Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 23.0 seconds
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: (black full pantyhose:1), ((from behind, cowboy shot, ass focus, ass, bent over:1.2)), full body, (medieval, indoor, demon palace), royal, majestic view, (demonic atmosphere:1.2, demonic aura:1.2), 1girl, beautiful, sexy, atractive, mature woman, (demon queen), shiny skin, (huge breast:1.2, sagging breast, curvy:1.2), very long hair, scarlet red hair, crimson red eyes, glowing eyes, detailed face, detailed eyes, (red lips), slihtly make up, (crimson red dress), one piece dress, eleborate dress, red heels, standing, (arrogant:1.2, devilish smile:1.2), (master piece, best quality, 8K, UHD, extreme detailed description, professional, studio lighting, sharp focus, cinematic lighting, highres, ultra detailed 8K CG, perfect lighting, exremely detailed background, eleborate atmosphere:0.75, fantastical colors, vivid colors, soft HDR), <lora:FaceBeauty_qinglong_V3:1>, <lora:<lora:add_detail:0.7>
Full negative prompt: ((cross-eyed)), (worst quality: 2), (low quality: 2), (normal quality: 2), lowres, bad anatomy, nsfw, EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)),
activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f52313bed40>, <modules.extra_networks.ExtraNetworkParams object at 0x7f52313befb0>]: ValueError
Traceback (most recent call last):
File "/tungsten/modules/extra_networks.py", line 105, in activate
extra_network.activate(p, extra_network_args)
File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate
te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0
ValueError: could not convert string to float: 'add_detail'
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
done in 0.01s
Finished.
This example was created by evevalentine2017
Finished in 23.0 seconds
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: (black full pantyhose:1), ((from behind, cowboy shot, ass focus, ass, bent over:1.2)), full body, (medieval, indoor, demon palace), royal, majestic view, (demonic atmosphere:1.2, demonic aura:1.2), 1girl, beautiful, sexy, atractive, mature woman, (demon queen), shiny skin, (huge breast:1.2, sagging breast, curvy:1.2), very long hair, scarlet red hair, crimson red eyes, glowing eyes, detailed face, detailed eyes, (red lips), slihtly make up, (crimson red dress), one piece dress, eleborate dress, red heels, standing, (arrogant:1.2, devilish smile:1.2), (master piece, best quality, 8K, UHD, extreme detailed description, professional, studio lighting, sharp focus, cinematic lighting, highres, ultra detailed 8K CG, perfect lighting, exremely detailed background, eleborate atmosphere:0.75, fantastical colors, vivid colors, soft HDR), <lora:FaceBeauty_qinglong_V3:1>, <lora:<lora:add_detail:0.7>
Full negative prompt: ((cross-eyed)), (worst quality: 2), (low quality: 2), (normal quality: 2), lowres, bad anatomy, nsfw, EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)),
activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f52313bed40>, <modules.extra_networks.ExtraNetworkParams object at 0x7f52313befb0>]: ValueError
Traceback (most recent call last):
File "/tungsten/modules/extra_networks.py", line 105, in activate
extra_network.activate(p, extra_network_args)
File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate
te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0
ValueError: could not convert string to float: 'add_detail'
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
done in 0.01s
Finished.