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Goddess of War with Grimlock SDXL
grimlock-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Feb 13
347
Input
prompt
Specify things to see in the output
(sfw:1.5), beautiful goddess of war, (small breasts:1.2), (revealing clothing:1), wearing revealing clothing, revealing armour, stylized high quality stylized anime digital painting, abstract dark cosmic energies, cosmic nebula, (detailed skin:1.2), Bastien L. Deharme, Carne Griffiths, Conor Harrington, tattooed body, (heavily tattoed body:1.2), (stylized:1.3), breasts barely covered by armour, (breasts:1.3), (red:1.1), anime style by jackson pollock, (dynamic pose:1.4)
negative_prompt
Specify things to not see in the output
nipples, (extra limbs:1.3), (extra arms:1.4), (extra legs:1.4), (anatomically incorrect hands:1.4), (extra fingers:1.3), (missing fingers:1.3), (nsfw:1.2)
xl_yamer_style
Xl Yamer Style
0.2
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1025
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1009017643
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 Karras
samping_steps
Number of denoising steps
64
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/ba0495d155904980b443f7ea610e4863/00000-1009017643.webp
https://files.tungsten.run/uploads/2c38cc2953c1460d9a38b63c5a35e11a/00001-1009017644.webp
https://files.tungsten.run/uploads/dbe7a868e564482b802141b58f68a0ef/00002-1009017645.webp
Finished in 129.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, (sfw:1.5), beautiful goddess of war, (small breasts:1.2), (revealing clothing:1), wearing revealing clothing, revealing armour, stylized high quality stylized anime digital painting, abstract dark cosmic energies, cosmic nebula, (detailed skin:1.2), Bastien L. Deharme, Carne Griffiths, Conor Harrington, tattooed body, (heavily tattoed body:1.2), (stylized:1.3), breasts barely covered by armour, (breasts:1.3), (red:1.1), anime style by jackson pollock, (dynamic pose:1.4), <lora:xl_yamer_style-3.0:0.2> Full negative prompt: nipples, (extra limbs:1.3), (extra arms:1.4), (extra legs:1.4), (anatomically incorrect hands:1.4), (extra fingers:1.3), (missing fingers:1.3), (nsfw:1.2) 0%| | 0/64 [00:00<?, ?it/s] 2%|▏ | 1/64 [00:02<02:26, 2.32s/it] 3%|▎ | 2/64 [00:03<01:31, 1.48s/it] 5%|▍ | 3/64 [00:04<01:13, 1.21s/it] 6%|▋ | 4/64 [00:04<01:04, 1.08s/it] 8%|▊ | 5/64 [00:05<00:59, 1.01s/it] 9%|▉ | 6/64 [00:06<00:55, 1.04it/s] 11%|█ | 7/64 [00:07<00:53, 1.07it/s] 12%|█▎ | 8/64 [00:08<00:51, 1.09it/s] 14%|█▍ | 9/64 [00:09<00:49, 1.10it/s] 16%|█▌ | 10/64 [00:10<00:48, 1.12it/s] 17%|█▋ | 11/64 [00:11<00:47, 1.12it/s] 19%|█▉ | 12/64 [00:12<00:46, 1.12it/s] 20%|██ | 13/64 [00:12<00:45, 1.13it/s] 22%|██▏ | 14/64 [00:13<00:44, 1.13it/s] 23%|██▎ | 15/64 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[00:35<00:21, 1.14it/s] 62%|██████▎ | 40/64 [00:36<00:21, 1.14it/s] 64%|██████▍ | 41/64 [00:37<00:20, 1.14it/s] 66%|██████▌ | 42/64 [00:38<00:19, 1.14it/s] 67%|██████▋ | 43/64 [00:39<00:18, 1.14it/s] 69%|██████▉ | 44/64 [00:40<00:17, 1.14it/s] 70%|███████ | 45/64 [00:40<00:16, 1.14it/s] 72%|███████▏ | 46/64 [00:41<00:15, 1.14it/s] 73%|███████▎ | 47/64 [00:42<00:14, 1.14it/s] 75%|███████▌ | 48/64 [00:43<00:14, 1.14it/s] 77%|███████▋ | 49/64 [00:44<00:13, 1.14it/s] 78%|███████▊ | 50/64 [00:45<00:12, 1.14it/s] 80%|███████▉ | 51/64 [00:46<00:11, 1.14it/s] 81%|████████▏ | 52/64 [00:47<00:10, 1.14it/s] 83%|████████▎ | 53/64 [00:47<00:09, 1.14it/s] 84%|████████▍ | 54/64 [00:48<00:08, 1.14it/s] 86%|████████▌ | 55/64 [00:49<00:07, 1.14it/s] 88%|████████▊ | 56/64 [00:50<00:07, 1.14it/s] 89%|████████▉ | 57/64 [00:51<00:06, 1.14it/s] 91%|█████████ | 58/64 [00:52<00:05, 1.14it/s] 92%|█████████▏| 59/64 [00:53<00:04, 1.14it/s] 94%|█████████▍| 60/64 [00:54<00:03, 1.14it/s] 95%|█████████▌| 61/64 [00:55<00:02, 1.14it/s] 97%|█████████▋| 62/64 [00:55<00:01, 1.14it/s] 98%|█████████▊| 63/64 [00:56<00:00, 1.14it/s] 100%|██████████| 64/64 [00:57<00:00, 1.14it/s] 100%|██████████| 64/64 [00:57<00:00, 1.11it/s] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 159.7ms Speed: 2.7ms preprocess, 159.7ms inference, 26.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:21, 1.33it/s] 7%|▋ | 2/29 [00:01<00:17, 1.51it/s] 10%|█ | 3/29 [00:01<00:16, 1.56it/s] 14%|█▍ | 4/29 [00:02<00:15, 1.59it/s] 17%|█▋ | 5/29 [00:03<00:15, 1.60it/s] 21%|██ | 6/29 [00:03<00:14, 1.62it/s] 24%|██▍ | 7/29 [00:04<00:13, 1.60it/s] 28%|██▊ | 8/29 [00:05<00:12, 1.63it/s] 31%|███ | 9/29 [00:05<00:12, 1.64it/s] 34%|███▍ | 10/29 [00:06<00:11, 1.64it/s] 38%|███▊ | 11/29 [00:06<00:10, 1.64it/s] 41%|████▏ | 12/29 [00:07<00:10, 1.63it/s] 45%|████▍ | 13/29 [00:08<00:09, 1.64it/s] 48%|████▊ | 14/29 [00:08<00:09, 1.61it/s] 52%|█████▏ | 15/29 [00:09<00:08, 1.61it/s] 55%|█████▌ | 16/29 [00:09<00:08, 1.62it/s] 59%|█████▊ | 17/29 [00:10<00:07, 1.62it/s] 62%|██████▏ | 18/29 [00:11<00:06, 1.62it/s] 66%|██████▌ | 19/29 [00:11<00:06, 1.62it/s] 69%|██████▉ | 20/29 [00:12<00:05, 1.63it/s] 72%|███████▏ | 21/29 [00:12<00:04, 1.64it/s] 76%|███████▌ | 22/29 [00:13<00:04, 1.64it/s] 79%|███████▉ | 23/29 [00:14<00:03, 1.66it/s] 83%|████████▎ | 24/29 [00:14<00:03, 1.65it/s] 86%|████████▌ | 25/29 [00:15<00:02, 1.64it/s] 90%|████████▉ | 26/29 [00:16<00:01, 1.65it/s] 93%|█████████▎| 27/29 [00:16<00:01, 1.65it/s] 97%|█████████▋| 28/29 [00:17<00:00, 1.66it/s] 100%|██████████| 29/29 [00:17<00:00, 1.64it/s] 100%|██████████| 29/29 [00:17<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.7ms Speed: 2.6ms preprocess, 8.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:17, 1.65it/s] 7%|▋ | 2/29 [00:01<00:16, 1.62it/s] 10%|█ | 3/29 [00:01<00:16, 1.61it/s] 14%|█▍ | 4/29 [00:02<00:15, 1.62it/s] 17%|█▋ | 5/29 [00:03<00:14, 1.63it/s] 21%|██ | 6/29 [00:03<00:14, 1.64it/s] 24%|██▍ | 7/29 [00:04<00:13, 1.61it/s] 28%|██▊ | 8/29 [00:04<00:12, 1.62it/s] 31%|███ | 9/29 [00:05<00:12, 1.63it/s] 34%|███▍ | 10/29 [00:06<00:11, 1.62it/s] 38%|███▊ | 11/29 [00:06<00:11, 1.63it/s] 41%|████▏ | 12/29 [00:07<00:10, 1.63it/s] 45%|████▍ | 13/29 [00:08<00:09, 1.62it/s] 48%|████▊ | 14/29 [00:08<00:09, 1.63it/s] 52%|█████▏ | 15/29 [00:09<00:08, 1.62it/s] 55%|█████▌ | 16/29 [00:09<00:07, 1.63it/s] 59%|█████▊ | 17/29 [00:10<00:07, 1.62it/s] 62%|██████▏ | 18/29 [00:11<00:06, 1.61it/s] 66%|██████▌ | 19/29 [00:11<00:06, 1.61it/s] 69%|██████▉ | 20/29 [00:12<00:05, 1.61it/s] 72%|███████▏ | 21/29 [00:12<00:04, 1.62it/s] 76%|███████▌ | 22/29 [00:13<00:04, 1.61it/s] 79%|███████▉ | 23/29 [00:14<00:03, 1.60it/s] 83%|████████▎ | 24/29 [00:14<00:03, 1.62it/s] 86%|████████▌ | 25/29 [00:15<00:02, 1.60it/s] 90%|████████▉ | 26/29 [00:16<00:01, 1.61it/s] 93%|█████████▎| 27/29 [00:16<00:01, 1.60it/s] 97%|█████████▋| 28/29 [00:17<00:00, 1.60it/s] 100%|██████████| 29/29 [00:17<00:00, 1.61it/s] 100%|██████████| 29/29 [00:17<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 2.7ms preprocess, 8.5ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:17, 1.64it/s] 7%|▋ | 2/29 [00:01<00:16, 1.66it/s] 10%|█ | 3/29 [00:01<00:15, 1.64it/s] 14%|█▍ | 4/29 [00:02<00:15, 1.64it/s] 17%|█▋ | 5/29 [00:03<00:14, 1.62it/s] 21%|██ | 6/29 [00:03<00:14, 1.61it/s] 24%|██▍ | 7/29 [00:04<00:13, 1.63it/s] 28%|██▊ | 8/29 [00:04<00:12, 1.62it/s] 31%|███ | 9/29 [00:05<00:12, 1.65it/s] 34%|███▍ | 10/29 [00:06<00:11, 1.65it/s] 38%|███▊ | 11/29 [00:06<00:11, 1.63it/s] 41%|████▏ | 12/29 [00:07<00:10, 1.61it/s] 45%|████▍ | 13/29 [00:08<00:10, 1.60it/s] 48%|████▊ | 14/29 [00:08<00:09, 1.59it/s] 52%|█████▏ | 15/29 [00:09<00:08, 1.61it/s] 55%|█████▌ | 16/29 [00:09<00:08, 1.59it/s] 59%|█████▊ | 17/29 [00:10<00:07, 1.61it/s] 62%|██████▏ | 18/29 [00:11<00:06, 1.61it/s] 66%|██████▌ | 19/29 [00:11<00:06, 1.61it/s] 69%|██████▉ | 20/29 [00:12<00:05, 1.61it/s] 72%|███████▏ | 21/29 [00:12<00:04, 1.61it/s] 76%|███████▌ | 22/29 [00:13<00:04, 1.62it/s] 79%|███████▉ | 23/29 [00:14<00:03, 1.63it/s] 83%|████████▎ | 24/29 [00:14<00:03, 1.62it/s] 86%|████████▌ | 25/29 [00:15<00:02, 1.62it/s] 90%|████████▉ | 26/29 [00:16<00:01, 1.62it/s] 93%|█████████▎| 27/29 [00:16<00:01, 1.64it/s] 97%|█████████▋| 28/29 [00:17<00:00, 1.62it/s] 100%|██████████| 29/29 [00:17<00:00, 1.62it/s] 100%|██████████| 29/29 [00:17<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(sfw:1.5), beautiful goddess of war, (small breasts:1.2), (revealing clothing:1), wearing revealing clothing, revealing armour, stylized high quality stylized anime digital painting, abstract dark cosmic energies, cosmic nebula, (detailed skin:1.2), Bastien L. Deharme, Carne Griffiths, Conor Harrington, tattooed body, (heavily tattoed body:1.2), (stylized:1.3), breasts barely covered by armour, (breasts:1.3), (red:1.1), anime style by jackson pollock, (dynamic pose:1.4)
negative_prompt
Specify things to not see in the output
nipples, (extra limbs:1.3), (extra arms:1.4), (extra legs:1.4), (anatomically incorrect hands:1.4), (extra fingers:1.3), (missing fingers:1.3), (nsfw:1.2)
xl_yamer_style
Xl Yamer Style
0.2
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1025
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1009017643
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 Karras
samping_steps
Number of denoising steps
64
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/ba0495d155904980b443f7ea610e4863/00000-1009017643.webp
https://files.tungsten.run/uploads/2c38cc2953c1460d9a38b63c5a35e11a/00001-1009017644.webp
https://files.tungsten.run/uploads/dbe7a868e564482b802141b58f68a0ef/00002-1009017645.webp
Finished in 129.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, (sfw:1.5), beautiful goddess of war, (small breasts:1.2), (revealing clothing:1), wearing revealing clothing, revealing armour, stylized high quality stylized anime digital painting, abstract dark cosmic energies, cosmic nebula, (detailed skin:1.2), Bastien L. Deharme, Carne Griffiths, Conor Harrington, tattooed body, (heavily tattoed body:1.2), (stylized:1.3), breasts barely covered by armour, (breasts:1.3), (red:1.1), anime style by jackson pollock, (dynamic pose:1.4), <lora:xl_yamer_style-3.0:0.2> Full negative prompt: nipples, (extra limbs:1.3), (extra arms:1.4), (extra legs:1.4), (anatomically incorrect hands:1.4), (extra fingers:1.3), (missing fingers:1.3), (nsfw:1.2) 0%| | 0/64 [00:00<?, ?it/s] 2%|▏ | 1/64 [00:02<02:26, 2.32s/it] 3%|▎ | 2/64 [00:03<01:31, 1.48s/it] 5%|▍ | 3/64 [00:04<01:13, 1.21s/it] 6%|▋ | 4/64 [00:04<01:04, 1.08s/it] 8%|▊ | 5/64 [00:05<00:59, 1.01s/it] 9%|▉ | 6/64 [00:06<00:55, 1.04it/s] 11%|█ | 7/64 [00:07<00:53, 1.07it/s] 12%|█▎ | 8/64 [00:08<00:51, 1.09it/s] 14%|█▍ | 9/64 [00:09<00:49, 1.10it/s] 16%|█▌ | 10/64 [00:10<00:48, 1.12it/s] 17%|█▋ | 11/64 [00:11<00:47, 1.12it/s] 19%|█▉ | 12/64 [00:12<00:46, 1.12it/s] 20%|██ | 13/64 [00:12<00:45, 1.13it/s] 22%|██▏ | 14/64 [00:13<00:44, 1.13it/s] 23%|██▎ | 15/64 [00:14<00:43, 1.13it/s] 25%|██▌ | 16/64 [00:15<00:42, 1.13it/s] 27%|██▋ | 17/64 [00:16<00:41, 1.14it/s] 28%|██▊ | 18/64 [00:17<00:40, 1.14it/s] 30%|██▉ | 19/64 [00:18<00:39, 1.14it/s] 31%|███▏ | 20/64 [00:19<00:38, 1.14it/s] 33%|███▎ | 21/64 [00:19<00:37, 1.14it/s] 34%|███▍ | 22/64 [00:20<00:36, 1.14it/s] 36%|███▌ | 23/64 [00:21<00:36, 1.14it/s] 38%|███▊ | 24/64 [00:22<00:35, 1.14it/s] 39%|███▉ | 25/64 [00:23<00:34, 1.14it/s] 41%|████ | 26/64 [00:24<00:33, 1.14it/s] 42%|████▏ | 27/64 [00:25<00:32, 1.14it/s] 44%|████▍ | 28/64 [00:26<00:31, 1.14it/s] 45%|████▌ | 29/64 [00:26<00:30, 1.14it/s] 47%|████▋ | 30/64 [00:27<00:29, 1.14it/s] 48%|████▊ | 31/64 [00:28<00:29, 1.14it/s] 50%|█████ | 32/64 [00:29<00:28, 1.14it/s] 52%|█████▏ | 33/64 [00:30<00:27, 1.14it/s] 53%|█████▎ | 34/64 [00:31<00:26, 1.14it/s] 55%|█████▍ | 35/64 [00:32<00:25, 1.14it/s] 56%|█████▋ | 36/64 [00:33<00:24, 1.14it/s] 58%|█████▊ | 37/64 [00:33<00:23, 1.14it/s] 59%|█████▉ | 38/64 [00:34<00:22, 1.14it/s] 61%|██████ | 39/64 [00:35<00:21, 1.14it/s] 62%|██████▎ | 40/64 [00:36<00:21, 1.14it/s] 64%|██████▍ | 41/64 [00:37<00:20, 1.14it/s] 66%|██████▌ | 42/64 [00:38<00:19, 1.14it/s] 67%|██████▋ | 43/64 [00:39<00:18, 1.14it/s] 69%|██████▉ | 44/64 [00:40<00:17, 1.14it/s] 70%|███████ | 45/64 [00:40<00:16, 1.14it/s] 72%|███████▏ | 46/64 [00:41<00:15, 1.14it/s] 73%|███████▎ | 47/64 [00:42<00:14, 1.14it/s] 75%|███████▌ | 48/64 [00:43<00:14, 1.14it/s] 77%|███████▋ | 49/64 [00:44<00:13, 1.14it/s] 78%|███████▊ | 50/64 [00:45<00:12, 1.14it/s] 80%|███████▉ | 51/64 [00:46<00:11, 1.14it/s] 81%|████████▏ | 52/64 [00:47<00:10, 1.14it/s] 83%|████████▎ | 53/64 [00:47<00:09, 1.14it/s] 84%|████████▍ | 54/64 [00:48<00:08, 1.14it/s] 86%|████████▌ | 55/64 [00:49<00:07, 1.14it/s] 88%|████████▊ | 56/64 [00:50<00:07, 1.14it/s] 89%|████████▉ | 57/64 [00:51<00:06, 1.14it/s] 91%|█████████ | 58/64 [00:52<00:05, 1.14it/s] 92%|█████████▏| 59/64 [00:53<00:04, 1.14it/s] 94%|█████████▍| 60/64 [00:54<00:03, 1.14it/s] 95%|█████████▌| 61/64 [00:55<00:02, 1.14it/s] 97%|█████████▋| 62/64 [00:55<00:01, 1.14it/s] 98%|█████████▊| 63/64 [00:56<00:00, 1.14it/s] 100%|██████████| 64/64 [00:57<00:00, 1.14it/s] 100%|██████████| 64/64 [00:57<00:00, 1.11it/s] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 159.7ms Speed: 2.7ms preprocess, 159.7ms inference, 26.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:21, 1.33it/s] 7%|▋ | 2/29 [00:01<00:17, 1.51it/s] 10%|█ | 3/29 [00:01<00:16, 1.56it/s] 14%|█▍ | 4/29 [00:02<00:15, 1.59it/s] 17%|█▋ | 5/29 [00:03<00:15, 1.60it/s] 21%|██ | 6/29 [00:03<00:14, 1.62it/s] 24%|██▍ | 7/29 [00:04<00:13, 1.60it/s] 28%|██▊ | 8/29 [00:05<00:12, 1.63it/s] 31%|███ | 9/29 [00:05<00:12, 1.64it/s] 34%|███▍ | 10/29 [00:06<00:11, 1.64it/s] 38%|███▊ | 11/29 [00:06<00:10, 1.64it/s] 41%|████▏ | 12/29 [00:07<00:10, 1.63it/s] 45%|████▍ | 13/29 [00:08<00:09, 1.64it/s] 48%|████▊ | 14/29 [00:08<00:09, 1.61it/s] 52%|█████▏ | 15/29 [00:09<00:08, 1.61it/s] 55%|█████▌ | 16/29 [00:09<00:08, 1.62it/s] 59%|█████▊ | 17/29 [00:10<00:07, 1.62it/s] 62%|██████▏ | 18/29 [00:11<00:06, 1.62it/s] 66%|██████▌ | 19/29 [00:11<00:06, 1.62it/s] 69%|██████▉ | 20/29 [00:12<00:05, 1.63it/s] 72%|███████▏ | 21/29 [00:12<00:04, 1.64it/s] 76%|███████▌ | 22/29 [00:13<00:04, 1.64it/s] 79%|███████▉ | 23/29 [00:14<00:03, 1.66it/s] 83%|████████▎ | 24/29 [00:14<00:03, 1.65it/s] 86%|████████▌ | 25/29 [00:15<00:02, 1.64it/s] 90%|████████▉ | 26/29 [00:16<00:01, 1.65it/s] 93%|█████████▎| 27/29 [00:16<00:01, 1.65it/s] 97%|█████████▋| 28/29 [00:17<00:00, 1.66it/s] 100%|██████████| 29/29 [00:17<00:00, 1.64it/s] 100%|██████████| 29/29 [00:17<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.7ms Speed: 2.6ms preprocess, 8.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:17, 1.65it/s] 7%|▋ | 2/29 [00:01<00:16, 1.62it/s] 10%|█ | 3/29 [00:01<00:16, 1.61it/s] 14%|█▍ | 4/29 [00:02<00:15, 1.62it/s] 17%|█▋ | 5/29 [00:03<00:14, 1.63it/s] 21%|██ | 6/29 [00:03<00:14, 1.64it/s] 24%|██▍ | 7/29 [00:04<00:13, 1.61it/s] 28%|██▊ | 8/29 [00:04<00:12, 1.62it/s] 31%|███ | 9/29 [00:05<00:12, 1.63it/s] 34%|███▍ | 10/29 [00:06<00:11, 1.62it/s] 38%|███▊ | 11/29 [00:06<00:11, 1.63it/s] 41%|████▏ | 12/29 [00:07<00:10, 1.63it/s] 45%|████▍ | 13/29 [00:08<00:09, 1.62it/s] 48%|████▊ | 14/29 [00:08<00:09, 1.63it/s] 52%|█████▏ | 15/29 [00:09<00:08, 1.62it/s] 55%|█████▌ | 16/29 [00:09<00:07, 1.63it/s] 59%|█████▊ | 17/29 [00:10<00:07, 1.62it/s] 62%|██████▏ | 18/29 [00:11<00:06, 1.61it/s] 66%|██████▌ | 19/29 [00:11<00:06, 1.61it/s] 69%|██████▉ | 20/29 [00:12<00:05, 1.61it/s] 72%|███████▏ | 21/29 [00:12<00:04, 1.62it/s] 76%|███████▌ | 22/29 [00:13<00:04, 1.61it/s] 79%|███████▉ | 23/29 [00:14<00:03, 1.60it/s] 83%|████████▎ | 24/29 [00:14<00:03, 1.62it/s] 86%|████████▌ | 25/29 [00:15<00:02, 1.60it/s] 90%|████████▉ | 26/29 [00:16<00:01, 1.61it/s] 93%|█████████▎| 27/29 [00:16<00:01, 1.60it/s] 97%|█████████▋| 28/29 [00:17<00:00, 1.60it/s] 100%|██████████| 29/29 [00:17<00:00, 1.61it/s] 100%|██████████| 29/29 [00:17<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 2.7ms preprocess, 8.5ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:00<00:17, 1.64it/s] 7%|▋ | 2/29 [00:01<00:16, 1.66it/s] 10%|█ | 3/29 [00:01<00:15, 1.64it/s] 14%|█▍ | 4/29 [00:02<00:15, 1.64it/s] 17%|█▋ | 5/29 [00:03<00:14, 1.62it/s] 21%|██ | 6/29 [00:03<00:14, 1.61it/s] 24%|██▍ | 7/29 [00:04<00:13, 1.63it/s] 28%|██▊ | 8/29 [00:04<00:12, 1.62it/s] 31%|███ | 9/29 [00:05<00:12, 1.65it/s] 34%|███▍ | 10/29 [00:06<00:11, 1.65it/s] 38%|███▊ | 11/29 [00:06<00:11, 1.63it/s] 41%|████▏ | 12/29 [00:07<00:10, 1.61it/s] 45%|████▍ | 13/29 [00:08<00:10, 1.60it/s] 48%|████▊ | 14/29 [00:08<00:09, 1.59it/s] 52%|█████▏ | 15/29 [00:09<00:08, 1.61it/s] 55%|█████▌ | 16/29 [00:09<00:08, 1.59it/s] 59%|█████▊ | 17/29 [00:10<00:07, 1.61it/s] 62%|██████▏ | 18/29 [00:11<00:06, 1.61it/s] 66%|██████▌ | 19/29 [00:11<00:06, 1.61it/s] 69%|██████▉ | 20/29 [00:12<00:05, 1.61it/s] 72%|███████▏ | 21/29 [00:12<00:04, 1.61it/s] 76%|███████▌ | 22/29 [00:13<00:04, 1.62it/s] 79%|███████▉ | 23/29 [00:14<00:03, 1.63it/s] 83%|████████▎ | 24/29 [00:14<00:03, 1.62it/s] 86%|████████▌ | 25/29 [00:15<00:02, 1.62it/s] 90%|████████▉ | 26/29 [00:16<00:01, 1.62it/s] 93%|█████████▎| 27/29 [00:16<00:01, 1.64it/s] 97%|█████████▋| 28/29 [00:17<00:00, 1.62it/s] 100%|██████████| 29/29 [00:17<00:00, 1.62it/s] 100%|██████████| 29/29 [00:17<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.