Hi Author,
Thanks for sharing your excellent work.
I have run inference successfully and got awesome results.
But I see some unusual hyper-parameters such as seed and prompts in the config yaml file:
"b&w photo of 42 y.o man in black clothes, bald, face, half body, body, high detailed skin, skin pores, coastline, overcast weather, wind, waves, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3"
"close up photo of a rabbit, forest, haze, halation, bloom, dramatic atmosphere, centred, rule of thirds, 200mm 1.4f macro shot"
"photo of coastline, rocks, storm weather, wind, waves, lightning, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3"
"night, b&w photo of old house, post apocalypse, forest, storm weather, wind, rocks, 8k uhd, dslr, soft lighting, high quality, film grain"
Would you explain a little bit about how to get them?
Hi Author, Thanks for sharing your excellent work. I have run inference successfully and got awesome results. But I see some unusual hyper-parameters such as seed and prompts in the config yaml file:
seed: [5658137986800322009, 12099779162349365895, 10499524853910852697, 16768009035333711932]
prompt:
Would you explain a little bit about how to get them?