
Just use his name, "Henry Cavill", as part of your prompt. I also experimented by adding a couple of characters he portrayed to the LoRA, try "Henry Cavill in a textured blue and red Superman costume from DC Comics" or "Superman suit from DC Comics" as well as "Henry Cavill as Geralt of Rivia from The Witcher". No guarantees though.
I prefer .8 strength but it's tough to test locally since I use the nf4 quantized version of Flux with Forge (I have a puny 8GB VRAM card, that's not changing anytime soon). If you have questions, let me know. Otherwise, help me learn.
Training Details:
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72 images, 20 repeats, 10 epochs
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Natural language captioning beginning with "a photograph of Josh Hutcherson"
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1024 resolution with aspect ratio bucketing with a batch size of 4
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16 network dim, 16 alpha
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LR of 0.0005
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Constant with warmup
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The cost was 2k buzz and some change using CivitAI's LoRA trainer
I'm not certain warmup worked tbh So this may be constant scheduler. I also doubt these are the best settings and I'll tinker with it in the future.
描述:
训练词语: Henry Cavill
名称: Henry Cavill v1.safetensors
大小 (KB): 149676
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success