From 49931280bf8e288e4dea1cafa394debbc1b20708 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Furkan=20G=C3=B6z=C3=BCkara?= Date: Wed, 25 Oct 2023 03:49:36 +0300 Subject: [PATCH 1/2] Added full tutorial to the ReadMe it is 40 minutes fully chaptered and have manually written 100% accurate subtitles I tried to cover as many as cases thank you https://www.youtube.com/watch?v=kvxX6NrPtEk --- README.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 4f3f0b8..f71185a 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,12 @@ Example instructions for Automatic1111: 3. Copy the link to this repository and paste it into URL for extension's git repository 4. Click Install +### Full Tutorial + +[**Double Your Stable Diffusion Inference Speed with RTX Acceleration TensorRT: A Comprehensive Guide**](https://youtu.be/kvxX6NrPtEk) + +[![image](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/QhVEeR5hzqZ5SXujvTxzs.png)](https://youtu.be/kvxX6NrPtEk) + ## How to use 1. Click on the “Generate Default Engines” button. This step takes 2-10 minutes depending on your GPU. You can generate engines for other combinations. @@ -55,4 +61,4 @@ Having two seperate engines will heavily impact performance at the moment. Stay - Linux: >= 450.80.02 - Windows: >=452.39 -We always recommend keeping the driver up-to-date for system wide performance improvments. \ No newline at end of file +We always recommend keeping the driver up-to-date for system wide performance improvments. From ebab95e75d646eec9b4d0257c4b89401790cff6a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Furkan=20G=C3=B6z=C3=BCkara?= Date: Tue, 12 Dec 2023 22:09:12 +0300 Subject: [PATCH 2/2] Update models.py --- models.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/models.py b/models.py index 1355c2b..e4e8ef3 100644 --- a/models.py +++ b/models.py @@ -214,7 +214,7 @@ def __init__( self.min_batch = 1 self.max_batch = max_batch_size self.min_image_shape = 256 # min image resolution: 256x256 - self.max_image_shape = 768 if version in ("1.4", "1.5") else 1024 + self.max_image_shape = 768 if version in ("1.4", "1.5") else 2048 self.min_latent_shape = self.min_image_shape // 8 self.max_latent_shape = self.max_image_shape // 8