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Cute Witchies with MajicMix Sombre
majicmix-sombre:v2.0
evevalentine2017
evevalentine2017
·
Feb 4
341
Input
prompt
Specify things to see in the output
Poster, Halloween time, 1 girl, witch costume, dark, mist, graveyard, moon, pumpkins, (text: "Happy Halloween":1.5), <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
1024
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
-0.48
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.
2776810786
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
20
cfg_scale
Scale for classifier-free guidance
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>
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/21ad45df28ef44c5ac6f7ed73f91c378/00000-2776810786.webp
https://files.tungsten.run/uploads/3db8a34b4501498b86c1c003ba5c9860/00001-2776810787.webp
https://files.tungsten.run/uploads/95507ff425824fb0bc68b0a760db07c6/00002-2776810788.webp
https://files.tungsten.run/uploads/d9fe718d135447e98e77f50ad7759f1b/00003-2776810789.webp
Finished in 101.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: Poster, Halloween time, 1 girl, witch costume, dark, mist, graveyard, moon, pumpkins, (text: "Happy Halloween":1.5), <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 [00:02<00:48, 2.54s/it] 10%|█ | 2/20 [00:05<00:45, 2.52s/it] 15%|█▌ | 3/20 [00:07<00:42, 2.49s/it] 20%|██ | 4/20 [00:10<00:40, 2.52s/it] 25%|██▌ | 5/20 [00:12<00:37, 2.48s/it] 30%|███ | 6/20 [00:14<00:34, 2.49s/it] 35%|███▌ | 7/20 [00:17<00:32, 2.46s/it] 40%|████ | 8/20 [00:19<00:28, 2.37s/it] 45%|████▌ | 9/20 [00:21<00:25, 2.34s/it] 50%|█████ | 10/20 [00:24<00:23, 2.39s/it] 55%|█████▌ | 11/20 [00:26<00:21, 2.35s/it] 60%|██████ | 12/20 [00:28<00:18, 2.30s/it] 65%|██████▌ | 13/20 [00:31<00:16, 2.33s/it] 70%|███████ | 14/20 [00:33<00:13, 2.27s/it] 75%|███████▌ | 15/20 [00:35<00:11, 2.26s/it] 80%|████████ | 16/20 [00:37<00:08, 2.20s/it] 85%|████████▌ | 17/20 [00:39<00:06, 2.16s/it] 90%|█████████ | 18/20 [00:41<00:04, 2.16s/it] 95%|█████████▌| 19/20 [00:43<00:01, 1.91s/it] 100%|██████████| 20/20 [00:44<00:00, 1.61s/it] 100%|██████████| 20/20 [00:44<00:00, 2.20s/it] Decoding latents in cuda:0... done in 1.28s Move latents to cpu... done in 0.03s 0: 480x640 1 face, 158.4ms Speed: 2.5ms preprocess, 158.4ms inference, 22.2ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.53it/s] 20%|██ | 2/10 [00:01<00:04, 1.73it/s] 30%|███ | 3/10 [00:01<00:04, 1.70it/s] 40%|████ | 4/10 [00:02<00:03, 1.78it/s] 50%|█████ | 5/10 [00:02<00:02, 1.81it/s] 60%|██████ | 6/10 [00:03<00:02, 1.89it/s] 70%|███████ | 7/10 [00:03<00:01, 1.93it/s] 80%|████████ | 8/10 [00:04<00:01, 1.96it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.23it/s] 100%|██████████| 10/10 [00:04<00:00, 2.68it/s] 100%|██████████| 10/10 [00:04<00:00, 2.07it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 1 hand, 101.2ms Speed: 2.4ms preprocess, 101.2ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.82it/s] 20%|██ | 2/10 [00:01<00:04, 1.85it/s] 30%|███ | 3/10 [00:01<00:03, 1.78it/s] 40%|████ | 4/10 [00:02<00:03, 1.81it/s] 50%|█████ | 5/10 [00:02<00:02, 1.83it/s] 60%|██████ | 6/10 [00:03<00:02, 1.90it/s] 70%|███████ | 7/10 [00:03<00:01, 1.95it/s] 80%|████████ | 8/10 [00:04<00:01, 1.97it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.24it/s] 100%|██████████| 10/10 [00:04<00:00, 2.69it/s] 100%|██████████| 10/10 [00:04<00:00, 2.11it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.85it/s] 20%|██ | 2/10 [00:01<00:04, 1.88it/s] 30%|███ | 3/10 [00:01<00:03, 1.82it/s] 40%|████ | 4/10 [00:02<00:03, 1.86it/s] 50%|█████ | 5/10 [00:02<00:02, 1.86it/s] 60%|██████ | 6/10 [00:03<00:02, 1.92it/s] 70%|███████ | 7/10 [00:03<00:01, 1.96it/s] 80%|████████ | 8/10 [00:04<00:01, 1.96it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.23it/s] 100%|██████████| 10/10 [00:04<00:00, 2.68it/s] 100%|██████████| 10/10 [00:04<00:00, 2.13it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 8.4ms Speed: 2.3ms preprocess, 8.4ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 1 face, 9.4ms Speed: 2.4ms preprocess, 9.4ms inference, 1.6ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.89it/s] 20%|██ | 2/10 [00:01<00:04, 1.92it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.90it/s] 50%|█████ | 5/10 [00:02<00:02, 1.91it/s] 60%|██████ | 6/10 [00:03<00:02, 1.97it/s] 70%|███████ | 7/10 [00:03<00:01, 2.00it/s] 80%|████████ | 8/10 [00:04<00:00, 2.02it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.29it/s] 100%|██████████| 10/10 [00:04<00:00, 2.74it/s] 100%|██████████| 10/10 [00:04<00:00, 2.18it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 2 hands, 7.5ms Speed: 2.3ms preprocess, 7.5ms inference, 1.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.90it/s] 20%|██ | 2/10 [00:01<00:04, 1.92it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.90it/s] 50%|█████ | 5/10 [00:02<00:02, 1.91it/s] 60%|██████ | 6/10 [00:03<00:02, 1.96it/s] 70%|███████ | 7/10 [00:03<00:01, 1.99it/s] 80%|████████ | 8/10 [00:04<00:00, 2.01it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.28it/s] 100%|██████████| 10/10 [00:04<00:00, 2.73it/s] 100%|██████████| 10/10 [00:04<00:00, 2.17it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.85it/s] 20%|██ | 2/10 [00:01<00:04, 1.89it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.90it/s] 50%|█████ | 5/10 [00:02<00:02, 1.84it/s] 60%|██████ | 6/10 [00:03<00:02, 1.92it/s] 70%|███████ | 7/10 [00:03<00:01, 1.96it/s] 80%|████████ | 8/10 [00:04<00:01, 1.99it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.26it/s] 100%|██████████| 10/10 [00:04<00:00, 2.71it/s] 100%|██████████| 10/10 [00:04<00:00, 2.14it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 7.6ms Speed: 2.3ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.82it/s] 20%|██ | 2/10 [00:01<00:04, 1.88it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.89it/s] 50%|█████ | 5/10 [00:02<00:02, 1.89it/s] 60%|██████ | 6/10 [00:03<00:02, 1.95it/s] 70%|███████ | 7/10 [00:03<00:01, 1.99it/s] 80%|████████ | 8/10 [00:04<00:01, 1.99it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.26it/s] 100%|██████████| 10/10 [00:04<00:00, 2.71it/s] 100%|██████████| 10/10 [00:04<00:00, 2.16it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 1 hand, 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.83it/s] 20%|██ | 2/10 [00:01<00:04, 1.86it/s] 30%|███ | 3/10 [00:01<00:03, 1.84it/s] 40%|████ | 4/10 [00:02<00:03, 1.86it/s] 50%|█████ | 5/10 [00:02<00:02, 1.84it/s] 60%|██████ | 6/10 [00:03<00:02, 1.89it/s] 70%|███████ | 7/10 [00:03<00:01, 1.92it/s] 80%|████████ | 8/10 [00:04<00:01, 1.94it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.21it/s] 100%|██████████| 10/10 [00:04<00:00, 2.65it/s] 100%|██████████| 10/10 [00:04<00:00, 2.11it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Poster, Halloween time, 1 girl, witch costume, dark, mist, graveyard, moon, pumpkins, (text: "Happy Halloween":1.5), <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
1024
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
-0.48
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.
2776810786
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
20
cfg_scale
Scale for classifier-free guidance
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>
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/21ad45df28ef44c5ac6f7ed73f91c378/00000-2776810786.webp
https://files.tungsten.run/uploads/3db8a34b4501498b86c1c003ba5c9860/00001-2776810787.webp
https://files.tungsten.run/uploads/95507ff425824fb0bc68b0a760db07c6/00002-2776810788.webp
https://files.tungsten.run/uploads/d9fe718d135447e98e77f50ad7759f1b/00003-2776810789.webp
Finished in 101.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: Poster, Halloween time, 1 girl, witch costume, dark, mist, graveyard, moon, pumpkins, (text: "Happy Halloween":1.5), <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 [00:02<00:48, 2.54s/it] 10%|█ | 2/20 [00:05<00:45, 2.52s/it] 15%|█▌ | 3/20 [00:07<00:42, 2.49s/it] 20%|██ | 4/20 [00:10<00:40, 2.52s/it] 25%|██▌ | 5/20 [00:12<00:37, 2.48s/it] 30%|███ | 6/20 [00:14<00:34, 2.49s/it] 35%|███▌ | 7/20 [00:17<00:32, 2.46s/it] 40%|████ | 8/20 [00:19<00:28, 2.37s/it] 45%|████▌ | 9/20 [00:21<00:25, 2.34s/it] 50%|█████ | 10/20 [00:24<00:23, 2.39s/it] 55%|█████▌ | 11/20 [00:26<00:21, 2.35s/it] 60%|██████ | 12/20 [00:28<00:18, 2.30s/it] 65%|██████▌ | 13/20 [00:31<00:16, 2.33s/it] 70%|███████ | 14/20 [00:33<00:13, 2.27s/it] 75%|███████▌ | 15/20 [00:35<00:11, 2.26s/it] 80%|████████ | 16/20 [00:37<00:08, 2.20s/it] 85%|████████▌ | 17/20 [00:39<00:06, 2.16s/it] 90%|█████████ | 18/20 [00:41<00:04, 2.16s/it] 95%|█████████▌| 19/20 [00:43<00:01, 1.91s/it] 100%|██████████| 20/20 [00:44<00:00, 1.61s/it] 100%|██████████| 20/20 [00:44<00:00, 2.20s/it] Decoding latents in cuda:0... done in 1.28s Move latents to cpu... done in 0.03s 0: 480x640 1 face, 158.4ms Speed: 2.5ms preprocess, 158.4ms inference, 22.2ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.53it/s] 20%|██ | 2/10 [00:01<00:04, 1.73it/s] 30%|███ | 3/10 [00:01<00:04, 1.70it/s] 40%|████ | 4/10 [00:02<00:03, 1.78it/s] 50%|█████ | 5/10 [00:02<00:02, 1.81it/s] 60%|██████ | 6/10 [00:03<00:02, 1.89it/s] 70%|███████ | 7/10 [00:03<00:01, 1.93it/s] 80%|████████ | 8/10 [00:04<00:01, 1.96it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.23it/s] 100%|██████████| 10/10 [00:04<00:00, 2.68it/s] 100%|██████████| 10/10 [00:04<00:00, 2.07it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 1 hand, 101.2ms Speed: 2.4ms preprocess, 101.2ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.82it/s] 20%|██ | 2/10 [00:01<00:04, 1.85it/s] 30%|███ | 3/10 [00:01<00:03, 1.78it/s] 40%|████ | 4/10 [00:02<00:03, 1.81it/s] 50%|█████ | 5/10 [00:02<00:02, 1.83it/s] 60%|██████ | 6/10 [00:03<00:02, 1.90it/s] 70%|███████ | 7/10 [00:03<00:01, 1.95it/s] 80%|████████ | 8/10 [00:04<00:01, 1.97it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.24it/s] 100%|██████████| 10/10 [00:04<00:00, 2.69it/s] 100%|██████████| 10/10 [00:04<00:00, 2.11it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.85it/s] 20%|██ | 2/10 [00:01<00:04, 1.88it/s] 30%|███ | 3/10 [00:01<00:03, 1.82it/s] 40%|████ | 4/10 [00:02<00:03, 1.86it/s] 50%|█████ | 5/10 [00:02<00:02, 1.86it/s] 60%|██████ | 6/10 [00:03<00:02, 1.92it/s] 70%|███████ | 7/10 [00:03<00:01, 1.96it/s] 80%|████████ | 8/10 [00:04<00:01, 1.96it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.23it/s] 100%|██████████| 10/10 [00:04<00:00, 2.68it/s] 100%|██████████| 10/10 [00:04<00:00, 2.13it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 8.4ms Speed: 2.3ms preprocess, 8.4ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 1 face, 9.4ms Speed: 2.4ms preprocess, 9.4ms inference, 1.6ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.89it/s] 20%|██ | 2/10 [00:01<00:04, 1.92it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.90it/s] 50%|█████ | 5/10 [00:02<00:02, 1.91it/s] 60%|██████ | 6/10 [00:03<00:02, 1.97it/s] 70%|███████ | 7/10 [00:03<00:01, 2.00it/s] 80%|████████ | 8/10 [00:04<00:00, 2.02it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.29it/s] 100%|██████████| 10/10 [00:04<00:00, 2.74it/s] 100%|██████████| 10/10 [00:04<00:00, 2.18it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 2 hands, 7.5ms Speed: 2.3ms preprocess, 7.5ms inference, 1.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.90it/s] 20%|██ | 2/10 [00:01<00:04, 1.92it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.90it/s] 50%|█████ | 5/10 [00:02<00:02, 1.91it/s] 60%|██████ | 6/10 [00:03<00:02, 1.96it/s] 70%|███████ | 7/10 [00:03<00:01, 1.99it/s] 80%|████████ | 8/10 [00:04<00:00, 2.01it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.28it/s] 100%|██████████| 10/10 [00:04<00:00, 2.73it/s] 100%|██████████| 10/10 [00:04<00:00, 2.17it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.85it/s] 20%|██ | 2/10 [00:01<00:04, 1.89it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.90it/s] 50%|█████ | 5/10 [00:02<00:02, 1.84it/s] 60%|██████ | 6/10 [00:03<00:02, 1.92it/s] 70%|███████ | 7/10 [00:03<00:01, 1.96it/s] 80%|████████ | 8/10 [00:04<00:01, 1.99it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.26it/s] 100%|██████████| 10/10 [00:04<00:00, 2.71it/s] 100%|██████████| 10/10 [00:04<00:00, 2.14it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 7.6ms Speed: 2.3ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.82it/s] 20%|██ | 2/10 [00:01<00:04, 1.88it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.89it/s] 50%|█████ | 5/10 [00:02<00:02, 1.89it/s] 60%|██████ | 6/10 [00:03<00:02, 1.95it/s] 70%|███████ | 7/10 [00:03<00:01, 1.99it/s] 80%|████████ | 8/10 [00:04<00:01, 1.99it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.26it/s] 100%|██████████| 10/10 [00:04<00:00, 2.71it/s] 100%|██████████| 10/10 [00:04<00:00, 2.16it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 1 hand, 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 1.83it/s] 20%|██ | 2/10 [00:01<00:04, 1.86it/s] 30%|███ | 3/10 [00:01<00:03, 1.84it/s] 40%|████ | 4/10 [00:02<00:03, 1.86it/s] 50%|█████ | 5/10 [00:02<00:02, 1.84it/s] 60%|██████ | 6/10 [00:03<00:02, 1.89it/s] 70%|███████ | 7/10 [00:03<00:01, 1.92it/s] 80%|████████ | 8/10 [00:04<00:01, 1.94it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.21it/s] 100%|██████████| 10/10 [00:04<00:00, 2.65it/s] 100%|██████████| 10/10 [00:04<00:00, 2.11it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s Uploading outputs... Finished.