@everyone Qwen Image 2511 is truly a massive upgrade compared to 2509. Full step by step how to use tutorial published and i have compared as well https://youtu.be/YfuQuOk2sB0 If you can upvote, leave a comment I appreciate that: https://www.reddit.com/r/comfyui/comments/1pv9snm/qwen_image_edit_2511_is_a_massive_upgrade/
Furkan Gözükara SECourses · 2d ago
@everyone After doing massive research our Wan 2.2 LoRA training tutorial is ready and published thankfully https://youtu.be/ocEkhAsPOs4 If you can upvote, leave a comment I appreciate that: https://www.reddit.com/r/comfyui/comments/1pscwvr/wan_22_complete_training_tutorial_text_to_image/
Furkan Gözükara SECourses · 6d ago
@everyone After doing massive research our Z Image Turbo LoRA training tutorial is ready and published thankfully https://youtu.be/ezD6QO14kRc If you can upvote, leave a comment I appreciate that: https://www.reddit.com/r/comfyui/comments/1pedr0v/zimage_turbo_lora_training_with_ostris_ai_toolkit/
Furkan Gözükara SECourses · 4w ago
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FFFDDFDA6000 only, as I've now used an L40S due to the available capacity) That said, I'm not complaining, the prices appear for now to be quite reasonable for what they are. I'm certain the unit economics may improve with more MAUs.DJoyCaption: ImportError: tokenizers>=0.21,<0.22 is required for a normal functioning of this module, but found tokenizers==0.15.2.Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git mainFFDFFDFDSUPIR_V56.zipFFDDImportError: tokenizers>=0.21,<0.22 is required for a normal functioning of this module, but found tokenizers==0.15.2.Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git mainDSUPIR_V56.zipSUPIRA6000L40SJoyCaptionImportError: tokenizers>=0.21,<0.22 is required for a normal functioning of this module, but found tokenizers==0.15.2.ImportError: tokenizers>=0.21,<0.22 is required for a normal functioning of this module, but found tokenizers==0.15.2.Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git mainTry: pip install transformers -U or pip install -e '.[dev]' if you're working with git mainSUPIR_V56.zipSUPIR_V56.zip
SEC(Software Engineering Courses (SECourses) / qwen-flux-wan-suchSEC(Software Engineering Courses (SECourses) / qwen-flux-wan-suchSEC(Software Engineering Courses (SECourses) / dreambooth-training