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fofr
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fofr
@fofrAI
Playing around with models at Google DeepMind
- I tried to see how Kling v1.6 would handle the trolley problem. But it just backed away slowly.
00:00 - 4o native image generation is the beginning. It's a seismic change in generative AI. Where is this all going? We won't need ipadapters, or controlnets, or loras, or comfy workflows, or face landmark models, or segmentation models, or niche task specific models. It'll be one
- If you give FLUX1.1 a prompt like "IMG_1018.CR2" you get back images that are so very hard to tell they're AI. The realism here is kicked up a notch.
- NO WAY. It did it. And, was that, actually funny? Prompt: > a man doing stand up comedy in a small venue tells a joke (include the joke in the dialogue)
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00:08> A man is running through a beautiful summer park at dawn, he is out of breath, he slows and stops, looks at the camera and says, while panting, "Run AI with an API. Use Replicate", then he carries on running. Then "Replicate" text fades into view at the end Seems like the - I asked Midjourney v5 to '/describe' some logos, to see how it would create prompts for them, and to see what it would create in response. Starbucks
- My first Veo 3 gen > a video with dialogue of two muffins while baking in an over, the first muffin says "I can't believe this Veo 3 thing can do dialogue now!", the second muffin says "AAAAH, a talking muffin!"
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