A user running Stable Diffusion locally for commercial ad and video work is questioning the value of their expensive GPU setup. They find the quality gap between local open-source models and commercial alternatives like Kling and Seedance to be significant, often rendering their local output unusable for client deliverables. The user is also frustrated by the time spent troubleshooting technical issues rather than creative work, leading them to consider selling their GPU and relying on commercial API credits for higher quality and reliability. AI
IMPACT Highlights the ongoing trade-offs between local control and commercial quality/reliability in AI content generation.
RANK_REASON User opinion piece discussing the practicalities of local vs commercial AI models.
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