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Introduction
Speed up Wan 2.1 video generation on Fedora 43 today. This guide uses stable-diffusion.cpp with full ROCm acceleration.
The AMD Instinct Mi60 powers this high performance setup. It features 32GB of VRAM and 24GB of RAM.
Software and Model Licenses
Visit https://github.com/leejet/stable-diffusion.cpp for the source code. This application uses the flexible MIT License for developers.
The Wan 2.1 1.3B model uses the Apache 2.0 license. Both licenses allow for personal and commercial video projects.
High Performance GPU Tweaks
The --diffusion-conv-direct flag increases your GPU efficiency. It bypasses slow layers to process video frames faster.
Using --cache-preset ultra keeps weights ready in VRAM. This prevents reloading data during the sampling process today.
The --vae-tiling option is vital for 832×480 resolution. It breaks frames into small blocks to save memory.
Your 24GB of system RAM supports the UMT5-XXL encoder. Quantizing to Q4_K_M makes this large model fit easily.
[PLACEHOLDER: COMBINED SCREENSHOTS GALLERY]
Optimized Command Line Usage
Use aria2c to download the large model files quickly. The multi-connection tool handles the GGUF files with ease.
Run the sd-cli with the --type q4_K parameter. This quantization maintains quality while boosting the generation speed.
The --cache-mode easycache setting reduces redundant math calculations. It reuses previous results to finish the video sooner.
Set --flow-shift 3.0 to improve the motion consistency. This ensures your lovely cat video looks smooth and natural.
Screenshot
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Take Your Skills Further
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Edward is a software engineer, web developer, and author dedicated to helping people achieve their personal and professional goals through actionable advice and real-world tools.