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Cute Smile with MajicMix Sombre
majicmix-sombre:v2.0
evevalentine2017
evevalentine2017
·
Feb 3
360
Input
prompt
Specify things to see in the output
smile, <lora:more_details:0.4>
negative_prompt
Specify things to not see in the output
desaturated, 3 arms, 3 legs, ng_deepnegative_v1_75t, (badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, bad-hands-5
num_outputs
Number of output images
4
width
Output image width
768
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
-0.48
brightness
Adjust brightness
-0.26
contrast
Adjust contrast
-1.59
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3233001750
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
20
cfg_scale
Scale for classifier-free guidance
6
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>
more_details.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)
ng_deepnegative_v1_75t.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
badhandv4.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.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/3f8b177d2d7e4334a6e5ef7e026b7964/00000-3233001750.webp
https://files.tungsten.run/uploads/13bc4562f7fc4ff1b41c11c2d6d5928d/00001-3233001751.webp
https://files.tungsten.run/uploads/d4823047c40245bcb2dbb57fe851eea6/00002-3233001752.webp
https://files.tungsten.run/uploads/2cb2e10c33444664901c60be3ec96012/00003-3233001753.webp
Finished in 51.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: smile, <lora:more_details:0.4>, <lora:add_detail:-0.48>, <lora:add_brightness:-0.26>, <lora:contrast_slider_v10:-1.59> Full negative prompt: desaturated, 3 arms, 3 legs, ng_deepnegative_v1_75t, (badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, bad-hands-5 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:30, 1.59s/it] 10%|█ | 2/20 [00:02<00:22, 1.23s/it] 15%|█▌ | 3/20 [00:03<00:18, 1.11s/it] 20%|██ | 4/20 [00:04<00:16, 1.06s/it] 25%|██▌ | 5/20 [00:05<00:15, 1.03s/it] 30%|███ | 6/20 [00:06<00:14, 1.02s/it] 35%|███▌ | 7/20 [00:07<00:13, 1.01s/it] 40%|████ | 8/20 [00:08<00:12, 1.01s/it] 45%|████▌ | 9/20 [00:09<00:11, 1.00s/it] 50%|█████ | 10/20 [00:10<00:10, 1.00s/it] 55%|█████▌ | 11/20 [00:11<00:08, 1.00it/s] 60%|██████ | 12/20 [00:12<00:07, 1.00it/s] 65%|██████▌ | 13/20 [00:13<00:06, 1.00it/s] 70%|███████ | 14/20 [00:14<00:05, 1.00it/s] 75%|███████▌ | 15/20 [00:15<00:04, 1.00it/s] 80%|████████ | 16/20 [00:16<00:04, 1.00s/it] 85%|████████▌ | 17/20 [00:17<00:03, 1.00s/it] 90%|█████████ | 18/20 [00:18<00:02, 1.00s/it] 95%|█████████▌| 19/20 [00:19<00:01, 1.00s/it] 100%|██████████| 20/20 [00:20<00:00, 1.00s/it] 100%|██████████| 20/20 [00:20<00:00, 1.02s/it] Decoding latents in cuda:0... done in 1.33s Move latents to cpu... done in 0.03s 0: 640x480 1 face, 163.5ms Speed: 2.5ms preprocess, 163.5ms inference, 32.2ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.07it/s] 20%|██ | 2/10 [00:00<00:02, 3.78it/s] 30%|███ | 3/10 [00:00<00:01, 4.09it/s] 40%|████ | 4/10 [00:00<00:01, 4.25it/s] 50%|█████ | 5/10 [00:01<00:01, 3.49it/s] 60%|██████ | 6/10 [00:01<00:01, 3.80it/s] 70%|███████ | 7/10 [00:01<00:00, 4.02it/s] 80%|████████ | 8/10 [00:02<00:00, 4.17it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.22it/s] 100%|██████████| 10/10 [00:02<00:00, 4.25it/s] 100%|██████████| 10/10 [00:02<00:00, 4.02it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 100.9ms Speed: 2.4ms preprocess, 100.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x480 1 face, 8.3ms Speed: 2.3ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.66it/s] 20%|██ | 2/10 [00:00<00:01, 4.62it/s] 30%|███ | 3/10 [00:00<00:01, 4.60it/s] 40%|████ | 4/10 [00:00<00:01, 4.57it/s] 50%|█████ | 5/10 [00:01<00:01, 4.47it/s] 60%|██████ | 6/10 [00:01<00:00, 4.41it/s] 70%|███████ | 7/10 [00:01<00:00, 4.44it/s] 80%|████████ | 8/10 [00:01<00:00, 4.47it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.43it/s] 100%|██████████| 10/10 [00:02<00:00, 4.40it/s] 100%|██████████| 10/10 [00:02<00:00, 4.46it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 640x480 2 hands, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.74it/s] 20%|██ | 2/10 [00:00<00:01, 4.65it/s] 30%|███ | 3/10 [00:00<00:01, 4.62it/s] 40%|████ | 4/10 [00:00<00:01, 4.54it/s] 50%|█████ | 5/10 [00:01<00:01, 4.47it/s] 60%|██████ | 6/10 [00:01<00:00, 4.43it/s] 70%|███████ | 7/10 [00:01<00:00, 4.45it/s] 80%|████████ | 8/10 [00:01<00:00, 4.48it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.45it/s] 100%|██████████| 10/10 [00:02<00:00, 4.41it/s] 100%|██████████| 10/10 [00:02<00:00, 4.47it/s] Decoding latents in cuda:0... done in 0.33s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.68it/s] 20%|██ | 2/10 [00:00<00:01, 4.61it/s] 30%|███ | 3/10 [00:00<00:01, 4.50it/s] 40%|████ | 4/10 [00:00<00:01, 4.41it/s] 50%|█████ | 5/10 [00:01<00:01, 4.41it/s] 60%|██████ | 6/10 [00:01<00:00, 4.46it/s] 70%|███████ | 7/10 [00:01<00:00, 4.48it/s] 80%|████████ | 8/10 [00:01<00:00, 4.43it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.40it/s] 100%|██████████| 10/10 [00:02<00:00, 4.41it/s] 100%|██████████| 10/10 [00:02<00:00, 4.44it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.8ms Speed: 2.3ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.71it/s] 20%|██ | 2/10 [00:00<00:01, 4.59it/s] 30%|███ | 3/10 [00:00<00:01, 4.56it/s] 40%|████ | 4/10 [00:00<00:01, 4.54it/s] 50%|█████ | 5/10 [00:01<00:01, 4.49it/s] 60%|██████ | 6/10 [00:01<00:00, 4.46it/s] 70%|███████ | 7/10 [00:01<00:00, 4.48it/s] 80%|████████ | 8/10 [00:01<00:00, 4.47it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.46it/s] 100%|██████████| 10/10 [00:02<00:00, 4.43it/s] 100%|██████████| 10/10 [00:02<00:00, 4.48it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 9.8ms Speed: 2.5ms preprocess, 9.8ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x480 1 face, 7.9ms Speed: 2.5ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.67it/s] 20%|██ | 2/10 [00:00<00:01, 4.60it/s] 30%|███ | 3/10 [00:00<00:01, 4.57it/s] 40%|████ | 4/10 [00:00<00:01, 4.52it/s] 50%|█████ | 5/10 [00:01<00:01, 4.43it/s] 60%|██████ | 6/10 [00:01<00:00, 4.45it/s] 70%|███████ | 7/10 [00:01<00:00, 4.48it/s] 80%|████████ | 8/10 [00:01<00:00, 4.49it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.43it/s] 100%|██████████| 10/10 [00:02<00:00, 4.42it/s] 100%|██████████| 10/10 [00:02<00:00, 4.47it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
smile, <lora:more_details:0.4>
negative_prompt
Specify things to not see in the output
desaturated, 3 arms, 3 legs, ng_deepnegative_v1_75t, (badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, bad-hands-5
num_outputs
Number of output images
4
width
Output image width
768
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
-0.48
brightness
Adjust brightness
-0.26
contrast
Adjust contrast
-1.59
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3233001750
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
20
cfg_scale
Scale for classifier-free guidance
6
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>
more_details.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)
ng_deepnegative_v1_75t.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
badhandv4.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/3f8b177d2d7e4334a6e5ef7e026b7964/00000-3233001750.webp
https://files.tungsten.run/uploads/13bc4562f7fc4ff1b41c11c2d6d5928d/00001-3233001751.webp
https://files.tungsten.run/uploads/d4823047c40245bcb2dbb57fe851eea6/00002-3233001752.webp
https://files.tungsten.run/uploads/2cb2e10c33444664901c60be3ec96012/00003-3233001753.webp
Finished in 51.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: smile, <lora:more_details:0.4>, <lora:add_detail:-0.48>, <lora:add_brightness:-0.26>, <lora:contrast_slider_v10:-1.59> Full negative prompt: desaturated, 3 arms, 3 legs, ng_deepnegative_v1_75t, (badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, bad-hands-5 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:30, 1.59s/it] 10%|█ | 2/20 [00:02<00:22, 1.23s/it] 15%|█▌ | 3/20 [00:03<00:18, 1.11s/it] 20%|██ | 4/20 [00:04<00:16, 1.06s/it] 25%|██▌ | 5/20 [00:05<00:15, 1.03s/it] 30%|███ | 6/20 [00:06<00:14, 1.02s/it] 35%|███▌ | 7/20 [00:07<00:13, 1.01s/it] 40%|████ | 8/20 [00:08<00:12, 1.01s/it] 45%|████▌ | 9/20 [00:09<00:11, 1.00s/it] 50%|█████ | 10/20 [00:10<00:10, 1.00s/it] 55%|█████▌ | 11/20 [00:11<00:08, 1.00it/s] 60%|██████ | 12/20 [00:12<00:07, 1.00it/s] 65%|██████▌ | 13/20 [00:13<00:06, 1.00it/s] 70%|███████ | 14/20 [00:14<00:05, 1.00it/s] 75%|███████▌ | 15/20 [00:15<00:04, 1.00it/s] 80%|████████ | 16/20 [00:16<00:04, 1.00s/it] 85%|████████▌ | 17/20 [00:17<00:03, 1.00s/it] 90%|█████████ | 18/20 [00:18<00:02, 1.00s/it] 95%|█████████▌| 19/20 [00:19<00:01, 1.00s/it] 100%|██████████| 20/20 [00:20<00:00, 1.00s/it] 100%|██████████| 20/20 [00:20<00:00, 1.02s/it] Decoding latents in cuda:0... done in 1.33s Move latents to cpu... done in 0.03s 0: 640x480 1 face, 163.5ms Speed: 2.5ms preprocess, 163.5ms inference, 32.2ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.07it/s] 20%|██ | 2/10 [00:00<00:02, 3.78it/s] 30%|███ | 3/10 [00:00<00:01, 4.09it/s] 40%|████ | 4/10 [00:00<00:01, 4.25it/s] 50%|█████ | 5/10 [00:01<00:01, 3.49it/s] 60%|██████ | 6/10 [00:01<00:01, 3.80it/s] 70%|███████ | 7/10 [00:01<00:00, 4.02it/s] 80%|████████ | 8/10 [00:02<00:00, 4.17it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.22it/s] 100%|██████████| 10/10 [00:02<00:00, 4.25it/s] 100%|██████████| 10/10 [00:02<00:00, 4.02it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 100.9ms Speed: 2.4ms preprocess, 100.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x480 1 face, 8.3ms Speed: 2.3ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.66it/s] 20%|██ | 2/10 [00:00<00:01, 4.62it/s] 30%|███ | 3/10 [00:00<00:01, 4.60it/s] 40%|████ | 4/10 [00:00<00:01, 4.57it/s] 50%|█████ | 5/10 [00:01<00:01, 4.47it/s] 60%|██████ | 6/10 [00:01<00:00, 4.41it/s] 70%|███████ | 7/10 [00:01<00:00, 4.44it/s] 80%|████████ | 8/10 [00:01<00:00, 4.47it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.43it/s] 100%|██████████| 10/10 [00:02<00:00, 4.40it/s] 100%|██████████| 10/10 [00:02<00:00, 4.46it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 640x480 2 hands, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.74it/s] 20%|██ | 2/10 [00:00<00:01, 4.65it/s] 30%|███ | 3/10 [00:00<00:01, 4.62it/s] 40%|████ | 4/10 [00:00<00:01, 4.54it/s] 50%|█████ | 5/10 [00:01<00:01, 4.47it/s] 60%|██████ | 6/10 [00:01<00:00, 4.43it/s] 70%|███████ | 7/10 [00:01<00:00, 4.45it/s] 80%|████████ | 8/10 [00:01<00:00, 4.48it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.45it/s] 100%|██████████| 10/10 [00:02<00:00, 4.41it/s] 100%|██████████| 10/10 [00:02<00:00, 4.47it/s] Decoding latents in cuda:0... done in 0.33s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.68it/s] 20%|██ | 2/10 [00:00<00:01, 4.61it/s] 30%|███ | 3/10 [00:00<00:01, 4.50it/s] 40%|████ | 4/10 [00:00<00:01, 4.41it/s] 50%|█████ | 5/10 [00:01<00:01, 4.41it/s] 60%|██████ | 6/10 [00:01<00:00, 4.46it/s] 70%|███████ | 7/10 [00:01<00:00, 4.48it/s] 80%|████████ | 8/10 [00:01<00:00, 4.43it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.40it/s] 100%|██████████| 10/10 [00:02<00:00, 4.41it/s] 100%|██████████| 10/10 [00:02<00:00, 4.44it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.8ms Speed: 2.3ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.71it/s] 20%|██ | 2/10 [00:00<00:01, 4.59it/s] 30%|███ | 3/10 [00:00<00:01, 4.56it/s] 40%|████ | 4/10 [00:00<00:01, 4.54it/s] 50%|█████ | 5/10 [00:01<00:01, 4.49it/s] 60%|██████ | 6/10 [00:01<00:00, 4.46it/s] 70%|███████ | 7/10 [00:01<00:00, 4.48it/s] 80%|████████ | 8/10 [00:01<00:00, 4.47it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.46it/s] 100%|██████████| 10/10 [00:02<00:00, 4.43it/s] 100%|██████████| 10/10 [00:02<00:00, 4.48it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 9.8ms Speed: 2.5ms preprocess, 9.8ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x480 1 face, 7.9ms Speed: 2.5ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.67it/s] 20%|██ | 2/10 [00:00<00:01, 4.60it/s] 30%|███ | 3/10 [00:00<00:01, 4.57it/s] 40%|████ | 4/10 [00:00<00:01, 4.52it/s] 50%|█████ | 5/10 [00:01<00:01, 4.43it/s] 60%|██████ | 6/10 [00:01<00:00, 4.45it/s] 70%|███████ | 7/10 [00:01<00:00, 4.48it/s] 80%|████████ | 8/10 [00:01<00:00, 4.49it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.43it/s] 100%|██████████| 10/10 [00:02<00:00, 4.42it/s] 100%|██████████| 10/10 [00:02<00:00, 4.47it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.