from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("latentcat/control_v1u_sd15_illumination")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5", controlnet=controlnet
)controlnet- ioclab/control_v1u_sd15_illumination
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images in the following.
prompt: a woman sitting at a piano in a dark room with a window behind her and a window behind her, Atey Ghailan, anime art, a painting, neo-romanticism
prompt: a woman with horns and a demon face on her head, with her hands on her face, in front of a demon like background, Ayami Kojima, anime art, a manga drawing, space art
prompt: A girl with her head down, Sailor Moon
prompt: (masterpiece, best quality: 1.4), 1girl,detailed background, white crystal, crysal cluster,long hair,jewelry, earrings, necklace, crown, bride, white hair, halo,
prompt: (masterpiece, best quality: 1.4), 1girl,detailed background, white crystal, crysal cluster,long hair,jewelry, earrings, necklace, crown, bride, white hair, halo,
prompt: (masterpiece, best quality: 1.4), 1girl,detailed background, white crystal, crysal cluster,long hair,jewelry, earrings, necklace, crown, bride, white hair, halo,
prompt: (masterpiece, best quality: 1.4), 1girl,detailed background, white crystal, crysal cluster,long hair,jewelry, earrings, necklace, crown, bride, white hair, halo,
prompt: (masterpiece, best quality: 1.4), 1girl,detailed background, white crystal, crysal cluster,long hair,jewelry, earrings, necklace, crown, bride, white hair, halo,
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Model tree for latentcat/control_v1u_sd15_illumination
Base model
runwayml/stable-diffusion-v1-5