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Cute Bartender with BreakDomain
breakdomain:v1.0
evevalentine2017
evevalentine2017
·
Jan 19
365
Input
prompt
Specify things to see in the output
(masterpiece, best quality, ultra detailed:1.4), 1girl, (mature woman:1.4), aqua hair, high contrast, cyberpunk bartender outfit; ponytail, bangs, detailed background, cyberpunk, futuristic, cocktail, bar, barmaid, window, bloom, neon lights, smug, smile, open mouth, <lora:cyberspace_background-refiner:0.8>, cyberspace_background,
negative_prompt
Specify things to not see in the output
((portrait)), ((focus on face)), ((more than 2 arms)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
46106962
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
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
25
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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>
cyberspace_background-refiner.safetensors
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)
verybadimagenegative_v1.3.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/bb42f3c6e3b048988b9c6bb25c95e0c1/00000-46106962.webp
https://files.tungsten.run/uploads/4716f79f527f4f1bb944bdf237848cc3/00001-46106963.webp
https://files.tungsten.run/uploads/d25ae08a533349f4abb2c8c97a045aa8/00002-46106964.webp
https://files.tungsten.run/uploads/b7e95449062444e49c5fc690d7a57f60/00003-46106965.webp
Finished in 87.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, best quality, ultra detailed:1.4), 1girl, (mature woman:1.4), aqua hair, high contrast, cyberpunk bartender outfit; ponytail, bangs, detailed background, cyberpunk, futuristic, cocktail, bar, barmaid, window, bloom, neon lights, smug, smile, open mouth, <lora:cyberspace_background-refiner:0.8>, cyberspace_background, Full negative prompt: ((portrait)), ((focus on face)), ((more than 2 arms)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:44, 1.85s/it] 8%|▊ | 2/25 [00:03<00:44, 1.91s/it] 12%|█▏ | 3/25 [00:05<00:42, 1.93s/it] 16%|█▌ | 4/25 [00:07<00:41, 2.00s/it] 20%|██ | 5/25 [00:09<00:38, 1.92s/it] 24%|██▍ | 6/25 [00:11<00:35, 1.88s/it] 28%|██▊ | 7/25 [00:13<00:33, 1.87s/it] 32%|███▏ | 8/25 [00:15<00:31, 1.86s/it] 36%|███▌ | 9/25 [00:17<00:30, 1.89s/it] 40%|████ | 10/25 [00:18<00:27, 1.85s/it] 44%|████▍ | 11/25 [00:20<00:26, 1.88s/it] 48%|████▊ | 12/25 [00:22<00:24, 1.86s/it] 52%|█████▏ | 13/25 [00:24<00:21, 1.80s/it] 56%|█████▌ | 14/25 [00:26<00:19, 1.81s/it] 60%|██████ | 15/25 [00:27<00:17, 1.79s/it] 64%|██████▍ | 16/25 [00:29<00:16, 1.81s/it] 68%|██████▊ | 17/25 [00:31<00:14, 1.78s/it] 72%|███████▏ | 18/25 [00:33<00:12, 1.74s/it] 76%|███████▌ | 19/25 [00:34<00:10, 1.70s/it] 80%|████████ | 20/25 [00:36<00:08, 1.72s/it] 84%|████████▍ | 21/25 [00:38<00:06, 1.69s/it] 88%|████████▊ | 22/25 [00:39<00:04, 1.64s/it] 92%|█████████▏| 23/25 [00:40<00:03, 1.56s/it] 96%|█████████▌| 24/25 [00:41<00:01, 1.32s/it] 100%|██████████| 25/25 [00:42<00:00, 1.12s/it] 100%|██████████| 25/25 [00:42<00:00, 1.70s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 24.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:06, 1.73it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.08it/s] 25%|██▌ | 3/12 [00:01<00:04, 2.18it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.30it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.39it/s] 50%|█████ | 6/12 [00:02<00:02, 2.47it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.46it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.52it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.61it/s] 83%|████████▎ | 10/12 [00:04<00:00, 2.78it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.29it/s] 100%|██████████| 12/12 [00:04<00:00, 3.91it/s] 100%|██████████| 12/12 [00:04<00:00, 2.75it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.36it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.40it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.36it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.39it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.43it/s] 50%|█████ | 6/12 [00:02<00:02, 2.51it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.48it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.54it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.51it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.68it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.19it/s] 100%|██████████| 12/12 [00:04<00:00, 3.82it/s] 100%|██████████| 12/12 [00:04<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.7ms Speed: 2.6ms preprocess, 8.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.37it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.41it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.37it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.41it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.47it/s] 50%|█████ | 6/12 [00:02<00:02, 2.53it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.48it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.51it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.59it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.75it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.25it/s] 100%|██████████| 12/12 [00:04<00:00, 3.87it/s] 100%|██████████| 12/12 [00:04<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.5ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.29it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.37it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.32it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.34it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.42it/s] 50%|█████ | 6/12 [00:02<00:02, 2.50it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.46it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.52it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.61it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.76it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.27it/s] 100%|██████████| 12/12 [00:04<00:00, 3.90it/s] 100%|██████████| 12/12 [00:04<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 12.1ms Speed: 2.8ms preprocess, 12.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.36it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.41it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.38it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.39it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.42it/s] 50%|█████ | 6/12 [00:02<00:02, 2.47it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.47it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.54it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.63it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.80it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.31it/s] 100%|██████████| 12/12 [00:04<00:00, 3.92it/s] 100%|██████████| 12/12 [00:04<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.32it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.36it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.34it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.40it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.42it/s] 50%|█████ | 6/12 [00:02<00:02, 2.48it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.46it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.51it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.60it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.77it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.28it/s] 100%|██████████| 12/12 [00:04<00:00, 3.92it/s] 100%|██████████| 12/12 [00:04<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.32it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.39it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.35it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.40it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.46it/s] 50%|█████ | 6/12 [00:02<00:02, 2.53it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.50it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.54it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.61it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.78it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.28it/s] 100%|██████████| 12/12 [00:04<00:00, 3.91it/s] 100%|██████████| 12/12 [00:04<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterpiece, best quality, ultra detailed:1.4), 1girl, (mature woman:1.4), aqua hair, high contrast, cyberpunk bartender outfit; ponytail, bangs, detailed background, cyberpunk, futuristic, cocktail, bar, barmaid, window, bloom, neon lights, smug, smile, open mouth, <lora:cyberspace_background-refiner:0.8>, cyberspace_background,
negative_prompt
Specify things to not see in the output
((portrait)), ((focus on face)), ((more than 2 arms)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
46106962
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
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
25
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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>
cyberspace_background-refiner.safetensors
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)
verybadimagenegative_v1.3.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/bb42f3c6e3b048988b9c6bb25c95e0c1/00000-46106962.webp
https://files.tungsten.run/uploads/4716f79f527f4f1bb944bdf237848cc3/00001-46106963.webp
https://files.tungsten.run/uploads/d25ae08a533349f4abb2c8c97a045aa8/00002-46106964.webp
https://files.tungsten.run/uploads/b7e95449062444e49c5fc690d7a57f60/00003-46106965.webp
Finished in 87.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, best quality, ultra detailed:1.4), 1girl, (mature woman:1.4), aqua hair, high contrast, cyberpunk bartender outfit; ponytail, bangs, detailed background, cyberpunk, futuristic, cocktail, bar, barmaid, window, bloom, neon lights, smug, smile, open mouth, <lora:cyberspace_background-refiner:0.8>, cyberspace_background, Full negative prompt: ((portrait)), ((focus on face)), ((more than 2 arms)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:44, 1.85s/it] 8%|▊ | 2/25 [00:03<00:44, 1.91s/it] 12%|█▏ | 3/25 [00:05<00:42, 1.93s/it] 16%|█▌ | 4/25 [00:07<00:41, 2.00s/it] 20%|██ | 5/25 [00:09<00:38, 1.92s/it] 24%|██▍ | 6/25 [00:11<00:35, 1.88s/it] 28%|██▊ | 7/25 [00:13<00:33, 1.87s/it] 32%|███▏ | 8/25 [00:15<00:31, 1.86s/it] 36%|███▌ | 9/25 [00:17<00:30, 1.89s/it] 40%|████ | 10/25 [00:18<00:27, 1.85s/it] 44%|████▍ | 11/25 [00:20<00:26, 1.88s/it] 48%|████▊ | 12/25 [00:22<00:24, 1.86s/it] 52%|█████▏ | 13/25 [00:24<00:21, 1.80s/it] 56%|█████▌ | 14/25 [00:26<00:19, 1.81s/it] 60%|██████ | 15/25 [00:27<00:17, 1.79s/it] 64%|██████▍ | 16/25 [00:29<00:16, 1.81s/it] 68%|██████▊ | 17/25 [00:31<00:14, 1.78s/it] 72%|███████▏ | 18/25 [00:33<00:12, 1.74s/it] 76%|███████▌ | 19/25 [00:34<00:10, 1.70s/it] 80%|████████ | 20/25 [00:36<00:08, 1.72s/it] 84%|████████▍ | 21/25 [00:38<00:06, 1.69s/it] 88%|████████▊ | 22/25 [00:39<00:04, 1.64s/it] 92%|█████████▏| 23/25 [00:40<00:03, 1.56s/it] 96%|█████████▌| 24/25 [00:41<00:01, 1.32s/it] 100%|██████████| 25/25 [00:42<00:00, 1.12s/it] 100%|██████████| 25/25 [00:42<00:00, 1.70s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 24.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:06, 1.73it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.08it/s] 25%|██▌ | 3/12 [00:01<00:04, 2.18it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.30it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.39it/s] 50%|█████ | 6/12 [00:02<00:02, 2.47it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.46it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.52it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.61it/s] 83%|████████▎ | 10/12 [00:04<00:00, 2.78it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.29it/s] 100%|██████████| 12/12 [00:04<00:00, 3.91it/s] 100%|██████████| 12/12 [00:04<00:00, 2.75it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.36it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.40it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.36it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.39it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.43it/s] 50%|█████ | 6/12 [00:02<00:02, 2.51it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.48it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.54it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.51it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.68it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.19it/s] 100%|██████████| 12/12 [00:04<00:00, 3.82it/s] 100%|██████████| 12/12 [00:04<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.7ms Speed: 2.6ms preprocess, 8.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.37it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.41it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.37it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.41it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.47it/s] 50%|█████ | 6/12 [00:02<00:02, 2.53it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.48it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.51it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.59it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.75it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.25it/s] 100%|██████████| 12/12 [00:04<00:00, 3.87it/s] 100%|██████████| 12/12 [00:04<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.5ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.29it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.37it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.32it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.34it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.42it/s] 50%|█████ | 6/12 [00:02<00:02, 2.50it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.46it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.52it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.61it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.76it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.27it/s] 100%|██████████| 12/12 [00:04<00:00, 3.90it/s] 100%|██████████| 12/12 [00:04<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 12.1ms Speed: 2.8ms preprocess, 12.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.36it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.41it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.38it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.39it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.42it/s] 50%|█████ | 6/12 [00:02<00:02, 2.47it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.47it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.54it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.63it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.80it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.31it/s] 100%|██████████| 12/12 [00:04<00:00, 3.92it/s] 100%|██████████| 12/12 [00:04<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.32it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.36it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.34it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.40it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.42it/s] 50%|█████ | 6/12 [00:02<00:02, 2.48it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.46it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.51it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.60it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.77it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.28it/s] 100%|██████████| 12/12 [00:04<00:00, 3.92it/s] 100%|██████████| 12/12 [00:04<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.32it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.39it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.35it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.40it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.46it/s] 50%|█████ | 6/12 [00:02<00:02, 2.53it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.50it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.54it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.61it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.78it/s] 92%|█████████▏| 11/12 [00:04<00:00, 3.28it/s] 100%|██████████| 12/12 [00:04<00:00, 3.91it/s] 100%|██████████| 12/12 [00:04<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.