<h1 id="***-if-you-love-it-like-it!-***-faucmjwys">👍 *** If you love it, like it! ***👍</h1>workflow: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1088678">https://civarchive.com/models/1088678</a><h1 id="carly-pope-gpg7vjihp">👑 Carly Pope 🎬</h1>About my celebrities loras 90% of the dataset used to build my loras only use head images. That really help the blend with other lora or model as there is no hands, feet, that may or will interfere in the final image render. When you get distorted hands with a person lora, it's because there is info on hands in the dataset used to train the lora, but that will not happen with my loras.V1:This version use some low quality dataset image and may produce bad result. But I've seen good thing getting out of it.V2:Removed the low quality images from the dataset, and it produce slightly better images.I've trained on Flux.1 Dev so other merged or trained checkpoint may not work well with my loras.The drawback side of that is that the body may not be reflecting the reality. It may not be a drawback tho.This is a lora for Flux.1 Dev. Work with other model but you must drop some simple bloc (good start 19-32).Trained with ai-toolkit, so merging it is not easy.To get the best resultGuidance: 2.2-3Steps (dev): 30-40daemon detailer (lying sigma sampler): factor: -0.02, start 0.06, end 0.75Resolution: Upscale the latent by 1.25 or 1.5 you'll get awsome result. (take longer time but worth it)Trigger word is (may work better in certain context): ohwxEnjoy!

👑 Carly Pope (Flux) 🎬

V2, reduced dataset image count to keep only good quality images, produce a slightly better images

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