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Girls in the Streets with AgAnime
aganime:v1.0
evevalentine2017
evevalentine2017
·
Jan 15
334
Input
prompt
Specify things to see in the output
1girl, (nightgown:1.1), demon wing, low wings, tail, cafe, tavern, sitting, crossed legs, facing viewer, ((Establishing Shot, Ground Level Shot, Full Front Staging, Looking At Viewer, Face, Front)), Volumetric Lighting, Volumetric Light, Volumetric, <lora:more_details:0.4>
negative_prompt
Specify things to not see in the output
missing wings, missing horns, Nsfw:1.7, topless, nude, ((more than 2 feet)), ((more than 2 legs)), (worst quality, low quality, large head, extra digits:1.4), EasyNegativeV2, bad_prompt_version2-neg, ng_deepnegative_v1_75t, blurry, monochrome, grayscale,
num_outputs
Number of output images
4
width
Output image width
768
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
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
-0.4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
4017901778
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
30
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)
EasyNegativeV2.safetensors
embedding_2
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_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.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/4f6d07383fee491184e83ce59f4c1ac8/00000-4017901778.webp
https://files.tungsten.run/uploads/7d5ea60e6c634e4d87aa094f0adeab85/00001-4017901779.webp
https://files.tungsten.run/uploads/a186743777094d688621be59724e581a/00002-4017901780.webp
https://files.tungsten.run/uploads/62f3618b0283438eb95a61c7f9219686/00003-4017901781.webp
Finished in 109.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: 1girl, (nightgown:1.1), demon wing, low wings, tail, cafe, tavern, sitting, crossed legs, facing viewer, ((Establishing Shot, Ground Level Shot, Full Front Staging, Looking At Viewer, Face, Front)), Volumetric Lighting, Volumetric Light, Volumetric, <lora:more_details:0.4>, <lora:add_saturation:-0.4> Full negative prompt: missing wings, missing horns, Nsfw:1.7, topless, nude, ((more than 2 feet)), ((more than 2 legs)), (worst quality, low quality, large head, extra digits:1.4), EasyNegativeV2, bad_prompt_version2-neg, ng_deepnegative_v1_75t, blurry, monochrome, grayscale, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:49, 1.72s/it] 7%|▋ | 2/30 [00:03<00:48, 1.73s/it] 10%|█ | 3/30 [00:05<00:46, 1.73s/it] 13%|█▎ | 4/30 [00:06<00:45, 1.75s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.80s/it] 20%|██ | 6/30 [00:10<00:43, 1.82s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.77s/it] 27%|██▋ | 8/30 [00:14<00:38, 1.75s/it] 30%|███ | 9/30 [00:15<00:37, 1.79s/it] 33%|███▎ | 10/30 [00:17<00:36, 1.82s/it] 37%|███▋ | 11/30 [00:19<00:33, 1.79s/it] 40%|████ | 12/30 [00:21<00:31, 1.75s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.77s/it] 47%|████▋ | 14/30 [00:24<00:26, 1.68s/it] 50%|█████ | 15/30 [00:26<00:24, 1.64s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.59s/it] 57%|█████▋ | 17/30 [00:29<00:20, 1.58s/it] 60%|██████ | 18/30 [00:30<00:19, 1.60s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.59s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.61s/it] 70%|███████ | 21/30 [00:35<00:14, 1.59s/it] 73%|███████▎ | 22/30 [00:37<00:12, 1.61s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.53s/it] 80%|████████ | 24/30 [00:39<00:08, 1.49s/it] 83%|████████▎ | 25/30 [00:41<00:07, 1.50s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.53s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.53s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.53s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.35s/it] 100%|██████████| 30/30 [00:47<00:00, 1.14s/it] 100%|██████████| 30/30 [00:47<00:00, 1.59s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 22.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.90it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.22it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.40it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.42it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.51it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.50it/s] 50%|█████ | 7/14 [00:02<00:02, 2.67it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.72it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.73it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.68it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.70it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.72it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.11it/s] 100%|██████████| 14/14 [00:04<00:00, 3.72it/s] 100%|██████████| 14/14 [00:04<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.55it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.59it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.54it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.58it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.56it/s] 50%|█████ | 7/14 [00:02<00:02, 2.69it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.76it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.71it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.64it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.58it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.64it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.03it/s] 100%|██████████| 14/14 [00:04<00:00, 3.65it/s] 100%|██████████| 14/14 [00:04<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 2.7ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.55it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.55it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.59it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.54it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.59it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.56it/s] 50%|█████ | 7/14 [00:02<00:02, 2.71it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.77it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.72it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.65it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.64it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.67it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.04it/s] 100%|██████████| 14/14 [00:04<00:00, 3.65it/s] 100%|██████████| 14/14 [00:04<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.49it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.49it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.54it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.50it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.55it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.68it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.77it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.75it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.69it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.70it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.71it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.09it/s] 100%|██████████| 14/14 [00:04<00:00, 3.71it/s] 100%|██████████| 14/14 [00:04<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 8.5ms Speed: 2.9ms preprocess, 8.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.44it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.50it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.57it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.53it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.58it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.56it/s] 50%|█████ | 7/14 [00:02<00:02, 2.70it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.79it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.77it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.70it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.69it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.71it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.09it/s] 100%|██████████| 14/14 [00:04<00:00, 3.71it/s] 100%|██████████| 14/14 [00:04<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.17it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.38it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.46it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.45it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.50it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.50it/s] 50%|█████ | 7/14 [00:02<00:02, 2.67it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.74it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.75it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.70it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.71it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.72it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.10it/s] 100%|██████████| 14/14 [00:04<00:00, 3.72it/s] 100%|██████████| 14/14 [00:04<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.54it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.55it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.59it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.54it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.49it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.50it/s] 50%|█████ | 7/14 [00:02<00:02, 2.67it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.77it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.76it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.70it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.70it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.72it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.05it/s] 100%|██████████| 14/14 [00:04<00:00, 3.64it/s] 100%|██████████| 14/14 [00:04<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 3.1ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.26it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.36it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.48it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.47it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.55it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.67it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.77it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.76it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.70it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.72it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.74it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.12it/s] 100%|██████████| 14/14 [00:04<00:00, 3.74it/s] 100%|██████████| 14/14 [00:04<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.56it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.45it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.54it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.50it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.56it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.55it/s] 50%|█████ | 7/14 [00:02<00:02, 2.71it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.81it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.81it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.75it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.75it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.77it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.15it/s] 100%|██████████| 14/14 [00:04<00:00, 3.77it/s] 100%|██████████| 14/14 [00:04<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
1girl, (nightgown:1.1), demon wing, low wings, tail, cafe, tavern, sitting, crossed legs, facing viewer, ((Establishing Shot, Ground Level Shot, Full Front Staging, Looking At Viewer, Face, Front)), Volumetric Lighting, Volumetric Light, Volumetric, <lora:more_details:0.4>
negative_prompt
Specify things to not see in the output
missing wings, missing horns, Nsfw:1.7, topless, nude, ((more than 2 feet)), ((more than 2 legs)), (worst quality, low quality, large head, extra digits:1.4), EasyNegativeV2, bad_prompt_version2-neg, ng_deepnegative_v1_75t, blurry, monochrome, grayscale,
num_outputs
Number of output images
4
width
Output image width
768
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
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
-0.4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
4017901778
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
30
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)
EasyNegativeV2.safetensors
embedding_2
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_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/4f6d07383fee491184e83ce59f4c1ac8/00000-4017901778.webp
https://files.tungsten.run/uploads/7d5ea60e6c634e4d87aa094f0adeab85/00001-4017901779.webp
https://files.tungsten.run/uploads/a186743777094d688621be59724e581a/00002-4017901780.webp
https://files.tungsten.run/uploads/62f3618b0283438eb95a61c7f9219686/00003-4017901781.webp
Finished in 109.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: 1girl, (nightgown:1.1), demon wing, low wings, tail, cafe, tavern, sitting, crossed legs, facing viewer, ((Establishing Shot, Ground Level Shot, Full Front Staging, Looking At Viewer, Face, Front)), Volumetric Lighting, Volumetric Light, Volumetric, <lora:more_details:0.4>, <lora:add_saturation:-0.4> Full negative prompt: missing wings, missing horns, Nsfw:1.7, topless, nude, ((more than 2 feet)), ((more than 2 legs)), (worst quality, low quality, large head, extra digits:1.4), EasyNegativeV2, bad_prompt_version2-neg, ng_deepnegative_v1_75t, blurry, monochrome, grayscale, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:49, 1.72s/it] 7%|▋ | 2/30 [00:03<00:48, 1.73s/it] 10%|█ | 3/30 [00:05<00:46, 1.73s/it] 13%|█▎ | 4/30 [00:06<00:45, 1.75s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.80s/it] 20%|██ | 6/30 [00:10<00:43, 1.82s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.77s/it] 27%|██▋ | 8/30 [00:14<00:38, 1.75s/it] 30%|███ | 9/30 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Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 22.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.90it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.22it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.40it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.42it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.51it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.50it/s] 50%|█████ | 7/14 [00:02<00:02, 2.67it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.72it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.73it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.68it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.70it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.72it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.11it/s] 100%|██████████| 14/14 [00:04<00:00, 3.72it/s] 100%|██████████| 14/14 [00:04<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.55it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.59it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.54it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.58it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.56it/s] 50%|█████ | 7/14 [00:02<00:02, 2.69it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.76it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.71it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.64it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.58it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.64it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.03it/s] 100%|██████████| 14/14 [00:04<00:00, 3.65it/s] 100%|██████████| 14/14 [00:04<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 2.7ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.55it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.55it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.59it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.54it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.59it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.56it/s] 50%|█████ | 7/14 [00:02<00:02, 2.71it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.77it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.72it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.65it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.64it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.67it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.04it/s] 100%|██████████| 14/14 [00:04<00:00, 3.65it/s] 100%|██████████| 14/14 [00:04<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.49it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.49it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.54it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.50it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.55it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.68it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.77it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.75it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.69it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.70it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.71it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.09it/s] 100%|██████████| 14/14 [00:04<00:00, 3.71it/s] 100%|██████████| 14/14 [00:04<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 8.5ms Speed: 2.9ms preprocess, 8.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.44it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.50it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.57it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.53it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.58it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.56it/s] 50%|█████ | 7/14 [00:02<00:02, 2.70it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.79it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.77it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.70it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.69it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.71it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.09it/s] 100%|██████████| 14/14 [00:04<00:00, 3.71it/s] 100%|██████████| 14/14 [00:04<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.17it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.38it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.46it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.45it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.50it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.50it/s] 50%|█████ | 7/14 [00:02<00:02, 2.67it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.74it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.75it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.70it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.71it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.72it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.10it/s] 100%|██████████| 14/14 [00:04<00:00, 3.72it/s] 100%|██████████| 14/14 [00:04<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.54it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.55it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.59it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.54it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.49it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.50it/s] 50%|█████ | 7/14 [00:02<00:02, 2.67it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.77it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.76it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.70it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.70it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.72it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.05it/s] 100%|██████████| 14/14 [00:04<00:00, 3.64it/s] 100%|██████████| 14/14 [00:04<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 3.1ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.26it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.36it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.48it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.47it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.55it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.53it/s] 50%|█████ | 7/14 [00:02<00:02, 2.67it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.77it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.76it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.70it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.72it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.74it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.12it/s] 100%|██████████| 14/14 [00:04<00:00, 3.74it/s] 100%|██████████| 14/14 [00:04<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.56it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.45it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.54it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.50it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.56it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.55it/s] 50%|█████ | 7/14 [00:02<00:02, 2.71it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.81it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.81it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.75it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.75it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.77it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.15it/s] 100%|██████████| 14/14 [00:04<00:00, 3.77it/s] 100%|██████████| 14/14 [00:04<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.