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To lock in a specific wildcard result, you must interact directly with the **ImpactWildcardProcessor**.\n\n### \ud83d\udee0\ufe0f How to Lock your Prompt\n1. **Set Mode to `reproduce`:** This is the only way to freeze the current wildcard selection.\n2. **The \"Auto-Reset\" Trap:** Be aware that this node may automatically switch back to `populate` after a retry or a fresh generation. \n3. **User Input vs. Output:** Setting the seed to \"Fixed\" only stabilizes your *input* text\u2014it does **not** stabilize the final *output* string generated by the wildcard logic.\n\n---\n\n> **Pro-Tip:** If you've found a \"Golden Prompt\" via wildcards, copy the text from the lower box of the Wildcard node and paste it into the positive prompt instead to avoid the hassle of the wildcard switching back to 'populate' and then bypass the Wildcards group."],"widgets_values_named":{"text":"# \u26a0\ufe0f Wildcard Stability Guide\n---\n\n### \ud83c\udfb2 Why is my prompt still changing?\nSetting the **Global Seed** to \"Fixed\" only locks the sampler noise; it **does not** stop the Wildcard node from repopulating new strings. To lock in a specific wildcard result, you must interact directly with the **ImpactWildcardProcessor**.\n\n### \ud83d\udee0\ufe0f How to Lock your Prompt\n1. **Set Mode to `reproduce`:** This is the only way to freeze the current wildcard selection.\n2. **The \"Auto-Reset\" Trap:** Be aware that this node may automatically switch back to `populate` after a retry or a fresh generation. \n3. **User Input vs. Output:** Setting the seed to \"Fixed\" only stabilizes your *input* text\u2014it does **not** stabilize the final *output* string generated by the wildcard logic.\n\n---\n\n> **Pro-Tip:** If you've found a \"Golden Prompt\" via wildcards, copy the text from the lower box of the Wildcard node and paste it into the positive prompt instead to avoid the hassle of the wildcard switching back to 'populate' and then bypass the Wildcards group."},"color":"#323","bgcolor":"#535"},{"id":13,"type":"SDXL Empty Latent Image (rgthree)","pos":[6376.866991559166,2438.647823321422],"size":[250,150],"flags":{"pinned":true},"order":6,"mode":0,"inputs":[],"outputs":[{"name":"LATENT","type":"LATENT","links":[28]},{"name":"CLIP_WIDTH","type":"INT","links":[]},{"name":"CLIP_HEIGHT","type":"INT","links":[]}],"title":"SDXL Preset Latent Size","properties":{"cnr_id":"rgthree-comfy","ver":"1.0.2605082257","Node name for S&R":"SDXL Empty Latent Image (rgthree)","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[" 832 x 1216  (portrait)",1,1],"widgets_values_named":{"dimensions":" 832 x 1216  (portrait)","clip_scale":1,"batch_size":1},"color":"#233","bgcolor":"#355"},{"id":14,"type":"VAELoader","pos":[4216.866991559166,2248.647823321422],"size":[330,70],"flags":{"pinned":true},"order":7,"mode":0,"inputs":[],"outputs":[{"name":"VAE","type":"VAE","links":[53]}],"properties":{"cnr_id":"comfy-core","ver":"0.16.4","Node name for 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Saver)","pos":[4216.866991559166,2408.647823321422],"size":[330,120],"flags":{"pinned":true},"order":10,"mode":4,"inputs":[],"outputs":[{"name":"MODEL","type":"MODEL","links":[25]},{"name":"CLIP","type":"CLIP","links":[49]},{"name":"VAE","type":"VAE","links":[52]},{"name":"model_name","type":"STRING","links":[55]}],"title":"Checkpoint Loader (Image Saver)","properties":{"cnr_id":"comfyui-image-saver","ver":"1.24.0","Node name for S&R":"Checkpoint Loader with Name (Image Saver)","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["waisnackmixCollection_wsmAnimaBeta.safetensors"],"widgets_values_named":{"ckpt_name":"waisnackmixCollection_wsmAnimaBeta.safetensors"},"color":"#332922","bgcolor":"#593930"},{"id":19,"type":"MarkdownNote","pos":[4576.866991559166,2258.647823321422],"size":[350,260],"flags":{"pinned":true},"order":11,"mode":0,"inputs":[],"outputs":[],"title":"Power Lora Loader (ChatGPT)","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## \ud83e\udde0 Power Lora Loader\n\nThe **Power Lora Loader** is an advanced node from **rgthree\u2019s ComfyUI extensions** that improves on the default Lora loader with extra tools for browsing, previewing, and managing Loras. It\u2019s particularly useful if you work with models downloaded from **Civitai** or keep a large collection of Loras with metadata.\n\n---\n\n## \u2699\ufe0f Basic Functionality\n- **Loads LoRAs** (Low-Rank Adapters) into a model pipeline, just like the normal `LoraLoader` node.\n- Lets you **stack multiple LoRAs**, reorder them, and control their individual strengths.\n- Supports **drag-and-drop loading** from the ComfyUI file browser.\n\n---\n\n## \ud83d\uddb1\ufe0f Right-Click Menu Features\nRight-click on any loaded LoRA inside the node to open its context menu.\n\n### \ud83d\udd0d \u201cShow Info\u201d\n- **Fetch info from civitai** from the LoRA\u2019s embedded info or directly from its `model.json` or `civitai.info` file (if available).\n- Shows:\n  - Model Name\n  - Version\n  - Author\n  - Trained Base Model\n  - Civitai URL\n  - Description (short)\n  - Suggested Trigger Words\n- If the `.safetensors` file has embedded metadata (Civitai automatically includes it), Power Lora Loader reads it locally \u2014 **no internet needed**.\n\n---\n\n## \ud83c\udff7\ufe0f Trigger Word Tools\n\n### \ud83e\udde9 \u201cTrained Words\u201d\nIf the lora has any trigger words/trained words. They will be listed after fetching the info from civitai.\n- There will be a listing of all known **trigger phrases** or **keywords** associated with that LoRA.\n- You can **click on a trigger** to copy it directly to your clipboard.\n- Useful for pasting into your prompt, prompt node, or **Markdown Note node**.\n  \n> \ud83d\udca1 You can also **Ctrl+Click** or **Shift+Click** multiple trigger words to copy them together, separated by commas.\n\n---\n\n## \ud83d\uddbc\ufe0f Image Previews\nAfter fetching the info from civitai, it will also display sample images toward the bottom of the popup window.\n\nIf the LoRA has **multiple preview images**, you can cycle through them (small arrows appear when more than one image is found).\n\n---\n\n## \ud83d\udce6 Multi-LoRA Controls\n- Add multiple LoRAs to the same node with the \u2795 button.\n- Adjust **strength (weight)** sliders per LoRA.\n- Reorder LoRAs with drag handles.\n- Toggle individual LoRAs on/off with checkboxes.\n\n---\n"],"widgets_values_named":{"text":"## \ud83e\udde0 Power Lora Loader\n\nThe **Power Lora Loader** is an advanced node from **rgthree\u2019s ComfyUI extensions** that improves on the default Lora loader with extra tools for browsing, previewing, and managing Loras. It\u2019s particularly useful if you work with models downloaded from **Civitai** or keep a large collection of Loras with metadata.\n\n---\n\n## \u2699\ufe0f Basic Functionality\n- **Loads LoRAs** (Low-Rank Adapters) into a model pipeline, just like the normal `LoraLoader` node.\n- Lets you **stack multiple LoRAs**, reorder them, and control their individual strengths.\n- Supports **drag-and-drop loading** from the ComfyUI file browser.\n\n---\n\n## \ud83d\uddb1\ufe0f Right-Click Menu Features\nRight-click on any loaded LoRA inside the node to open its context menu.\n\n### \ud83d\udd0d \u201cShow Info\u201d\n- **Fetch info from civitai** from the LoRA\u2019s embedded info or directly from its `model.json` or `civitai.info` file (if available).\n- Shows:\n  - Model Name\n  - Version\n  - Author\n  - Trained Base Model\n  - Civitai URL\n  - Description (short)\n  - Suggested Trigger Words\n- If the `.safetensors` file has embedded metadata (Civitai automatically includes it), Power Lora Loader reads it locally \u2014 **no internet needed**.\n\n---\n\n## \ud83c\udff7\ufe0f Trigger Word Tools\n\n### \ud83e\udde9 \u201cTrained Words\u201d\nIf the lora has any trigger words/trained words. They will be listed after fetching the info from civitai.\n- There will be a listing of all known **trigger phrases** or **keywords** associated with that LoRA.\n- You can **click on a trigger** to copy it directly to your clipboard.\n- Useful for pasting into your prompt, prompt node, or **Markdown Note node**.\n  \n> \ud83d\udca1 You can also **Ctrl+Click** or **Shift+Click** multiple trigger words to copy them together, separated by commas.\n\n---\n\n## \ud83d\uddbc\ufe0f Image Previews\nAfter fetching the info from civitai, it will also display sample images toward the bottom of the popup window.\n\nIf the LoRA has **multiple preview images**, you can cycle through them (small arrows appear when more than one image is found).\n\n---\n\n## \ud83d\udce6 Multi-LoRA Controls\n- Add multiple LoRAs to the same node with the \u2795 button.\n- Adjust **strength (weight)** sliders per LoRA.\n- Reorder LoRAs with drag handles.\n- Toggle individual LoRAs on/off with checkboxes.\n\n---\n"},"color":"#223","bgcolor":"#335"},{"id":20,"type":"Fast Groups Bypasser (rgthree)","pos":[3896.8669915591663,2338.647823321422],"size":[290,60],"flags":{"pinned":true},"order":12,"mode":0,"inputs":[],"outputs":[{"name":"OPT_CONNECTION","type":"*","links":null}],"title":"USDU","properties":{"matchColors":"green","matchTitle":"","showNav":true,"showAllGraphs":true,"sort":"position","customSortAlphabet":"","toggleRestriction":"default","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"color":"#232","bgcolor":"#353"},{"id":21,"type":"Fast Groups Bypasser 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desire."],"widgets_values_named":{"text":"#### There are two latent outputs on the *SamplerCustomAdvanced* node.\n\n#### By default, it is set to use *denoised_output* instead of *output*.\n\n#### The difference between the two is that *denoised_output* is supposed to clean any leftover noise on the initial image before it is sent to be upscaled.\n\n#### Feel free to switch which output is connected to the VAE Decode node if you have the desire."},"color":"#323","bgcolor":"#535"},{"id":71,"type":"Fast Groups Bypasser (rgthree)","pos":[7496.866991559166,2848.647823321422],"size":[280,110],"flags":{"pinned":true},"order":28,"mode":0,"inputs":[],"outputs":[{"name":"OPT_CONNECTION","type":"*","links":null}],"title":"Pre-USDU 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Model* and *SeedVR2 Upscale* turned off.\n\n- *Upscale with Model* allows you to use an upscale model of your choosing.\n\n- IMO *SeedVR2 Upscale* is just a fancier upscale model and I wanted to try it out."},"color":"#332922","bgcolor":"#593930"},{"id":74,"type":"Reroute","pos":[6956.866991559166,3358.647823321422],"size":[90.4,26],"flags":{"pinned":true},"order":61,"mode":0,"inputs":[{"name":"","type":"*","widget":{"name":"value"},"link":69}],"outputs":[{"name":"STRING","type":"STRING","links":[158]}],"properties":{"showOutputText":true,"horizontal":false,"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"color":"#222","bgcolor":"#000"},{"id":75,"type":"KSamplerSelect","pos":[8846.866991559167,2058.647823321422],"size":[270,60],"flags":{"pinned":true},"order":30,"mode":0,"inputs":[],"outputs":[{"name":"SAMPLER","type":"SAMPLER","links":[82]}],"properties":{"cnr_id":"comfy-core","ver":"0.8.2","Node name for 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|\n| Sampler           |               Euler |\n| Scheduler         |              Simple |\n| Steps             |                   3 |\n| Denoise           |           0.20\u20130.22 |\n| Tile Width        |                1024 |\n| Tile Height       |                1024 |\n| Tile Padding      |                 128 |\n| Mask Blur         |                8\u201316 |\n| Upscale Method    |             Lanczos |\n| USDU Mode         |              Linear |\n\n**Use this preset when:**\n\n* Skin texture is becoming cracked, scaly, wet, or overly detailed.\n* The original image already has good detail.\n* Character consistency is more important than adding new texture.\n\n---\n\n## Balanced Preset\n\nRecommended general-purpose starting point for most images.\n\n| Setting           |                Value |\n| ----------------- | -------------------: |\n| Sampler           |                Euler |\n| Scheduler         |               Simple |\n| Steps             |                    4 |\n| Denoise           |            0.24\u20130.26 |\n| Tile Width        |            1024\u20131280 |\n| Tile Height       |            1024\u20131280 |\n| Tile Padding      |                  128 |\n| Mask Blur         |                 8\u201316 |\n| Upscale Method    |              Lanczos |\n| USDU Mode         |               Linear |\n\n**Suggested default:**\n\n`Euler + Simple, 4 steps, CFG 1.0, denoise 0.25, 1024 \u00d7 1024 tiles, 128 padding`\n\n**Use this preset when:**\n\n* You want additional clothing, hair, and environment detail.\n* The face already looks correct but needs mild refinement.\n* You want a reliable default for sharing a workflow.\n\n---\n\n## High-Detail Preset\n\nBest for clothing, armor, environments, machinery, and complex materials.\n\n| Setting           |                             Value |\n| ----------------- | --------------------------------: |\n| Sampler           |                             Euler |\n| Scheduler         |                            Simple |\n| Steps             |                                 5 |\n| Denoise           |                         0.28\u20130.30 |\n| Tile Width        |                         1280\u20131536 |\n| Tile Height       |                         1280\u20131536 |\n| Tile Padding      |                           128\u2013160 |\n| Mask Blur         |                             12\u201320 |\n| Upscale Method    | Lanczos or a mild neural upscaler |\n| USDU Mode         |                   Linear or Chess |\n\n**Use this preset when:**\n\n* Clothing and background detail are more important than perfectly smooth skin.\n* The image contains intricate materials or environmental textures.\n* The conservative preset looks too soft.\n\n**Warning:** This preset has the highest chance of producing exaggerated pores, skin cracks, freckles, droplets, or artificial surface texture.\n\n---\n\n# Tile Padding Guidance\n\nFor a 2\u00d7 upscale from 832 \u00d7 1216:\n\n| Padding | Recommendation                              |\n| ------: | ------------------------------------------- |\n|      64 | Usually too low; higher seam risk           |\n|      96 | Efficient, but may show texture transitions |\n|     128 | Recommended balance                         |\n|     160 | Safer for complex textures                  |\n|     192 | Usually unnecessary for a simple 2\u00d7 upscale |\n\nUse **128 padding** as the general default.\n\nIncrease padding when:\n\n* Tile seams are visible.\n* Skin or clothing texture changes at tile boundaries.\n* Large features cross between multiple tiles.\n\nReduce padding when:\n\n* VRAM usage is too high.\n* Processing is unusually slow.\n* Large tiles already provide sufficient context.\n\n---\n\n# Troubleshooting\n\n## Cracked, scaly, or overly detailed skin\n\nTry these changes in order:\n\n1. Reduce steps to 3 or 4.\n2. Lower denoise toward 0.20\u20130.24.\n3. Increase tile size.\n4. Disable realism, skin, photography, or texture LoRAs during USDU.\n5. Replace the neural upscale model with Lanczos.\n6. Remove skin-related prompt language.\n\n---\n\n## Visible tile seams\n\nTry:\n\n1. Increase padding from 96 to 128.\n2. Increase mask blur.\n3. Use Linear mode while testing.\n4. Use larger square tiles.\n5. Avoid very low denoise values that prevent proper blending.\n\n---\n\n## Image looks too soft\n\nTry:\n\n1. Increase steps from 3 to 4.\n2. Raise denoise by approximately 0.02.\n3. Increase tile size before adding more steps.\n4. Test a mild neural upscaler after confirming that Lanczos works cleanly.\n\n---\n\n## Character or face changes too much\n\nTry:\n\n1. Lower denoise.\n2. Reduce USDU steps.\n3. Disable character LoRAs during the upscale pass.\n4. Use the original generation prompt without additional detail language.\n5. Use larger tiles so the model retains more facial context.\n\n---\n\n# Recommended Workflow Default\n\nFor most 832 \u00d7 1216 images upscaled to 1664 \u00d7 2432:\n\n`Euler + Simple | 4 steps | CFG 1.0 | Denoise 0.25 | 1024 \u00d7 1024 tiles | 128 padding | Lanczos | Linear mode`\n\nFor especially sensitive skin:\n\n`Euler + Simple | 3 steps | CFG 1.0 | Denoise 0.21 | 1024 \u00d7 1024 tiles | 128 padding | Lanczos | Linear mode`\n"],"widgets_values_named":{"text":"# Krea 2 Turbo \u2014 USDU 2\u00d7 Upscale Presets\n\n**Source resolution:** 832 \u00d7 1216\n**Upscaled resolution:** 1664 \u00d7 2432\n**Recommended CFG:** 1.0\n**Preferred sampler:** Euler\n**Preferred scheduler:** Simple\n\n---\n\n## Conservative Preset\n\nBest for faces, clean skin, and minimizing cracked or overprocessed textures.\n\n| Setting           |               Value |\n| ----------------- | ------------------: |\n| Sampler           |               Euler |\n| Scheduler         |              Simple |\n| Steps             |                   3 |\n| Denoise           |           0.20\u20130.22 |\n| Tile Width        |                1024 |\n| Tile Height       |                1024 |\n| Tile Padding      |                 128 |\n| Mask Blur         |                8\u201316 |\n| Upscale Method    |             Lanczos |\n| USDU Mode         |              Linear |\n\n**Use this preset when:**\n\n* Skin texture is becoming cracked, scaly, wet, or overly detailed.\n* The original image already has good detail.\n* Character consistency is more important than adding new texture.\n\n---\n\n## Balanced Preset\n\nRecommended general-purpose starting point for most images.\n\n| Setting           |                Value |\n| ----------------- | -------------------: |\n| Sampler           |                Euler |\n| Scheduler         |               Simple |\n| Steps             |                    4 |\n| Denoise           |            0.24\u20130.26 |\n| Tile Width        |            1024\u20131280 |\n| Tile Height       |            1024\u20131280 |\n| Tile Padding      |                  128 |\n| Mask Blur         |                 8\u201316 |\n| Upscale Method    |              Lanczos |\n| USDU Mode         |               Linear |\n\n**Suggested default:**\n\n`Euler + Simple, 4 steps, CFG 1.0, denoise 0.25, 1024 \u00d7 1024 tiles, 128 padding`\n\n**Use this preset when:**\n\n* You want additional clothing, hair, and environment detail.\n* The face already looks correct but needs mild refinement.\n* You want a reliable default for sharing a workflow.\n\n---\n\n## High-Detail Preset\n\nBest for clothing, armor, environments, machinery, and complex materials.\n\n| Setting           |                             Value |\n| ----------------- | --------------------------------: |\n| Sampler           |                             Euler |\n| Scheduler         |                            Simple |\n| Steps             |                                 5 |\n| Denoise           |                         0.28\u20130.30 |\n| Tile Width        |                         1280\u20131536 |\n| Tile Height       |                         1280\u20131536 |\n| Tile Padding      |                           128\u2013160 |\n| Mask Blur         |                             12\u201320 |\n| Upscale Method    | Lanczos or a mild neural upscaler |\n| USDU Mode         |                   Linear or Chess |\n\n**Use this preset when:**\n\n* Clothing and background detail are more important than perfectly smooth skin.\n* The image contains intricate materials or environmental textures.\n* The conservative preset looks too soft.\n\n**Warning:** This preset has the highest chance of producing exaggerated pores, skin cracks, freckles, droplets, or artificial surface texture.\n\n---\n\n# Tile Padding Guidance\n\nFor a 2\u00d7 upscale from 832 \u00d7 1216:\n\n| Padding | Recommendation                              |\n| ------: | ------------------------------------------- |\n|      64 | Usually too low; higher seam risk           |\n|      96 | Efficient, but may show texture transitions |\n|     128 | Recommended balance                         |\n|     160 | Safer for complex textures                  |\n|     192 | Usually unnecessary for a simple 2\u00d7 upscale |\n\nUse **128 padding** as the general default.\n\nIncrease padding when:\n\n* Tile seams are visible.\n* Skin or clothing texture changes at tile boundaries.\n* Large features cross between multiple tiles.\n\nReduce padding when:\n\n* VRAM usage is too high.\n* Processing is unusually slow.\n* Large tiles already provide sufficient context.\n\n---\n\n# Troubleshooting\n\n## Cracked, scaly, or overly detailed skin\n\nTry these changes in order:\n\n1. Reduce steps to 3 or 4.\n2. Lower denoise toward 0.20\u20130.24.\n3. Increase tile size.\n4. Disable realism, skin, photography, or texture LoRAs during USDU.\n5. Replace the neural upscale model with Lanczos.\n6. Remove skin-related prompt language.\n\n---\n\n## Visible tile seams\n\nTry:\n\n1. Increase padding from 96 to 128.\n2. Increase mask blur.\n3. Use Linear mode while testing.\n4. Use larger square tiles.\n5. Avoid very low denoise values that prevent proper blending.\n\n---\n\n## Image looks too soft\n\nTry:\n\n1. Increase steps from 3 to 4.\n2. Raise denoise by approximately 0.02.\n3. Increase tile size before adding more steps.\n4. Test a mild neural upscaler after confirming that Lanczos works cleanly.\n\n---\n\n## Character or face changes too much\n\nTry:\n\n1. Lower denoise.\n2. Reduce USDU steps.\n3. Disable character LoRAs during the upscale pass.\n4. Use the original generation prompt without additional detail language.\n5. Use larger tiles so the model retains more facial context.\n\n---\n\n# Recommended Workflow Default\n\nFor most 832 \u00d7 1216 images upscaled to 1664 \u00d7 2432:\n\n`Euler + Simple | 4 steps | CFG 1.0 | Denoise 0.25 | 1024 \u00d7 1024 tiles | 128 padding | Lanczos | Linear mode`\n\nFor especially sensitive skin:\n\n`Euler + Simple | 3 steps | CFG 1.0 | Denoise 0.21 | 1024 \u00d7 1024 tiles | 128 padding | Lanczos | Linear mode`\n"},"color":"#232","bgcolor":"#353"},{"id":78,"type":"Image Comparer (rgthree)","pos":[8436.866991559167,1928.6478233214218],"size":[380,600],"flags":{"pinned":true},"order":100,"mode":0,"inputs":[{"dir":3,"label":"after","name":"image_a","type":"IMAGE","link":166},{"dir":3,"label":"before","name":"image_b","type":"IMAGE","link":73}],"outputs":[{"dir":4,"name":"images","shape":3,"type":"IMAGE","links":null}],"title":"Before and After Pre-USDU 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Recommendations by Gemini","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## \ud83e\udde0 Impact Pack: The Detailer Logic\n\n| Parameter | What it actually does | Impact on Speed | Impact on Quality |\n| :--- | :--- | :--- | :--- |\n| **Guide Size** | The **target resolution** for the internal crop. If a face is smaller than this, the node upscales the patch to this size before detailing. | \ud83d\udd34 **HIGH.** Doubling this can quadruple render time (quadratic scaling). | \ud83d\udfe2 **SWEET SPOT.** Setting this to the model's native res (1024) gives the most \"intelligent\" results. |\n| **Max Size** | The **hard limit**. If the crop (bbox * crop_factor) exceeds this, it is forced to downscale. This is your \"Safety Valve.\" | \ud83d\udfe1 **MEDIUM.** Prevents your GPU from crashing on accidentally massive crops. | \ud83d\udfe1 **NEUTRAL.** Only matters if your crop factor is so large it exceeds your GPU's VRAM limit. |\n\n---\n\n### \ud83d\ude80 The Sweet Spot\nSince you are using 1024-native models, use these settings to drop from 40s/step to ~2s/step:\n\n* **guide_size: 1024** (Matches the model's training; prevents \"over-detailing\" or grainy skin).\n* **max_size: 1280** (Gives a little breathing room for hair/necks without exploding the resolution).\n* **guide_size_for: bbox** (Ensures the 1024 target applies specifically to the face, not the whole background crop).\n\n### \u26a0\ufe0f Why your high settings are \"Bad\" for Quality:\nIf your target is 2432px, the model sees a single skin pore as a giant crater. \nIt tries to fill that \"crater\" with noise, resulting in:\n1. **The \"Sandpaper\" Effect:** Excessive grain and micro-contrast.\n2. **Double Features:** Two pupils or extra eyelashes (the model gets \"lost\" on such a huge canvas).\n3. **Flatness:** Paradoxically, too many pixels can make the lighting look \"averaged out\" and flat."],"widgets_values_named":{"text":"## \ud83e\udde0 Impact Pack: The Detailer Logic\n\n| Parameter | What it actually does | Impact on Speed | Impact on Quality |\n| :--- | :--- | :--- | :--- |\n| **Guide Size** | The **target resolution** for the internal crop. If a face is smaller than this, the node upscales the patch to this size before detailing. | \ud83d\udd34 **HIGH.** Doubling this can quadruple render time (quadratic scaling). | \ud83d\udfe2 **SWEET SPOT.** Setting this to the model's native res (1024) gives the most \"intelligent\" results. |\n| **Max Size** | The **hard limit**. If the crop (bbox * crop_factor) exceeds this, it is forced to downscale. This is your \"Safety Valve.\" | \ud83d\udfe1 **MEDIUM.** Prevents your GPU from crashing on accidentally massive crops. | \ud83d\udfe1 **NEUTRAL.** Only matters if your crop factor is so large it exceeds your GPU's VRAM limit. |\n\n---\n\n### \ud83d\ude80 The Sweet Spot\nSince you are using 1024-native models, use these settings to drop from 40s/step to ~2s/step:\n\n* **guide_size: 1024** (Matches the model's training; prevents \"over-detailing\" or grainy skin).\n* **max_size: 1280** (Gives a little breathing room for hair/necks without exploding the resolution).\n* **guide_size_for: bbox** (Ensures the 1024 target applies specifically to the face, not the whole background crop).\n\n### \u26a0\ufe0f Why your high settings are \"Bad\" for Quality:\nIf your target is 2432px, the model sees a single skin pore as a giant crater. \nIt tries to fill that \"crater\" with noise, resulting in:\n1. **The \"Sandpaper\" Effect:** Excessive grain and micro-contrast.\n2. **Double Features:** Two pupils or extra eyelashes (the model gets \"lost\" on such a huge canvas).\n3. **Flatness:** Paradoxically, too many pixels can make the lighting look \"averaged out\" and flat."},"color":"#2a363b","bgcolor":"#3f5159"},{"id":86,"type":"MarkdownNote","pos":[9936.866991559167,3548.647823321422],"size":[340,410],"flags":{"pinned":true},"order":33,"mode":0,"inputs":[],"outputs":[],"title":"Detailer Recommendations by Gemini","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["### \ud83d\udee0\ufe0f The 'Force Inpaint' Toggle (Impact Pack)\n\nOne of the most common reasons a Detailer \"does nothing\" (even when it detects a face) is the interaction between `guide_size` and `force_inpaint`.\n\n* **The Logic (force_inpaint: FALSE):**\n    * By default, the Detailer is \"lazy\" to save you time. \n    * If the face it finds is **already larger** than your `guide_size` (e.g., your guide is 1024 but the face in the image is 1200px), the Detailer assumes the face already has enough resolution and **skips it entirely**.\n    * This is why people often see the detector \"box\" appear, but no actual detail changes\u2014the image was already \"good enough\" according to the settings.\n\n* **The Logic (force_inpaint: TRUE):**\n    * Setting this to **TRUE** disables the \"Skip Logic.\"\n    * The Detailer will run a full inpainting pass on the face **no matter how large it is**. Even if the face is 4K, it will crop it, process it at your guide_size, and stitch it back.\n\n### \u2753 Why isn't my Detailer doing anything?\nIf your Detailer is running but the image isn't changing, check these three things in order:\n1. **Force Inpaint:** Set this to **TRUE** if you want to ensure the face is always refined.\n2. **Denoise:** If your denoise is too low (e.g., 0.1), the changes might be too subtle to see.\n3. **Drop Size:** If the face is very small and your `drop_size` is too high, the node will skip the face because it thinks it's just \"noise.\""],"widgets_values_named":{"text":"### \ud83d\udee0\ufe0f The 'Force Inpaint' Toggle (Impact Pack)\n\nOne of the most common reasons a Detailer \"does nothing\" (even when it detects a face) is the interaction between `guide_size` and `force_inpaint`.\n\n* **The Logic (force_inpaint: FALSE):**\n    * By default, the Detailer is \"lazy\" to save you time. \n    * If the face it finds is **already larger** than your `guide_size` (e.g., your guide is 1024 but the face in the image is 1200px), the Detailer assumes the face already has enough resolution and **skips it entirely**.\n    * This is why people often see the detector \"box\" appear, but no actual detail changes\u2014the image was already \"good enough\" according to the settings.\n\n* **The Logic (force_inpaint: TRUE):**\n    * Setting this to **TRUE** disables the \"Skip Logic.\"\n    * The Detailer will run a full inpainting pass on the face **no matter how large it is**. Even if the face is 4K, it will crop it, process it at your guide_size, and stitch it back.\n\n### \u2753 Why isn't my Detailer doing anything?\nIf your Detailer is running but the image isn't changing, check these three things in order:\n1. **Force Inpaint:** Set this to **TRUE** if you want to ensure the face is always refined.\n2. **Denoise:** If your denoise is too low (e.g., 0.1), the changes might be too subtle to see.\n3. **Drop Size:** If the face is very small and your `drop_size` is too high, the node will skip the face because it thinks it's just \"noise.\""},"color":"#2a363b","bgcolor":"#3f5159"},{"id":87,"type":"MarkdownNote","pos":[9936.866991559167,2508.647823321422],"size":[340,420],"flags":{"pinned":true},"order":34,"mode":0,"inputs":[],"outputs":[],"title":"Detailer Recommendations by Gemini","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["### \ud83e\udde9 MASK to SEGS (Impact Pack)\nUse this node to convert masks (from Segment Anything, manual painting, etc.) into \"SEGS\" for the Detailer.\n\n* **The 'Combined' Setting:**\n    * **TRUE (Default):** Merges all mask islands into one single bounding box. Fast, but less precise for scattered objects.\n    * **FALSE:** Generates a separate \"SEGS\" entry for every disconnected part of the mask. Highly recommended for multiple subjects or distant objects.\n\n* **The 'Drop Size' Parameter (Efficiency Booster):**\n    * **What it does:** Sets a minimum pixel threshold. Any mask segment smaller than this number is ignored and \"dropped\" from the detailer pass.\n    * **Why it matters:** If your mask has tiny accidental specks of \"dust\" or very small distant background objects, the Detailer will try to run a full sampling pass on each one. \n    * **Recommended Value:** **10 to 15**. This ensures only meaningful shapes are processed, saving you from wasting time on invisible artifacts.\n\n* **The 'BBox Fill' Setting:**\n    * **Status:** Usually keep this **FALSE**. If set to True, it ignores the specific shape of your mask and just details the entire square box around it, which can lead to \"square-shaped\" artifacts in your final image."],"widgets_values_named":{"text":"### \ud83e\udde9 MASK to SEGS (Impact Pack)\nUse this node to convert masks (from Segment Anything, manual painting, etc.) into \"SEGS\" for the Detailer.\n\n* **The 'Combined' Setting:**\n    * **TRUE (Default):** Merges all mask islands into one single bounding box. Fast, but less precise for scattered objects.\n    * **FALSE:** Generates a separate \"SEGS\" entry for every disconnected part of the mask. Highly recommended for multiple subjects or distant objects.\n\n* **The 'Drop Size' Parameter (Efficiency Booster):**\n    * **What it does:** Sets a minimum pixel threshold. Any mask segment smaller than this number is ignored and \"dropped\" from the detailer pass.\n    * **Why it matters:** If your mask has tiny accidental specks of \"dust\" or very small distant background objects, the Detailer will try to run a full sampling pass on each one. \n    * **Recommended Value:** **10 to 15**. This ensures only meaningful shapes are processed, saving you from wasting time on invisible artifacts.\n\n* **The 'BBox Fill' Setting:**\n    * **Status:** Usually keep this **FALSE**. If set to True, it ignores the specific shape of your mask and just details the entire square box around it, which can lead to \"square-shaped\" artifacts in your final image."},"color":"#2a363b","bgcolor":"#3f5159"},{"id":88,"type":"MarkdownNote","pos":[9936.866991559167,1928.6478233214218],"size":[340,540],"flags":{"pinned":true},"order":35,"mode":0,"inputs":[],"outputs":[],"title":"Detailer Recommendations by Gemini","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## \ud83d\udc41\ufe0f Detailer & Detection Troubleshooting\n---\n\n### \ud83d\udee0\ufe0f Issue: \"The Detailer is ruining my image!\"\nIf you are seeing weird artifacts\u2014like only one eye being fixed while the other is ignored\u2014follow this stability checklist:\n\n1. **Lock the Seed:** Change your **Global Seed** mode to **`fixed`**. \n2. **Handle Wildcards:** If using wildcards, set the **ImpactWildcardProcessor** to **`reproduce`**.\n   * *Note:* If you retry, you **must** ensure it hasn't reset to `populate`.\n3. **Force Focus:** Type `eye` (or the specific part you are fixing) into the **wildcard_spec** field on the Detailer node to guide the model.\n4. **The ComfyUI \"Glitch\":** Recent updates sometimes force a full restart even on a fixed seed. If it still rerolls, try bypass/unbypass the node to \"nudge\" it.\n\n---\n\n### \ud83c\udfaf Issue: \"The Detector is flagging the wrong things!\"\n*(Example: Face detection picking up anatomy it shouldn't)*\n\n* **Increase Threshold:** Raise the **threshold** on the **BBOX Detector SEGS** node. This makes the model \"stricter\" about what it calls a face.\n* **Model Limits:** Some detection models have \"false positives\" baked into their training. If it keeps failing, try swapping to a different detector model.\n\n---\n\n### \ud83d\udd0d Issue: \"The Detector isn't finding anything!\"\n\n* **Decrease Threshold:** Lower the **threshold** value. This makes the detector more \"desperate\" to find a match.\n* **The Last Resort:** If the model still won't see it, the subject might be too small or too obscured in the latent space for that specific detection model to register."],"widgets_values_named":{"text":"## \ud83d\udc41\ufe0f Detailer & Detection Troubleshooting\n---\n\n### \ud83d\udee0\ufe0f Issue: \"The Detailer is ruining my image!\"\nIf you are seeing weird artifacts\u2014like only one eye being fixed while the other is ignored\u2014follow this stability checklist:\n\n1. **Lock the Seed:** Change your **Global Seed** mode to **`fixed`**. \n2. **Handle Wildcards:** If using wildcards, set the **ImpactWildcardProcessor** to **`reproduce`**.\n   * *Note:* If you retry, you **must** ensure it hasn't reset to `populate`.\n3. **Force Focus:** Type `eye` (or the specific part you are fixing) into the **wildcard_spec** field on the Detailer node to guide the model.\n4. **The ComfyUI \"Glitch\":** Recent updates sometimes force a full restart even on a fixed seed. If it still rerolls, try bypass/unbypass the node to \"nudge\" it.\n\n---\n\n### \ud83c\udfaf Issue: \"The Detector is flagging the wrong things!\"\n*(Example: Face detection picking up anatomy it shouldn't)*\n\n* **Increase Threshold:** Raise the **threshold** on the **BBOX Detector SEGS** node. This makes the model \"stricter\" about what it calls a face.\n* **Model Limits:** Some detection models have \"false positives\" baked into their training. If it keeps failing, try swapping to a different detector model.\n\n---\n\n### \ud83d\udd0d Issue: \"The Detector isn't finding anything!\"\n\n* **Decrease Threshold:** Lower the **threshold** value. This makes the detector more \"desperate\" to find a match.\n* **The Last Resort:** If the model still won't see it, the subject might be too small or too obscured in the latent space for that specific detection model to register."},"color":"#2a363b","bgcolor":"#3f5159"},{"id":89,"type":"Bookmark (rgthree)","pos":[9886.866991559167,1798.6478233214218],"size":[210,70],"flags":{"collapsed":true,"pinned":true},"order":36,"mode":0,"inputs":[],"outputs":[],"title":"Detailers","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["4",1],"widgets_values_named":{"shortcut_key":"4","zoom":1},"color":"#223","bgcolor":"#335"},{"id":90,"type":"MaskToImage","pos":[10296.866991559167,3078.647823321422],"size":[270,30],"flags":{"collapsed":false,"pinned":true},"order":104,"mode":0,"inputs":[{"name":"mask","type":"MASK","link":86}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[87]}],"properties":{"cnr_id":"comfy-core","ver":"0.3.66","Node name for S&R":"MaskToImage","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"color":"#2a363b","bgcolor":"#3f5159"},{"id":91,"type":"SAMLoader","pos":[10296.866991559167,2458.647823321422],"size":[270,90],"flags":{"pinned":true},"order":37,"mode":0,"inputs":[],"outputs":[{"name":"SAM_MODEL","type":"SAM_MODEL","links":[91]}],"properties":{"cnr_id":"comfyui-impact-pack","ver":"8.28.0","Node name for S&R":"SAMLoader","aux_id":"ltdrdata/ComfyUI-Impact-Pack","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["sam_vit_b_01ec64.pth","AUTO"],"widgets_values_named":{"model_name":"sam_vit_b_01ec64.pth","device_mode":"AUTO"},"color":"#2a363b","bgcolor":"#3f5159"},{"id":92,"type":"PreviewImage","pos":[10296.866991559167,3158.647823321422],"size":[270,250],"flags":{"pinned":true},"order":106,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":87}],"outputs":[{"name":"images","type":"IMAGE","links":null}],"title":"Mask Preview","properties":{"cnr_id":"comfy-core","ver":"0.3.66","Node name for S&R":"PreviewImage","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[],"widgets_values_named":{},"color":"#2a363b","bgcolor":"#3f5159"},{"id":93,"type":"MaskToSEGS","pos":[10296.866991559167,2868.647823321422],"size":[270,160],"flags":{"collapsed":false,"pinned":true},"order":105,"mode":0,"inputs":[{"name":"mask","type":"MASK","link":88}],"outputs":[{"name":"SEGS","type":"SEGS","slot_index":0,"links":[99]}],"properties":{"cnr_id":"comfyui-impact-pack","ver":"8.14.2","Node name for S&R":"MaskToSEGS","aux_id":"ltdrdata/ComfyUI-Impact-Pack","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[false,2,false,15,false],"widgets_values_named":{"combined":false,"crop_factor":2,"bbox_fill":false,"drop_size":15,"contour_fill":false},"color":"#2a363b","bgcolor":"#3f5159"},{"id":94,"type":"UltralyticsDetectorProvider","pos":[10296.866991559167,2048.647823321422],"size":[270,80],"flags":{"pinned":true},"order":38,"mode":0,"inputs":[],"outputs":[{"name":"BBOX_DETECTOR","type":"BBOX_DETECTOR","links":[89]},{"name":"SEGM_DETECTOR","type":"SEGM_DETECTOR","links":[]}],"properties":{"cnr_id":"comfyui-impact-subpack","ver":"122a1fffa1b8fa2a50aa40d8e472f2d1f33d5574","Node name for 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Corrector","properties":{"cnr_id":"rgthree-comfy","ver":"8ff50e4521881eca1fe26aec9615fc9362474931","comparer_mode":"Slide","aux_id":"rgthree/rgthree-comfy","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[[{"name":"A","selected":true,"url":"/api/view?filename=rgthree.compare._temp_roiqx_00001_.png&type=temp&subfolder=&rand=0.16393803552441788"},{"name":"B","selected":true,"url":"/api/view?filename=rgthree.compare._temp_roiqx_00002_.png&type=temp&subfolder=&rand=0.9455071008557673"}]],"widgets_values_named":{"rgthree_comparer":{"images":[{"name":"A","selected":true,"url":"/api/view?filename=rgthree.compare._temp_roiqx_00001_.png&type=temp&subfolder=&rand=0.16393803552441788","img":{}},{"name":"B","selected":true,"url":"/api/view?filename=rgthree.compare._temp_roiqx_00002_.png&type=temp&subfolder=&rand=0.9455071008557673","img":{}}]}},"color":"#432","bgcolor":"#653"},{"id":128,"type":"GetImageSizeAndCount","pos":[12550,2960],"size":[240,90],"flags":{"pinned":true},"order":126,"mode":0,"inputs":[{"name":"image","type":"IMAGE","link":151}],"outputs":[{"name":"image","type":"IMAGE","links":[147,152,153,154,155,156]},{"label":"1664 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S&R":"WidgetToString","aux_id":"kijai/ComfyUI-KJNodes","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[28,"scheduler",false,"",2],"widgets_values_named":{"id":28,"widget_name":"scheduler","return_all":false,"node_title":"","allowed_float_decimals":2},"color":"#432","bgcolor":"#653"},{"id":132,"type":"WidgetToString","pos":[12550,3730],"size":[240,160],"flags":{"pinned":true},"order":131,"mode":0,"inputs":[{"name":"any_input","shape":7,"type":"*","link":155}],"outputs":[{"name":"STRING","type":"STRING","links":[148]}],"properties":{"cnr_id":"comfyui-kjnodes","ver":"7519171dd6b6ccea43091c6b73e42443bba11f5b","Node name for S&R":"WidgetToString","aux_id":"kijai/ComfyUI-KJNodes","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[28,"steps",false,"",2],"widgets_values_named":{"id":28,"widget_name":"steps","return_all":false,"node_title":"","allowed_float_decimals":2},"color":"#432","bgcolor":"#653"},{"id":81,"type":"MarkdownNote","pos":[8440,2900],"size":[380,180],"flags":{},"order":45,"mode":0,"inputs":[],"outputs":[],"title":"Regarding SeedVR2","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["#### The nodes used for SeedVR2 are taken from the searchable template for the seedVR2_3b found when clicking on the templates button typically located on the left side of your ComfyUI canvas.\n\n- These nodes are hidden in a subgraph on the template, but these were the default settings. I haven't messed with the settings, so change them at your own peril.\n\n- **The default denoise setting is 1.0**\n- Changing the **denoise** to lower values does seem to reduce the effect, but other than that IDK.\n- Denoise 0.40 works well for me when using it with SeedVR2 before USDU."],"widgets_values_named":{"text":"#### The nodes used for SeedVR2 are taken from the searchable template for the seedVR2_3b found when clicking on the templates button typically located on the left side of your ComfyUI canvas.\n\n- These nodes are hidden in a subgraph on the template, but these were the default settings. I haven't messed with the settings, so change them at your own peril.\n\n- **The default denoise setting is 1.0**\n- Changing the **denoise** to lower values does seem to reduce the effect, but other than that IDK.\n- Denoise 0.40 works well for me when using it with SeedVR2 before USDU."},"color":"#332922","bgcolor":"#593930"},{"id":4,"type":"ImpactWildcardProcessor","pos":[5676.866991559166,1928.6478233214218],"size":[670,430],"flags":{"pinned":true},"order":46,"mode":4,"inputs":[],"outputs":[{"name":"processed text","type":"STRING","links":[]}],"properties":{"cnr_id":"comfyui-impact-pack","ver":"8.28.2","Node name for S&R":"ImpactWildcardProcessor","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["","","populate",683602996108457,"randomize","Select Wildcard \ud83d\udfe2 Full Cache"],"widgets_values_named":{"wildcard_text":"","populated_text":"","mode":"populate","seed":683602996108457,"control_after_generate":"randomize","Select to add Wildcard":"Select Wildcard \ud83d\udfe2 Full Cache"},"color":"#232","bgcolor":"#353"},{"id":80,"type":"MarkdownNote","pos":[8436.866991559167,2578.647823321422],"size":[380,270],"flags":{"pinned":true},"order":47,"mode":0,"inputs":[],"outputs":[],"title":"Note: SeedVR2 Model Links","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## Model Links\n\n**vae**\n\n- [seedvr2_ema_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/vae/seedvr2_ema_vae_fp16.safetensors)\n\n**diffusion_models**\n\n- [seedvr2_3b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/diffusion_models/seedvr2_3b_int8_convrot.safetensors)\n\n\n## Model Storage Location\n\n```\n\ud83d\udcc2 ComfyUI/\n\u251c\u2500\u2500 \ud83d\udcc2 models/\n\u2502   \u251c\u2500\u2500 \ud83d\udcc2 vae/\n\u2502   \u2502   \u2514\u2500\u2500 seedvr2_ema_vae_fp16.safetensors\n\u2502   \u2514\u2500\u2500 \ud83d\udcc2 diffusion_models/\n\u2502       \u2514\u2500\u2500 seedvr2_3b_int8_convrot.safetensors\n```\n"],"widgets_values_named":{"text":"## Model Links\n\n**vae**\n\n- [seedvr2_ema_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/vae/seedvr2_ema_vae_fp16.safetensors)\n\n**diffusion_models**\n\n- [seedvr2_3b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/diffusion_models/seedvr2_3b_int8_convrot.safetensors)\n\n\n## Model Storage Location\n\n```\n\ud83d\udcc2 ComfyUI/\n\u251c\u2500\u2500 \ud83d\udcc2 models/\n\u2502   \u251c\u2500\u2500 \ud83d\udcc2 vae/\n\u2502   \u2502   \u2514\u2500\u2500 seedvr2_ema_vae_fp16.safetensors\n\u2502   \u2514\u2500\u2500 \ud83d\udcc2 diffusion_models/\n\u2502       \u2514\u2500\u2500 seedvr2_3b_int8_convrot.safetensors\n```\n"},"color":"#332922","bgcolor":"#593930"},{"id":134,"type":"MarkdownNote","pos":[3440,2610],"size":[430,270],"flags":{"pinned":true},"order":48,"mode":0,"inputs":[],"outputs":[],"title":"Note: SeedVR2 Model Links","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## Model Links\n\n**vae**\n\n- [seedvr2_ema_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/vae/seedvr2_ema_vae_fp16.safetensors)\n\n**diffusion_models**\n\n- [seedvr2_3b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/diffusion_models/seedvr2_3b_int8_convrot.safetensors)\n\n\n## Model Storage Location\n\n```\n\ud83d\udcc2 ComfyUI/\n\u251c\u2500\u2500 \ud83d\udcc2 models/\n\u2502   \u251c\u2500\u2500 \ud83d\udcc2 vae/\n\u2502   \u2502   \u2514\u2500\u2500 seedvr2_ema_vae_fp16.safetensors\n\u2502   \u2514\u2500\u2500 \ud83d\udcc2 diffusion_models/\n\u2502       \u2514\u2500\u2500 seedvr2_3b_int8_convrot.safetensors\n```\n"],"widgets_values_named":{"text":"## Model Links\n\n**vae**\n\n- [seedvr2_ema_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/vae/seedvr2_ema_vae_fp16.safetensors)\n\n**diffusion_models**\n\n- [seedvr2_3b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/diffusion_models/seedvr2_3b_int8_convrot.safetensors)\n\n\n## Model Storage Location\n\n```\n\ud83d\udcc2 ComfyUI/\n\u251c\u2500\u2500 \ud83d\udcc2 models/\n\u2502   \u251c\u2500\u2500 \ud83d\udcc2 vae/\n\u2502   \u2502   \u2514\u2500\u2500 seedvr2_ema_vae_fp16.safetensors\n\u2502   \u2514\u2500\u2500 \ud83d\udcc2 diffusion_models/\n\u2502       \u2514\u2500\u2500 seedvr2_3b_int8_convrot.safetensors\n```\n"},"color":"#332922","bgcolor":"#593930"},{"id":1,"type":"Bookmark (rgthree)","pos":[3390,1800],"size":[210,70],"flags":{"collapsed":true,"pinned":true},"order":49,"mode":0,"inputs":[],"outputs":[],"title":"Start Here","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["1",1],"widgets_values_named":{"shortcut_key":"1","zoom":1},"color":"#432","bgcolor":"#653"},{"id":3,"type":"MarkdownNote","pos":[3436.8669915591663,1928.6478233214218],"size":[430,630],"flags":{"pinned":true},"order":50,"mode":0,"inputs":[],"outputs":[],"title":"Missing Custom Nodes? See below for the link/URL","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["# \u26a0\ufe0f Custom nodes I use with this workflow\n---\n#### [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)\n* https://github.com/rgthree/rgthree-comfy\n\n#### [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\n* https://github.com/pythongosssss/ComfyUI-Custom-Scripts\n\n#### [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)\n* https://github.com/kijai/ComfyUI-KJNodes\n\n#### [ComfyUI_UltimateSDUpscale](https://github.com/ssitu/ComfyUI_UltimateSDUpscale)\n* https://github.com/ssitu/ComfyUI_UltimateSDUpscale\n\n#### [ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack)\n* https://github.com/ltdrdata/ComfyUI-Inspire-Pack\n\n#### [ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n* https://github.com/ltdrdata/ComfyUI-Impact-Pack\n\n#### [ComfyUI-Impact-Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)\n* https://github.com/ltdrdata/ComfyUI-Impact-Subpack\n\n#### [ComfyMath](https://github.com/evanspearman/ComfyMath)\n* https://github.com/evanspearman/ComfyMath\n\n#### [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)\n* https://github.com/alexopus/ComfyUI-Image-Saver\n\n#### [comfyui-gps-supplements](https://github.com/Goshe-nite/comfyui-gps-supplements)\n* https://github.com/Goshe-nite/comfyui-gps-supplements\n\n#### [ComfyUI-Easy-Color-Corrector](https://github.com/regiellis/ComfyUI-EasyColorCorrector)\n* https://github.com/regiellis/ComfyUI-EasyColorCorrector"],"widgets_values_named":{"text":"# \u26a0\ufe0f Custom nodes I use with this workflow\n---\n#### [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)\n* https://github.com/rgthree/rgthree-comfy\n\n#### [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\n* https://github.com/pythongosssss/ComfyUI-Custom-Scripts\n\n#### [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)\n* https://github.com/kijai/ComfyUI-KJNodes\n\n#### [ComfyUI_UltimateSDUpscale](https://github.com/ssitu/ComfyUI_UltimateSDUpscale)\n* https://github.com/ssitu/ComfyUI_UltimateSDUpscale\n\n#### [ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack)\n* https://github.com/ltdrdata/ComfyUI-Inspire-Pack\n\n#### [ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n* https://github.com/ltdrdata/ComfyUI-Impact-Pack\n\n#### [ComfyUI-Impact-Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)\n* https://github.com/ltdrdata/ComfyUI-Impact-Subpack\n\n#### [ComfyMath](https://github.com/evanspearman/ComfyMath)\n* https://github.com/evanspearman/ComfyMath\n\n#### [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)\n* https://github.com/alexopus/ComfyUI-Image-Saver\n\n#### [comfyui-gps-supplements](https://github.com/Goshe-nite/comfyui-gps-supplements)\n* https://github.com/Goshe-nite/comfyui-gps-supplements\n\n#### [ComfyUI-Easy-Color-Corrector](https://github.com/regiellis/ComfyUI-EasyColorCorrector)\n* https://github.com/regiellis/ComfyUI-EasyColorCorrector"},"color":"#432","bgcolor":"#653"},{"id":7,"type":"Power Lora Loader (rgthree)","pos":[4538.8198137316895,1657.2771830284123],"size":[560.8304324951177,195.08221624755856],"flags":{"pinned":true},"order":67,"mode":0,"inputs":[{"dir":3,"name":"model","type":"MODEL","link":1},{"dir":3,"name":"clip","type":"CLIP","link":2}],"outputs":[{"dir":4,"name":"MODEL","shape":3,"type":"MODEL","links":[7,10,12,71,97,115,135]},{"dir":4,"name":"CLIP","shape":3,"type":"CLIP","links":[4,101,120,139]}],"properties":{"cnr_id":"rgthree-comfy","ver":"1.0.2607232129","Show Strengths":"Single Strength","Match":"","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[{},{"type":"PowerLoraLoaderHeaderWidget"},{"on":false,"lora":"krea2/Krea2_TextFusion_Refusal_Reduction.safetensors","strength":1,"strengthTwo":null},{},""],"widgets_values_named":{"divider":{},"PowerLoraLoaderHeaderWidget":{"type":"PowerLoraLoaderHeaderWidget"},"lora_1":{"on":false,"lora":"krea2/Krea2_TextFusion_Refusal_Reduction.safetensors","strength":1,"strengthTwo":null},"\u2795 Add Lora":""},"color":"#323","bgcolor":"#535"},{"id":135,"type":"AlexImagePicker","pos":[7345.183508056645,1581.1318308263876],"size":[270,82],"flags":{},"order":83,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":168}],"outputs":[{"name":"images","type":"IMAGE","links":[169]}],"properties":{"cnr_id":"comfyui-image-picker","ver":"d8d3fbd857566fb706199bd9c311c4826616b828","Node name for S&R":"AlexImagePicker","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"}},"widgets_values":["single",30],"widgets_values_named":{"mode":"single","timeout":30}},{"id":8,"type":"StringFunction|pysssss","pos":[4956.866991559166,1928.6478233214218],"size":[690,610],"flags":{"pinned":true},"order":51,"mode":0,"inputs":[],"outputs":[{"label":"positive","name":"STRING","type":"STRING","links":[5,11]}],"title":"Positive Prompt","properties":{"cnr_id":"comfyui-custom-scripts","ver":"1.2.5","Node name for S&R":"StringFunction|pysssss","aux_id":"pythongosssss/ComfyUI-Custom-Scripts","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["append","no","Two armored warriors face each other in a dense grove of tall green bamboo, caught at the exact moment their curved swords meet in a locked clash directly between them, sparks of light glinting where the blade edges press against one another. The warrior on the left is planted in a low, wide stance, back leg bent and braced hard against the packed earth, front foot forward with the heel dug in, torso twisted into the strike, one gloved hand gripping the sword hilt with the other braced against the flat of the blade for extra force. They wear a dark indigo lamellar chest plate over a black underlayer, wide hakama-style trousers cinched at the waist with a wide cloth sash, and simple leather sandals gripping the dirt. The warrior on the right mirrors the stance in reverse, weight braced back on a bent rear leg, their crimson-lacquered armor catching a shaft of light breaking through the canopy, a torn strip of white cloth tied around one forearm. Both faces are set in sharp focus and gritted determination, eyes locked on each other over the crossed blades. At the exact point of contact, a small burst of pale sparks and a few splintered fragments of bamboo leaf fly outward, caught frozen mid-air by the force of the strike. Tall bamboo stalks rise on all sides, densely packed, their narrow leaves rustling and a scattering of loose green and yellow leaves drifting down from the impact, some already settled on the dirt path below. Shafts of soft golden light break through gaps in the bamboo canopy overhead, cutting diagonal beams through a light haze of dust kicked up from the ground, illuminating the clashed blades brightly while the surrounding grove falls into deep green shadow. The camera is positioned at a low three-quarter angle, roughly chest height, framing both fighters symmetrically with the crossed blades at the center of the composition and the bamboo grove stretching into soft focus on either side. Overall aesthetic: detailed anime/digital-illustration style, dynamic action linework, high contrast between warm light beams and cool shadow, tense and kinetic mood, crisp rendering on armor plating and bamboo texture.","","",["A small, weathered street food stall sits tucked against a narrow brick alley wall at night, its faded red canvas awning sagging slightly under steady rainfall, warm yellow light spilling out from a single bare bulb hanging above the counter. Behind the counter, an elderly vendor in a worn apron stirs a large steaming pot of broth with a long wooden ladle, thick white steam curling upward and drifting sideways in the cool night air. A lone customer sits on a low wooden stool at the counter, hunched slightly forward over a chipped ceramic bowl of noodles, chopsticks raised mid-bite, a canvas jacket beaded with rain droplets draped over their shoulders. A closed, dark green umbrella stands propped upright on the wet cobblestone ground directly beside the stool's front leg, its pointed metal tip resting flat on the stone and its curved wooden handle hooked over the edge of the stool seat, keeping it stable and fully touching the ground \u2014 not floating or tilted in open air. Strings of small paper lanterns and a few hand-painted wooden signs with faded lettering hang from the stall's low wooden frame, swaying gently. The alley floor is wet cobblestone, reflecting the warm glow of the stall's bulb, scattered neon shop signs glowing pink and cyan further down the alley, and the cold blue-gray tone of the rain-soaked night beyond. Raindrops fall visibly through the frame, catching both the warm bulb light and the distant cool neon in streaks, with small ripples spreading across puddles pooled between the cobblestones. Steam from the pot and breath in the cold air mix into a soft haze around the stall, softly diffusing the light. The camera is positioned at eye level with the seated customer, framed from a slight three-quarter angle across the counter, capturing the vendor, the pot, the bowl of noodles, and the rainy alley stretching into soft-focus darkness behind them, with the umbrella clearly grounded against the base of the stool in the lower part of the frame. Lighting is a warm-cool contrast: golden-amber light from the bulb and pot dominating the foreground, fading into deep blue-gray shadow and distant neon toward the alley's depths. 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