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MonsterMMORPG
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Check out my youtube page SECourses for Stable Diffusion tutorials. They will help you tremendously in every topic
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It is now possible to generate 16 Megapixel (4096x4096) raw images with SANA 4K model using under 8GB VRAM, 4 Megapixel (2048x2048) images using under 6GB VRAM, and 1 Megapixel (1024x1024) images using under 4GB VRAM thanks to new optimizations 13 January 2024 Update Installers : https://www.patreon.com/posts/from-nvidia-labs-116474081 New 4K Tutorial Video : https://youtu.be/GjENQfHF4W8 Now the APP will use Diffusers Pipeline and it has huge VRAM optimizations You need to reinstall The models will be downloaded into your Hugging Face cache folder when you first time generate something How to Get Installation Logs and How to Change Hugging Face Cache Folder : https://www.patreon.com/posts/108419878 Please make a fresh install When you enable all 4 optimizations the VRAM usages are like below Make sure shared VRAM is enabled because initial loading of the model need more VRAM Enable VAE Tiling + Enable VAE Slicing + Enable Model CPU Offload + Enable Sequential CPU Offload 1K (1024x1024) : 4 GB GPUs 2K (2048x2048) : 6 GB GPUs 4K (4096x4096) : 8 GB GPUs Still in any case may work on your GPU test it Just Enable VAE Tiling + Enable Model CPU Offload works great in many cases All below attached images are generated via SANA 4K model, they are RAW and their resolution is 5376x3072 Official repo page : https://github.com/NVlabs/Sana
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Famous IC-Light - Relight Images - Advanced Gradio APP with Windows, RunPod, Massed Compute and Free Kaggle Account Installers Published Installers are shared here : https://www.patreon.com/posts/famous-ic-light-119566071 1-Click to install and use on Windows, RunPod, Massed Compute and a free Kaggle account notebook All working perfect with more advanced Gradio app than what was officially published on official repo : https://github.com/lllyasviel/IC-Light Moreover, Started another experimental product training for a client. Doing FLUX Dreambooth / Finetuning via Kohya SS GUI. GPU is L40S and batch size is 7. Config name : Batch_Size_7_48GB_GPU_46250MB_29.1_second_it_Tier_1.json Full workflow, step by step tutorial and configs : https://youtu.be/FvpWy1x5etM Check out the attached images in full resolution fore more info
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