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Goth Rocker with Hello World SDXL
hello-world-sdxl:v3.2
evevalentine2017
evevalentine2017
·
Jan 26
378
Input
prompt
Specify things to see in the output
(horror \(theme\)), Gothic darkness makeup, realistic, death, (best quality), ((masterpiece)), (highres), illustration, original, extremely detailed, 1 girl, solo, jewelry, long hair, red eyes, necklace, red hair, skull, jacket, white background, fur trim, upper body, wristband, simple background, <lora:SDXL Detail:1>
negative_prompt
Specify things to not see in the output
(worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark,
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2323292343
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
Restart
samping_steps
Number of denoising steps
33
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
SDXL Detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/d3e5f392ee604830a007d98da7592a1d/00000-2323292343.webp
https://files.tungsten.run/uploads/459d83a07dda453984757faf04866e0d/00001-2323292344.webp
https://files.tungsten.run/uploads/e841588f09dc410586f21cfefd578e67/00002-2323292345.webp
Finished in 177.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (horror \(theme\)), Gothic darkness makeup, realistic, death, (best quality), ((masterpiece)), (highres), illustration, original, extremely detailed, 1 girl, solo, jewelry, long hair, red eyes, necklace, red hair, skull, jacket, white background, fur trim, upper body, wristband, simple background, <lora:SDXL Detail:1> Full negative prompt: (worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark, 0%| | 0/33 [00:00<?, ?it/s] 3%|▎ | 1/33 [00:03<02:04, 3.89s/it] 6%|▌ | 2/33 [00:06<01:40, 3.23s/it] 9%|▉ | 3/33 [00:09<01:30, 3.02s/it] 12%|█▏ | 4/33 [00:12<01:24, 2.92s/it] 15%|█▌ | 5/33 [00:14<01:20, 2.87s/it] 18%|█▊ | 6/33 [00:17<01:16, 2.84s/it] 21%|██ | 7/33 [00:20<01:13, 2.81s/it] 24%|██▍ | 8/33 [00:23<01:09, 2.80s/it] 27%|██▋ | 9/33 [00:26<01:06, 2.79s/it] 30%|███ | 10/33 [00:28<01:03, 2.78s/it] 33%|███▎ | 11/33 [00:31<01:01, 2.78s/it] 36%|███▋ | 12/33 [00:34<00:58, 2.77s/it] 39%|███▉ | 13/33 [00:37<00:55, 2.77s/it] 42%|████▏ | 14/33 [00:39<00:52, 2.76s/it] 45%|████▌ | 15/33 [00:42<00:49, 2.76s/it] 48%|████▊ | 16/33 [00:45<00:46, 2.76s/it] 52%|█████▏ | 17/33 [00:48<00:44, 2.76s/it] 55%|█████▍ | 18/33 [00:50<00:41, 2.76s/it] 58%|█████▊ | 19/33 [00:53<00:38, 2.77s/it] 61%|██████ | 20/33 [00:56<00:35, 2.77s/it] 64%|██████▎ | 21/33 [00:59<00:33, 2.78s/it] 67%|██████▋ | 22/33 [01:02<00:30, 2.78s/it] 70%|██████▉ | 23/33 [01:04<00:27, 2.78s/it] 73%|███████▎ | 24/33 [01:07<00:25, 2.78s/it] 76%|███████▌ | 25/33 [01:10<00:22, 2.78s/it] 79%|███████▉ | 26/33 [01:13<00:19, 2.78s/it] 82%|████████▏ | 27/33 [01:15<00:16, 2.79s/it] 85%|████████▍ | 28/33 [01:18<00:13, 2.79s/it] 88%|████████▊ | 29/33 [01:21<00:11, 2.79s/it] 91%|█████████ | 30/33 [01:24<00:08, 2.79s/it] 94%|█████████▍| 31/33 [01:27<00:05, 2.79s/it] 97%|█████████▋| 32/33 [01:29<00:02, 2.79s/it] 100%|██████████| 33/33 [01:31<00:00, 2.38s/it] 100%|██████████| 33/33 [01:31<00:00, 2.77s/it] Decoding latents in cuda:0... done in 2.45s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.7ms Speed: 3.4ms preprocess, 7.7ms inference, 30.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:12, 1.13it/s] 13%|█▎ | 2/15 [00:01<00:11, 1.17it/s] 20%|██ | 3/15 [00:02<00:10, 1.18it/s] 27%|██▋ | 4/15 [00:03<00:09, 1.18it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.18it/s] 40%|████ | 6/15 [00:05<00:07, 1.19it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.19it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.19it/s] 60%|██████ | 9/15 [00:07<00:05, 1.19it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.19it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.19it/s] 80%|████████ | 12/15 [00:10<00:02, 1.19it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.18it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.18it/s] 100%|██████████| 15/15 [00:12<00:00, 1.39it/s] 100%|██████████| 15/15 [00:12<00:00, 1.22it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 3.2ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.23it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.20it/s] 20%|██ | 3/15 [00:02<00:10, 1.18it/s] 27%|██▋ | 4/15 [00:03<00:09, 1.18it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.18it/s] 40%|████ | 6/15 [00:05<00:07, 1.18it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.18it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.17it/s] 60%|██████ | 9/15 [00:07<00:05, 1.17it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.17it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.17it/s] 80%|████████ | 12/15 [00:10<00:02, 1.17it/s] 87%|████████▋ | 13/15 [00:11<00:01, 1.17it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.17it/s] 100%|██████████| 15/15 [00:12<00:00, 1.38it/s] 100%|██████████| 15/15 [00:12<00:00, 1.22it/s] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.5ms Speed: 3.3ms preprocess, 8.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.23it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.20it/s] 20%|██ | 3/15 [00:02<00:10, 1.18it/s] 27%|██▋ | 4/15 [00:03<00:09, 1.18it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.18it/s] 40%|████ | 6/15 [00:05<00:07, 1.18it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.18it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.18it/s] 60%|██████ | 9/15 [00:07<00:05, 1.18it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.18it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.18it/s] 80%|████████ | 12/15 [00:10<00:02, 1.18it/s] 87%|████████▋ | 13/15 [00:11<00:01, 1.18it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.18it/s] 100%|██████████| 15/15 [00:12<00:00, 1.39it/s] 100%|██████████| 15/15 [00:12<00:00, 1.22it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.24it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.20it/s] 20%|██ | 3/15 [00:02<00:10, 1.19it/s] 27%|██▋ | 4/15 [00:03<00:09, 1.19it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.18it/s] 40%|████ | 6/15 [00:05<00:07, 1.18it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.18it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.18it/s] 60%|██████ | 9/15 [00:07<00:05, 1.18it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.18it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.18it/s] 80%|████████ | 12/15 [00:10<00:02, 1.18it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.18it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.18it/s] 100%|██████████| 15/15 [00:12<00:00, 1.39it/s] 100%|██████████| 15/15 [00:12<00:00, 1.23it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 12.5ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.24it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.21it/s] 20%|██ | 3/15 [00:02<00:10, 1.19it/s] 27%|██▋ | 4/15 [00:03<00:09, 1.19it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.19it/s] 40%|████ | 6/15 [00:05<00:07, 1.19it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.19it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.19it/s] 60%|██████ | 9/15 [00:07<00:05, 1.19it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.19it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.19it/s] 80%|████████ | 12/15 [00:10<00:02, 1.19it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.19it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.19it/s] 100%|██████████| 15/15 [00:12<00:00, 1.40it/s] 100%|██████████| 15/15 [00:12<00:00, 1.23it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
(horror \(theme\)), Gothic darkness makeup, realistic, death, (best quality), ((masterpiece)), (highres), illustration, original, extremely detailed, 1 girl, solo, jewelry, long hair, red eyes, necklace, red hair, skull, jacket, white background, fur trim, upper body, wristband, simple background, <lora:SDXL Detail:1>
negative_prompt
Specify things to not see in the output
(worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark,
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2323292343
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
Restart
samping_steps
Number of denoising steps
33
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
SDXL Detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/d3e5f392ee604830a007d98da7592a1d/00000-2323292343.webp
https://files.tungsten.run/uploads/459d83a07dda453984757faf04866e0d/00001-2323292344.webp
https://files.tungsten.run/uploads/e841588f09dc410586f21cfefd578e67/00002-2323292345.webp
Finished in 177.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (horror \(theme\)), Gothic darkness makeup, realistic, death, (best quality), ((masterpiece)), (highres), illustration, original, extremely detailed, 1 girl, solo, jewelry, long hair, red eyes, necklace, red hair, skull, jacket, white background, fur trim, upper body, wristband, simple background, <lora:SDXL Detail:1> Full negative prompt: (worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark, 0%| | 0/33 [00:00<?, ?it/s] 3%|▎ | 1/33 [00:03<02:04, 3.89s/it] 6%|▌ | 2/33 [00:06<01:40, 3.23s/it] 9%|▉ | 3/33 [00:09<01:30, 3.02s/it] 12%|█▏ | 4/33 [00:12<01:24, 2.92s/it] 15%|█▌ | 5/33 [00:14<01:20, 2.87s/it] 18%|█▊ | 6/33 [00:17<01:16, 2.84s/it] 21%|██ | 7/33 [00:20<01:13, 2.81s/it] 24%|██▍ | 8/33 [00:23<01:09, 2.80s/it] 27%|██▋ | 9/33 [00:26<01:06, 2.79s/it] 30%|███ | 10/33 [00:28<01:03, 2.78s/it] 33%|███▎ | 11/33 [00:31<01:01, 2.78s/it] 36%|███▋ | 12/33 [00:34<00:58, 2.77s/it] 39%|███▉ | 13/33 [00:37<00:55, 2.77s/it] 42%|████▏ | 14/33 [00:39<00:52, 2.76s/it] 45%|████▌ | 15/33 [00:42<00:49, 2.76s/it] 48%|████▊ | 16/33 [00:45<00:46, 2.76s/it] 52%|█████▏ | 17/33 [00:48<00:44, 2.76s/it] 55%|█████▍ | 18/33 [00:50<00:41, 2.76s/it] 58%|█████▊ | 19/33 [00:53<00:38, 2.77s/it] 61%|██████ | 20/33 [00:56<00:35, 2.77s/it] 64%|██████▎ | 21/33 [00:59<00:33, 2.78s/it] 67%|██████▋ | 22/33 [01:02<00:30, 2.78s/it] 70%|██████▉ | 23/33 [01:04<00:27, 2.78s/it] 73%|███████▎ | 24/33 [01:07<00:25, 2.78s/it] 76%|███████▌ | 25/33 [01:10<00:22, 2.78s/it] 79%|███████▉ | 26/33 [01:13<00:19, 2.78s/it] 82%|████████▏ | 27/33 [01:15<00:16, 2.79s/it] 85%|████████▍ | 28/33 [01:18<00:13, 2.79s/it] 88%|████████▊ | 29/33 [01:21<00:11, 2.79s/it] 91%|█████████ | 30/33 [01:24<00:08, 2.79s/it] 94%|█████████▍| 31/33 [01:27<00:05, 2.79s/it] 97%|█████████▋| 32/33 [01:29<00:02, 2.79s/it] 100%|██████████| 33/33 [01:31<00:00, 2.38s/it] 100%|██████████| 33/33 [01:31<00:00, 2.77s/it] Decoding latents in cuda:0... done in 2.45s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.7ms Speed: 3.4ms preprocess, 7.7ms inference, 30.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:12, 1.13it/s] 13%|█▎ | 2/15 [00:01<00:11, 1.17it/s] 20%|██ | 3/15 [00:02<00:10, 1.18it/s] 27%|██▋ | 4/15 [00:03<00:09, 1.18it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.18it/s] 40%|████ | 6/15 [00:05<00:07, 1.19it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.19it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.19it/s] 60%|██████ | 9/15 [00:07<00:05, 1.19it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.19it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.19it/s] 80%|████████ | 12/15 [00:10<00:02, 1.19it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.18it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.18it/s] 100%|██████████| 15/15 [00:12<00:00, 1.39it/s] 100%|██████████| 15/15 [00:12<00:00, 1.22it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 3.2ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.23it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.20it/s] 20%|██ | 3/15 [00:02<00:10, 1.18it/s] 27%|██▋ | 4/15 [00:03<00:09, 1.18it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.18it/s] 40%|████ | 6/15 [00:05<00:07, 1.18it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.18it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.17it/s] 60%|██████ | 9/15 [00:07<00:05, 1.17it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.17it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.17it/s] 80%|████████ | 12/15 [00:10<00:02, 1.17it/s] 87%|████████▋ | 13/15 [00:11<00:01, 1.17it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.17it/s] 100%|██████████| 15/15 [00:12<00:00, 1.38it/s] 100%|██████████| 15/15 [00:12<00:00, 1.22it/s] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.5ms Speed: 3.3ms preprocess, 8.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.23it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.20it/s] 20%|██ | 3/15 [00:02<00:10, 1.18it/s] 27%|██▋ | 4/15 [00:03<00:09, 1.18it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.18it/s] 40%|████ | 6/15 [00:05<00:07, 1.18it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.18it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.18it/s] 60%|██████ | 9/15 [00:07<00:05, 1.18it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.18it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.18it/s] 80%|████████ | 12/15 [00:10<00:02, 1.18it/s] 87%|████████▋ | 13/15 [00:11<00:01, 1.18it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.18it/s] 100%|██████████| 15/15 [00:12<00:00, 1.39it/s] 100%|██████████| 15/15 [00:12<00:00, 1.22it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.24it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.20it/s] 20%|██ | 3/15 [00:02<00:10, 1.19it/s] 27%|██▋ | 4/15 [00:03<00:09, 1.19it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.18it/s] 40%|████ | 6/15 [00:05<00:07, 1.18it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.18it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.18it/s] 60%|██████ | 9/15 [00:07<00:05, 1.18it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.18it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.18it/s] 80%|████████ | 12/15 [00:10<00:02, 1.18it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.18it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.18it/s] 100%|██████████| 15/15 [00:12<00:00, 1.39it/s] 100%|██████████| 15/15 [00:12<00:00, 1.23it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 12.5ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.24it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.21it/s] 20%|██ | 3/15 [00:02<00:10, 1.19it/s] 27%|██▋ | 4/15 [00:03<00:09, 1.19it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.19it/s] 40%|████ | 6/15 [00:05<00:07, 1.19it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.19it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.19it/s] 60%|██████ | 9/15 [00:07<00:05, 1.19it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.19it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.19it/s] 80%|████████ | 12/15 [00:10<00:02, 1.19it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.19it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.19it/s] 100%|██████████| 15/15 [00:12<00:00, 1.40it/s] 100%|██████████| 15/15 [00:12<00:00, 1.23it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.