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[ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502   \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502   \\u2502      \\u2514\\u2500\\u2500 qwen_3_4b.safetensors\\n\\u2502   \\u251c\\u2500\\u2500 \\ud83d\\udcc2 loras/\\n\\u2502   \\u2502      \\u2514\\u2500\\u2500 pixel_art_style_z_image_turbo.safetensors\\n\\u2502   \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502   \\u2502      \\u2514\\u2500\\u2500 z_image_turbo_bf16.safetensors\\n\\u2502   \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502          \\u2514\\u2500\\u2500 ae.safetensors\\n```\\n\"], \"color\": \"#432\", \"bgcolor\": \"#000\"}, {\"id\": 43, \"type\": \"VAEDecode\", \"pos\": [1264.472933855545, 829.0226106243604], \"size\": [210, 46], \"flags\": {\"collapsed\": true}, \"order\": 12, \"mode\": 0, \"inputs\": 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\"ModelSamplingAuraFlow\", \"pos\": [900.2638101844517, 265.2545050421948], \"size\": [310, 60], \"flags\": {}, \"order\": 10, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 60}], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"slot_index\": 0, \"links\": [40]}], \"properties\": {\"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"cnr_id\": \"comfy-core\", \"ver\": \"0.3.64\", \"Node name for S&R\": \"ModelSamplingAuraFlow\", \"ue_properties\": {\"widget_ue_connectable\": {\"shift\": true}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [3]}, {\"id\": 35, \"type\": \"MarkdownNote\", \"pos\": [-390, 270], \"size\": [490, 400], \"flags\": {\"collapsed\": false}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Model link\", \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"## Report workflow issue\\n\\nIf you found any issues when running this workflow, [report template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\\n## Model links\\n\\n**text_encoders**\\n\\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors)\\n\\n**loras**\\n\\n- [pixel_art_style_z_image_turbo.safetensors](https://huggingface.co/tarn59/pixel_art_style_lora_z_image_turbo/resolve/main/pixel_art_style_z_image_turbo.safetensors)\\n\\n**diffusion_models**\\n\\n- [z_image_turbo_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors)\\n\\n**vae**\\n\\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502   \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502   \\u2502      \\u2514\\u2500\\u2500 qwen_3_4b.safetensors\\n\\u2502   \\u251c\\u2500\\u2500 \\ud83d\\udcc2 loras/\\n\\u2502   \\u2502      \\u2514\\u2500\\u2500 pixel_art_style_z_image_turbo.safetensors\\n\\u2502   \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502   \\u2502      \\u2514\\u2500\\u2500 z_image_turbo_bf16.safetensors\\n\\u2502   \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502          \\u2514\\u2500\\u2500 ae.safetensors\\n```\\n\"], \"color\": \"#432\", \"bgcolor\": \"#000\"}, {\"id\": 43, \"type\": \"VAEDecode\", \"pos\": [1264.472933855545, 829.0226106243604], \"size\": [210, 46], \"flags\": {\"collapsed\": true}, \"order\": 12, \"mode\": 0, \"inputs\": [{\"name\": \"samples\", \"type\": \"LATENT\", \"link\": 38}, {\"name\": \"vae\", \"type\": \"VAE\", \"link\": 39}], \"outputs\": 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+    "steps": 9,
+    "width": 1024,
+    "height": 1024,
+    "prompt": "This is a close-up, slightly tilted selfie of a young woman with long, straight, platinum blonde hair that has subtle greyish undertones. She is smiling broadly, showing her teeth, and her eyes are looking upward and to her right, conveying a cheerful and playful expression. Her makeup is prominent, featuring long, dark, voluminous false eyelashes and defined eyebrows. She has a few visible freckles on her nose and cheeks.\n\nShe is wearing a large, pink and grey gaming headset with a boom microphone that is positioned near her mouth. The headset has pink earcups and a grey headband. On top of her head, she has pink, fuzzy cat ears attached to the headset. Around her neck, she wears a thin, gold-colored chain necklace.\n\nThe background is an indoor setting, likely a bedroom or personal space. Behind her, to the upper right, there is a black bag with white text and a logo that appears to say \"DEFI\" and \"T-REVEAL\". The wall behind her is a neutral, light beige color. The lighting is soft and appears to be from an indoor source, illuminating her face directly. The overall aesthetic is youthful, playful, and associated with gaming or streaming culture.",
+    "denoise": 1,
+    "sampler": "res_multistep",
+    "cfgScale": 1,
+    "scheduler": "simple",
+    "additionalResources": [
+      {
+        "name": "AltGirl V2.safetensors",
+        "type": "lora",
+        "strength": 1
+      }
+    ]
+  },
+  "availability": "Public",
+  "hasMeta": true,
+  "hasPositivePrompt": true,
+  "onSite": false,
+  "remixOfId": null
+}

z-image-base/lora/Alt-Girl&E-Girl/extra_data-vid_2707593/121811658.json

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She has shoulder-length, wavy, platinum blonde hair with straight-cut bangs that partially cover her forehead. Her skin is fair with a noticeable flush of peachy-pink blush on her cheeks and a subtle shimmer on her eyelids. She has light brown, well-defined eyebrows, and her eyes are a light, muted green or hazel, with long, dark lashes. Her gaze is directed slightly off-camera, giving her a pensive or contemplative expression.\\n\\nHer facial features include a small, delicate nose ring with a gold-colored, crescent-shaped charm, and a few faint freckles are visible across her nose and cheeks. Her lips are full and painted with a soft, matte coral-pink lipstick. She is wearing a light beige or cream-colored, ribbed knit sweater that has a few small, deliberate holes or distressed areas on the front, just below the neckline.\\n\\nHer accessories are prominent and stylish: she wears multiple gold necklaces, including a delicate chain with a small, round pendant and a thicker chain with a larger, more ornate pendant. On her right ear, she has a large, gold-colored hoop earring, and a small, thin gold chain is visible on her left earlobe. Her right hand is partially visible, resting on her chest and pulling the sweater fabric slightly away from her body.\\n\\nThe background is softly blurred, suggesting an indoor setting, likely a bedroom or living room. A colorful, patterned pendant lamp with a red and orange hue hangs from the ceiling in the upper right corner, casting a warm glow. Other out-of-focus lights and indistinct shapes are visible, including what appears to be a doorway or window frame on the left side. The overall aesthetic is cozy, youthful, and fashion-forward, with a focus on soft textures, warm tones, and personal style.\", \"clip\": [\"39\", 0]}, \"class_type\": \"CLIPTextEncode\", \"_meta\": {\"title\": \"CLIP Text Encode (Prompt)\"}}, \"46\": {\"inputs\": {\"unet_name\": \"z_image_turbo_bf16.safetensors\", \"weight_dtype\": \"default\"}, \"class_type\": \"UNETLoader\", \"_meta\": {\"title\": \"Load Diffusion Model\"}}, \"47\": {\"inputs\": {\"shift\": 3.0, \"model\": [\"48\", 0]}, \"class_type\": \"ModelSamplingAuraFlow\", \"_meta\": {\"title\": \"ModelSamplingAuraFlow\"}}, \"48\": {\"inputs\": {\"lora_name\": \"AltGirl V2.safetensors\", \"strength_model\": 1.0, \"model\": [\"46\", 0]}, \"class_type\": \"LoraLoaderModelOnly\", \"_meta\": {\"title\": \"Load LoRA\"}}, \"57\": {\"inputs\": {\"purge_cache\": true, \"purge_models\": true, \"anything\": [\"43\", 0]}, \"class_type\": \"LayerUtility: PurgeVRAM V2\", \"_meta\": {\"title\": \"LayerUtility: Purge VRAM V2\"}}, \"58\": 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\"order\": 11, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 40}, {\"name\": \"positive\", \"type\": \"CONDITIONING\", \"link\": 41}, {\"name\": \"negative\", \"type\": \"CONDITIONING\", \"link\": 42}, {\"name\": \"latent_image\", \"type\": \"LATENT\", \"link\": 43}], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"slot_index\": 0, \"links\": [38]}], \"properties\": {\"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"cnr_id\": \"comfy-core\", \"ver\": \"0.3.64\", \"Node name for S&R\": \"KSampler\", \"ue_properties\": {\"widget_ue_connectable\": {\"seed\": true, \"steps\": true, \"cfg\": true, \"sampler_name\": true, \"scheduler\": true, \"denoise\": true}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [1047843570351932, \"randomize\", 9, 1, \"res_multistep\", \"simple\", 1]}, {\"id\": 47, \"type\": \"ModelSamplingAuraFlow\", \"pos\": [900.2638101844517, 265.2545050421948], \"size\": [310, 60], \"flags\": {}, \"order\": 10, \"mode\": 0, \"inputs\": [{\"name\": \"model\", \"type\": \"MODEL\", \"link\": 60}], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"slot_index\": 0, \"links\": [40]}], \"properties\": {\"enableTabs\": false, \"tabWidth\": 65, \"tabXOffset\": 10, \"hasSecondTab\": false, \"secondTabText\": \"Send Back\", \"secondTabOffset\": 80, \"secondTabWidth\": 65, \"cnr_id\": \"comfy-core\", \"ver\": \"0.3.64\", \"Node name for S&R\": \"ModelSamplingAuraFlow\", \"ue_properties\": {\"widget_ue_connectable\": {\"shift\": true}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [3]}, {\"id\": 35, \"type\": \"MarkdownNote\", \"pos\": [-390, 270], \"size\": [490, 400], \"flags\": {\"collapsed\": false}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [], \"title\": \"Model link\", \"properties\": {\"ue_properties\": {\"widget_ue_connectable\": {}, \"version\": \"7.5.2\", \"input_ue_unconnectable\": {}}}, \"widgets_values\": [\"## Report workflow issue\\n\\nIf you found any issues when running this workflow, [report template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\\n\\n\\n## Model links\\n\\n**text_encoders**\\n\\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors)\\n\\n**loras**\\n\\n- [pixel_art_style_z_image_turbo.safetensors](https://huggingface.co/tarn59/pixel_art_style_lora_z_image_turbo/resolve/main/pixel_art_style_z_image_turbo.safetensors)\\n\\n**diffusion_models**\\n\\n- [z_image_turbo_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors)\\n\\n**vae**\\n\\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors)\\n\\n\\nModel Storage Location\\n\\n```\\n\\ud83d\\udcc2 ComfyUI/\\n\\u251c\\u2500\\u2500 \\ud83d\\udcc2 models/\\n\\u2502   \\u251c\\u2500\\u2500 \\ud83d\\udcc2 text_encoders/\\n\\u2502   \\u2502      \\u2514\\u2500\\u2500 qwen_3_4b.safetensors\\n\\u2502   \\u251c\\u2500\\u2500 \\ud83d\\udcc2 loras/\\n\\u2502   \\u2502      \\u2514\\u2500\\u2500 pixel_art_style_z_image_turbo.safetensors\\n\\u2502   \\u251c\\u2500\\u2500 \\ud83d\\udcc2 diffusion_models/\\n\\u2502   \\u2502      \\u2514\\u2500\\u2500 z_image_turbo_bf16.safetensors\\n\\u2502   \\u2514\\u2500\\u2500 \\ud83d\\udcc2 vae/\\n\\u2502          \\u2514\\u2500\\u2500 ae.safetensors\\n```\\n\"], \"color\": \"#432\", \"bgcolor\": \"#000\"}, {\"id\": 43, \"type\": \"VAEDecode\", \"pos\": [1264.472933855545, 829.0226106243604], \"size\": [210, 46], \"flags\": {\"collapsed\": true}, \"order\": 12, \"mode\": 0, \"inputs\": [{\"name\": \"samples\", \"type\": \"LATENT\", \"link\": 38}, {\"name\": \"vae\", \"type\": \"VAE\", \"link\": 39}], \"outputs\": 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z-image-base/lora/Erect Penis Bulge/extra_data-vid_2783227/model_dict-mid_2218392-vid_2783227.json

@@ -0,0 +1,521 @@
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+  "description": "<h1 id=\"v1.0\">V1.0<br /></h1><p>This version uses ZImage Base as the base model. It was trained on a larger dataset and has a much higher success rate. Two optional trigger words have been added: <strong>Bulg3_TF</strong> and <strong>Bulg3_LF</strong>.</p><p>These trigger words help the LoRA understand how to render bulges on clothing types that were not present in the training dataset.</p><p>Use Bulg3_TF for fabrics that tightly wrap around the penis and testicles (tight jeans, underwear, etc.), and Bulg3_LF for fabrics that loosely wrap around them (such as regular pants, loose shorts, sweatpants, etc.).<br /><br />All preview images in this post were created in ComfyUI using the standard ZImage Base workflow from the Templates.</p><p><strong>Settings:</strong> CFG: 4, steps: 25, sampler: res_multistep, scheduler: beta.</p><p>The initial prompt was enhanced using the official Prompt Enhancer from the ZImage developers: <a rel=\"ugc\" href=\"https://www.reddit.com/r/StableDiffusion/comments/1p87xcd/zimage_prompt_enhancer/\">link </a> </p><p><br />Example of initial prompt:<br /></p><p><br /><strong>A man with a visible erection bulge in his shorts. The bulge is directed to the left and clearly defined.</strong></p><p>A medium shot of a lifeguard sitting on a lifeguard tower, looking through binoculars. He is wearing short yellow shorts. <strong>In the crotch area, the outline of an erection bulge is clearly visible. The contours of two rounded testicles and the ridge of the shaft are strongly defined beneath the stretched fabric.</strong></p><p>The lighting is bright and natural, emphasizing the contours of the bulge and the man’s physique. The background is a beach. <strong>The mood of the photo is erotic and intimate</strong>. The image appears to be taken with a professional camera.</p><p></p><h1 id=\"v0.9\">v0.9<br /></h1><p><br /><strong>Note:</strong><br />This release is labeled <strong>v0.9</strong> because the LoRA can still be somewhat stubborn when generating bulges under certain parameter combinations, and there is clearly room for further improvement.</p><hr /><h2 id=\"what's-new\">What’s New</h2><ol><li><p><strong>No custom trigger word required</strong><br />The LoRA no longer relies on the custom trigger word <code>3r3ctC0ckBulg3</code>. It can now be activated simply by using the word <strong>“bulge”</strong> in the prompt.<br />That said, prompts using <strong>“erection bulge”</strong> tend to produce more consistent and stronger results.</p></li><li><p><strong>Recommended prompt preamble</strong><br />While the LoRA can work without it, using a structured preamble is strongly recommended:</p><p><em>A [man/woman] with an erection bulge in [type of clothing: pants, underwear, wrestling singlet, shorts, etc.]. The bulge is directed [upward, to the left/right, downward, downward along the left/right thigh]. The bulge is [slightly, clearly, strongly, etc.] visible. [YOUR REGULAR PROMPT]</em></p><p>This helps the model lock onto anatomy, direction, and visibility early in the generation.</p></li><li><p><strong>Wider clothing support</strong><br />This version works with a <strong>broader variety of clothing</strong> compared to earlier releases.<br />Not every clothing type has been tested yet—if you encounter a specific clothing type that consistently fails to produce a bulge, please mention it in the comments so I can include examples in the dataset for the upcoming <strong>v1</strong> release.</p></li><li><p><strong>Improved direction handling (with natural limits)</strong><br />The LoRA now has a more flexible understanding of <strong>bulge direction</strong>.<br />However, each clothing type still has natural limitations. For example:</p><ul><li><p>Underwear most naturally supports <strong>left or right</strong> directions.</p></li><li><p>Upward bulges in underwear are still possible, but usually require very detailed prompting and may only produce <em>okay</em> results at best.</p></li></ul></li><li><p><strong>Better performance on black fabrics</strong><br />Compared to <strong>v0.5</strong>, this version has a significantly improved understanding of <strong>black clothing</strong>, allowing for much clearer and more reliable bulge definition under dark fabrics.</p></li><li><p><strong>Experimental support for women</strong><br />The LoRA can now also generate bulges for <strong>women</strong>, although this functionality has not yet been thoroughly tested and should be considered experimental.</p></li><li><p><strong>Important:</strong> Most of the training dataset consists of close-up images of bulges. As a result, the LoRA tends to generate cropped compositions by default, often excluding the face. To obtain full-body shots, the face (or facial features) should be explicitly described in the prompt.</p></li></ol><hr /><h2 id=\"what-remains-the-same\">What Remains the Same</h2><p>Providing <strong>detailed anatomical descriptions</strong> can still noticeably improve results, for example:</p><p><em>���A massive, anatomically detailed bulge is clearly visible — the outline of large, rounded testicles and a thick shaft pressed against the underwear, with the lower curve of the testicles and the ridge of the shaft distinctly highlighted.”</em></p><p>Describing <strong>lighting interaction</strong> continues to be beneficial:</p><p><em>“Sunlight casts sharp highlights and shadows, emphasizing the bulge’s contours, especially the lower curve of the testicles and the shape of the shaft.”</em></p><p></p><h1 id=\"v0.5\">v0.5</h1><p></p><p><br />This is an <strong>alpha version</strong> of a LoRA I trained to experiment with LoRA training on <strong>Z-Image</strong>. It was trained on ~40 images of varying quality, so do not expect excellent generations, but it can produce <strong>decent bulges in most cases</strong>.</p><p>The trigger word is <code>3r3ctC0ckBulg3</code>, but it can also work <strong>without the trigger</strong>. You just need to describe the bulge in the prompt, for example:</p><p><em>“A massive, anatomically detailed bulge is clearly visible.”</em></p><p>Sometimes, providing a more detailed description helps, such as:</p><p><em>“A massive, anatomically detailed bulge is clearly visible — the outline of large, rounded testicles and a thick shaft pressed against the underwear, with the lower curve of the testicles and the ridge of the shaft distinctly highlighted.”</em></p><p>It can also help to describe how light interacts with the bulge, for example:</p><p><em>“Sunlight casts sharp highlights and shadows, emphasizing the bulge’s contours, especially the lower curve of the testicles and the shape of the shaft.”</em><br />Recommended parameters:</p><ul><li><p><strong>Sampler:</strong> <code>res_2s</code></p></li><li><p><strong>Scheduler:</strong> <code>beta57</code></p></li></ul><h3 id=\"known-issues:\">Known issues:</h3><ol><li><p>It can only generate bulges for <strong>underwear and singlets</strong> (see example images).</p></li><li><p>It struggles to add bulges to <strong>completely black clothing</strong> (likely because it relies on highlights and shadows, which are harder to produce on black fabrics).</p></li><li><p>It may reduce overall image quality; in that case, use a <strong>LoRA weight of 0.7–0.9</strong>.</p></li><li><p>It appears to generate <strong>only cis men with bulges</strong> and does not work for trans women.</p></li><li><p>In some cases, the model cannot decide <strong>which side the penis is tucked</strong>, resulting in a <strong>double-bulge / double-shaft artifact</strong>. In such cases, explicitly specifying the direction of the curve (e.g., <em>curved to the left</em> or <em>curved to the right</em>) usually fixes the issue (see the image with the man in a singlet).</p></li></ol><p>I hope to find some time in the future to improve the training dataset and address the issues listed above.</p>",
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z-image-base/lora/Z-Image - Better Pussy/extra_data-vid_2932325/model_dict-mid_2611545-vid_2932325.json

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+  "description": "<p>Hello everyone! <br />My previous LoRA, <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.red/models/2563707/z-image-better-pussy-spread\"><strong>Z-Image - Better Pussy Spread</strong></a>, was trained using images of pussy in a stretched, finger spread state. However, since pussy isn't typically spread open in most poses, that LoRA isn't well suited for general purpose inpainting. For this reason, I've trained a new LoRA on a dataset of 50 realistic images of pussy in its natural, unstretched state. I believe this version will work better as a general purpose pussy detailer lora.<br /><br />Prompt for inpainting:</p><pre><code>better_pussy, pubic_hair, inner_labia_closed,</code></pre><p>Lora strength: 1.0</p><p>Recommend base model for inpainting: <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.red/models/2384856/moody-wild-mix-zibzid?modelVersionId=2943353\"><strong>Moody Wild Mix - V4.0 Distilled 10STEPS</strong></a></p><p>Inpainting workflow: <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.red/models/2611636/manual-z-image-inpainting-workflow\"><strong>Z-Image - Pussy Inpainting Workflow</strong></a></p>",
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