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    🎨 QWEN-Anime | Beta3-AIO

    ⚠️ Note: All versions are combined on this model card for convenience.


    🎨 VERSION 3 MAJOR UPDATE

    NEW FEATURES:

    - Image Editing functionality added (1-3 images)

    - Upgraded base: Qwen Image Edit 2511 (from 2509)

    - Faster generation: 4 steps minimum (down from 8)

    - Custom Qwen 2.5 VL 7B FP8 uncut for maximum creative freedom

    - Supports both Text-to-Image and Image-to-Image workflows

    - ???? capabilities: Partial ?????? and clothing removal possible

    - Results depend on seed, prompt, and input images

    - Tip: Load ???? image as second image for better results

    - FP8 only (other formats on request)

    From pure text generation to advanced image editing!

    🧠 Available Versions

    πŸ’Ž Anime Beta3 (All-in-One) - NEW! ⭐

    πŸŽ‰ No separate VAE/Text Encoder needed - just load and go!

    🟑 Pruned Model fp8 (26.99 GB) = 4-8 steps version, CFG 1.0 (optimized for speed)

    πŸ’Ž Beta2-AIO (All-in-One)

    πŸŽ‰ No separate VAE/Text Encoder needed - just load and go!

    🟒 Full Model fp8 (26.99 GB) = 20+ steps version, normal CFG (2.5-4.0)
    🟑 Pruned Model fp8 (26.99 GB) = 6-8 steps version, CFG 1.0 (optimized for speed)

    Key Features:

    • βœ… Integrated VAE + Text Encoder

    • βœ… Single file, plug-and-play

    • βœ… Use regular "Load Checkpoint" node

    • βœ… Same Beta2 quality, easier setup

    🧠 Beta2 (Safetensors & GGUF)

    Requires separate VAE + Text Encoder

    ⚠️ Note: Unfortunately, I had to use some tricks to make all versions fit on one model card.

    🧠 SafeTensor Versions

    πŸŸͺ BF16 = Pruned Model bf16 (38.05 GB)
    🟦 FP16 = Pruned Model fp16 (38.05 GB)
    🟨 FP8 = Pruned Model fp8 (19.03 GB)

    πŸ’Ύ GGUF Versions

    ⚠️ Requires ComfyUI-GGUF: https://github.com/city96/ComfyUI-GGUF

    πŸ”Ή F16 = Full Model fp16 (38.07 GB)
    πŸ”Ή Q8 = Full Model fp8 (20.23 GB)
    πŸ”Ή Q6_K = Full Model bf16 (15.63 GB)
    πŸ”Ή Q4_K_S = Full Model nf4 (10.72 GB)

    πŸ’‘ Quick Guide:

    • Safetensors (πŸŸͺ🟦🟨) β†’ Use regular "Load Diffusion Model" node

    • GGUF (πŸ”Ή) β†’ Needs ComfyUI-GGUF β†’ "GGUF Loader" node + unet/ folder

    πŸ“¦ Beta1 (Legacy)

    • FP16 only (38.05 GB)

    • Requires separate VAE + Text Encoder


    πŸ“ŠExample image editing, Beta3-AIO:

    Tested on Nvidia RTX 4060 with Euler sampler

    Prompt:

    Place the two figures in a fantasy medieval tavern, laughing and clinking two beer glasses.


    πŸ“Š Beta2-AIO Test Results

    Tested on Nvidia RTX 4060 with Euler A sampler

    🟒 Full Model fp8 (20+ Steps Version)

    Test 1: Elegant Shrine Maiden

    Resolution: 1024Γ—1024 | Steps: 24 | CFG: 3.6 | Time: ~176.48s

    Prompt:

    anime, masterpiece, best quality, 1girl, shrine maiden, long black hair, 
    red hakama, white kimono top, holding paper talisman, sacred shrine background, 
    cherry blossoms falling, soft sunlight, detailed face, serene expression, 
    traditional japanese architecture, torii gate in background, 
    cinematic lighting, depth of field
    

    Test 2: Cyberpunk Street Scene

    Resolution: 1536Γ—1024 | Steps: 28 | CFG: 4.0 | Time: ~229.52s

    Prompt:

    anime, 2k quality, ultra-detailed, 1girl, cyberpunk hacker, 
    neon-lit tokyo street, rain reflections, holographic advertisements, 
    purple and cyan color scheme, tech wear jacket, mechanical arm augmentation, 
    confident pose, sharp focus, cinematic composition, bokeh background, 
    night city atmosphere, detailed eyes
    

    Test 3: Fantasy Dragon Knight

    Resolution: 832Γ—1216 | Steps: 32 | CFG: 3.8 | Time: ~227.94s

    Prompt:

    anime, masterpiece, high detail, 1girl, dragon knight, 
    silver armor with blue accents, flowing cape, dragon companion beside her, 
    epic fantasy landscape, castle ruins background, dramatic sky, 
    wind effect on hair and cape, detailed armor patterns, 
    heroic pose, cinematic lighting, depth of field
    

    🟑 Pruned Model fp8 (6-8 Steps Version)

    Test 4: Cozy Cafe Moment

    Resolution: 1024Γ—1024 | Steps: 8 | CFG: 1.0 | Time: ~32.47s

    Prompt:

    anime, best quality, 1girl, casual outfit, sitting in cafe, 
    holding coffee cup, warm lighting, bokeh background, 
    soft smile, detailed eyes, cozy atmosphere, 
    window light, autumn colors, relaxed pose
    

    Test 5: Magical Girl Transformation

    Resolution: 512Γ—768 | Steps: 7 | CFG: 1.0 | Time: ~19.28s

    Prompt:

    anime, masterpiece, 1girl, magical girl, transformation pose, 
    sparkles and light effects, flowing hair, colorful costume, 
    magic circle background, dynamic composition, 
    vibrant colors, detailed ribbons, glowing effects
    

    Test 6: Beach Sunset Portrait

    Resolution: 1024Γ—1536 | Steps: 6 | CFG: 1.0 | Time: ~32.07s

    Prompt:

    anime, best quality, 1girl, summer dress, beach sunset, 
    golden hour lighting, ocean waves, soft wind effect on hair, 
    warm colors, peaceful expression, detailed face, 
    cinematic sunset, depth of field, romantic atmosphere
    

    🎯 Quick Settings Guide

    🟒 Full Model fp8 (Quality Mode):

    • Steps: 20-32

    • CFG: 2.5-4.0 (sweet spot: 3.6)

    • Sampler: Euler A, Euler Normal, Beta, Simple

    • Use for: High quality, detailed work, final renders

    🟑 Pruned Model fp8 (Speed Mode):

    • Steps: 6-8 (optimal: 8)

    • CFG: 1.0 (can go to 2.0 max, but stay at 1.0)

    • Sampler: Euler A recommended

    • Use for: Fast iterations, testing, quick generations

    Both Versions:

    • Resolution: 512Γ—512 to 2048Γ—1152

    • VRAM: 8GB+ recommended

    • Lightning LoRAs: Compatible (4-step or 8-step)


    πŸ”§ Installation Guide

    Beta2-AIO (Easiest!):

    1. Download your preferred version (Full or Pruned)

    2. Place in ComfyUI/models/checkpoints/

    3. Load with standard "Load Checkpoint" node

    4. Generate! No extra files needed!

    Beta2 (Safetensors):

    1. Download checkpoint β†’ diffusion_models/

    2. Download Text Encoder β†’ text_encoders/QWEN/

    3. Download VAE β†’ vae/QWEN/

    4. Use "Load Diffusion Model" node

    Beta2 (GGUF):

    1. Install ComfyUI-GGUF

    2. Download GGUF β†’ unet/

    3. Download Text Encoder + VAE (same as above)

    4. Use "GGUF Loader" node


    πŸ’‘ Which Version Should I Choose?

    Choose Beta2-AIO (Pruned) if:

    βœ… Want fastest generations (6-8 steps)
    βœ… Need quick iterations/testing
    βœ… Prefer simplicity (single file)
    βœ… 8GB+ VRAM available

    Choose Beta2-AIO (Full) if:

    βœ… Want maximum quality
    βœ… Need more control (CFG 2.5-4.0)
    βœ… Creating final/detailed work
    βœ… Prefer traditional workflow

    Choose Beta2 FP8 if:

    βœ… Want flexibility (separate VAE/encoder)
    βœ… Using custom VAE/encoders
    βœ… Need maximum compatibility

    Choose Beta2 GGUF if:

    βœ… Limited VRAM (6-8GB)
    βœ… Want smallest files (Q4 = 10GB)
    βœ… CPU inference needed

    Choose Beta1 if:

    βœ… Compatibility with old workflows
    βœ… Testing/comparison purposes


    πŸ“ Prompting Tips

    Quality Tags (All Versions):

    anime, masterpiece, best quality, ultra-detailed, 
    2k resolution, sharp focus, cinematic lighting
    

    Style Modifiers:

    MOE STYLE, official art, anime coloring, 
    detailed eyes, depth of field, bokeh
    

    Negative Prompt:

    low quality, blurry, bad ???????, bad hands, 
    text, watermark, mutation, distorted
    

    βš™οΈ Technical Specs

    Feature Beta2-AIO Beta2 Beta1 Setup Single file 4 files 4 files VAE Integrated Separate Separate Text Encoder Integrated Separate Separate File Size 20.5 GB 19-38 GB 38 GB Speed (8 steps) ⚑⚑⚑ ⚑⚑ ⚑ Quality Same as Beta2 Excellent Good Training Extended Extended Base


    πŸ”ž Content Notice

    Limited NSFW: ??????????????? (breasts/underboob) supported
    Not Supported: Full ???????? content
    Age: 18+ only, use responsibly


    ❓ FAQ

    Q: Which AIO version should I use?
    A: Pruned for speed (6-8 steps), Full for quality (20+ steps).

    Q: Can I use Lightning LoRAs with AIO?
    A: Yes! Both AIO versions support Lightning LoRAs.

    Q: Do I need separate VAE/encoder for AIO?
    A: No! AIO has everything integrated.

    Q: What's the difference between Full and Pruned AIO?
    A: Full = quality mode (CFG 2.5-4.0, 20+ steps). Pruned = speed mode (CFG 1.0, 6-8 steps).

    Q: Why does Pruned need CFG 1.0?
    A: It's optimized for low-step high-speed generation. CFG 1.0 works best.

    Q: Can I use CFG 3.0 with Pruned?
    A: Not recommended. Max is 2.0, but results are best at 1.0.

    Q: Is quality different between AIO and Beta2 FP8?
    A: No, same training - AIO just bundles files together.

    Q: Which has better quality: Full AIO or Beta2 BF16?
    A: Beta2 BF16 has slightly better precision, but difference is minimal.


    πŸ™ Credits

    Training: Custom dataset, Dual Tesla P40 GPUs
    Base: qwen-image-edit 2509
    Community: Thanks to all Beta1 & Beta2 testers!


    πŸš€ Download & Start Creating!

    1. Choose your version (AIO recommended for beginners)

    2. Download from files section

    3. Place in correct folder

    4. Load in ComfyUI

    5. Generate amazing anime art!


    Version: Beta1, Beta2, Beta2-AIO
    Release: November 2025
    License: Apache 2.0

    Created with ❀️ for the anime AI community

    Description

    πŸ“¦ Here's what each file contains:

    🧠 SafeTensor Versions:

    πŸŸͺ Pruned Model bf16 (38.05 GB) = BF16 version

    🟦 Pruned Model fp16 (38.05 GB) = FP16 version

    🟨 Pruned Model fp8 (19.03 GB) = FP8 version

    πŸ’Ύ GGUF Versions:

    (Requires ComfyUI-GGUF: https://github.com/city96/ComfyUI-GGUF)

    πŸ”Ή Full Model fp16 (38.07 GB) = F16 GGUF

    πŸ”Ή Full Model fp8 (20.23 GB) = Q8 GGUF

    πŸ”Ή Full Model bf16 (15.63 GB) = Q6_K GGUF

    πŸ”Ή Full Model nf4 (10.72 GB) = Q4_K_S GGUF

    FAQ

    Checkpoint
    Qwen-Image

    Details

    Downloads
    212
    Platform
    SeaArt
    Platform Status
    Available
    Created
    11/13/2025
    Updated
    12/27/2025
    Deleted
    -

    Files

    Available On (4 platforms)

    Same model published on other platforms. May have additional downloads or version variants.