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Cute Hawaians with Grimlock SDXL
grimlock-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Feb 13
362
Input
prompt
Specify things to see in the output
SFW. In the shade of the swaying coconut trees, a sensual Tahitian beauty adorns the beach, colorful bikini top, a colorful pareo as a wrap skirt. One tiare flower in her hair. The golden sun caresses the curves of her figure, casting an enchanting glow on the sand. In this moment captured by the lens, the allure of the tropics converges with its captivating presence, creating a scene where the rhythm of the waves echoes the heartbeat of an island paradise. highly detailed, high quality photography, 3 point lighting, flash with softbox, 4k, Leica M6, Ektachrome 64, smooth, sharp focus, high resolution, award winning photo, 50mm, f2.8, depth of field
negative_prompt
Specify things to not see in the output
nsfw, nipples, ac_neg1, worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, extra fingers, multiple limbs, extra limbs, deformed limbs, cartoon, rendering, 3d, painting, drawings
xl_yamer_style
Xl Yamer Style
0
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.
3883610029
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++ 3M SDE Karras
samping_steps
Number of denoising steps
52
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
1
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)
ac_neg1.safetensors
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/d84939b929b0495f8b2b3e23e6216193/00000-3883610029.webp
https://files.tungsten.run/uploads/e7088e9cc74e4e02bf3248ba444bfea1/00001-3883610030.webp
https://files.tungsten.run/uploads/a4e7406598e24ed8aff86d06514e42e8/00002-3883610031.webp
Finished in 172.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, SFW. In the shade of the swaying coconut trees, a sensual Tahitian beauty adorns the beach, colorful bikini top, a colorful pareo as a wrap skirt. One tiare flower in her hair. The golden sun caresses the curves of her figure, casting an enchanting glow on the sand. In this moment captured by the lens, the allure of the tropics converges with its captivating presence, creating a scene where the rhythm of the waves echoes the heartbeat of an island paradise. highly detailed, high quality photography, 3 point lighting, flash with softbox, 4k, Leica M6, Ektachrome 64, smooth, sharp focus, high resolution, award winning photo, 50mm, f2.8, depth of field Full negative prompt: nsfw, nipples, ac_neg1, worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, extra fingers, multiple limbs, extra limbs, deformed limbs, cartoon, rendering, 3d, painting, drawings 0%| | 0/52 [00:00<?, ?it/s] 2%|▏ | 1/52 [00:01<01:15, 1.49s/it] 4%|▍ | 2/52 [00:03<01:23, 1.67s/it] 6%|▌ | 3/52 [00:05<01:31, 1.87s/it] 8%|▊ | 4/52 [00:07<01:30, 1.90s/it] 10%|▉ | 5/52 [00:09<01:31, 1.96s/it] 12%|█▏ | 6/52 [00:11<01:30, 1.97s/it] 13%|█▎ | 7/52 [00:13<01:27, 1.93s/it] 15%|█▌ | 8/52 [00:15<01:23, 1.90s/it] 17%|█▋ | 9/52 [00:17<01:24, 1.96s/it] 19%|█▉ | 10/52 [00:19<01:21, 1.93s/it] 21%|██ | 11/52 [00:20<01:17, 1.88s/it] 23%|██▎ | 12/52 [00:22<01:16, 1.92s/it] 25%|██▌ | 13/52 [00:24<01:13, 1.90s/it] 27%|██▋ | 14/52 [00:26<01:12, 1.91s/it] 29%|██▉ | 15/52 [00:28<01:09, 1.89s/it] 31%|███ | 16/52 [00:30<01:08, 1.91s/it] 33%|███▎ | 17/52 [00:32<01:06, 1.91s/it] 35%|███▍ | 18/52 [00:34<01:05, 1.92s/it] 37%|███▋ | 19/52 [00:36<01:04, 1.95s/it] 38%|███▊ | 20/52 [00:38<01:01, 1.93s/it] 40%|████ | 21/52 [00:40<00:59, 1.93s/it] 42%|████▏ | 22/52 [00:41<00:56, 1.88s/it] 44%|████▍ | 23/52 [00:43<00:54, 1.89s/it] 46%|████▌ | 24/52 [00:45<00:53, 1.91s/it] 48%|████▊ | 25/52 [00:47<00:49, 1.83s/it] 50%|█████ | 26/52 [00:49<00:48, 1.86s/it] 52%|█████▏ | 27/52 [00:51<00:45, 1.82s/it] 54%|█████▍ | 28/52 [00:52<00:43, 1.82s/it] 56%|█████▌ | 29/52 [00:54<00:41, 1.82s/it] 58%|█████▊ | 30/52 [00:56<00:39, 1.79s/it] 60%|█████▉ | 31/52 [00:58<00:37, 1.78s/it] 62%|██████▏ | 32/52 [00:59<00:35, 1.77s/it] 63%|██████▎ | 33/52 [01:01<00:34, 1.79s/it] 65%|██████▌ | 34/52 [01:03<00:32, 1.81s/it] 67%|██████▋ | 35/52 [01:05<00:30, 1.80s/it] 69%|██████▉ | 36/52 [01:07<00:29, 1.82s/it] 71%|███████ | 37/52 [01:08<00:27, 1.80s/it] 73%|███████▎ | 38/52 [01:10<00:25, 1.80s/it] 75%|███████▌ | 39/52 [01:12<00:23, 1.77s/it] 77%|███████▋ | 40/52 [01:14<00:20, 1.71s/it] 79%|███████▉ | 41/52 [01:15<00:19, 1.74s/it] 81%|████████ | 42/52 [01:17<00:16, 1.70s/it] 83%|████████▎ | 43/52 [01:19<00:15, 1.78s/it] 85%|████████▍ | 44/52 [01:21<00:13, 1.74s/it] 87%|████████▋ | 45/52 [01:22<00:12, 1.72s/it] 88%|████████▊ | 46/52 [01:24<00:10, 1.74s/it] 90%|█████████ | 47/52 [01:26<00:08, 1.72s/it] 92%|█████████▏| 48/52 [01:27<00:06, 1.71s/it] 94%|█████████▍| 49/52 [01:29<00:04, 1.64s/it] 96%|█████████▌| 50/52 [01:31<00:03, 1.71s/it] 98%|█████████▊| 51/52 [01:32<00:01, 1.52s/it] 100%|██████████| 52/52 [01:33<00:00, 1.32s/it] 100%|██████████| 52/52 [01:33<00:00, 1.79s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 165.7ms Speed: 2.9ms preprocess, 165.7ms inference, 24.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:25, 1.13s/it] 8%|▊ | 2/24 [00:02<00:22, 1.03s/it] 12%|█▎ | 3/24 [00:03<00:20, 1.01it/s] 17%|█▋ | 4/24 [00:03<00:19, 1.04it/s] 21%|██ | 5/24 [00:04<00:18, 1.03it/s] 25%|██▌ | 6/24 [00:05<00:17, 1.04it/s] 29%|██▉ | 7/24 [00:06<00:16, 1.04it/s] 33%|███▎ | 8/24 [00:07<00:15, 1.03it/s] 38%|███▊ | 9/24 [00:08<00:14, 1.03it/s] 42%|████▏ | 10/24 [00:09<00:13, 1.04it/s] 46%|████▌ | 11/24 [00:10<00:12, 1.06it/s] 50%|█████ | 12/24 [00:11<00:10, 1.09it/s] 54%|█████▍ | 13/24 [00:12<00:10, 1.08it/s] 58%|█████▊ | 14/24 [00:13<00:09, 1.09it/s] 62%|██████▎ | 15/24 [00:14<00:08, 1.07it/s] 67%|██████▋ | 16/24 [00:15<00:07, 1.09it/s] 71%|███████ | 17/24 [00:16<00:06, 1.10it/s] 75%|███████▌ | 18/24 [00:17<00:05, 1.08it/s] 79%|███████▉ | 19/24 [00:17<00:04, 1.08it/s] 83%|████████▎ | 20/24 [00:18<00:03, 1.08it/s] 88%|████████▊ | 21/24 [00:19<00:02, 1.12it/s] 92%|█████████▏| 22/24 [00:20<00:01, 1.09it/s] 96%|█████████▌| 23/24 [00:21<00:00, 1.19it/s] 100%|██████████| 24/24 [00:21<00:00, 1.30it/s] 100%|██████████| 24/24 [00:21<00:00, 1.09it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.5ms preprocess, 8.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:21, 1.07it/s] 8%|▊ | 2/24 [00:01<00:20, 1.10it/s] 12%|█▎ | 3/24 [00:02<00:19, 1.10it/s] 17%|█▋ | 4/24 [00:03<00:17, 1.11it/s] 21%|██ | 5/24 [00:04<00:17, 1.08it/s] 25%|██▌ | 6/24 [00:05<00:16, 1.08it/s] 29%|██▉ | 7/24 [00:06<00:15, 1.08it/s] 33%|███▎ | 8/24 [00:07<00:14, 1.07it/s] 38%|███▊ | 9/24 [00:08<00:13, 1.07it/s] 42%|████▏ | 10/24 [00:09<00:13, 1.07it/s] 46%|████▌ | 11/24 [00:10<00:11, 1.09it/s] 50%|█████ | 12/24 [00:10<00:10, 1.12it/s] 54%|█████▍ | 13/24 [00:11<00:09, 1.11it/s] 58%|█████▊ | 14/24 [00:12<00:08, 1.13it/s] 62%|██████▎ | 15/24 [00:13<00:08, 1.07it/s] 67%|██████▋ | 16/24 [00:14<00:07, 1.08it/s] 71%|███████ | 17/24 [00:15<00:06, 1.10it/s] 75%|███████▌ | 18/24 [00:16<00:05, 1.10it/s] 79%|███████▉ | 19/24 [00:17<00:04, 1.10it/s] 83%|████████▎ | 20/24 [00:18<00:03, 1.11it/s] 88%|████████▊ | 21/24 [00:19<00:02, 1.15it/s] 92%|█████████▏| 22/24 [00:20<00:01, 1.12it/s] 96%|█████████▌| 23/24 [00:20<00:00, 1.20it/s] 100%|██████████| 24/24 [00:21<00:00, 1.30it/s] 100%|██████████| 24/24 [00:21<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 2.7ms preprocess, 8.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:21, 1.06it/s] 8%|▊ | 2/24 [00:01<00:20, 1.08it/s] 12%|█▎ | 3/24 [00:02<00:19, 1.10it/s] 17%|█▋ | 4/24 [00:03<00:18, 1.11it/s] 21%|██ | 5/24 [00:04<00:17, 1.08it/s] 25%|██▌ | 6/24 [00:05<00:16, 1.08it/s] 29%|██▉ | 7/24 [00:06<00:15, 1.09it/s] 33%|███▎ | 8/24 [00:07<00:14, 1.08it/s] 38%|███▊ | 9/24 [00:08<00:13, 1.09it/s] 42%|████▏ | 10/24 [00:09<00:12, 1.08it/s] 46%|████▌ | 11/24 [00:10<00:11, 1.09it/s] 50%|█████ | 12/24 [00:10<00:10, 1.12it/s] 54%|█████▍ | 13/24 [00:11<00:09, 1.10it/s] 58%|█████▊ | 14/24 [00:12<00:08, 1.13it/s] 62%|██████▎ | 15/24 [00:13<00:08, 1.10it/s] 67%|██████▋ | 16/24 [00:14<00:07, 1.11it/s] 71%|███████ | 17/24 [00:15<00:06, 1.12it/s] 75%|███████▌ | 18/24 [00:16<00:05, 1.12it/s] 79%|███████▉ | 19/24 [00:17<00:04, 1.13it/s] 83%|████████▎ | 20/24 [00:18<00:03, 1.12it/s] 88%|████████▊ | 21/24 [00:18<00:02, 1.14it/s] 92%|█████████▏| 22/24 [00:19<00:01, 1.10it/s] 96%|█████████▌| 23/24 [00:20<00:00, 1.19it/s] 100%|██████████| 24/24 [00:21<00:00, 1.30it/s] 100%|██████████| 24/24 [00:21<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
SFW. In the shade of the swaying coconut trees, a sensual Tahitian beauty adorns the beach, colorful bikini top, a colorful pareo as a wrap skirt. One tiare flower in her hair. The golden sun caresses the curves of her figure, casting an enchanting glow on the sand. In this moment captured by the lens, the allure of the tropics converges with its captivating presence, creating a scene where the rhythm of the waves echoes the heartbeat of an island paradise. highly detailed, high quality photography, 3 point lighting, flash with softbox, 4k, Leica M6, Ektachrome 64, smooth, sharp focus, high resolution, award winning photo, 50mm, f2.8, depth of field
negative_prompt
Specify things to not see in the output
nsfw, nipples, ac_neg1, worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, extra fingers, multiple limbs, extra limbs, deformed limbs, cartoon, rendering, 3d, painting, drawings
xl_yamer_style
Xl Yamer Style
0
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.
3883610029
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++ 3M SDE Karras
samping_steps
Number of denoising steps
52
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
1
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)
ac_neg1.safetensors
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/d84939b929b0495f8b2b3e23e6216193/00000-3883610029.webp
https://files.tungsten.run/uploads/e7088e9cc74e4e02bf3248ba444bfea1/00001-3883610030.webp
https://files.tungsten.run/uploads/a4e7406598e24ed8aff86d06514e42e8/00002-3883610031.webp
Finished in 172.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, SFW. In the shade of the swaying coconut trees, a sensual Tahitian beauty adorns the beach, colorful bikini top, a colorful pareo as a wrap skirt. One tiare flower in her hair. The golden sun caresses the curves of her figure, casting an enchanting glow on the sand. In this moment captured by the lens, the allure of the tropics converges with its captivating presence, creating a scene where the rhythm of the waves echoes the heartbeat of an island paradise. highly detailed, high quality photography, 3 point lighting, flash with softbox, 4k, Leica M6, Ektachrome 64, smooth, sharp focus, high resolution, award winning photo, 50mm, f2.8, depth of field Full negative prompt: nsfw, nipples, ac_neg1, worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, extra fingers, multiple limbs, extra limbs, deformed limbs, cartoon, rendering, 3d, painting, drawings 0%| | 0/52 [00:00<?, ?it/s] 2%|▏ | 1/52 [00:01<01:15, 1.49s/it] 4%|▍ | 2/52 [00:03<01:23, 1.67s/it] 6%|▌ | 3/52 [00:05<01:31, 1.87s/it] 8%|▊ | 4/52 [00:07<01:30, 1.90s/it] 10%|▉ | 5/52 [00:09<01:31, 1.96s/it] 12%|█▏ | 6/52 [00:11<01:30, 1.97s/it] 13%|█▎ | 7/52 [00:13<01:27, 1.93s/it] 15%|█▌ | 8/52 [00:15<01:23, 1.90s/it] 17%|█▋ | 9/52 [00:17<01:24, 1.96s/it] 19%|█▉ | 10/52 [00:19<01:21, 1.93s/it] 21%|██ | 11/52 [00:20<01:17, 1.88s/it] 23%|██▎ | 12/52 [00:22<01:16, 1.92s/it] 25%|██▌ | 13/52 [00:24<01:13, 1.90s/it] 27%|██▋ | 14/52 [00:26<01:12, 1.91s/it] 29%|██▉ | 15/52 [00:28<01:09, 1.89s/it] 31%|███ | 16/52 [00:30<01:08, 1.91s/it] 33%|███▎ | 17/52 [00:32<01:06, 1.91s/it] 35%|███▍ | 18/52 [00:34<01:05, 1.92s/it] 37%|███▋ | 19/52 [00:36<01:04, 1.95s/it] 38%|███▊ | 20/52 [00:38<01:01, 1.93s/it] 40%|████ | 21/52 [00:40<00:59, 1.93s/it] 42%|████▏ | 22/52 [00:41<00:56, 1.88s/it] 44%|████▍ | 23/52 [00:43<00:54, 1.89s/it] 46%|████▌ | 24/52 [00:45<00:53, 1.91s/it] 48%|████▊ | 25/52 [00:47<00:49, 1.83s/it] 50%|█████ | 26/52 [00:49<00:48, 1.86s/it] 52%|█████▏ | 27/52 [00:51<00:45, 1.82s/it] 54%|█████▍ | 28/52 [00:52<00:43, 1.82s/it] 56%|█████▌ | 29/52 [00:54<00:41, 1.82s/it] 58%|█████▊ | 30/52 [00:56<00:39, 1.79s/it] 60%|█████▉ | 31/52 [00:58<00:37, 1.78s/it] 62%|██████▏ | 32/52 [00:59<00:35, 1.77s/it] 63%|██████▎ | 33/52 [01:01<00:34, 1.79s/it] 65%|██████▌ | 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165.7ms Speed: 2.9ms preprocess, 165.7ms inference, 24.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:25, 1.13s/it] 8%|▊ | 2/24 [00:02<00:22, 1.03s/it] 12%|█▎ | 3/24 [00:03<00:20, 1.01it/s] 17%|█▋ | 4/24 [00:03<00:19, 1.04it/s] 21%|██ | 5/24 [00:04<00:18, 1.03it/s] 25%|██▌ | 6/24 [00:05<00:17, 1.04it/s] 29%|██▉ | 7/24 [00:06<00:16, 1.04it/s] 33%|███▎ | 8/24 [00:07<00:15, 1.03it/s] 38%|███▊ | 9/24 [00:08<00:14, 1.03it/s] 42%|████▏ | 10/24 [00:09<00:13, 1.04it/s] 46%|████▌ | 11/24 [00:10<00:12, 1.06it/s] 50%|█████ | 12/24 [00:11<00:10, 1.09it/s] 54%|█████▍ | 13/24 [00:12<00:10, 1.08it/s] 58%|█████▊ | 14/24 [00:13<00:09, 1.09it/s] 62%|██████▎ | 15/24 [00:14<00:08, 1.07it/s] 67%|██████▋ | 16/24 [00:15<00:07, 1.09it/s] 71%|███████ | 17/24 [00:16<00:06, 1.10it/s] 75%|███████▌ | 18/24 [00:17<00:05, 1.08it/s] 79%|███████▉ | 19/24 [00:17<00:04, 1.08it/s] 83%|████████▎ | 20/24 [00:18<00:03, 1.08it/s] 88%|████████▊ | 21/24 [00:19<00:02, 1.12it/s] 92%|█████████▏| 22/24 [00:20<00:01, 1.09it/s] 96%|█████████▌| 23/24 [00:21<00:00, 1.19it/s] 100%|██████████| 24/24 [00:21<00:00, 1.30it/s] 100%|██████████| 24/24 [00:21<00:00, 1.09it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.5ms preprocess, 8.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:21, 1.07it/s] 8%|▊ | 2/24 [00:01<00:20, 1.10it/s] 12%|█▎ | 3/24 [00:02<00:19, 1.10it/s] 17%|█▋ | 4/24 [00:03<00:17, 1.11it/s] 21%|██ | 5/24 [00:04<00:17, 1.08it/s] 25%|██▌ | 6/24 [00:05<00:16, 1.08it/s] 29%|██▉ | 7/24 [00:06<00:15, 1.08it/s] 33%|███▎ | 8/24 [00:07<00:14, 1.07it/s] 38%|███▊ | 9/24 [00:08<00:13, 1.07it/s] 42%|████▏ | 10/24 [00:09<00:13, 1.07it/s] 46%|████▌ | 11/24 [00:10<00:11, 1.09it/s] 50%|█████ | 12/24 [00:10<00:10, 1.12it/s] 54%|█████▍ | 13/24 [00:11<00:09, 1.11it/s] 58%|█████▊ | 14/24 [00:12<00:08, 1.13it/s] 62%|██████▎ | 15/24 [00:13<00:08, 1.07it/s] 67%|██████▋ | 16/24 [00:14<00:07, 1.08it/s] 71%|███████ | 17/24 [00:15<00:06, 1.10it/s] 75%|███████▌ | 18/24 [00:16<00:05, 1.10it/s] 79%|███████▉ | 19/24 [00:17<00:04, 1.10it/s] 83%|████████▎ | 20/24 [00:18<00:03, 1.11it/s] 88%|████████▊ | 21/24 [00:19<00:02, 1.15it/s] 92%|█████████▏| 22/24 [00:20<00:01, 1.12it/s] 96%|█████████▌| 23/24 [00:20<00:00, 1.20it/s] 100%|██████████| 24/24 [00:21<00:00, 1.30it/s] 100%|██████████| 24/24 [00:21<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 2.7ms preprocess, 8.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:21, 1.06it/s] 8%|▊ | 2/24 [00:01<00:20, 1.08it/s] 12%|█▎ | 3/24 [00:02<00:19, 1.10it/s] 17%|█▋ | 4/24 [00:03<00:18, 1.11it/s] 21%|██ | 5/24 [00:04<00:17, 1.08it/s] 25%|██▌ | 6/24 [00:05<00:16, 1.08it/s] 29%|██▉ | 7/24 [00:06<00:15, 1.09it/s] 33%|███▎ | 8/24 [00:07<00:14, 1.08it/s] 38%|███▊ | 9/24 [00:08<00:13, 1.09it/s] 42%|████▏ | 10/24 [00:09<00:12, 1.08it/s] 46%|████▌ | 11/24 [00:10<00:11, 1.09it/s] 50%|█████ | 12/24 [00:10<00:10, 1.12it/s] 54%|█████▍ | 13/24 [00:11<00:09, 1.10it/s] 58%|█████▊ | 14/24 [00:12<00:08, 1.13it/s] 62%|██████▎ | 15/24 [00:13<00:08, 1.10it/s] 67%|██████▋ | 16/24 [00:14<00:07, 1.11it/s] 71%|███████ | 17/24 [00:15<00:06, 1.12it/s] 75%|███████▌ | 18/24 [00:16<00:05, 1.12it/s] 79%|███████▉ | 19/24 [00:17<00:04, 1.13it/s] 83%|████████▎ | 20/24 [00:18<00:03, 1.12it/s] 88%|████████▊ | 21/24 [00:18<00:02, 1.14it/s] 92%|█████████▏| 22/24 [00:19<00:01, 1.10it/s] 96%|█████████▌| 23/24 [00:20<00:00, 1.19it/s] 100%|██████████| 24/24 [00:21<00:00, 1.30it/s] 100%|██████████| 24/24 [00:21<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s Uploading outputs... Finished.