Girl in an Alley with NonPlusUltra Final
Input
prompt
Specify things to see in the output
A woman in a major city alley, Best Quality, Photorealistic, professional photograph, (night time:1.3), (complete darkness:1.4), (flash photography:1.1), abandoned alley in major city, elaborate detailed, stunning cyberpunk futuristic city, open alley space between two buildings, best quality, Full Moon, obscured by dark clouds, best quality, dark night sky, City street lamp, broken, burned out, sour expression, (sneer:1.3), thin pale face, hard living, pensive concerned pained expression, dark alley, pipes, chain link fence, (backlit open gate in background:1.1), city skyline, some office windows lit up, best quality, young punk woman, (Janis Ashrifina:1.4), wearing knit cap, (wearing puffy black nylon designer jacket:1.3), eyeliner:1.2, neutral makeup lipstick, (messy short ginger hair side of head shaved:1.4), face tattoos, neck tattoos, angry aggressive, pointing, fancy gold jewelry earrings, nose ring, facial jewelry, best quality, wearing dark green worn webbing tool belt, wearing weathered dark gray work pants, many pockets, wallet chain, glowing pocket watch clock face, electronic tablet showing wanted poster, best quality, rain slicked damp concrete path between apartment buildings, city skyline distorted reflection in puddle, best quality, skin tight iridescent maroon colored runners leggings worn low around hips, legs below knee exposed, short white socks, red and green blocky leather street shoes, best quality, crumbling concrete curb, alternating red and yellow stripes (no parking logo:1), best quality, drainage grate, Prompt-11 best quality, broken personal electronic device media player laying on ground, sparks, electrical arcs <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
(((bad art))), (((stock image))), (((stock photo))), (((stock-photo))), ((bad fan art)), ((lazy art)), ((low quality)), (low efford), (rushed art), depressed, blue phase, immature, digimon, sonic, original character, OC, children, cartoon, stuffed animal, (((4chan))), (((twitter))), ((Tik Tok)), ((tiktok)), fascist, racist, Machiavellian, pepe the frog, blackface, dictated, controlled, dominated, uniform, medieval, religion, religious, holy, sacred, Russian, boring, monotone, normal, common, wrong distance, far away object in front of nearer object, (((out of frame))), ((watermark))),((signature)), striped, borders, white border, cutout, collage, incomplete word, cut off text, half letter, latent space, (((overexposed))), (((glow))), glare, lens flare, telescopic interference, low res, lowres, 3d render, (((underexposed))), ((dark)), blackness, dark background, black background, black rectangle, contour, monochrome, colorblind, green skin, ((long exposure time)), ((noisy)), (grainy), (dead pixel), (dusty), dirty, blurry, blur, smeared, fog, out of focus, high Depth of field, floating branch, floating rock, floating bush, floating tree, (((ugly))), (((bad composition))), (((bad proportions)), (((bad anatomy))), ((mangled)), ((distorted)), ((gross proportions), ((duplicate)), (((horrific))), ((mutated)), ((mutation)), (fisheye camera), wide angle camera, deformed, disfigured, morbid, long body, asymmetric, poorly drawn face, cloned face, cloned head, asymmetric ears, asymmetric ear rings, floating hair, (long neck), cross eyed, staring, stare, stare into the camera, look at the camera, blinking, winking, makeup, lipstick, eye liner, eyeliner, kitsch, bad art, bad taste, unnatural, staged, missing limb, missing arm, missing leg, floating limb, disconnected limb, extra limb, too many fingers, extra fingers, malformed limbs, malformed hands, poorly drawn hands, (mutated hands), (mutated fingers), mutilated hands, asymmetric butt, butthole, negative_hand-neg, easynegative, ng_deepnegative_v1_75t, EasyNegativeV2
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
0.1
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.
4287715075
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 Karras
samping_steps
Number of denoising steps
55
cfg_scale
Scale for classifier-free guidance
8.5
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>
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)
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/7261408364ce450e9fd3798ed304ac26/00000-4287715075.png
https://files.tungsten.run/uploads/55c81efe5a3f40fe9b69d460c71ab13e/00001-4287715076.png
https://files.tungsten.run/uploads/cdcfe16febc2499682b8f4cdbe12e4bb/00002-4287715077.png
https://files.tungsten.run/uploads/614d9d9b86424fab9dd95beb70bfb054/00003-4287715078.png
Finished in 132.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: A woman in a major city alley, Best Quality, Photorealistic, professional photograph, (night time:1.3), (complete darkness:1.4), (flash photography:1.1), abandoned alley in major city, elaborate detailed, stunning cyberpunk futuristic city, open alley space between two buildings, best quality, Full Moon, obscured by dark clouds, best quality, dark night sky, City street lamp, broken, burned out, sour expression, (sneer:1.3), thin pale face, hard living, pensive concerned pained expression, dark alley, pipes, chain link fence, (backlit open gate in background:1.1), city skyline, some office windows lit up, best quality, young punk woman, (Janis Ashrifina:1.4), wearing knit cap, (wearing puffy black nylon designer jacket:1.3), eyeliner:1.2, neutral makeup lipstick, (messy short ginger hair side of head shaved:1.4), face tattoos, neck tattoos, angry aggressive, pointing, fancy gold jewelry earrings, nose ring, facial jewelry, best quality, wearing dark green worn webbing tool belt, wearing weathered dark gray work pants, many pockets, wallet chain, glowing pocket watch clock face, electronic tablet showing wanted poster, best quality, rain slicked damp concrete path between apartment buildings, city skyline distorted reflection in puddle, best quality, skin tight iridescent maroon colored runners leggings worn low around hips, legs below knee exposed, short white socks, red and green blocky leather street shoes, best quality, crumbling concrete curb, alternating red and yellow stripes (no parking logo:1), best quality, drainage grate, Prompt-11 best quality, broken personal electronic device media player laying on ground, sparks, electrical arcs <lora:more_details:0.7>, (best quality: 1.5), (masterpiece: 1.5), (ultra detailed: 1.5), (ultra realistic: 1.5), <lora:add_detail:0.1> Full negative prompt: (((bad art))), (((stock image))), (((stock photo))), (((stock-photo))), ((bad fan art)), ((lazy art)), ((low quality)), (low efford), (rushed art), depressed, blue phase, immature, digimon, sonic, original character, OC, children, cartoon, stuffed animal, (((4chan))), (((twitter))), ((Tik Tok)), ((tiktok)), fascist, racist, Machiavellian, pepe the frog, blackface, dictated, controlled, dominated, uniform, medieval, religion, religious, holy, sacred, Russian, boring, monotone, normal, common, wrong distance, far away object in front of nearer object, (((out of frame))), ((watermark))),((signature)), striped, borders, white border, cutout, collage, incomplete word, cut off text, half letter, latent space, (((overexposed))), (((glow))), glare, lens flare, telescopic interference, low res, lowres, 3d render, (((underexposed))), ((dark)), blackness, dark background, black background, black rectangle, contour, monochrome, colorblind, green skin, ((long exposure time)), ((noisy)), (grainy), (dead pixel), (dusty), dirty, blurry, blur, smeared, fog, out of focus, high Depth of field, floating branch, floating rock, floating bush, floating tree, (((ugly))), (((bad composition))), (((bad proportions)), (((bad anatomy))), ((mangled)), ((distorted)), ((gross proportions), ((duplicate)), (((horrific))), ((mutated)), ((mutation)), (fisheye camera), wide angle camera, deformed, disfigured, morbid, long body, asymmetric, poorly drawn face, cloned face, cloned head, asymmetric ears, asymmetric ear rings, floating hair, (long neck), cross eyed, staring, stare, stare into the camera, look at the camera, blinking, winking, makeup, lipstick, eye liner, eyeliner, kitsch, bad art, bad taste, unnatural, staged, missing limb, missing arm, missing leg, floating limb, disconnected limb, extra limb, too many fingers, extra fingers, malformed limbs, malformed hands, poorly drawn hands, (mutated hands), (mutated fingers), mutilated hands, asymmetric butt, butthole, negative_hand-neg, easynegative, ng_deepnegative_v1_75t, EasyNegativeV2 0%| | 0/55 [00:00<?, ?it/s] 2%|▏ | 1/55 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49/55 [00:31<00:03, 1.60it/s] 91%|█████████ | 50/55 [00:31<00:03, 1.60it/s] 93%|█████████▎| 51/55 [00:32<00:02, 1.59it/s] 95%|█████████▍| 52/55 [00:33<00:01, 1.59it/s] 96%|█████████▋| 53/55 [00:33<00:01, 1.59it/s] 98%|█████████▊| 54/55 [00:34<00:00, 1.59it/s] 100%|██████████| 55/55 [00:34<00:00, 1.59it/s] 100%|██████████| 55/55 [00:34<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 3.3ms preprocess, 8.0ms inference, 40.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:12, 2.46it/s] 6%|▋ | 2/31 [00:00<00:08, 3.55it/s] 10%|▉ | 3/31 [00:00<00:06, 4.12it/s] 13%|█▎ | 4/31 [00:01<00:06, 4.40it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.60it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.75it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.87it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.85it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.92it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.98it/s] 35%|███▌ | 11/31 [00:02<00:03, 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cpu... done in 0.01s 0: 640x640 1 hand, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.94it/s] 6%|▋ | 2/31 [00:00<00:05, 4.98it/s] 10%|▉ | 3/31 [00:00<00:05, 4.97it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.90it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.93it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.95it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.85it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.90it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.91it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.93it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.95it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.97it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.95it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.94it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.87it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.90it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.92it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.91it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.93it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.87it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.93it/s] 71%|███████ | 22/31 [00:04<00:01, 4.97it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.98it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.98it/s] 81%|████████ | 25/31 [00:05<00:01, 4.93it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.90it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.93it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.94it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.95it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.83it/s] 100%|██████████| 31/31 [00:06<00:00, 4.87it/s] 100%|██████████| 31/31 [00:06<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.42it/s] 6%|▋ | 2/31 [00:00<00:06, 4.67it/s] 10%|▉ | 3/31 [00:00<00:05, 4.76it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.84it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.91it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.85it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.90it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.88it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.91it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.93it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.83it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.85it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.88it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.91it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.94it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.81it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.79it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.82it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.84it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.90it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.89it/s] 71%|███████ | 22/31 [00:04<00:01, 4.94it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.98it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.93it/s] 81%|████████ | 25/31 [00:05<00:01, 4.97it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.90it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.92it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.95it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.95it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.99it/s] 100%|██████████| 31/31 [00:06<00:00, 4.86it/s] 100%|██████████| 31/31 [00:06<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.81it/s] 6%|▋ | 2/31 [00:00<00:05, 4.88it/s] 10%|▉ | 3/31 [00:00<00:05, 4.97it/s] 13%|█▎ | 4/31 [00:00<00:05, 5.01it/s] 16%|█▌ | 5/31 [00:01<00:05, 5.01it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.76it/s] 23%|██▎ | 7/31 [00:01<00:05, 4.76it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.80it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.78it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.83it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.83it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.84it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.89it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.91it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.95it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.81it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.87it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.92it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.95it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.97it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.95it/s] 71%|███████ | 22/31 [00:04<00:01, 4.96it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.97it/s] 77%|███████▋ | 24/31 [00:04<00:01, 5.00it/s] 81%|████████ | 25/31 [00:05<00:01, 5.01it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.91it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.94it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.96it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.97it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.97it/s] 100%|██████████| 31/31 [00:06<00:00, 4.99it/s] 100%|██████████| 31/31 [00:06<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.94it/s] 6%|▋ | 2/31 [00:00<00:05, 4.92it/s] 10%|▉ | 3/31 [00:00<00:05, 4.93it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.93it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.96it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.99it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.98it/s] 26%|██▌ | 8/31 [00:01<00:04, 5.00it/s] 29%|██▉ | 9/31 [00:01<00:04, 5.02it/s] 32%|███▏ | 10/31 [00:02<00:04, 5.02it/s] 35%|███▌ | 11/31 [00:02<00:03, 5.01it/s] 39%|███▊ | 12/31 [00:02<00:03, 5.01it/s] 42%|████▏ | 13/31 [00:02<00:03, 5.02it/s] 45%|████▌ | 14/31 [00:02<00:03, 5.01it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.99it/s] 52%|█████▏ | 16/31 [00:03<00:02, 5.00it/s] 55%|█████▍ | 17/31 [00:03<00:02, 5.00it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.97it/s] 61%|██████▏ | 19/31 [00:03<00:02, 5.00it/s] 65%|██████▍ | 20/31 [00:04<00:02, 5.02it/s] 68%|██████▊ | 21/31 [00:04<00:01, 5.02it/s] 71%|███████ | 22/31 [00:04<00:01, 5.02it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.88it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.88it/s] 81%|████████ | 25/31 [00:05<00:01, 4.87it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.85it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.89it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.90it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.93it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.94it/s] 100%|██████████| 31/31 [00:06<00:00, 4.96it/s] 100%|██████████| 31/31 [00:06<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:05, 5.03it/s] 6%|▋ | 2/31 [00:00<00:05, 5.03it/s] 10%|▉ | 3/31 [00:00<00:05, 5.01it/s] 13%|█▎ | 4/31 [00:00<00:05, 5.04it/s] 16%|█▌ | 5/31 [00:00<00:05, 5.05it/s] 19%|█▉ | 6/31 [00:01<00:04, 5.06it/s] 23%|██▎ | 7/31 [00:01<00:04, 5.08it/s] 26%|██▌ | 8/31 [00:01<00:04, 5.08it/s] 29%|██▉ | 9/31 [00:01<00:04, 5.07it/s] 32%|███▏ | 10/31 [00:01<00:04, 5.04it/s] 35%|███▌ | 11/31 [00:02<00:03, 5.04it/s] 39%|███▊ | 12/31 [00:02<00:03, 5.04it/s] 42%|████▏ | 13/31 [00:02<00:03, 5.04it/s] 45%|████▌ | 14/31 [00:02<00:03, 5.02it/s] 48%|████▊ | 15/31 [00:02<00:03, 5.02it/s] 52%|█████▏ | 16/31 [00:03<00:02, 5.00it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.97it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.95it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.93it/s] 65%|██████▍ | 20/31 [00:03<00:02, 4.88it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.93it/s] 71%|███████ | 22/31 [00:04<00:01, 4.97it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.98it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.98it/s] 81%|████████ | 25/31 [00:04<00:01, 5.00it/s] 84%|████████▍ | 26/31 [00:05<00:00, 5.01it/s] 87%|████████▋ | 27/31 [00:05<00:00, 5.02it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.98it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.99it/s] 97%|█████████▋| 30/31 [00:05<00:00, 4.99it/s] 100%|██████████| 31/31 [00:06<00:00, 5.01it/s] 100%|██████████| 31/31 [00:06<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:05, 5.10it/s] 6%|▋ | 2/31 [00:00<00:05, 5.08it/s] 10%|▉ | 3/31 [00:00<00:05, 5.06it/s] 13%|█▎ | 4/31 [00:00<00:05, 5.07it/s] 16%|█▌ | 5/31 [00:00<00:05, 5.03it/s] 19%|█▉ | 6/31 [00:01<00:04, 5.05it/s] 23%|██▎ | 7/31 [00:01<00:04, 5.06it/s] 26%|██▌ | 8/31 [00:01<00:04, 5.06it/s] 29%|██▉ | 9/31 [00:01<00:04, 5.06it/s] 32%|███▏ | 10/31 [00:01<00:04, 5.00it/s] 35%|███▌ | 11/31 [00:02<00:03, 5.02it/s] 39%|███▊ | 12/31 [00:02<00:03, 5.02it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.88it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.93it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.85it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.91it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.95it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.96it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.96it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.87it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.92it/s] 71%|███████ | 22/31 [00:04<00:01, 4.95it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.96it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.93it/s] 81%|████████ | 25/31 [00:05<00:01, 4.92it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.97it/s] 87%|████████▋ | 27/31 [00:05<00:00, 5.00it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.98it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.95it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.81it/s] 100%|██████████| 31/31 [00:06<00:00, 4.89it/s] 100%|██████████| 31/31 [00:06<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.82it/s] 6%|▋ | 2/31 [00:00<00:06, 4.60it/s] 10%|▉ | 3/31 [00:00<00:05, 4.76it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.79it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.82it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.86it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.91it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.94it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.95it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.97it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.96it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.86it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.91it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.90it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.92it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.97it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.90it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.95it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.97it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.99it/s] 68%|██████▊ | 21/31 [00:04<00:01, 5.01it/s] 71%|███████ | 22/31 [00:04<00:01, 5.03it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.98it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.99it/s] 81%|████████ | 25/31 [00:05<00:01, 4.98it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.99it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.89it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.92it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.93it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.93it/s] 100%|██████████| 31/31 [00:06<00:00, 4.88it/s] 100%|██████████| 31/31 [00:06<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.4ms Speed: 3.2ms preprocess, 9.4ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.99it/s] 6%|▋ | 2/31 [00:00<00:06, 4.74it/s] 10%|▉ | 3/31 [00:00<00:05, 4.85it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.88it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.91it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.94it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.92it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.92it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.90it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.95it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.98it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.83it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.82it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.76it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.85it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.91it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.86it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.88it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.92it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.96it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.98it/s] 71%|███████ | 22/31 [00:04<00:01, 4.96it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.97it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.92it/s] 81%|████████ | 25/31 [00:05<00:01, 4.88it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.89it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.93it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.95it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.95it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.97it/s] 100%|██████████| 31/31 [00:06<00:00, 4.99it/s] 100%|██████████| 31/31 [00:06<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.99it/s] 6%|▋ | 2/31 [00:00<00:05, 4.96it/s] 10%|▉ | 3/31 [00:00<00:05, 4.99it/s] 13%|█▎ | 4/31 [00:00<00:05, 5.00it/s] 16%|█▌ | 5/31 [00:01<00:05, 5.00it/s] 19%|█▉ | 6/31 [00:01<00:04, 5.01it/s] 23%|██▎ | 7/31 [00:01<00:04, 5.02it/s] 26%|██▌ | 8/31 [00:01<00:04, 5.02it/s] 29%|██▉ | 9/31 [00:01<00:04, 5.01it/s] 32%|███▏ | 10/31 [00:01<00:04, 5.01it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.98it/s] 39%|███▊ | 12/31 [00:02<00:03, 5.00it/s] 42%|████▏ | 13/31 [00:02<00:03, 5.00it/s] 45%|████▌ | 14/31 [00:02<00:03, 5.01it/s] 48%|████▊ | 15/31 [00:02<00:03, 5.03it/s] 52%|█████▏ | 16/31 [00:03<00:02, 5.03it/s] 55%|█████▍ | 17/31 [00:03<00:02, 5.05it/s] 58%|█████▊ | 18/31 [00:03<00:02, 5.05it/s] 61%|██████▏ | 19/31 [00:03<00:02, 5.06it/s] 65%|██████▍ | 20/31 [00:03<00:02, 5.06it/s] 68%|██████▊ | 21/31 [00:04<00:01, 5.07it/s] 71%|███████ | 22/31 [00:04<00:01, 5.08it/s] 74%|███████▍ | 23/31 [00:04<00:01, 5.04it/s] 77%|███████▋ | 24/31 [00:04<00:01, 5.01it/s] 81%|████████ | 25/31 [00:04<00:01, 5.01it/s] 84%|████████▍ | 26/31 [00:05<00:00, 5.01it/s] 87%|████████▋ | 27/31 [00:05<00:00, 5.00it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.99it/s] 94%|█████████▎| 29/31 [00:05<00:00, 5.00it/s] 97%|█████████▋| 30/31 [00:05<00:00, 5.00it/s] 100%|██████████| 31/31 [00:06<00:00, 4.95it/s] 100%|██████████| 31/31 [00:06<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.96it/s] 6%|▋ | 2/31 [00:00<00:05, 4.99it/s] 10%|▉ | 3/31 [00:00<00:05, 5.00it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.99it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.82it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.89it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.93it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.95it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.96it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.81it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.87it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.88it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.93it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.92it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.73it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.81it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.85it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.89it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.93it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.83it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.84it/s] 71%|███████ | 22/31 [00:04<00:01, 4.89it/s] 74%|███████▍ | 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prompt
Specify things to see in the output
A woman in a major city alley, Best Quality, Photorealistic, professional photograph, (night time:1.3), (complete darkness:1.4), (flash photography:1.1), abandoned alley in major city, elaborate detailed, stunning cyberpunk futuristic city, open alley space between two buildings, best quality, Full Moon, obscured by dark clouds, best quality, dark night sky, City street lamp, broken, burned out, sour expression, (sneer:1.3), thin pale face, hard living, pensive concerned pained expression, dark alley, pipes, chain link fence, (backlit open gate in background:1.1), city skyline, some office windows lit up, best quality, young punk woman, (Janis Ashrifina:1.4), wearing knit cap, (wearing puffy black nylon designer jacket:1.3), eyeliner:1.2, neutral makeup lipstick, (messy short ginger hair side of head shaved:1.4), face tattoos, neck tattoos, angry aggressive, pointing, fancy gold jewelry earrings, nose ring, facial jewelry, best quality, wearing dark green worn webbing tool belt, wearing weathered dark gray work pants, many pockets, wallet chain, glowing pocket watch clock face, electronic tablet showing wanted poster, best quality, rain slicked damp concrete path between apartment buildings, city skyline distorted reflection in puddle, best quality, skin tight iridescent maroon colored runners leggings worn low around hips, legs below knee exposed, short white socks, red and green blocky leather street shoes, best quality, crumbling concrete curb, alternating red and yellow stripes (no parking logo:1), best quality, drainage grate, Prompt-11 best quality, broken personal electronic device media player laying on ground, sparks, electrical arcs <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
(((bad art))), (((stock image))), (((stock photo))), (((stock-photo))), ((bad fan art)), ((lazy art)), ((low quality)), (low efford), (rushed art), depressed, blue phase, immature, digimon, sonic, original character, OC, children, cartoon, stuffed animal, (((4chan))), (((twitter))), ((Tik Tok)), ((tiktok)), fascist, racist, Machiavellian, pepe the frog, blackface, dictated, controlled, dominated, uniform, medieval, religion, religious, holy, sacred, Russian, boring, monotone, normal, common, wrong distance, far away object in front of nearer object, (((out of frame))), ((watermark))),((signature)), striped, borders, white border, cutout, collage, incomplete word, cut off text, half letter, latent space, (((overexposed))), (((glow))), glare, lens flare, telescopic interference, low res, lowres, 3d render, (((underexposed))), ((dark)), blackness, dark background, black background, black rectangle, contour, monochrome, colorblind, green skin, ((long exposure time)), ((noisy)), (grainy), (dead pixel), (dusty), dirty, blurry, blur, smeared, fog, out of focus, high Depth of field, floating branch, floating rock, floating bush, floating tree, (((ugly))), (((bad composition))), (((bad proportions)), (((bad anatomy))), ((mangled)), ((distorted)), ((gross proportions), ((duplicate)), (((horrific))), ((mutated)), ((mutation)), (fisheye camera), wide angle camera, deformed, disfigured, morbid, long body, asymmetric, poorly drawn face, cloned face, cloned head, asymmetric ears, asymmetric ear rings, floating hair, (long neck), cross eyed, staring, stare, stare into the camera, look at the camera, blinking, winking, makeup, lipstick, eye liner, eyeliner, kitsch, bad art, bad taste, unnatural, staged, missing limb, missing arm, missing leg, floating limb, disconnected limb, extra limb, too many fingers, extra fingers, malformed limbs, malformed hands, poorly drawn hands, (mutated hands), (mutated fingers), mutilated hands, asymmetric butt, butthole, negative_hand-neg, easynegative, ng_deepnegative_v1_75t, EasyNegativeV2
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
0.1
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.
4287715075
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 Karras
samping_steps
Number of denoising steps
55
cfg_scale
Scale for classifier-free guidance
8.5
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>
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)
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/7261408364ce450e9fd3798ed304ac26/00000-4287715075.png
https://files.tungsten.run/uploads/55c81efe5a3f40fe9b69d460c71ab13e/00001-4287715076.png
https://files.tungsten.run/uploads/cdcfe16febc2499682b8f4cdbe12e4bb/00002-4287715077.png
https://files.tungsten.run/uploads/614d9d9b86424fab9dd95beb70bfb054/00003-4287715078.png
Finished in 132.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: A woman in a major city alley, Best Quality, Photorealistic, professional photograph, (night time:1.3), (complete darkness:1.4), (flash photography:1.1), abandoned alley in major city, elaborate detailed, stunning cyberpunk futuristic city, open alley space between two buildings, best quality, Full Moon, obscured by dark clouds, best quality, dark night sky, City street lamp, broken, burned out, sour expression, (sneer:1.3), thin pale face, hard living, pensive concerned pained expression, dark alley, pipes, chain link fence, (backlit open gate in background:1.1), city skyline, some office windows lit up, best quality, young punk woman, (Janis Ashrifina:1.4), wearing knit cap, (wearing puffy black nylon designer jacket:1.3), eyeliner:1.2, neutral makeup lipstick, (messy short ginger hair side of head shaved:1.4), face tattoos, neck tattoos, angry aggressive, pointing, fancy gold jewelry earrings, nose ring, facial jewelry, best quality, wearing dark green worn webbing tool belt, wearing weathered dark gray work pants, many pockets, wallet chain, glowing pocket watch clock face, electronic tablet showing wanted poster, best quality, rain slicked damp concrete path between apartment buildings, city skyline distorted reflection in puddle, best quality, skin tight iridescent maroon colored runners leggings worn low around hips, legs below knee exposed, short white socks, red and green blocky leather street shoes, best quality, crumbling concrete curb, alternating red and yellow stripes (no parking logo:1), best quality, drainage grate, Prompt-11 best quality, broken personal electronic device media player laying on ground, sparks, electrical arcs <lora:more_details:0.7>, (best quality: 1.5), (masterpiece: 1.5), (ultra detailed: 1.5), (ultra realistic: 1.5), <lora:add_detail:0.1> Full negative prompt: (((bad art))), (((stock image))), (((stock photo))), (((stock-photo))), ((bad fan art)), ((lazy art)), ((low quality)), (low efford), (rushed art), depressed, blue phase, immature, digimon, sonic, original character, OC, children, cartoon, stuffed animal, (((4chan))), (((twitter))), ((Tik Tok)), ((tiktok)), fascist, racist, Machiavellian, pepe the frog, blackface, dictated, controlled, dominated, uniform, medieval, religion, religious, holy, sacred, Russian, boring, monotone, normal, common, wrong distance, far away object in front of nearer object, (((out of frame))), ((watermark))),((signature)), striped, borders, white border, cutout, collage, incomplete word, cut off text, half letter, latent space, (((overexposed))), (((glow))), glare, lens flare, telescopic interference, low res, lowres, 3d render, (((underexposed))), ((dark)), blackness, dark background, black background, black rectangle, contour, monochrome, colorblind, green skin, ((long exposure time)), ((noisy)), (grainy), (dead pixel), (dusty), dirty, blurry, blur, smeared, fog, out of focus, high Depth of field, floating branch, floating rock, floating bush, floating tree, (((ugly))), (((bad composition))), (((bad proportions)), (((bad anatomy))), ((mangled)), ((distorted)), ((gross proportions), ((duplicate)), (((horrific))), ((mutated)), ((mutation)), (fisheye camera), wide angle camera, deformed, disfigured, morbid, long body, asymmetric, poorly drawn face, cloned face, cloned head, asymmetric ears, asymmetric ear rings, floating hair, (long neck), cross eyed, staring, stare, stare into the camera, look at the camera, blinking, winking, makeup, lipstick, eye liner, eyeliner, kitsch, bad art, bad taste, unnatural, staged, missing limb, missing arm, missing leg, floating limb, disconnected limb, extra limb, too many fingers, extra fingers, malformed limbs, malformed hands, poorly drawn hands, (mutated hands), (mutated fingers), mutilated hands, asymmetric butt, butthole, negative_hand-neg, easynegative, ng_deepnegative_v1_75t, EasyNegativeV2 0%| | 0/55 [00:00<?, ?it/s] 2%|▏ | 1/55 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49/55 [00:31<00:03, 1.60it/s] 91%|█████████ | 50/55 [00:31<00:03, 1.60it/s] 93%|█████████▎| 51/55 [00:32<00:02, 1.59it/s] 95%|█████████▍| 52/55 [00:33<00:01, 1.59it/s] 96%|█████████▋| 53/55 [00:33<00:01, 1.59it/s] 98%|█████████▊| 54/55 [00:34<00:00, 1.59it/s] 100%|██████████| 55/55 [00:34<00:00, 1.59it/s] 100%|██████████| 55/55 [00:34<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 3.3ms preprocess, 8.0ms inference, 40.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:12, 2.46it/s] 6%|▋ | 2/31 [00:00<00:08, 3.55it/s] 10%|▉ | 3/31 [00:00<00:06, 4.12it/s] 13%|█▎ | 4/31 [00:01<00:06, 4.40it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.60it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.75it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.87it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.85it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.92it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.98it/s] 35%|███▌ | 11/31 [00:02<00:03, 5.04it/s] 39%|███▊ | 12/31 [00:02<00:03, 5.06it/s] 42%|████▏ | 13/31 [00:02<00:03, 5.09it/s] 45%|████▌ | 14/31 [00:02<00:03, 5.08it/s] 48%|████▊ | 15/31 [00:03<00:03, 5.03it/s] 52%|█████▏ | 16/31 [00:03<00:02, 5.07it/s] 55%|█████▍ | 17/31 [00:03<00:02, 5.10it/s] 58%|█████▊ | 18/31 [00:03<00:02, 5.11it/s] 61%|██████▏ | 19/31 [00:03<00:02, 5.12it/s] 65%|██████▍ | 20/31 [00:04<00:02, 5.13it/s] 68%|██████▊ | 21/31 [00:04<00:01, 5.14it/s] 71%|███████ | 22/31 [00:04<00:01, 5.13it/s] 74%|███████▍ | 23/31 [00:04<00:01, 5.13it/s] 77%|███████▋ | 24/31 [00:04<00:01, 5.02it/s] 81%|████████ | 25/31 [00:05<00:01, 5.07it/s] 84%|████████▍ | 26/31 [00:05<00:00, 5.09it/s] 87%|████████▋ | 27/31 [00:05<00:00, 5.11it/s] 90%|█████████ | 28/31 [00:05<00:00, 5.00it/s] 94%|█████████▎| 29/31 [00:05<00:00, 5.00it/s] 97%|█████████▋| 30/31 [00:06<00:00, 5.01it/s] 100%|██████████| 31/31 [00:06<00:00, 4.99it/s] 100%|██████████| 31/31 [00:06<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.94it/s] 6%|▋ | 2/31 [00:00<00:05, 4.98it/s] 10%|▉ | 3/31 [00:00<00:05, 4.97it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.90it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.93it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.95it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.85it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.90it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.91it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.93it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.95it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.97it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.95it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.94it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.87it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.90it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.92it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.91it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.93it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.87it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.93it/s] 71%|███████ | 22/31 [00:04<00:01, 4.97it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.98it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.98it/s] 81%|████████ | 25/31 [00:05<00:01, 4.93it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.90it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.93it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.94it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.95it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.83it/s] 100%|██████████| 31/31 [00:06<00:00, 4.87it/s] 100%|██████████| 31/31 [00:06<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.42it/s] 6%|▋ | 2/31 [00:00<00:06, 4.67it/s] 10%|▉ | 3/31 [00:00<00:05, 4.76it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.84it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.91it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.85it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.90it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.88it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.91it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.93it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.83it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.85it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.88it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.91it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.94it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.81it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.79it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.82it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.84it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.90it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.89it/s] 71%|███████ | 22/31 [00:04<00:01, 4.94it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.98it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.93it/s] 81%|████████ | 25/31 [00:05<00:01, 4.97it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.90it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.92it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.95it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.95it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.99it/s] 100%|██████████| 31/31 [00:06<00:00, 4.86it/s] 100%|██████████| 31/31 [00:06<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.81it/s] 6%|▋ | 2/31 [00:00<00:05, 4.88it/s] 10%|▉ | 3/31 [00:00<00:05, 4.97it/s] 13%|█▎ | 4/31 [00:00<00:05, 5.01it/s] 16%|█▌ | 5/31 [00:01<00:05, 5.01it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.76it/s] 23%|██▎ | 7/31 [00:01<00:05, 4.76it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.80it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.78it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.83it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.83it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.84it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.89it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.91it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.95it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.81it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.87it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.92it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.95it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.97it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.95it/s] 71%|███████ | 22/31 [00:04<00:01, 4.96it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.97it/s] 77%|███████▋ | 24/31 [00:04<00:01, 5.00it/s] 81%|████████ | 25/31 [00:05<00:01, 5.01it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.91it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.94it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.96it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.97it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.97it/s] 100%|██████████| 31/31 [00:06<00:00, 4.99it/s] 100%|██████████| 31/31 [00:06<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.94it/s] 6%|▋ | 2/31 [00:00<00:05, 4.92it/s] 10%|▉ | 3/31 [00:00<00:05, 4.93it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.93it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.96it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.99it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.98it/s] 26%|██▌ | 8/31 [00:01<00:04, 5.00it/s] 29%|██▉ | 9/31 [00:01<00:04, 5.02it/s] 32%|███▏ | 10/31 [00:02<00:04, 5.02it/s] 35%|███▌ | 11/31 [00:02<00:03, 5.01it/s] 39%|███▊ | 12/31 [00:02<00:03, 5.01it/s] 42%|████▏ | 13/31 [00:02<00:03, 5.02it/s] 45%|████▌ | 14/31 [00:02<00:03, 5.01it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.99it/s] 52%|█████▏ | 16/31 [00:03<00:02, 5.00it/s] 55%|█████▍ | 17/31 [00:03<00:02, 5.00it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.97it/s] 61%|██████▏ | 19/31 [00:03<00:02, 5.00it/s] 65%|██████▍ | 20/31 [00:04<00:02, 5.02it/s] 68%|██████▊ | 21/31 [00:04<00:01, 5.02it/s] 71%|███████ | 22/31 [00:04<00:01, 5.02it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.88it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.88it/s] 81%|████████ | 25/31 [00:05<00:01, 4.87it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.85it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.89it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.90it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.93it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.94it/s] 100%|██████████| 31/31 [00:06<00:00, 4.96it/s] 100%|██████████| 31/31 [00:06<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:05, 5.03it/s] 6%|▋ | 2/31 [00:00<00:05, 5.03it/s] 10%|▉ | 3/31 [00:00<00:05, 5.01it/s] 13%|█▎ | 4/31 [00:00<00:05, 5.04it/s] 16%|█▌ | 5/31 [00:00<00:05, 5.05it/s] 19%|█▉ | 6/31 [00:01<00:04, 5.06it/s] 23%|██▎ | 7/31 [00:01<00:04, 5.08it/s] 26%|██▌ | 8/31 [00:01<00:04, 5.08it/s] 29%|██▉ | 9/31 [00:01<00:04, 5.07it/s] 32%|███▏ | 10/31 [00:01<00:04, 5.04it/s] 35%|███▌ | 11/31 [00:02<00:03, 5.04it/s] 39%|███▊ | 12/31 [00:02<00:03, 5.04it/s] 42%|████▏ | 13/31 [00:02<00:03, 5.04it/s] 45%|████▌ | 14/31 [00:02<00:03, 5.02it/s] 48%|████▊ | 15/31 [00:02<00:03, 5.02it/s] 52%|█████▏ | 16/31 [00:03<00:02, 5.00it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.97it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.95it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.93it/s] 65%|██████▍ | 20/31 [00:03<00:02, 4.88it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.93it/s] 71%|███████ | 22/31 [00:04<00:01, 4.97it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.98it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.98it/s] 81%|████████ | 25/31 [00:04<00:01, 5.00it/s] 84%|████████▍ | 26/31 [00:05<00:00, 5.01it/s] 87%|████████▋ | 27/31 [00:05<00:00, 5.02it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.98it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.99it/s] 97%|█████████▋| 30/31 [00:05<00:00, 4.99it/s] 100%|██████████| 31/31 [00:06<00:00, 5.01it/s] 100%|██████████| 31/31 [00:06<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:05, 5.10it/s] 6%|▋ | 2/31 [00:00<00:05, 5.08it/s] 10%|▉ | 3/31 [00:00<00:05, 5.06it/s] 13%|█▎ | 4/31 [00:00<00:05, 5.07it/s] 16%|█▌ | 5/31 [00:00<00:05, 5.03it/s] 19%|█▉ | 6/31 [00:01<00:04, 5.05it/s] 23%|██▎ | 7/31 [00:01<00:04, 5.06it/s] 26%|██▌ | 8/31 [00:01<00:04, 5.06it/s] 29%|██▉ | 9/31 [00:01<00:04, 5.06it/s] 32%|███▏ | 10/31 [00:01<00:04, 5.00it/s] 35%|███▌ | 11/31 [00:02<00:03, 5.02it/s] 39%|███▊ | 12/31 [00:02<00:03, 5.02it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.88it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.93it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.85it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.91it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.95it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.96it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.96it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.87it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.92it/s] 71%|███████ | 22/31 [00:04<00:01, 4.95it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.96it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.93it/s] 81%|████████ | 25/31 [00:05<00:01, 4.92it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.97it/s] 87%|████████▋ | 27/31 [00:05<00:00, 5.00it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.98it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.95it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.81it/s] 100%|██████████| 31/31 [00:06<00:00, 4.89it/s] 100%|██████████| 31/31 [00:06<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.82it/s] 6%|▋ | 2/31 [00:00<00:06, 4.60it/s] 10%|▉ | 3/31 [00:00<00:05, 4.76it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.79it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.82it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.86it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.91it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.94it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.95it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.97it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.96it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.86it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.91it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.90it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.92it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.97it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.90it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.95it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.97it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.99it/s] 68%|██████▊ | 21/31 [00:04<00:01, 5.01it/s] 71%|███████ | 22/31 [00:04<00:01, 5.03it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.98it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.99it/s] 81%|████████ | 25/31 [00:05<00:01, 4.98it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.99it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.89it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.92it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.93it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.93it/s] 100%|██████████| 31/31 [00:06<00:00, 4.88it/s] 100%|██████████| 31/31 [00:06<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.4ms Speed: 3.2ms preprocess, 9.4ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.99it/s] 6%|▋ | 2/31 [00:00<00:06, 4.74it/s] 10%|▉ | 3/31 [00:00<00:05, 4.85it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.88it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.91it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.94it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.92it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.92it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.90it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.95it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.98it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.83it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.82it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.76it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.85it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.91it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.86it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.88it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.92it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.96it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.98it/s] 71%|███████ | 22/31 [00:04<00:01, 4.96it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.97it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.92it/s] 81%|████████ | 25/31 [00:05<00:01, 4.88it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.89it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.93it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.95it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.95it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.97it/s] 100%|██████████| 31/31 [00:06<00:00, 4.99it/s] 100%|██████████| 31/31 [00:06<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.99it/s] 6%|▋ | 2/31 [00:00<00:05, 4.96it/s] 10%|▉ | 3/31 [00:00<00:05, 4.99it/s] 13%|█▎ | 4/31 [00:00<00:05, 5.00it/s] 16%|█▌ | 5/31 [00:01<00:05, 5.00it/s] 19%|█▉ | 6/31 [00:01<00:04, 5.01it/s] 23%|██▎ | 7/31 [00:01<00:04, 5.02it/s] 26%|██▌ | 8/31 [00:01<00:04, 5.02it/s] 29%|██▉ | 9/31 [00:01<00:04, 5.01it/s] 32%|███▏ | 10/31 [00:01<00:04, 5.01it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.98it/s] 39%|███▊ | 12/31 [00:02<00:03, 5.00it/s] 42%|████▏ | 13/31 [00:02<00:03, 5.00it/s] 45%|████▌ | 14/31 [00:02<00:03, 5.01it/s] 48%|████▊ | 15/31 [00:02<00:03, 5.03it/s] 52%|█████▏ | 16/31 [00:03<00:02, 5.03it/s] 55%|█████▍ | 17/31 [00:03<00:02, 5.05it/s] 58%|█████▊ | 18/31 [00:03<00:02, 5.05it/s] 61%|██████▏ | 19/31 [00:03<00:02, 5.06it/s] 65%|██████▍ | 20/31 [00:03<00:02, 5.06it/s] 68%|██████▊ | 21/31 [00:04<00:01, 5.07it/s] 71%|███████ | 22/31 [00:04<00:01, 5.08it/s] 74%|███████▍ | 23/31 [00:04<00:01, 5.04it/s] 77%|███████▋ | 24/31 [00:04<00:01, 5.01it/s] 81%|████████ | 25/31 [00:04<00:01, 5.01it/s] 84%|████████▍ | 26/31 [00:05<00:00, 5.01it/s] 87%|████████▋ | 27/31 [00:05<00:00, 5.00it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.99it/s] 94%|█████████▎| 29/31 [00:05<00:00, 5.00it/s] 97%|█████████▋| 30/31 [00:05<00:00, 5.00it/s] 100%|██████████| 31/31 [00:06<00:00, 4.95it/s] 100%|██████████| 31/31 [00:06<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:06, 4.96it/s] 6%|▋ | 2/31 [00:00<00:05, 4.99it/s] 10%|▉ | 3/31 [00:00<00:05, 5.00it/s] 13%|█▎ | 4/31 [00:00<00:05, 4.99it/s] 16%|█▌ | 5/31 [00:01<00:05, 4.82it/s] 19%|█▉ | 6/31 [00:01<00:05, 4.89it/s] 23%|██▎ | 7/31 [00:01<00:04, 4.93it/s] 26%|██▌ | 8/31 [00:01<00:04, 4.95it/s] 29%|██▉ | 9/31 [00:01<00:04, 4.96it/s] 32%|███▏ | 10/31 [00:02<00:04, 4.81it/s] 35%|███▌ | 11/31 [00:02<00:04, 4.87it/s] 39%|███▊ | 12/31 [00:02<00:03, 4.88it/s] 42%|████▏ | 13/31 [00:02<00:03, 4.93it/s] 45%|████▌ | 14/31 [00:02<00:03, 4.92it/s] 48%|████▊ | 15/31 [00:03<00:03, 4.73it/s] 52%|█████▏ | 16/31 [00:03<00:03, 4.81it/s] 55%|█████▍ | 17/31 [00:03<00:02, 4.85it/s] 58%|█████▊ | 18/31 [00:03<00:02, 4.89it/s] 61%|██████▏ | 19/31 [00:03<00:02, 4.93it/s] 65%|██████▍ | 20/31 [00:04<00:02, 4.83it/s] 68%|██████▊ | 21/31 [00:04<00:02, 4.84it/s] 71%|███████ | 22/31 [00:04<00:01, 4.89it/s] 74%|███████▍ | 23/31 [00:04<00:01, 4.94it/s] 77%|███████▋ | 24/31 [00:04<00:01, 4.91it/s] 81%|████████ | 25/31 [00:05<00:01, 4.72it/s] 84%|████████▍ | 26/31 [00:05<00:01, 4.78it/s] 87%|████████▋ | 27/31 [00:05<00:00, 4.84it/s] 90%|█████████ | 28/31 [00:05<00:00, 4.88it/s] 94%|█████████▎| 29/31 [00:05<00:00, 4.78it/s] 97%|█████████▋| 30/31 [00:06<00:00, 4.84it/s] 100%|██████████| 31/31 [00:06<00:00, 4.90it/s] 100%|██████████| 31/31 [00:06<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.