<h1 id="z-image-aio-collection">🚀 Z-Image AIO Collection</h1><h2 id="base-and-turbo-*-all-in-one-*-bilingual-text-*-qwen3-4b">⚡ Base &amp; Turbo • All-in-One • Bilingual Text • Qwen3-4B</h2><hr /><h1 id="important:-requires-comfyui-v0.11.0+">⚠️ IMPORTANT: Requires ComfyUI v0.11.0+</h1>📥 <a target="_blank" rel="ugc" href="https://github.com/Comfy-Org/ComfyUI">Download ComfyUI</a><hr /><h1 id="what-is-z-image-aio">✨ What is Z-Image AIO?</h1>Z-Image AIO is an All-in-One repackage of Alibaba Tongyi Lab's 6B parameter image generation models.Everything integrated:<ul><li>✅ VAE already built-in</li><li>✅ Qwen3-4B Text Encoder integrated</li><li>✅ Just download and generate!</li></ul><hr /><h1 id="available-versions">🎯 Available Versions</h1><hr /><h2 id="z-image-turbo-aio-(8-steps-*-cfg-1.0)">🔥 Z-Image-Turbo-AIO (8 Steps • CFG 1.0)</h2>Ultra-fast generation for production &amp; daily use<hr /><h3 id="nvfp4-aio-(7.8-gb)">⚫ NVFP4-AIO (7.8 GB) 🆕</h3><pre><code>🎯 ONLY for NVIDIA Blackwell GPUs (RTX 50xx)!
⚡ Maximum speed optimized
💾 Smallest file size
🚀 FP4 precision - blazing fast
</code></pre>Perfect for: RTX 5070, 5080, 5090 owners who want maximum speed<hr /><h3 id="fp8-aio-(10-gb)-recommended">🟡 FP8-AIO (10 GB) ⭐ RECOMMENDED</h3><pre><code>✅ Best balance of size &amp; quality
✅ Works on 8GB VRAM
✅ Fast downloads
✅ Ideal for most users
</code></pre>Perfect for: Daily use, testing, RTX 3060/4060/4070<hr /><h3 id="fp16-aio-(20-gb)">🔵 FP16-AIO (20 GB)</h3><pre><code>💾 Same file size as BF16
🔄 ComfyUI auto-casts to BF16 for compute
⚠️ Does NOT enable FP16 compute mode
📦 Alternative download option
</code></pre>Note: Z-Image does not support FP16 compute - activation values exceed FP16's max range, causing NaN/black images. Weights are cast to BF16 during inference regardless of file format.Perfect for: Alternative to BF16 download (identical inference behavior)<hr /><h3 id="bf16-aio-(20-gb)-recommended-for-full-precision">🌟 BF16-AIO (20 GB) ⭐ RECOMMENDED FOR FULL PRECISION</h3><pre><code>✅ BFloat16 full precision
✅ Absolute best quality
✅ Professional projects
✅ Also works on 8GB VRAM
</code></pre>Perfect for: Professional work, maximum quality<hr /><h2 id="z-image-base-aio-(28-50-steps-*-cfg-3-5)">🎨 Z-Image-Base-AIO (28-50 Steps • CFG 3-5)</h2>Full creative control for pros &amp; LoRA training<hr /><h3 id="fp8-aio-(10-gb)">🟡 FP8-AIO (10 GB)</h3><pre><code>✅ Efficient for daily use
✅ Full CFG control
✅ Negative prompts supported
✅ 8GB VRAM compatible
</code></pre>Perfect for: Daily work with full control<hr /><h3 id="fp16-aio-(20-gb)">🔵 FP16-AIO (20 GB)</h3><pre><code>💾 Same file size as BF16
🔄 ComfyUI auto-casts to BF16 for compute
⚠️ Does NOT enable FP16 compute mode
📦 Alternative download option
</code></pre>Note: See technical explanation in FAQ below.Perfect for: Alternative to BF16 download (identical inference behavior)<hr /><h3 id="bf16-aio-(20-gb)-recommended-for-full-precision">🌟 BF16-AIO (20 GB) ⭐ RECOMMENDED FOR FULL PRECISION</h3><pre><code>✅ Maximum quality
✅ Ideal for LoRA training
✅ Professional projects
✅ Highest precision
</code></pre>Perfect for: LoRA training, professional work<hr /><h1 id="turbo-vs-base-when-to-use">🆚 Turbo vs Base - When to Use?</h1><hr /><h2 id="use-turbo-when:">⚡ Use TURBO when:</h2><pre><code>⚡ Speed is priority → 8 steps = 3-10 seconds
📸 Production workflows → Consistent high quality
💾 Quick iterations → Rapid prototyping
🎯 Simple prompts → Less complex scenes
</code></pre><hr /><h2 id="use-base-when:">🎨 Use BASE when:</h2><pre><code>🎨 Creative exploration → Higher diversity
🔧 LoRA/ControlNet dev → Undistilled foundation
📝 Complex prompting → Full CFG control
🚫 Negative prompts needed → Remove unwanted elements
</code></pre><hr /><h1 id="recommended-settings">⚙️ Recommended Settings</h1><hr /><h2 id="turbo-settings-(incl.-nvfp4)">⚡ Turbo Settings (incl. NVFP4)</h2><pre><code>📊 Steps: 8
🎚️ CFG: 1.0 (don't change!)
🎲 Sampler: res_multistep OR euler_ancestral
📈 Scheduler: simple OR beta
📐 Resolution: 1920×1088 (recommended)
🚫 Negative Prompt: ❌ Not used!
</code></pre><hr /><h2 id="base-settings">🎨 Base Settings</h2><pre><code>📊 Steps: 28-50
🎚️ CFG: 3.0-5.0 (start with 4.0)
🎲 Sampler: euler ⭐ OR dpmpp_2m
📈 Scheduler: normal ⭐ OR karras
📐 Resolution: 512×512 to 2048×2048
🚫 Negative Prompt: ✅ Fully supported!
</code></pre><hr /><h1 id="quick-overview">📊 Quick Overview</h1><hr /><h2 id="turbo-versions">Turbo Versions</h2><pre><code>⚫ NVFP4 │ 7.8 GB │ RTX 50xx only │ Max Speed 🆕
🟡 FP8 │ 10 GB │ 8GB VRAM │ Recommended ⭐
🔵 FP16 │ 20 GB │ → BF16 compute │ See FAQ ⚠️
🌟 BF16 │ 20 GB │ 8GB VRAM │ Max Quality ⭐
</code></pre><hr /><h2 id="base-versions">Base Versions</h2><pre><code>🟡 FP8 │ 10 GB │ 8GB VRAM │ Efficient
🔵 FP16 │ 20 GB │ → BF16 compute │ See FAQ ⚠️
🌟 BF16 │ 20 GB │ 8GB VRAM │ LoRA Training ⭐
</code></pre><hr /><h1 id="prompting-guide">💡 Prompting Guide</h1><hr /><h2 id="good-example:">✅ Good Example:</h2><pre><code>Professional food photography of artisan breakfast plate. 
Golden poached eggs on sourdough toast, crispy bacon, fresh 
avocado slices. Morning sunlight creating warm glow. Shallow 
depth of field, magazine-quality presentation.
</code></pre><hr /><h2 id="bad-example:">❌ Bad Example:</h2><pre><code>breakfast, eggs, bacon, toast, food, morning, plate
</code></pre><hr /><h2 id="tips">📝 Tips</h2>DO:<ul><li>✅ Use natural language</li><li>✅ Be detailed (100-300 words)</li><li>✅ Describe lighting &amp; mood</li><li>✅ Specify camera angle</li><li>✅ English OR Chinese (or both!)</li></ul>DON'T:<ul><li>❌ Tag-style prompts (tag1, tag2, tag3)</li><li>❌ Very short prompts (under 50 words)</li><li>❌ Negative prompts with Turbo</li></ul><hr /><h1 id="bilingual-text-rendering">🌐 Bilingual Text Rendering</h1><hr /><h2 id="english:">English:</h2><pre><code>Neon sign reading "OPEN 24/7" in bright blue letters 
above entrance. Modern sans-serif font, glowing effect.
</code></pre><hr /><h2 id=":">中文:</h2><pre><code>Traditional tea house entrance with sign reading 
"古韵茶坊" in elegant gold Chinese calligraphy.
</code></pre><hr /><h2 id="both:">Both:</h2><pre><code>Modern cafe with bilingual sign. "Morning Brew" in 
white script above, "晨曦咖啡" in Chinese below.
</code></pre><hr /><h1 id="installation">📥 Installation</h1><hr /><h2 id="step-1:-download">Step 1: Download</h2>Choose your version based on:<ul><li>GPU: RTX 50xx → NVFP4 possible</li><li>VRAM: 8GB → FP8 recommended</li><li>Purpose: LoRA Training → Base BF16</li></ul><hr /><h2 id="step-2:-place-file">Step 2: Place File</h2><pre><code>ComfyUI/models/checkpoints/
└── Z-Image-Turbo-FP8-AIO.safetensors
</code></pre><hr /><h2 id="step-3:-load-and-generate">Step 3: Load &amp; Generate</h2><ol><li>Open ComfyUI (v0.11.0+!)</li><li>Use "Load Checkpoint" node</li><li>Select your AIO version</li><li>Generate!</li></ol>No separate VAE or Text Encoder needed!<hr /><h1 id="credits">🙏 Credits</h1><hr /><h2 id="original-model">Original Model</h2><pre><code>👨‍💻 Developer: Tongyi Lab (Alibaba Group)
🏗️ Architecture: Single-Stream DiT (6B parameters)
📜 License: Apache 2.0
</code></pre><hr /><h2 id="links">Links</h2>🔗 Z-Image Base: <a target="_blank" rel="ugc" href="https://huggingface.co/Tongyi-MAI/Z-Image">https://huggingface.co/Tongyi-MAI/Z-Image</a>🔗 Z-Image Turbo: <a target="_blank" rel="ugc" href="https://huggingface.co/Tongyi-MAI/Z-Image-Turbo">https://huggingface.co/Tongyi-MAI/Z-Image-Turbo</a>🧠 Text Encoder: <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen3-4B">https://huggingface.co/Qwen/Qwen3-4B</a><hr /><h1 id="version-history">📈 Version History</h1><hr /><h2 id="v2.2-fp16-clarification">v2.2 - FP16 Clarification</h2><pre><code>📝 Updated FP16 descriptions for technical accuracy
⚠️ Clarified: FP16 weights ≠ FP16 compute
🔄 FP16 files are cast to BF16 during inference
</code></pre><hr /><h2 id="v2.1-nvfp4-release">v2.1 - NVFP4 Release 🆕</h2><pre><code>➕ Z-Image-Turbo-NVFP4-AIO (7.8GB)
⚡ Optimized for NVIDIA Blackwell (RTX 50xx)
🚀 Maximum speed generation
</code></pre><hr /><h2 id="v2.0-base-aio-release">v2.0 - Base AIO Release</h2><pre><code>➕ Z-Image-Base-BF16-AIO
➕ Z-Image-Base-FP16-AIO
➕ Z-Image-Base-FP8-AIO
🔄 ComfyUI v0.11.0+ support
📝 Qwen3-4B Text Encoder
</code></pre><hr /><h2 id="v1.1-fp16-added">v1.1 - FP16 Added</h2><pre><code>➕ Z-Image-Turbo-FP16-AIO
🔧 Wider GPU compatibility
</code></pre><hr /><h2 id="v1.0-initial-release">v1.0 - Initial Release</h2><pre><code>✅ Z-Image-Turbo-FP8-AIO
✅ Z-Image-Turbo-BF16-AIO
✅ Integrated VAE + Text Encoder
</code></pre><hr /><h1 id="faq">❓ FAQ</h1><hr />Q: Which version should I choose?<pre><code>RTX 50xx + Speed → NVFP4 🆕
Most users → Turbo FP8 ⭐
Full precision → BF16 ⭐
LoRA Training → Base BF16
</code></pre><hr />Q: Turbo or Base?<pre><code>Fast &amp; simple → Turbo ⚡
Full control → Base 🎨
</code></pre><hr />Q: Will NVFP4 work on my RTX 4090?❌ No! NVFP4 is only for RTX 50xx (Blackwell architecture).Use FP8 instead for RTX 40xx and older.<hr />Q: Do I need separate VAE/Text Encoder?❌ No! Everything is already integrated.Just Load Checkpoint and go!<hr />Q: Works on 8GB VRAM?✅ Yes! All versions work on 8GB VRAM.(NVFP4 requires RTX 50xx regardless of VRAM)<hr /><h2 id="q:-what-about-fp16-for-older-gpus-(rtx-20003000)">⚠️ Q: What about FP16 for older GPUs (RTX 2000/3000)?</h2>Important technical clarification:Z-Image does NOT support FP16 compute type. Here's why:<pre><code>📊 Technical reason:
- FP16 max value: ~65,504
- BF16 max value: ~3.39e+38 (same as FP32)
- Z-Image's activation values exceed FP16's range
- Result: Overflow → NaN → Black images
</code></pre>What actually happens:<ul><li>ComfyUI automatically casts weights to BF16 for computation</li><li>You can see this in logs: "model weight dtype X, manual cast: torch.bfloat16"</li><li>"Weight dtype" (file format) ≠ "Compute dtype" (actual calculation)</li></ul>For RTX 20xx users (no native BF16):<ul><li>BF16 is emulated via FP32 = slower but works</li><li>There is no way to run Z-Image in true FP16 compute</li><li>FP8 with CPU offload may be a better option for limited VRAM</li></ul>TL;DR: FP16 and BF16 files behave identically during inference. Choose based on download preference, not GPU compatibility.<hr /><h1 id="get-started-now!">🚀 Get Started Now!</h1>Download → Load Checkpoint → Generate!Recommended versions:<ul><li>🟡 FP8 for most users (best size/quality balance)</li><li>🌟 BF16 for maximum quality</li><li>⚫ NVFP4 for RTX 50xx speed</li></ul>All versions work on 8GB VRAM<hr />Happy generating! 🎨

Z-Image-Turbo/Base-AIO

zImageTurboBaseAIO_zImageTurboFP8AIO.safetensors

Z-Image-Turbo-FP8-AIO

Z-Image-Turbo-NVFP4-AIO

Z-Image-Base-AIO-BF16

Z-Image-Base-AIO-FP16

Z-Image-Base-FP8

Z-Image-Turbo-FP16-AIO

Z-Image-Turbo-BF16-AIO

🚀 Z-Image-Turbo-AIO | 8-Step Photorealistic GenerationUltra-Fast • Bilingual Text Rendering • All-in-One • FP8 &amp; BF16✨ What is Z-Image-Turbo-AIO?Z-Image-Turbo-AIO is Alibaba Tongyi Lab's 6B parameter photorealistic image generator, optimized for lightning-fast 8-step generation. This All-in-One version includes integrated VAE and Text Encoder for maximum convenience.Available in two versions:<ul><li>🟡 FP8-AIO (10GB) - Efficient &amp; fast</li><li>🌟 BF16-AIO (20GB) - Maximum quality</li></ul>Key Features:<ul><li>⚡ 8-step generation - 10-40 seconds per image</li><li>📦 All-in-One - No separate downloads needed</li><li>📸 Photorealistic - Professional quality</li><li>📖 Bilingual - English &amp; Chinese text rendering</li><li>🎯 8GB VRAM - Works on RTX 4060</li><li>🌐 Uncensored - Apache 2.0 license</li></ul>🔄 Choose Your Version🟡 Z-Image-Turbo-FP8-AIO (10GB)Best for most users!Advantages:<ul><li>✅ Half the file size</li><li>✅ Faster downloads</li><li>✅ Excellent quality</li><li>✅ Perfect for 8GB VRAM</li><li>✅ Recommended for testing &amp; everyday use</li></ul>Use if:<ul><li>Testing the model</li><li>Storage space limited</li><li>Fast downloads needed</li><li>Everyday generation work</li></ul>🌟 Z-Image-Turbo-BF16-AIO (20GB)Maximum precision!Advantages:<ul><li>✅ BFloat16 maximum precision</li><li>✅ Absolute best quality</li><li>✅ Professional grade</li><li>✅ For critical work</li><li>✅ Still works on 8GB VRAM</li></ul>Use if:<ul><li>Professional/commercial work</li><li>Maximum quality needed</li><li>No storage concerns</li><li>Best of the best required</li></ul>🎯 Quick StartInstallation:<ol><li>Download your preferred version (FP8 or BF16)</li><li>Place in ComfyUI/models/checkpoints/</li><li>Load with "Load Checkpoint" node</li><li>Generate!</li></ol>Recommended Settings:<ul><li>Steps: 8</li><li>CFG: 1.0</li><li>Sampler: res_multistep</li><li>Scheduler: simple</li><li>Resolution: 1920×1088</li></ul>That's it! No separate VAE or Text Encoder needed!📊 Test ResultsAll tests on RTX 4060 (8GB VRAM) • FP8 • 1920×1088 • 8 steps • CFG 1.0 • res_multistep + simple🔬 Test 1: Urban Coffee Shop InteriorPrompt:Modern coffee shop interior with industrial design. Exposed brick walls, wooden beams on ceiling, pendant lights hanging above bar. Professional espresso machine on marble counter, barista preparing latte art. Customers sitting at wooden tables with laptops. Large windows showing city street outside. Warm afternoon lighting, cozy atmosphere. Photorealistic style, professional architectural photography, 8K detail. Time: 31.98sUse Case: Architectural interior photography, commercial spaces🔬 Test 2: Traditional Chinese ArchitecturePrompt:Beautiful traditional Chinese temple courtyard during golden hour. Red wooden pillars with intricate gold carvings, curved tile roofs with upturned eaves. Stone lion statues flanking entrance. Cherry blossoms in full bloom around courtyard. Red lanterns hanging from eaves. Soft sunset light casting warm glow. Ancient architecture, peaceful atmosphere. Professional travel photography, ultra-sharp detail, cinematic composition. Time: 33.59sUse Case: Travel photography, cultural heritage documentation🔬 Test 3: Gourmet Food PhotographyPrompt:Professional food photography of gourmet sushi platter on black slate plate. Assorted nigiri and maki rolls with fresh salmon, tuna, and avocado. Garnished with pickled ginger, wasabi, and microgreens. Chopsticks placed beside plate. Rustic wooden table surface. Soft natural window light from side creating subtle shadows. Shallow depth of field, appetizing presentation. Restaurant-quality styling, commercial food photography, magazine-worthy. Time: 32.16sUse Case: Food photography, restaurant menus, commercial advertising🔬 Test 4: Modern ArchitecturePrompt:Stunning contemporary architecture, white concrete building with curved organic shapes. Floor-to-ceiling glass windows reflecting blue sky and clouds. Minimalist modern design with clean geometric lines. Surrounded by landscaped gardens with native plants. Shot from low angle emphasizing height and drama. Bright daylight, high contrast shadows. Professional architectural photography, ultra-sharp focus, award-winning composition. Time: 31.99sUse Case: Architectural visualization, real estate marketing🔬 Test 5: Bilingual Signage (EN/CN)Prompt:Modern fusion restaurant exterior at evening time. Large illuminated sign above entrance reading "Dragon Kitchen" in elegant English script, with "龙厨" in traditional Chinese characters below. Both texts in matching warm golden glow. Contemporary storefront with glass facade, interior lights visible. Urban street setting with pedestrians. Bilingual text perfectly rendered, professional signage design. Evening photography, moody atmosphere, vibrant lighting. Time: 31.99sUse Case: Bilingual signage, multilingual marketing materials, storefronts💡 Prompting GuideNatural Language Works Best!Good Example:✅ A cozy bookstore with floor-to-ceiling wooden shelves filled with colorful books, comfortable reading nooks with cushions near large windows, warm pendant lighting, peaceful afternoon atmosphere, professional interior photography Bad Example:❌ bookstore, books, chairs, window, cozy, warm light, interior Bilingual Text RenderingEnglish Text:Neon sign reading "OPEN 24/7" in bright blue letters above entrance. Modern sans-serif font, glowing effect against brick wall. Chinese Text:Traditional tea house entrance with sign reading "古韵茶坊" in elegant gold Chinese calligraphy on red wooden board with ornate carved border. Both Languages:Modern cafe exterior with bilingual sign. "Morning Brew Coffee" in white elegant script above, "晨曦咖啡" in matching Chinese characters below. Both glowing warmly at dusk. Prompting Tips:Do:<ul><li>✅ Use natural language descriptions</li><li>✅ Be detailed (100-300 words optimal)</li><li>✅ Include lighting and mood</li><li>✅ Describe camera angle and style</li><li>✅ Add atmosphere and setting details</li><li>✅ Specify materials and colors</li><li>✅ Use English or Chinese (or both!)</li></ul>Don't:<ul><li>❌ Use tag-style prompts (tag1, tag2, tag3)</li><li>❌ Add negative prompts (not used)</li><li>❌ Write very short prompts (under 50 words)</li><li>❌ Include conflicting instructions</li></ul>🔧 Installation GuideStep 1: Download Your VersionOption 1: FP8-AIO (10GB)<ul><li>Download Z-Image-Turbo-FP8-AIO.safetensors</li><li>Recommended for most users</li><li>Excellent quality, efficient size</li></ul>Option 2: BF16-AIO (20GB)<ul><li>Download Z-Image-Turbo-BF16-AIO.safetensors</li><li>Maximum precision</li><li>Professional grade quality</li></ul>Step 2: Place FileComfyUI/models/checkpoints/ └── Z-Image-Turbo-FP8-AIO.safetensors (or BF16) Step 3: Load &amp; Generate<ol><li>Open ComfyUI</li><li>Use "Load Checkpoint" node</li><li>Select Z-Image-Turbo-AIO (FP8 or BF16)</li><li>Set: 8/9 steps, CFG 1.0, res_multistep, simple</li><li>Write detailed natural language prompt</li><li>Generate amazing results!</li></ol>No separate VAE or Text Encoder needed - it's all integrated!🙏 Credits &amp; LicenseOriginal Model:<ul><li>Developer: Tongyi Lab (Alibaba Group)</li><li>Architecture: Single-Stream Diffusion Transformer (6B parameters)</li><li>Algorithm: Decoupled-DMD + DMDR</li><li>License: Apache 2.0</li></ul>AIO Conversion:<ul><li>Format: Integrated VAE + Text Encoder</li><li>Versions: FP8 (efficient) + BF16 (maximum quality)</li><li>Purpose: Simplified deployment and usage</li></ul>Resources:<ul><li>HuggingFace: <a target="_blank" rel="ugc" href="https://huggingface.co/Tongyi-MAI/Z-Image-Turbo">https://huggingface.co/Tongyi-MAI/Z-Image-Turbo</a></li><li>GitHub: <a target="_blank" rel="ugc" href="https://github.com/Tongyi-MAI/Z-Image">https://github.com/Tongyi-MAI/Z-Image</a></li><li>ComfyUI Files: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/z_image_turbo">https://huggingface.co/Comfy-Org/z_image_turbo</a></li></ul>📈 Version Historyv1.0 - Initial AIO Release<ul><li>FP8-AIO version (10GB)</li><li>BF16-AIO version (20GB)</li><li>Integrated VAE + Text Encoder</li><li>Single-file deployment</li><li>Based on Tongyi-MAI/Z-Image-Turbo</li><li>Tested on RTX 4060 8GB</li><li>Optimized for 1920×1088</li></ul>Download, load with "Load Checkpoint", and generate professional photos in seconds! 🚀

Z-Image-Turbo-AIO-FP8

🚀 Z-Image-Turbo-AIO | 8-Step Photorealistic Generation
Ultra-Fast • Bilingual Text Rendering • All-in-One • FP8 & BF16

✨ What is Z-Image-Turbo-AIO?
Z-Image-Turbo-AIO is Alibaba Tongyi Lab's 6B parameter photorealistic image generator, optimized for lightning-fast 8-step generation. This All-in-One version includes integrated VAE and Text Encoder for maximum convenience.

Available in two versions:

🟡 FP8-AIO (10GB) - Efficient & fast

🌟 BF16-AIO (20GB) - Maximum quality

Key Features:

⚡ 8-step generation - 10-40 seconds per image

📦 All-in-One - No separate downloads needed

📸 Photorealistic - Professional quality

📖 Bilingual - English & Chinese text rendering

🎯 8GB VRAM - Works on RTX 4060

🌐 Uncensored - Apache 2.0 license

🔄 Choose Your Version
🟡 Z-Image-Turbo-FP8-AIO (10GB)
Best for most users!

Advantages:

✅ Half the file size

✅ Faster downloads

✅ Excellent quality

✅ Perfect for 8GB VRAM

✅ Recommended for testing & everyday use

Use if:

Testing the model

Storage space limited

Fast downloads needed

Everyday generation work

🌟 Z-Image-Turbo-BF16-AIO (20GB)
Maximum precision!

Advantages:

✅ BFloat16 maximum precision

✅ Absolute best quality

✅ Professional grade

✅ For critical work

✅ Still works on 8GB VRAM

Use if:

Professional/commercial work

Maximum quality needed

No storage concerns

Best of the best required

🎯 Quick Start
Installation:
Download your preferred version (FP8 or BF16)

Place in ComfyUI/models/checkpoints/

Load with "Load Checkpoint" node

Generate!

Recommended Settings:
Steps: 8

CFG: 1.0

Sampler: res_multistep

Scheduler: simple

Resolution: 1920×1088

That's it! No separate VAE or Text Encoder needed!

Download, load with "Load Checkpoint", and generate professional photos in seconds! 🚀

Files with SHA256: f569c42b6797a89e65e80c743d6dfd230ed9318237aa242c92777deb22fad660