Duration: 7:45

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In this video I'll be demoing Stable Diffusion running locally on an RX 6900 XT. The key to good iterations per second is high VRAM and lots of compute. ROCm provides an alternative to CUDA for ML workloads. This applies to training LLMs and various AI application use.

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Full A.I. Workstation Specs:

CPU: AMD Ryzen 7 7700X - https://amzn.to/3QBYsgK
Cooler: Noctua NH-D15 - https://amzn.to/3MXEjzh
Motherboard: Gigabyte X670 AORUS Elite AX - https://amzn.to/3DSG8Is
RAM: Corsair Vengeance DDR5 64GB 5200mhz - https://amzn.to/3DQ3WN8
GPU: AMD Radeon RX 6900 XT - https://amzn.to/3OO8TMJ
PSU: MEG Ai1300P PCIE5 PSU - https://amzn.to/43r6Wdx
Case: Fractal Torrent RGB - https://amzn.to/45rlGex

Newegg links:
CPU: Ryzen 7 7700X - https://newegg.io/nc6a24e1da
Cooler: Noctua NH-D15 - https://newegg.io/nc470263ec
Motherboard: Gigabyte X670 AORUS Elite AX - https://newegg.io/nc9befff05
RAM: Corsair Vengeance DDR5 64GB 5200mhz - https://newegg.io/nc7ed9a06b
GPU: XFX Speedster MERC 319 RX 6950 XT - https://newegg.io/nc4f224dfe
PSU: MSI MEG Ai1300P PCIE5 1300w - https://newegg.io/nc597addae
Case: Fractal Torrent RGB - https://newegg.io/nc145838b0

Timestamps:
0:00 - Intro
0:51 - How to use Stable Diffusion webui
6:03 - 20 Images in less than a minute
7:14 - Conclusion

#ROCm #amd #stablediffusion #radeon