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Gorgeous Asian Model with Absolute Reality
absolute-reality:v1.81
evevalentine2017
evevalentine2017
·
12/10/2023
374
Input
prompt
Specify things to see in the output
Fashion magazine cover photo of a young asian female, kpop BLACKPINK, model with jet black hair, bold red lipstick, detailed skin, leather jacket, posing confidently with hand on hip, upper body shot, studio backdrop, (bright fill lighting:1.4) from the front balancing out shadows, straight on angle, very shallow DOF, in an edgy style, (film grain), <lora:polyhedron_skinny_all:0.6>
negative_prompt
Specify things to not see in the output
BadDream, (UnrealisticDream:1.3), nipples
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.3
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
5775695
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
 
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
 
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
 
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
9
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
polyhedron_new_skin_v1.1.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
 
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
 
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
BadDream.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
 
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
 
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/30493a06878c49759d6639fd84e56869/00000-5775695.png
https://files.tungsten.run/uploads/d9f561f1d9e14106929056d19b1b9370/00001-5775696.png
https://files.tungsten.run/uploads/1c6357bebcc947858467da007bb3f007/00002-5775697.png
https://files.tungsten.run/uploads/d3f41597846a41d3ad58020d646a5c8d/00003-5775698.png
Finished in 130.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: Fashion magazine cover photo of a young asian female, kpop BLACKPINK, model with jet black hair, bold red lipstick, detailed skin, leather jacket, posing confidently with hand on hip, upper body shot, studio backdrop, (bright fill lighting:1.4) from the front balancing out shadows, straight on angle, very shallow DOF, in an edgy style, (film grain), <lora:polyhedron_skinny_all:0.6>, (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), (ultra detailed:1.5), <lora:add_detail:0.3> Full negative prompt: BadDream, (UnrealisticDream:1.3), nipples Couldn't find network with name polyhedron_skinny_all 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:51, 1.78s/it] 7%|▋ | 2/30 [00:03<00:48, 1.74s/it] 10%|█ | 3/30 [00:05<00:46, 1.74s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.77s/it] 17%|█▋ | 5/30 [00:08<00:45, 1.82s/it] 20%|██ | 6/30 [00:10<00:43, 1.83s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.81s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.79s/it] 30%|███ | 9/30 [00:16<00:37, 1.81s/it] 33%|███▎ | 10/30 [00:17<00:36, 1.81s/it] 37%|███▋ | 11/30 [00:19<00:34, 1.79s/it] 40%|████ | 12/30 [00:21<00:31, 1.77s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.77s/it] 47%|████▋ | 14/30 [00:24<00:26, 1.68s/it] 50%|█████ | 15/30 [00:26<00:24, 1.65s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.60s/it] 57%|█████▋ | 17/30 [00:29<00:20, 1.60s/it] 60%|██████ | 18/30 [00:31<00:19, 1.62s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.62s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.65s/it] 70%|███████ | 21/30 [00:35<00:14, 1.63s/it] 73%|███████▎ | 22/30 [00:37<00:13, 1.65s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.56s/it] 80%|████████ | 24/30 [00:40<00:09, 1.51s/it] 83%|████████▎ | 25/30 [00:41<00:07, 1.52s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.56s/it] 90%|█████████ | 27/30 [00:45<00:04, 1.55s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.54s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.35s/it] 100%|██████████| 30/30 [00:48<00:00, 1.13s/it] 100%|██████████| 30/30 [00:48<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 3.5ms preprocess, 7.5ms inference, 23.0ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.65it/s] 12%|█▏ | 2/17 [00:01<00:07, 2.00it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.18it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.23it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.23it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.26it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.24it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.40it/s] 71%|███████ | 12/17 [00:05<00:02, 2.36it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.33it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.33it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.34it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.63it/s] 100%|██████████| 17/17 [00:07<00:00, 3.08it/s] 100%|██████████| 17/17 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.26s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.1ms Speed: 3.0ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.37it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.33it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.35it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.29it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.27it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.26it/s] 41%|████ | 7/17 [00:03<00:04, 2.21it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.23it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.23it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.33it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.42it/s] 71%|███████ | 12/17 [00:05<00:02, 2.42it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.35it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.38it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.37it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.66it/s] 100%|██████████| 17/17 [00:06<00:00, 3.09it/s] 100%|██████████| 17/17 [00:06<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.39it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.36it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.39it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.36it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.32it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.32it/s] 41%|████ | 7/17 [00:03<00:04, 2.25it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.19it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.29it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.36it/s] 71%|███████ | 12/17 [00:05<00:02, 2.36it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.31it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.30it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.33it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.59it/s] 100%|██████████| 17/17 [00:06<00:00, 3.03it/s] 100%|██████████| 17/17 [00:06<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.8ms Speed: 2.9ms preprocess, 6.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.41it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.38it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.38it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.36it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.32it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.32it/s] 41%|████ | 7/17 [00:03<00:04, 2.28it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.30it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.27it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.38it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.44it/s] 71%|███████ | 12/17 [00:05<00:02, 2.43it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.37it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.35it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.38it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.64it/s] 100%|██████████| 17/17 [00:06<00:00, 3.08it/s] 100%|██████████| 17/17 [00:06<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.39it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.35it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.39it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.35it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.30it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.30it/s] 41%|████ | 7/17 [00:03<00:04, 2.25it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.24it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.23it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.30it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.36it/s] 71%|███████ | 12/17 [00:05<00:02, 2.35it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.30it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.27it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.56it/s] 100%|██████████| 17/17 [00:06<00:00, 3.01it/s] 100%|██████████| 17/17 [00:06<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.8ms preprocess, 6.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.36it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.32it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.38it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.36it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.30it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.28it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:04, 1.92it/s] 53%|█████▎ | 9/17 [00:04<00:04, 2.00it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.16it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.26it/s] 71%|███████ | 12/17 [00:05<00:02, 2.30it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.25it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.29it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.31it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.61it/s] 100%|██████████| 17/17 [00:07<00:00, 3.05it/s] 100%|██████████| 17/17 [00:07<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 4.0ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.30it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.36it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.29it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.27it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.27it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.21it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.39it/s] 71%|███████ | 12/17 [00:05<00:02, 2.36it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.30it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.33it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.61it/s] 100%|██████████| 17/17 [00:06<00:00, 3.05it/s] 100%|██████████| 17/17 [00:06<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.40it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.36it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.39it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.36it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.32it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.33it/s] 41%|████ | 7/17 [00:03<00:04, 2.28it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.31it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.27it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.38it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.44it/s] 71%|███████ | 12/17 [00:05<00:02, 2.41it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.37it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.38it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.36it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.66it/s] 100%|██████████| 17/17 [00:06<00:00, 3.09it/s] 100%|██████████| 17/17 [00:06<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.40it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.31it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.31it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.27it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.25it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.28it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.25it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.37it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.43it/s] 71%|███████ | 12/17 [00:05<00:02, 2.42it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.36it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.36it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.37it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.62it/s] 100%|██████████| 17/17 [00:06<00:00, 3.00it/s] 100%|██████████| 17/17 [00:06<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
Fashion magazine cover photo of a young asian female, kpop BLACKPINK, model with jet black hair, bold red lipstick, detailed skin, leather jacket, posing confidently with hand on hip, upper body shot, studio backdrop, (bright fill lighting:1.4) from the front balancing out shadows, straight on angle, very shallow DOF, in an edgy style, (film grain), <lora:polyhedron_skinny_all:0.6>
negative_prompt
Specify things to not see in the output
BadDream, (UnrealisticDream:1.3), nipples
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.3
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
5775695
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
 
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
 
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
 
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
9
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
polyhedron_new_skin_v1.1.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
 
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
 
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
BadDream.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
 
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
 
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/30493a06878c49759d6639fd84e56869/00000-5775695.png
https://files.tungsten.run/uploads/d9f561f1d9e14106929056d19b1b9370/00001-5775696.png
https://files.tungsten.run/uploads/1c6357bebcc947858467da007bb3f007/00002-5775697.png
https://files.tungsten.run/uploads/d3f41597846a41d3ad58020d646a5c8d/00003-5775698.png
Finished in 130.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: Fashion magazine cover photo of a young asian female, kpop BLACKPINK, model with jet black hair, bold red lipstick, detailed skin, leather jacket, posing confidently with hand on hip, upper body shot, studio backdrop, (bright fill lighting:1.4) from the front balancing out shadows, straight on angle, very shallow DOF, in an edgy style, (film grain), <lora:polyhedron_skinny_all:0.6>, (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), (ultra detailed:1.5), <lora:add_detail:0.3> Full negative prompt: BadDream, (UnrealisticDream:1.3), nipples Couldn't find network with name polyhedron_skinny_all 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:51, 1.78s/it] 7%|▋ | 2/30 [00:03<00:48, 1.74s/it] 10%|█ | 3/30 [00:05<00:46, 1.74s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.77s/it] 17%|█▋ | 5/30 [00:08<00:45, 1.82s/it] 20%|██ | 6/30 [00:10<00:43, 1.83s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.81s/it] 27%|██▋ | 8/30 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100%|██████████| 30/30 [00:48<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 3.5ms preprocess, 7.5ms inference, 23.0ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.65it/s] 12%|█▏ | 2/17 [00:01<00:07, 2.00it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.18it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.23it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.23it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.26it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.24it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.40it/s] 71%|███████ | 12/17 [00:05<00:02, 2.36it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.33it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.33it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.34it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.63it/s] 100%|██████████| 17/17 [00:07<00:00, 3.08it/s] 100%|██████████| 17/17 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.26s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.1ms Speed: 3.0ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.37it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.33it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.35it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.29it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.27it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.26it/s] 41%|████ | 7/17 [00:03<00:04, 2.21it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.23it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.23it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.33it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.42it/s] 71%|███████ | 12/17 [00:05<00:02, 2.42it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.35it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.38it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.37it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.66it/s] 100%|██████████| 17/17 [00:06<00:00, 3.09it/s] 100%|██████████| 17/17 [00:06<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.39it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.36it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.39it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.36it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.32it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.32it/s] 41%|████ | 7/17 [00:03<00:04, 2.25it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.19it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.29it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.36it/s] 71%|███████ | 12/17 [00:05<00:02, 2.36it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.31it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.30it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.33it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.59it/s] 100%|██████████| 17/17 [00:06<00:00, 3.03it/s] 100%|██████████| 17/17 [00:06<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.8ms Speed: 2.9ms preprocess, 6.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.41it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.38it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.38it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.36it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.32it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.32it/s] 41%|████ | 7/17 [00:03<00:04, 2.28it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.30it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.27it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.38it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.44it/s] 71%|███████ | 12/17 [00:05<00:02, 2.43it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.37it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.35it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.38it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.64it/s] 100%|██████████| 17/17 [00:06<00:00, 3.08it/s] 100%|██████████| 17/17 [00:06<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.39it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.35it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.39it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.35it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.30it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.30it/s] 41%|████ | 7/17 [00:03<00:04, 2.25it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.24it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.23it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.30it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.36it/s] 71%|███████ | 12/17 [00:05<00:02, 2.35it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.30it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.27it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.56it/s] 100%|██████████| 17/17 [00:06<00:00, 3.01it/s] 100%|██████████| 17/17 [00:06<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.8ms preprocess, 6.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.36it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.32it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.38it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.36it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.30it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.28it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:04, 1.92it/s] 53%|█████▎ | 9/17 [00:04<00:04, 2.00it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.16it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.26it/s] 71%|███████ | 12/17 [00:05<00:02, 2.30it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.25it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.29it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.31it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.61it/s] 100%|██████████| 17/17 [00:07<00:00, 3.05it/s] 100%|██████████| 17/17 [00:07<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 4.0ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.30it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.36it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.29it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.27it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.27it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.21it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.32it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.39it/s] 71%|███████ | 12/17 [00:05<00:02, 2.36it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.30it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.33it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.61it/s] 100%|██████████| 17/17 [00:06<00:00, 3.05it/s] 100%|██████████| 17/17 [00:06<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.40it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.36it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.39it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.36it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.32it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.33it/s] 41%|████ | 7/17 [00:03<00:04, 2.28it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.31it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.27it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.38it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.44it/s] 71%|███████ | 12/17 [00:05<00:02, 2.41it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.37it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.38it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.36it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.66it/s] 100%|██████████| 17/17 [00:06<00:00, 3.09it/s] 100%|██████████| 17/17 [00:06<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name polyhedron_skinny_all 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.40it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.31it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.31it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.27it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.25it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.28it/s] 41%|████ | 7/17 [00:03<00:04, 2.23it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.26it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.25it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.37it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.43it/s] 71%|███████ | 12/17 [00:05<00:02, 2.42it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.36it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.36it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.37it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.62it/s] 100%|██████████| 17/17 [00:06<00:00, 3.00it/s] 100%|██████████| 17/17 [00:06<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.