FinetextPL/FinetextPL-Edu
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Marcel
kowalikmarcel
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new activity about 2 months ago
FinetextPL/FinetextPL-Edu:Dataset card updated a dataset about 2 months ago
FinetextPL/FinetextPL-Edu liked a dataset 3 months ago
HuggingFaceFW/finepdfs-eduOrganizations
Dataset card
#2 opened 2 months ago
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kowalikmarcel
updated a
dataset about 2 months ago
liked a
dataset 3 months ago
liked a
model 3 months ago
reacted to MonsterMMORPG's post with π€― 3 months ago
Post
1317
Qwen Image 2512 & 2511 Training Results Are Next Level + 33 ComfyUI Presets for Image & Video Gen
Full tutorial: https://www.youtube.com/watch?v=RcoXd9v1t_c
Qwen Image 2512 Text to Image model is a massive upgrade in quality just as Qwen Image Edit 2511 was for image editing tasks based on commands. I have trained both Qwen Image older Base, Qwen Image 2512 new base, Qwen Image 2509 older edit model and Qwen Image 2511 newer edit model and compared them in this video. The results are astonishing. Moreover, we have converted all of our premium SwarmUI image and video generation presets into ComfyUI workflows. Just drag and drop the workflow and start using immediately. All models are downloaded with our premium 1-click to use model downloader app. ComfyUI and SwarmUI are also installed with 1-click installers and our ComfyUI fully supports Sage Attention, Flash Attention, xFormers, Triton and more with RTX 5000 series and all GPUs like 3000, 2000, 4000 series, etc for both Linux and Windows.
π Resources & Links:
ComfyUI Installer: [ https://www.patreon.com/posts/ComfyUI-Installers-105023709 ]
SwarmUI Installer, Model Auto Downloader and Presets: [ https://www.patreon.com/posts/SwarmUI-Install-Download-Models-Presets-114517862 ]
SwarmUI & ComfyUI Setup Guide for Windows: [ https://youtu.be/c3gEoAyL2IE ]
SwarmUI & ComfyUI Setup Guide for RunPod & Massed Compute: [ https://youtu.be/bBxgtVD3ek4 ]
Qwen Image Models Training Tutorial: [ https://youtu.be/DPX3eBTuO_Y ]
Wan 2.2 Model Training Tutorial: [ https://youtu.be/ocEkhAsPOs4 ]
Z Image Turbo Model Training Tutorial: [ https://youtu.be/ezD6QO14kRc ]
FLUX Models Fine Tuning / DreamBooth Training Tutorial: [ https://youtu.be/FvpWy1x5etM ]
FLUX Models LoRA Training Tutorial: [ https://youtu.be/nySGu12Y05k ]
Upload / Download Big Files Guide for RunPod & Massed Compute: [ https://youtu.be/X5WVZ0NMaTg ]
Full tutorial: https://www.youtube.com/watch?v=RcoXd9v1t_c
Qwen Image 2512 Text to Image model is a massive upgrade in quality just as Qwen Image Edit 2511 was for image editing tasks based on commands. I have trained both Qwen Image older Base, Qwen Image 2512 new base, Qwen Image 2509 older edit model and Qwen Image 2511 newer edit model and compared them in this video. The results are astonishing. Moreover, we have converted all of our premium SwarmUI image and video generation presets into ComfyUI workflows. Just drag and drop the workflow and start using immediately. All models are downloaded with our premium 1-click to use model downloader app. ComfyUI and SwarmUI are also installed with 1-click installers and our ComfyUI fully supports Sage Attention, Flash Attention, xFormers, Triton and more with RTX 5000 series and all GPUs like 3000, 2000, 4000 series, etc for both Linux and Windows.
π Resources & Links:
ComfyUI Installer: [ https://www.patreon.com/posts/ComfyUI-Installers-105023709 ]
SwarmUI Installer, Model Auto Downloader and Presets: [ https://www.patreon.com/posts/SwarmUI-Install-Download-Models-Presets-114517862 ]
SwarmUI & ComfyUI Setup Guide for Windows: [ https://youtu.be/c3gEoAyL2IE ]
SwarmUI & ComfyUI Setup Guide for RunPod & Massed Compute: [ https://youtu.be/bBxgtVD3ek4 ]
Qwen Image Models Training Tutorial: [ https://youtu.be/DPX3eBTuO_Y ]
Wan 2.2 Model Training Tutorial: [ https://youtu.be/ocEkhAsPOs4 ]
Z Image Turbo Model Training Tutorial: [ https://youtu.be/ezD6QO14kRc ]
FLUX Models Fine Tuning / DreamBooth Training Tutorial: [ https://youtu.be/FvpWy1x5etM ]
FLUX Models LoRA Training Tutorial: [ https://youtu.be/nySGu12Y05k ]
Upload / Download Big Files Guide for RunPod & Massed Compute: [ https://youtu.be/X5WVZ0NMaTg ]
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published a
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