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Fix Image Variation for Z Image Turbo
YouTube: https://youtu.be/zMAnWBytkZI Are you tired of Z Image Turbo generating the same faces, styles, and compositions over and over again? While the quality is great, the lack of variety is a huge downside. In this video, I explore different methods to fix this issue and share a custom workflow that finally solves the problem! We start by analyzing community solutions—including dual Ksampler setups and the SeedVarianceEnhancer node—and discuss why they often result in artifacts or unrelated elements. Then, I introduce my ultimate solution: combining the lightweight Flux Schnell model with Z Image Turbo. By using Flux Schnell for the initial generation and Z Image Turbo for an image-to-image repaint/upscale, we can achieve distinct faces, hairstyles, camera angles, and clothing while keeping high quality. I've attached the 2 workflows built by community members. If you want the workflow I built, please join our paid group and try it free: https://myaiforce.com/pg
Perfect Z Image Settings: Ranking 14 Samplers & 10 Schedulers
YouTube: https://youtu.be/e8aB0OIqsOc Stop getting generic outputs from the revolutionary Z Image model! Most creators are stuck with basic settings (like Euler sampler), missing out on its incredible detail and diversity. I tested 140+ combinations of samplers & schedulers across 560 high-res images to find the ultimate settings for stunning, unique results. RESOURCES: 📊 Full 560-image comparison dataset 📈 Evaluation spreadsheet Join Our Premium Community for Resources: https://myaiforce.com/pg
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Nano Banana Pro vs Flux 2 Pro – The ULTIMATE Text-to-Image & Editing Showdown
YouTube Tutorial: https://youtu.be/drmRF3_wMzo Flux 2 Pro vs Nano Banana Pro – which AI image model actually delivers better results? In this video, I put both closed-source giants through a direct, side-by-side comparison using the same prompts and the same ComfyUI API workflow. We’ll test them on: - Text-to-image (skin texture, face consistency, fabric&objects texture, poses) - Image editing (head swaps, multi-person consistency, clothing swaps) - 2K vs 4K outputs - Text on products & logo fidelity - Relighting and pose matching
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Giant 4K Head/Face Swaps: No Detail Loss with Qwen Edit!
YouTube: https://youtu.be/b8Glayf6ngY In this video, I show you how to swap a face or even an entire head from a headshot onto an existing portrait using ComfyUI. We walk through the process step by step, from cropping and masking the headshot to seamlessly pasting it onto a new body. I also explain how to maintain high image quality throughout the process and how to adjust for different lighting and angles. Face LoRA: https://modelscope.cn/models/DiffSynth-Studio/Qwen-Image-Edit-F2P/files If you want the advanced workflow, please join our paid group and try it free: https://myaiforce.com/pg
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Perfect Relighting with Qwen Image Edit (Realistic Shadows & Details Perserved)
YouTube: https://youtu.be/MhG4NByzB34 Level up your relighting in ComfyUI! In this video I show a custom workflow that beats the basic Qwen Edit setup—preserving details, preventing subject shifts, and adding realistic, angle-correct shadows. We’ll use Qwen Image Edit 2509 + Lightning LoRA (8-steps) + a Relighting LoRA, an Inpaint Crop (1024×1024) to lock composition, a two-pass inpaint → repaint for sharpness, and Frequency Detail Restore to bring back fine details. Works great for portraits and product shots. Relighting LoRA: https://huggingface.co/dx8152/Qwen-Image-Edit-2509-Relight/tree/main I have attached the basic workflow. If you want the advanced workflow, please join our paid group and try it free: https://myaiforce.com/pg
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