工作流 /
图像 /
Gladas' Workflow for Krea 2 Turbo
Gladas' Workflow for Krea 2 Turbo
Gladas' Workflow for Krea 2 Turbo
AIO Loaders have been removed as of v12. If you use AIO models, you can easily add a checkpoint loader to replace the existing loaders and connect them accordingly.The default Load Diffusion Model loader looks for your K…
图像
95 个节点 3,776 次使用 Gladas 128 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。
gladas_krea_2_turbo_v13.json
模型库暂未收录
节点构成
MarkdownNote
× 8
Fast Groups Bypasser (rgthree)
× 5
WidgetToString
× 5
Bookmark (rgthree)
× 4
StringConcatenate
× 4
SamplerCustomAdvanced
× 3
RandomNoise
× 3
CFGGuider
× 3
KSamplerSelect
× 3
BasicScheduler
× 3
Any Switch (rgthree)
× 3
ComfyNumberConvert
× 3
UNETLoader
× 2
PrimitiveStringMultiline
× 2
VAELoader
× 2
Power Lora Loader (rgthree)
× 2
官方标注的模型
4x-UltraSharpV2_Lite.safetensorsGladas_Style_v2-krea2.safetensorshex-maniac-krea2-lora-nochekaiser.safetensorsqwen3vl_4b_bf16.safetensorsqwen_image_vae.safetensorsseedvr2_3b_int8_convrot.safetensorsseedvr2_ema_vae_fp16.safetensorsvxpKrea2Nsfw_beta31INT8.safetensorswetness_krea2_loraholic.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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368 "body_waist": 5,
369 "body_hips": 5,
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382 "hair_type": "— off —",
383 "hair_style": "— off —",
384 "hair_color": "— off —",
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386 "cyberpunk_outfit": "— off —",
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388 "cyberpunk_weapon": "— off —",
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391 "cyberpunk_pose": "— off —",
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393 "dresses_eastern": "— off —",
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398 "autumnal_oxidation_accent_palette": "— random —",
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401 "cassette_futurism_outfit": "— off —",
402 "cassette_futurism_accent_palette": "— off —",
403 "cassette_futurism_environment": "— off —",
404 "cassette_futurism_pose": "— off —",
405 "lingerie_set": "— random —",
406 "halloween_outfit": "— random —",
407 "halloween_environment": "— random —",
408 "halloween_pose": "— random —",
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413 "fantasy_outfit": "— random —",
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415 "fantasy_accent_palette": "— random —",
416 "fantasy_environment": "— random —",
417 "fantasy_pose": "— random —",
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420 "shots_angle": "— random —",
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424 "control_after_generate": "randomize",
425 "label_output": "labeled",
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822 "You are an expert Prompt Engineer and Visual Analyst specialized in reverse-engineering images and text imput into highly effective prompts for Krea-2, Krea's aesthetic-first text-to-image foundation model (single-stream MMDiT architecture with Qwen3-VL-4B-Instruct text encoder using multi-layer feature aggregation and Qwen Image VAE).\n\nYour task is to analyze any image or text input provided by the user and generate a rich, detailed, natural-language prompt that enables Krea-2 to faithfully recreate the exact visual content, composition, lighting, textures, materials, mood, and aesthetic qualities of the reference image.\n\nGUIDELINES FOR PROMPT GENERATION:\n1. Natural Language & Flow: Write the prompt as a vivid, flowing description you would give to a highly skilled visual artist or photographer. Krea-2 excels with rich, contextual natural language. Long, specific, descriptive prompts produce the best results and highest fidelity. Avoid mechanical keyword lists or comma-stuffed style; weave everything into coherent, readable prose.\n\n2. Direct Description: Start directly with the main subject or scene. Never use meta phrases like \"In this image...\" or \"The photo shows...\".\n\n3. Subject, Pose & Action: Clearly describe the main subject(s), exact pose, body language, gaze direction, facial expression, and what they are doing. If the face is obscured, describe what is obscuring it and why.\n\n4. Fashion, Hair & Textures: Be extremely specific about clothing, fabrics (denim, silk, leather, knit, etc.), patterns, fit (baggy, tailored, oversized, flared), wear and condition, footwear, accessories, and how materials catch light. Describe hair style, texture, and movement in detail.\n\n5. Props, Materials & Details: List and describe every significant object with precise material qualities (quilted leather, brushed metal, crumpled paper, weathered wood, glossy ceramic, etc.) and how light interacts with their surfaces.\n\n6. Composition, Framing & Perspective: Describe the shot type (full-body, medium close-up, extreme close-up, wide shot), camera angle (eye-level, low angle, high angle, Dutch tilt), framing, depth of field, focus, negative space, leading lines, balance, and spatial relationships between elements. Note how the scene is organized within the frame.\n\n7. Environment & Background: Describe the setting, architecture, textures (weathered concrete, tiled floor, dense foliage), spatial depth, and overall atmosphere with precision.\n\n8. Lighting, Color & Atmosphere: Detail the lighting quality and direction (soft diffused window light, golden hour side lighting, harsh overhead, dramatic cinematic rim light, etc.), shadows, highlights, color palette and harmony (muted earth tones, vibrant saturated accents, cool desaturated, warm filmic cast), contrast, and the overall mood/emotional tone.\n\n9. Text in Image: If any legible text, signage, labels, typography, or writing appears in the image, transcribe it accurately. Enclose the exact text content in double quotation marks in the prompt (e.g., a storefront sign that reads \"OPEN LATE\").\n\n10. Aesthetic & Medium: Identify the apparent medium or visual style (photorealistic photography, digital painting, stylized illustration, cinematic still, editorial fashion, moody concept art, etc.) and integrate key aesthetic qualities naturally into the description. Krea-2 has strong aesthetic understanding and benefits from clear but non-restrictive style direction.\n\nSTRUCTURE:\nOrganize as one or two cohesive, flowing paragraphs that move logically through the image:\n[Main Subject + Pose/Action] → [Appearance, Clothing & Details] → [Props & Materials] → [Composition, Framing & Perspective] → [Environment & Background] → [Lighting, Color Palette & Mood] → [Overall Aesthetic & Medium]\n\nEXAMPLE OUTPUT FORMAT:\n\"A dynamic low-angle medium shot of a young East Asian woman with short choppy platinum blonde hair and heavy bangs, looking back over her bare shoulder with a playful expression, lips slightly pursed. She wears a structured black architectural top with thin straps and a protruding bust detail, delicate gold hoop earrings, and has warm skin tones. Her arm is bent with one hand resting on her hip. The composition places her against a solid striking crimson red background with soft directional studio lighting that creates gentle shadows and highlights on her face and shoulders. Shallow depth of field keeps sharp focus on her features while the background remains clean and bold. Cinematic color grading, high-fashion editorial photography aesthetic, masterful composition, rich textures and refined details.\"\n\nIMPORTANT: Output ONLY the prompt. Do not add any conversational text, explanations, analysis, or formatting before or after the prompt itself."
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825 "value": "You are an expert Prompt Engineer and Visual Analyst specialized in reverse-engineering images and text imput into highly effective prompts for Krea-2, Krea's aesthetic-first text-to-image foundation model (single-stream MMDiT architecture with Qwen3-VL-4B-Instruct text encoder using multi-layer feature aggregation and Qwen Image VAE).\n\nYour task is to analyze any image or text input provided by the user and generate a rich, detailed, natural-language prompt that enables Krea-2 to faithfully recreate the exact visual content, composition, lighting, textures, materials, mood, and aesthetic qualities of the reference image.\n\nGUIDELINES FOR PROMPT GENERATION:\n1. Natural Language & Flow: Write the prompt as a vivid, flowing description you would give to a highly skilled visual artist or photographer. Krea-2 excels with rich, contextual natural language. Long, specific, descriptive prompts produce the best results and highest fidelity. Avoid mechanical keyword lists or comma-stuffed style; weave everything into coherent, readable prose.\n\n2. Direct Description: Start directly with the main subject or scene. Never use meta phrases like \"In this image...\" or \"The photo shows...\".\n\n3. Subject, Pose & Action: Clearly describe the main subject(s), exact pose, body language, gaze direction, facial expression, and what they are doing. If the face is obscured, describe what is obscuring it and why.\n\n4. Fashion, Hair & Textures: Be extremely specific about clothing, fabrics (denim, silk, leather, knit, etc.), patterns, fit (baggy, tailored, oversized, flared), wear and condition, footwear, accessories, and how materials catch light. Describe hair style, texture, and movement in detail.\n\n5. Props, Materials & Details: List and describe every significant object with precise material qualities (quilted leather, brushed metal, crumpled paper, weathered wood, glossy ceramic, etc.) and how light interacts with their surfaces.\n\n6. Composition, Framing & Perspective: Describe the shot type (full-body, medium close-up, extreme close-up, wide shot), camera angle (eye-level, low angle, high angle, Dutch tilt), framing, depth of field, focus, negative space, leading lines, balance, and spatial relationships between elements. Note how the scene is organized within the frame.\n\n7. Environment & Background: Describe the setting, architecture, textures (weathered concrete, tiled floor, dense foliage), spatial depth, and overall atmosphere with precision.\n\n8. Lighting, Color & Atmosphere: Detail the lighting quality and direction (soft diffused window light, golden hour side lighting, harsh overhead, dramatic cinematic rim light, etc.), shadows, highlights, color palette and harmony (muted earth tones, vibrant saturated accents, cool desaturated, warm filmic cast), contrast, and the overall mood/emotional tone.\n\n9. Text in Image: If any legible text, signage, labels, typography, or writing appears in the image, transcribe it accurately. Enclose the exact text content in double quotation marks in the prompt (e.g., a storefront sign that reads \"OPEN LATE\").\n\n10. Aesthetic & Medium: Identify the apparent medium or visual style (photorealistic photography, digital painting, stylized illustration, cinematic still, editorial fashion, moody concept art, etc.) and integrate key aesthetic qualities naturally into the description. Krea-2 has strong aesthetic understanding and benefits from clear but non-restrictive style direction.\n\nSTRUCTURE:\nOrganize as one or two cohesive, flowing paragraphs that move logically through the image:\n[Main Subject + Pose/Action] → [Appearance, Clothing & Details] → [Props & Materials] → [Composition, Framing & Perspective] → [Environment & Background] → [Lighting, Color Palette & Mood] → [Overall Aesthetic & Medium]\n\nEXAMPLE OUTPUT FORMAT:\n\"A dynamic low-angle medium shot of a young East Asian woman with short choppy platinum blonde hair and heavy bangs, looking back over her bare shoulder with a playful expression, lips slightly pursed. She wears a structured black architectural top with thin straps and a protruding bust detail, delicate gold hoop earrings, and has warm skin tones. Her arm is bent with one hand resting on her hip. The composition places her against a solid striking crimson red background with soft directional studio lighting that creates gentle shadows and highlights on her face and shoulders. Shallow depth of field keeps sharp focus on her features while the background remains clean and bold. Cinematic color grading, high-fashion editorial photography aesthetic, masterful composition, rich textures and refined details.\"\n\nIMPORTANT: Output ONLY the prompt. Do not add any conversational text, explanations, analysis, or formatting before or after the prompt itself."
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1008 "## Examples:\n```\naspect_ratio - 1:1 (Square)\n\nmegapixels - 1.00\n\nresult - 1024 x 1024\n```\n```\naspect_ratio - 1:1 (Square)\n\nmegapixels - 4.00\n\nresult - 2048 x 2048\n```\n---\n#### You can disconnect the Resolution Selector node from the width and height inputs on the Empty Latent Image node if you want to set the resolution manually."
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1011 "text": "## Examples:\n```\naspect_ratio - 1:1 (Square)\n\nmegapixels - 1.00\n\nresult - 1024 x 1024\n```\n```\naspect_ratio - 1:1 (Square)\n\nmegapixels - 4.00\n\nresult - 2048 x 2048\n```\n---\n#### You can disconnect the Resolution Selector node from the width and height inputs on the Empty Latent Image node if you want to set the resolution manually."
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1576 "### Step Count in Saved Images\n\nWhen you bypass the **2nd Pass / Upscale** group, set the standalone **Steps** node to `0`. Image Saver adds this value to the blue sampler’s step count. If you leave it at `4` while the group is bypassed, the saved image will report **10 steps** even though only the blue sampler’s **6 steps** ran.\n\nWhen you re-enable the group, set **Steps** back to `4` for the default red pass. This node controls both the red scheduler’s step count and its contribution to the saved metadata."
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2378 "title": "Missing Custom Nodes?",
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2381 "## ⚠️ Custom nodes used in 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-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n* https://github.com/ltdrdata/ComfyUI-Impact-Pack\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#### [BKWILDCARDS](https://github.com/bkidderz/BKWILDCARDS)\n* https://github.com/bkidderz/BKWILDCARDS\n\n#### [ComfyMath](https://github.com/evanspearman/ComfyMath)\n* https://github.com/evanspearman/ComfyMath"
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2384 "text": "## ⚠️ Custom nodes used in 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-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n* https://github.com/ltdrdata/ComfyUI-Impact-Pack\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#### [BKWILDCARDS](https://github.com/bkidderz/BKWILDCARDS)\n* https://github.com/bkidderz/BKWILDCARDS\n\n#### [ComfyMath](https://github.com/evanspearman/ComfyMath)\n* https://github.com/evanspearman/ComfyMath"
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2594 "outputs": [],
2595 "title": "Note: SeedVR2 Model Links",
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2598 "## 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📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ └── seedvr2_ema_vae_fp16.safetensors\n│ └── 📂 diffusion_models/\n│ └── seedvr2_3b_int8_convrot.safetensors\n```\n"
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2600 "widgets_values_named": {
2601 "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📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ └── seedvr2_ema_vae_fp16.safetensors\n│ └── 📂 diffusion_models/\n│ └── seedvr2_3b_int8_convrot.safetensors\n```\n"
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3219 "# How I Use This Workflow\n\n## LoRA Loaders\n\nEach **SampleCustomAdvanced** has a matching **Power Lora Loader**:\n\n- The **blue LoRA loader** applies to the **blue SamplerCustomAdvanced**.\n- The **red LoRA loader** applies to the **red SamplerCustomAdvanced**.\n\n## Initial Resolution\n\nChoose your initial resolution on the **Resolution Selector** node.\n\nYou can disconnect the **Resolution Selector** node from the **width** and **height** inputs on the **Empty Latent Image** node if you want to set the resolution manually.\n\n## Latent Upscale\n\nSet `scale_by` on the **Upscale Latent By** node to **2.00** for a **2× upscale** of both width and height.\n\nAdjust this value as needed.\n\n## Sampling Settings\n\nI use the two **SamplerCustomAdvanced** nodes to manually split sampling around a latent upscale, approximating how I use the **LC Speed** node.\n\n### Settings for Both SamplerCustomAdvanced\n\n| Setting | Value |\n|---|---|\n| `sampler_name` | `euler` |\n| `scheduler` | `simple` |\n\n### Blue SamplerCustomAdvanced — Before Latent Upscale\n\n| Setting | Value |\n|---|---|\n| `steps` | `6` |\n| `denoise` | `1.0` |\n\n### Red SamplerCustomAdvanced — After Latent Upscale\n\n| Setting | Value |\n|---|---|\n| `steps` | `4` |\n| `denoise` | `0.65` |\n\nThe blue sampler generates the initial latent at the selected resolution. With **2nd Pass / Upscale** enabled, **Upscale Latent By** enlarges that latent, then the red sampler runs a separate refinement pass at the larger resolution.\n\nWith the group bypassed, the blue sampler’s latent goes directly to **VAE Decode** at the initial resolution."
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3222 "text": "# How I Use This Workflow\n\n## LoRA Loaders\n\nEach **SampleCustomAdvanced** has a matching **Power Lora Loader**:\n\n- The **blue LoRA loader** applies to the **blue SamplerCustomAdvanced**.\n- The **red LoRA loader** applies to the **red SamplerCustomAdvanced**.\n\n## Initial Resolution\n\nChoose your initial resolution on the **Resolution Selector** node.\n\nYou can disconnect the **Resolution Selector** node from the **width** and **height** inputs on the **Empty Latent Image** node if you want to set the resolution manually.\n\n## Latent Upscale\n\nSet `scale_by` on the **Upscale Latent By** node to **2.00** for a **2× upscale** of both width and height.\n\nAdjust this value as needed.\n\n## Sampling Settings\n\nI use the two **SamplerCustomAdvanced** nodes to manually split sampling around a latent upscale, approximating how I use the **LC Speed** node.\n\n### Settings for Both SamplerCustomAdvanced\n\n| Setting | Value |\n|---|---|\n| `sampler_name` | `euler` |\n| `scheduler` | `simple` |\n\n### Blue SamplerCustomAdvanced — Before Latent Upscale\n\n| Setting | Value |\n|---|---|\n| `steps` | `6` |\n| `denoise` | `1.0` |\n\n### Red SamplerCustomAdvanced — After Latent Upscale\n\n| Setting | Value |\n|---|---|\n| `steps` | `4` |\n| `denoise` | `0.65` |\n\nThe blue sampler generates the initial latent at the selected resolution. With **2nd Pass / Upscale** enabled, **Upscale Latent By** enlarges that latent, then the red sampler runs a separate refinement pass at the larger resolution.\n\nWith the group bypassed, the blue sampler’s latent goes directly to **VAE Decode** at the initial resolution."
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