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Full tutorial and fix of max allowed resolution for SDXL models #123

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4993128
Added full tutorial to the ReadMe
FurkanGozukara Oct 25, 2023
ebab95e
Update models.py
FurkanGozukara Dec 12, 2023
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8 changes: 7 additions & 1 deletion README.md
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Expand Up @@ -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.
Expand Down Expand Up @@ -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.
We always recommend keeping the driver up-to-date for system wide performance improvments.
2 changes: 1 addition & 1 deletion models.py
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Expand Up @@ -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

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