281 "name": "conditioning",
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8284 }
8285 ],
8286 "outputs": [
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8289 "name": "CONDITIONING",
8290 "type": "CONDITIONING",
8291 "links": [
8292 15042
8293 ]
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8326 "name": "base_ctx",
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8330 },
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8340 "name": "clip",
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8349 "type": "VAE",
8350 "link": null
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8356 "type": "CONDITIONING",
8357 "link": null
8358 },
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8363 "type": "CONDITIONING",
8364 "link": null
8365 },
8366 {
8367 "dir": 3,
8368 "name": "latent",
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8370 "type": "LATENT",
8371 "link": null
8372 },
8373 {
8374 "dir": 3,
8375 "name": "images",
8376 "shape": 7,
8377 "type": "IMAGE",
8378 "link": null
8379 },
8380 {
8381 "dir": 3,
8382 "name": "seed",
8383 "shape": 7,
8384 "type": "INT",
8385 "link": null
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8388 "dir": 3,
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8391 "type": "INT",
8392 "link": null
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8395 "dir": 3,
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8399 "link": null
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8401 {
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8413 "link": null
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8415 {
8416 "dir": 3,
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8466 "name": "text_neg_l",
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8475 "type": "MASK",
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8479 "dir": 3,
8480 "name": "control_net",
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8484 }
8485 ],
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8489 "name": "CONTEXT",
8490 "type": "RGTHREE_CONTEXT",
8491 "links": []
8492 },
8493 {
8494 "dir": 4,
8495 "name": "MODEL",
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8498 15146
8499 ]
8500 },
8501 {
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8503 "name": "CLIP",
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8506 15011
8507 ]
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8510 "dir": 4,
8511 "name": "VAE",
8512 "type": "VAE",
8513 "links": [
8514 15043
8515 ]
8516 },
8517 {
8518 "dir": 4,
8519 "name": "POSITIVE",
8520 "type": "CONDITIONING",
8521 "links": []
8522 },
8523 {
8524 "dir": 4,
8525 "name": "NEGATIVE",
8526 "type": "CONDITIONING",
8527 "links": []
8528 },
8529 {
8530 "dir": 4,
8531 "name": "LATENT",
8532 "type": "LATENT",
8533 "links": []
8534 },
8535 {
8536 "dir": 4,
8537 "name": "IMAGE",
8538 "type": "IMAGE",
8539 "links": []
8540 },
8541 {
8542 "dir": 4,
8543 "name": "SEED",
8544 "type": "INT",
8545 "links": [
8546 15045
8547 ]
8548 },
8549 {
8550 "dir": 4,
8551 "name": "STEPS",
8552 "type": "INT",
8553 "links": []
8554 },
8555 {
8556 "dir": 4,
8557 "name": "STEP_REFINER",
8558 "type": "INT",
8559 "links": []
8560 },
8561 {
8562 "dir": 4,
8563 "name": "CFG",
8564 "type": "FLOAT",
8565 "links": []
8566 },
8567 {
8568 "dir": 4,
8569 "name": "CKPT_NAME",
8570 "type": "COMBO",
8571 "links": []
8572 },
8573 {
8574 "dir": 4,
8575 "name": "SAMPLER",
8576 "type": "COMBO",
8577 "links": []
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8579 {
8580 "dir": 4,
8581 "name": "SCHEDULER",
8582 "type": "COMBO",
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8584 },
8585 {
8586 "dir": 4,
8587 "name": "CLIP_WIDTH",
8588 "type": "INT",
8589 "links": []
8590 },
8591 {
8592 "dir": 4,
8593 "name": "CLIP_HEIGHT",
8594 "type": "INT",
8595 "links": []
8596 },
8597 {
8598 "dir": 4,
8599 "name": "TEXT_POS_G",
8600 "type": "STRING",
8601 "links": []
8602 },
8603 {
8604 "dir": 4,
8605 "name": "TEXT_POS_L",
8606 "type": "STRING",
8607 "links": []
8608 },
8609 {
8610 "dir": 4,
8611 "name": "TEXT_NEG_G",
8612 "type": "STRING",
8613 "links": []
8614 },
8615 {
8616 "dir": 4,
8617 "name": "TEXT_NEG_L",
8618 "type": "STRING",
8619 "links": []
8620 },
8621 {
8622 "dir": 4,
8623 "name": "MASK",
8624 "type": "MASK",
8625 "links": []
8626 },
8627 {
8628 "dir": 4,
8629 "name": "CONTROL_NET",
8630 "type": "CONTROL_NET",
8631 "links": []
8632 }
8633 ],
8634 "title": "Context - unpack",
8635 "properties": {
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8637 "ver": "d7297b42f0fa78bec1c0411478f887423c249502",
8638 "Node name for S&R": "Context Big (rgthree)"
8639 }
8640 },
8641 {
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8643 "type": "Power Puter (rgthree)",
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8646 669.0906533484842
8647 ],
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8650 488.80554125613764
8651 ],
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8653 "order": 5,
8654 "mode": 2,
8655 "inputs": [
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8657 "name": "a",
8658 "type": "*",
8659 "link": 15724
8660 },
8661 {
8662 "name": "b",
8663 "type": "*",
8664 "link": 15725
8665 },
8666 {
8667 "name": "c",
8668 "type": "*",
8669 "link": 15720
8670 },
8671 {
8672 "name": "d",
8673 "type": "*",
8674 "link": 15781
8675 },
8676 {
8677 "name": "e",
8678 "type": "*",
8679 "link": 15782
8680 },
8681 {
8682 "name": "f",
8683 "type": "*",
8684 "link": 15783
8685 },
8686 {
8687 "name": "g",
8688 "type": "*",
8689 "link": 15784
8690 },
8691 {
8692 "name": "h",
8693 "type": "*",
8694 "link": null
8695 }
8696 ],
8697 "outputs": [
8698 {
8699 "label": "INT",
8700 "name": "",
8701 "type": "INT",
8702 "links": [
8703 15721
8704 ]
8705 },
8706 {
8707 "label": "INT",
8708 "name": "",
8709 "type": "INT",
8710 "links": [
8711 15722
8712 ]
8713 }
8714 ],
8715 "properties": {
8716 "cnr_id": "rgthree-comfy",
8717 "ver": "d7297b42f0fa78bec1c0411478f887423c249502"
8718 },
8719 "widgets_values": [
8720 {
8721 "outputs": [
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8723 "INT"
8724 ]
8725 },
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8727 ],
8728 "widgets_values_named": {
8729 "outputs": {
8730 "outputs": [
8731 "INT",
8732 "INT"
8733 ]
8734 },
8735 "code": "limit = max(64, min(8192, int(e) // 64 * 64))\n\nif d:\n final_width = max(64, ceil(a * c / 64) * 64)\n final_height = max(64, ceil(b * c / 64) * 64)\n\n tile_width = min(\n limit, final_width,\n max(1024, round((a * c / 2 + 96) / 64) * 64)\n )\n tile_height = min(\n limit, final_height,\n max(1024, round((b * c / 2 + 96) / 64) * 64)\n )\nelse:\n tile_width = max(64, min(8192, round(f / 64) * 64))\n tile_height = max(64, min(8192, round(g / 64) * 64))\n\nreturn (int(tile_width), int(tile_height))"
8736 }
8737 },
8738 {
8739 "id": 613,
8740 "type": "GetImageSize",
8741 "pos": [
8742 2308.951612988265,
8743 320.80142914917906
8744 ],
8745 "size": [
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8747 66
8748 ],
8749 "flags": [],
8750 "order": 6,
8751 "mode": 2,
8752 "inputs": [
8753 {
8754 "localized_name": "image",
8755 "name": "image",
8756 "type": "IMAGE",
8757 "link": 15723
8758 }
8759 ],
8760 "outputs": [
8761 {
8762 "localized_name": "width",
8763 "name": "width",
8764 "type": "INT",
8765 "links": [
8766 15724
8767 ]
8768 },
8769 {
8770 "localized_name": "height",
8771 "name": "height",
8772 "type": "INT",
8773 "links": [
8774 15725
8775 ]
8776 },
8777 {
8778 "localized_name": "batch_size",
8779 "name": "batch_size",
8780 "type": "INT",
8781 "links": null
8782 }
8783 ],
8784 "properties": {
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11467 301.95052509219454
11468 ],
11469 "size": [
11470 210,
11471 88
11472 ],
11473 "flags": [],
11474 "order": 10,
11475 "mode": 2,
11476 "inputs": [
11477 {
11478 "dir": 3,
11479 "localized_name": "source",
11480 "name": "source",
11481 "type": "*",
11482 "link": 15451
11483 }
11484 ],
11485 "outputs": [],
11486 "properties": {
11487 "cnr_id": "rgthree-comfy",
11488 "ver": "d7297b42f0fa78bec1c0411478f887423c249502",
11489 "Node name for S&R": "Display Any (rgthree)"
11490 },
11491 "widgets_values": [
11492 "linear/euler"
11493 ],
11494 "widgets_values_named": {
11495 "output": "linear/euler"
11496 }
11497 },
11498 {
11499 "id": 517,
11500 "type": "Power Puter (rgthree)",
11501 "pos": [
11502 6260,
11503 -70
11504 ],
11505 "size": [
11506 340.59624633942076,
11507 317.13100572479686
11508 ],
11509 "flags": [],
11510 "order": 2,
11511 "mode": 2,
11512 "inputs": [
11513 {
11514 "name": "a",
11515 "type": "*",
11516 "link": 15441
11517 },
11518 {
11519 "name": "b",
11520 "type": "*",
11521 "link": null
11522 }
11523 ],
11524 "outputs": [
11525 {
11526 "label": "STRING",
11527 "name": "*",
11528 "shape": 3,
11529 "type": "STRING",
11530 "links": [
11531 15440,
11532 15468
11533 ]
11534 }
11535 ],
11536 "properties": {
11537 "cnr_id": "rgthree-comfy",
11538 "ver": "d7297b42f0fa78bec1c0411478f887423c249502"
11539 },
11540 "widgets_values": [
11541 {
11542 "outputs": [
11543 "STRING"
11544 ]
11545 },
11546 "# Gather the input nodes\nnodes = [input_node(a), input_node(b)]\n\n# Collect the loras and format into a lora tag using list\n# comprehension. We use `if node` incase we mute/bypass one\n# of the Power Lora Loaders\nloras = [\n f'<lora:{lora.name}:{lora.strength}:{lora.strength_clip}>'\n for node in nodes if node\n for lora in node.loras()\n]\n\nreturn '\\n'.join(loras)"
11547 ],
11548 "widgets_values_named": {
11549 "outputs": {
11550 "outputs": [
11551 "STRING"
11552 ]
11553 },
11554 "code": "# Gather the input nodes\nnodes = [input_node(a), input_node(b)]\n\n# Collect the loras and format into a lora tag using list\n# comprehension. We use `if node` incase we mute/bypass one\n# of the Power Lora Loaders\nloras = [\n f'<lora:{lora.name}:{lora.strength}:{lora.strength_clip}>'\n for node in nodes if node\n for lora in node.loras()\n]\n\nreturn '\\n'.join(loras)"
11555 }
11556 },
11557 {
11558 "id": 525,
11559 "type": "Power Puter (rgthree)",
11560 "pos": [
11561 7260.909090909071,
11562 -69.09090909090908
11563 ],
11564 "size": [
11565 320,
11566 170
11567 ],
11568 "flags": [],
11569 "order": 9,
11570 "mode": 2,
11571 "inputs": [
11572 {
11573 "name": "a",
11574 "type": "*",
11575 "link": 15449
11576 },
11577 {
11578 "name": "b",
11579 "type": "*",
11580 "link": 15445
11581 },
11582 {
11583 "name": "c",
11584 "type": "*",
11585 "link": null
11586 }
11587 ],
11588 "outputs": [
11589 {
11590 "label": "STRING",
11591 "name": "*",
11592 "shape": 3,
11593 "type": "STRING",
11594 "links": [
11595 15459
11596 ]
11597 }
11598 ],
11599 "title": "Power Puter - Prompt + LoRAs",
11600 "properties": {
11601 "cnr_id": "rgthree-comfy",
11602 "ver": "d7297b42f0fa78bec1c0411478f887423c249502",
11603 "Node name for S&R": "Power Puter (rgthree)"
11604 },
11605 "widgets_values": [
11606 {
11607 "outputs": [
11608 "STRING"
11609 ]
11610 },
11611 "return str(a or \"\") + \" \" + str(b or \"\")"
11612 ],
11613 "widgets_values_named": {
11614 "outputs": {
11615 "outputs": [
11616 "STRING"
11617 ]
11618 },
11619 "code": "return str(a or \"\") + \" \" + str(b or \"\")"
11620 }
11621 },
11622 {
11623 "id": 412,
11624 "type": "Power Puter (rgthree)",
11625 "pos": [
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11627 573.1000000000001
11628 ],
11629 "size": [
11630 282.86319485262663,
11631 136
11632 ],
11633 "flags": {
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11635 },
11636 "order": 0,
11637 "mode": 2,
11638 "inputs": [
11639 {
11640 "name": "a",
11641 "type": "MODEL",
11642 "link": 15123
11643 },
11644 {
11645 "name": "b",
11646 "type": "*",
11647 "link": null
11648 }
11649 ],
11650 "outputs": [
11651 {
11652 "label": "STRING",
11653 "name": "*",
11654 "type": "STRING",
11655 "links": [
11656 15464
11657 ]
11658 }
11659 ],
11660 "properties": {
11661 "cnr_id": "rgthree-comfy",
11662 "ver": "d7297b42f0fa78bec1c0411478f887423c249502",
11663 "Node name for S&R": "Power Puter (rgthree)",
11664 "aux_id": "rgthree/rgthree-comfy"
11665 },
11666 "widgets_values": [
11667 {
11668 "outputs": [
11669 "STRING"
11670 ]
11671 },
11672 "return str(input_node(a).inputs.unet_name)"
11673 ],
11674 "widgets_values_named": {
11675 "outputs": {
11676 "outputs": [
11677 "STRING"
11678 ]
11679 },
11680 "code": "return str(input_node(a).inputs.unet_name)"
11681 }
11682 },
11683 {
11684 "id": 519,
11685 "type": "Display Any (rgthree)",
11686 "pos": [
11687 6272.771841009069,
11688 302.7417788725728
11689 ],
11690 "size": [
11691 210,
11692 88
11693 ],
11694 "flags": [],
11695 "order": 4,
11696 "mode": 2,
11697 "inputs": [
11698 {
11699 "dir": 3,
11700 "localized_name": "source",
11701 "name": "source",
11702 "type": "*",
11703 "link": 15450
11704 }
11705 ],
11706 "outputs": [],
11707 "properties": {
11708 "cnr_id": "rgthree-comfy",
11709 "ver": "d7297b42f0fa78bec1c0411478f887423c249502",
11710 "Node name for S&R": "Display Any (rgthree)"
11711 },
11712 "widgets_values": [
11713 "1"
11714 ],
11715 "widgets_values_named": {
11716 "output": "1"
11717 }
11718 },
11719 {
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11721 "type": "Power Puter (rgthree)",
11722 "pos": [
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11724 527.8254619306375
11725 ],
11726 "size": [
11727 300,
11728 180
11729 ],
11730 "flags": [],
11731 "order": 11,
11732 "mode": 2,
11733 "inputs": [
11734 {
11735 "name": "a",
11736 "type": "STRING",
11737 "link": 15790
11738 },
11739 {
11740 "name": "b",
11741 "type": "*",
11742 "link": null
11743 }
11744 ],
11745 "outputs": [
11746 {
11747 "label": "BOOLEAN",
11748 "name": "*",
11749 "type": "BOOLEAN",
11750 "links": [
11751 15795
11752 ]
11753 }
11754 ],
11755 "properties": {
11756 "cnr_id": "rgthree-comfy",
11757 "ver": "d7297b42f0fa78bec1c0411478f887423c249502",
11758 "Node name for S&R": "Power Puter (rgthree)",
11759 "aux_id": "rgthree/rgthree-comfy"
11760 },
11761 "widgets_values": [
11762 {
11763 "outputs": [
11764 "BOOLEAN"
11765 ]
11766 },
11767 "return True"
11768 ],
11769 "widgets_values_named": {
11770 "outputs": {
11771 "outputs": [
11772 "BOOLEAN"
11773 ]
11774 },
11775 "code": "return True"
11776 }
11777 }
11778 ],
11779 "groups": [],
11780 "links": [
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11843 "type": "IMAGE"
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11847 "origin_id": -10,
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11851 "type": "INT"
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11859 "type": "FLOAT"
11860 },
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11929 "target_id": -20,
11930 "target_slot": 0,
11931 "type": "BOOLEAN"
11932 },
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11934 "id": 15797,
11935 "origin_id": -10,
11936 "origin_slot": 10,
11937 "target_id": 524,
11938 "target_slot": 22,
11939 "type": "BOOLEAN"
11940 },
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11942 "id": 15441,
11943 "origin_id": -10,
11944 "origin_slot": 7,
11945 "target_id": 517,
11946 "target_slot": 0,
11947 "type": "MODEL"
11948 },
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11951 "origin_id": -10,
11952 "origin_slot": 8,
11953 "target_id": 525,
11954 "target_slot": 0,
11955 "type": "STRING"
11956 },
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11959 "origin_id": 518,
11960 "origin_slot": 0,
11961 "target_id": 525,
11962 "target_slot": 1,
11963 "type": "STRING"
11964 },
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11966 "id": 15123,
11967 "origin_id": -10,
11968 "origin_slot": 9,
11969 "target_id": 412,
11970 "target_slot": 0,
11971 "type": "MODEL"
11972 },
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11975 "origin_id": 524,
11976 "origin_slot": 1,
11977 "target_id": 640,
11978 "target_slot": 0,
11979 "type": "STRING"
11980 }
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11982 "extra": []
11983 },
11984 {
11985 "id": "4d729e1a-1cd2-4ec0-ab77-27a2baa16c2f",
11986 "version": 1,
11987 "state": {
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11989 "lastNodeId": 643,
11990 "lastLinkId": 15800,
11991 "lastRerouteId": 0
11992 },
11993 "revision": 0,
11994 "config": [],
11995 "name": "LaMa Object Removal",
11996 "inputNode": {
11997 "id": -10,
11998 "bounding": [
11999 -240,
12000 60,
12001 161.7421875,
12002 168
12003 ]
12004 },
12005 "outputNode": {
12006 "id": -20,
12007 "bounding": [
12008 1052.245703125,
12009 60,
12010 128,
12011 68
12012 ]
12013 },
12014 "inputs": [
12015 {
12016 "id": "5f31d3de-f457-4d84-8597-83ab379ce3be",
12017 "name": "image",
12018 "type": "IMAGE",
12019 "linkIds": [
12020 15433,
12021 15434
12022 ],
12023 "pos": [
12024 -102.2578125,
12025 84
12026 ]
12027 },
12028 {
12029 "id": "236b20d7-b659-45ad-865a-9c8dac654ab7",
12030 "name": "mask",
12031 "type": "MASK",
12032 "linkIds": [
12033 15436
12034 ],
12035 "pos": [
12036 -102.2578125,
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12038 ]
12039 },
12040 {
12041 "id": "e8a159ee-bc90-4475-8f7a-69c7855987ce",
12042 "name": "grow",
12043 "type": "INT",
12044 "linkIds": [
12045 15492
12046 ],
12047 "label": "Removal mask grow",
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12051 ]
12052 },
12053 {
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12056 "type": "INT",
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12059 ],
12060 "label": "Removal mask blur",
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12064 ]
12065 },
12066 {
12067 "id": "1e12eb0c-00fe-4547-b2e9-5bfcbda7fee6",
12068 "name": "context_grow",
12069 "type": "INT",
12070 "linkIds": [
12071 15494
12072 ],
12073 "label": "Context margin",
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12077 ]
12078 },
12079 {
12080 "id": "e0b94cd0-1a37-40e6-8c19-5e0457795f35",
12081 "name": "model_name",
12082 "type": "COMBO",
12083 "linkIds": [
12084 15495
12085 ],
12086 "label": "Inpaint model",
12087 "pos": [
12088 -102.2578125,
12089 184
12090 ]
12091 }
12092 ],
12093 "outputs": [
12094 {
12095 "id": "4e556609-430a-4776-8f60-0262dc6c7fb8",
12096 "name": "IMAGE",
12097 "type": "IMAGE",
12098 "linkIds": [
12099 15491
12100 ],
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12104 ]
12105 }
12106 ],
12107 "widgets": [],
12108 "nodes": [
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12111 "type": "INPAINT_ExpandMask",
12112 "pos": [
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12115 ],
12116 "size": [
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12120 "flags": [],
12121 "order": 0,
12122 "mode": 2,
12123 "inputs": [
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12126 "name": "mask",
12127 "type": "MASK",
12128 "link": 15436
12129 },
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12132 "name": "grow",
12133 "type": "INT",
12134 "widget": {
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12138 },
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12142 "type": "INT",
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12147 },
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12150 "name": "blur_type",
12151 "type": "COMBO",
12152 "widget": {
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12154 },
12155 "link": null
12156 }
12157 ],
12158 "outputs": [
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12161 "name": "mask",
12162 "type": "MASK",
12163 "links": [
12164 15366,
12165 15369
12166 ]
12167 }
12168 ],
12169 "title": "LaMa - Removal Mask",
12170 "properties": {
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12172 "ver": "0.1.2",
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12176 "version": "7.8",
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12178 }
12179 },
12180 "widgets_values": [
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12182 0,
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12184 ],
12185 "widgets_values_named": {
12186 "grow": 8,
12187 "blur": 0,
12188 "blur_type": "gaussian"
12189 }
12190 },
12191 {
12192 "id": 491,
12193 "type": "INPAINT_ExpandMask",
12194 "pos": [
12195 100,
12196 270
12197 ],
12198 "size": [
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12200 110
12201 ],
12202 "flags": [],
12203 "order": 1,
12204 "mode": 2,
12205 "inputs": [
12206 {
12207 "localized_name": "mask",
12208 "name": "mask",
12209 "type": "MASK",
12210 "link": 15366
12211 },
12212 {
12213 "localized_name": "grow",
12214 "name": "grow",
12215 "type": "INT",
12216 "widget": {
12217 "name": "grow"
12218 },
12219 "link": 15494
12220 },
12221 {
12222 "localized_name": "blur",
12223 "name": "blur",
12224 "type": "INT",
12225 "widget": {
12226 "name": "blur"
12227 },
12228 "link": null
12229 },
12230 {
12231 "localized_name": "blur_type",
12232 "name": "blur_type",
12233 "type": "COMBO",
12234 "widget": {
12235 "name": "blur_type"
12236 },
12237 "link": null
12238 }
12239 ],
12240 "outputs": [
12241 {
12242 "localized_name": "mask",
12243 "name": "mask",
12244 "type": "MASK",
12245 "links": [
12246 15367
12247 ]
12248 }
12249 ],
12250 "title": "LaMa - Context Margin",
12251 "properties": {
12252 "cnr_id": "comfyui-inpaint-nodes",
12253 "ver": "0.1.2",
12254 "Node name for S&R": "INPAINT_ExpandMask",
12255 "ue_properties": {
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12257 "version": "7.8",
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12259 }
12260 },
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12265 ],
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12270 }
12271 },
12272 {
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12274 "type": "INPAINT_MaskBoundingBox",
12275 "pos": [
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12277 440
12278 ],
12279 "size": [
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12283 "flags": [],
12284 "order": 2,
12285 "mode": 2,
12286 "inputs": [
12287 {
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12289 "name": "mask",
12290 "type": "MASK",
12291 "link": 15367
12292 }
12293 ],
12294 "outputs": [
12295 {
12296 "localized_name": "x",
12297 "name": "x",
12298 "type": "INT",
12299 "links": [
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12303 ]
12304 },
12305 {
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12307 "name": "y",
12308 "type": "INT",
12309 "links": [
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12313 ]
12314 },
12315 {
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12318 "type": "INT",
12319 "links": [
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12322 ]
12323 },
12324 {
12325 "localized_name": "height",
12326 "name": "height",
12327 "type": "INT",
12328 "links": [
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12331 ]
12332 }
12333 ],
12334 "title": "LaMa - Mask Bounding Box",
12335 "properties": {
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12337 "ver": "0.1.2",
12338 "Node name for S&R": "INPAINT_MaskBoundingBox",
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12344 }
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