Kohya brought massive improvements to FLUX LoRA (as low as 4 GB GPUs) and DreamBooth / Fine-Tuning (as low as 6 GB GPUs) training
Kohya FLUX Fine Tuning (Full Checkpoints) Training Full Tutorial For Local Windows and Cloud RunPod and Massed Compute
1-Click Windows, RunPod, Massed Compute and Kaggle Installers For SDXL Background Replacement for Product Images - Make Amazing Product Ads For Shopify
EasyAnimate 1-Click Install Windows, RunPod and Massed Compuıte, Newest SOTA Local Open Source Image-to-Video, Text-to-Video and More
Free Kaggle Account Notebook for SwarmUI with FLUX, SD 1.5, SDXL & Stable Diffusion 3.5 Large and Dual T4 GPU support
Genmo Mochi 1 — SOTA Video Generation Model — Full Tutorial With SwarmUI — Locally Generate Amazing AI Videos for Free
A Kaggle Notebook to Train Stable Diffusion 1.5 and XL (SDXL) on a Free Kaggle Account with 2x Dual T4 GPU for free by using Kohya GUI
SwarmUI Easy Ultra Fast and Robust Unified Downloader for Stable Diffusion 3.5, FLUX, Mochi 1, SDXL and SD 1.5
Hunyuan3D-1 - SOTA Open Source Text-to-3D and Image-to-3D - 1-Click Install and use both Locally on Windows and on Cloud - RunPod and Massed Compute
1-Click Automatic Installers for Hunyuan3D-1 Text to 3D and Image to 3D SOTA Model, Install on Windows, RunPod and Massed Compute
How to Convert Your Trained FLUX, Stable Diffusion 3.5, SDXL and Other LoRAs Into FP8 and FP16 to Save Huge Space With Kohya GUI
Ultimate Batch Image Pre-Processing Gradio APP for Windows and Cloud (RunPod , Massed Compute) With Yolo Models - 1-Click To Install And Use
Example Training Images Dataset, Trained Models, Grids and Full Training Configs, json files and more
OmniGen 1-Click Automatic Installers for Windows, RunPod and Massed Compute - OmniGen is a unified image generation model that can generate a wide range of images from multi-modal prompts. It is designed to be simple, flexible, and easy to use.
Perfect Quality Example Model Training Images Dataset - Can Be Used On FLUX, Stable Diffusion 3.5, 3, SDXL, SD 1.5 and Such
FLUX De-Distilled and Anti-Bleeding Fine-Tuning / DreamBooth & LoRA Training Experiments - Also Testing CFG Impact for Stylized Images
Most Advanced 1-Click DeepFake / FaceSwap App Rope, Rope Live and Rope NEXT Installers for Windows and Massed Compute and Linux
1-Click Installers and Upgraded APP for LivePortrait - Blazing Fast Static Image or Video to Video to Talking and Moving Animation
SwarmUI Master Tutorial - Use Stable Diffusion 3.5 Large and FLUX model with Amazing Performance and more
62 Prompts tested on all experiments (fully public - open access - visit OLDEST COMMENT - all raw Grids shared) to find best Sampler + Scheduler for Stable Diffusion 3.5 Large - SD 3.5 Large FP16 vs Scaled FP8 compared - T5 XXL FP8 vs Scaled FP8 vs FP16 compared - FLUX FP16 vs Scaled FP8 compared
How To Convert 24 GB FP16 Fine Tuning / DreamBooth FLUX Checkpoints into 12 GB FP8 Checkpoints Tutorial
Huge FLUX LoRA vs Fine Tuning / DreamBooth Experiments Completed, Moreover Batch Size 1 vs 7 Fully Tested as Well, Not Only for Realism But Also for Stylization
Huge news for Kohya GUI - Now you can fully Fine Tune / DreamBooth FLUX Dev with as low as 6 GB GPUs without any quality loss compared to 48 GB GPUs - Moreover, Fine Tuning yields better results than any LoRA training could
FaceFusion V3 (Most Advanced 1-Click DeepFake) 1-Click Installers for Windows, RunPod and Massed Compute - Use locally and cloud
ComfyUI, FaceID, IP-Adapter, InsightFace Automatic Installers for Windows, RunPod, Massed Compute, Linux
SOTA Image Captioning Scripts For Stable Diffusion: CogVLM, LLaVA, BLIP-2, Clip-Interrogator (115 Clip Vision Models + 5 Caption Models)
1-Click CogVideoX-5b Image to Video Installers For Windows, RunPod, Massed Compute - SOTA Open Source Model
Detailed Comparison of JoyCaption Alpha One vs JoyCaption Pre-Alpha - 10 Different Style Amazing Images - I think JoyCaption Alpha One is the very best image captioning model at the moment for model training - Works very fast and requires as low as 8.5 GB VRAM
JoyCaption : Amazing Image Captioner - Batch Processing and Multi-GPU - Windows, RunPod, Massed Compute 1-Click Installers
Multi-GPU FLUX Full Fine Tuning Experiments and Requirements on RunPod and Conclusions - Used 2x A100 - 80 GB GPUs
Single Block / Layer FLUX LoRA Training Research Results and LoRA Network Alpha Change Impact With LoRA Network Rank Dimension
Image Captioning Editor Gradio APP - Edit Your Captions Super Easy Including Batch Editing - For Windows, RunPod and Massed Compute
How to Extract LoRA from FLUX Fine Tuning / DreamBooth Training Full Tutorial and Comparison Between Fine Tuning vs Extraction vs LoRA Training
Full Fine Tuning / DreamBooth of FLUX yields way better results than LoRA training as expected, overfitting and bleeding reduced a lot, check oldest comment for more information, images LoRA vs Fine Tuned full checkpoint
SECourses 3D Render for FLUX LoRA Model Published on CivitAI - Style Consistency Achieved - Full Workflow Shared on Hugging Face With Results of Experiments - Last Image Is Used Dataset