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Winter Outfit with AW Painting
aw-painting:v1.2
evevalentine2017
evevalentine2017
·
12/17/2023
362
Input
prompt
Specify things to see in the output
(High Quality:1.4), (Best Quality:1.4), (masterpiece:1.4), official art, official wallpaper, 4k textures, hair rings, bow, (blue eyes:1.21), (blue hair:1.21), hair ornament, smile, (wearing edgEF eastern clothing, edgEF, a dress with a cape and a dress with a snowflake on it) (detailed:1.05), (extremely detailed:1.06), sharp focus, (intricate:1.03), (extremely intricate:1.04), low contrast, soft cinematic light, vibrant colors, HDR, [beautiful face:0.9], [perfect eyes:0.8], [detailed skin:0.8], [detailed face:0.8], [detailed eyes:0.8], [detailed hair:0.8], [detailed lips:0.8],
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1256557219
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
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
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)
bad-hands-5.pt
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)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/a734ef4a8145411f9c7a61974ca37ab1/00000-1256557219.webp
https://files.tungsten.run/uploads/646deefa148b4351b05d788d9fbb1c87/00001-1256557220.webp
https://files.tungsten.run/uploads/813ab2f66cb34d0c97e23f5687442c56/00002-1256557221.webp
https://files.tungsten.run/uploads/b39bdc1da59d4f349695c76de9101708/00003-1256557222.webp
Finished in 94.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (High Quality:1.4), (Best Quality:1.4), (masterpiece:1.4), official art, official wallpaper, 4k textures, hair rings, bow, (blue eyes:1.21), (blue hair:1.21), hair ornament, smile, (wearing edgEF eastern clothing, edgEF, a dress with a cape and a dress with a snowflake on it) (detailed:1.05), (extremely detailed:1.06), sharp focus, (intricate:1.03), (extremely intricate:1.04), low contrast, soft cinematic light, vibrant colors, HDR, [beautiful face:0.9], [perfect eyes:0.8], [detailed skin:0.8], [detailed face:0.8], [detailed eyes:0.8], [detailed hair:0.8], [detailed lips:0.8], Full negative prompt: ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:27, 1.44it/s] 5%|▌ | 2/40 [00:01<00:25, 1.49it/s] 8%|▊ | 3/40 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[00:04<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.83it/s] 9%|▊ | 2/23 [00:00<00:04, 4.87it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.74it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.81it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.87it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.92it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.89it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.89it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.88it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.88it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.84it/s] 61%|██████ | 14/23 [00:02<00:01, 4.87it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.88it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.90it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.88it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.93it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.94it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.87it/s] 9%|▊ | 2/23 [00:00<00:04, 4.87it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.68it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.79it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.85it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.89it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.92it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.92it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.92it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.91it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.92it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.91it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.90it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.87it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.87it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.88it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.82it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:05, 4.29it/s] 9%|▊ | 2/23 [00:00<00:04, 4.65it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.70it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.74it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.67it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.76it/s] 30%|███ | 7/23 [00:01<00:03, 4.79it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.84it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.87it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.90it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.85it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.84it/s] 61%|██████ | 14/23 [00:02<00:01, 4.83it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.85it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.83it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.85it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.90it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.83it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.87it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.87it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] 100%|██████████| 23/23 [00:04<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.72it/s] 9%|▊ | 2/23 [00:00<00:04, 4.82it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.85it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.87it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.86it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.84it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.84it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.85it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.90it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.92it/s] 61%|██████ | 14/23 [00:02<00:01, 4.89it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.89it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.90it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.92it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.91it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.96it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.86it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.83it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.84it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.88it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.91it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.79it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.85it/s] 30%|███ | 7/23 [00:01<00:03, 4.85it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.84it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.78it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.88it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.90it/s] 61%|██████ | 14/23 [00:02<00:01, 4.91it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.86it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.86it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.89it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.91it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.91it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.90it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.91it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.99it/s] 13%|█▎ | 3/23 [00:00<00:04, 5.00it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.01it/s] 22%|██▏ | 5/23 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cuda:0... done in 0.42s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(High Quality:1.4), (Best Quality:1.4), (masterpiece:1.4), official art, official wallpaper, 4k textures, hair rings, bow, (blue eyes:1.21), (blue hair:1.21), hair ornament, smile, (wearing edgEF eastern clothing, edgEF, a dress with a cape and a dress with a snowflake on it) (detailed:1.05), (extremely detailed:1.06), sharp focus, (intricate:1.03), (extremely intricate:1.04), low contrast, soft cinematic light, vibrant colors, HDR, [beautiful face:0.9], [perfect eyes:0.8], [detailed skin:0.8], [detailed face:0.8], [detailed eyes:0.8], [detailed hair:0.8], [detailed lips:0.8],
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1256557219
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
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
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)
bad-hands-5.pt
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)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/a734ef4a8145411f9c7a61974ca37ab1/00000-1256557219.webp
https://files.tungsten.run/uploads/646deefa148b4351b05d788d9fbb1c87/00001-1256557220.webp
https://files.tungsten.run/uploads/813ab2f66cb34d0c97e23f5687442c56/00002-1256557221.webp
https://files.tungsten.run/uploads/b39bdc1da59d4f349695c76de9101708/00003-1256557222.webp
Finished in 94.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (High Quality:1.4), (Best Quality:1.4), (masterpiece:1.4), official art, official wallpaper, 4k textures, hair rings, bow, (blue eyes:1.21), (blue hair:1.21), hair ornament, smile, (wearing edgEF eastern clothing, edgEF, a dress with a cape and a dress with a snowflake on it) (detailed:1.05), (extremely detailed:1.06), sharp focus, (intricate:1.03), (extremely intricate:1.04), low contrast, soft cinematic light, vibrant colors, HDR, [beautiful face:0.9], [perfect eyes:0.8], [detailed skin:0.8], [detailed face:0.8], [detailed eyes:0.8], [detailed hair:0.8], [detailed lips:0.8], Full negative prompt: ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:27, 1.44it/s] 5%|▌ | 2/40 [00:01<00:25, 1.49it/s] 8%|▊ | 3/40 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1.51it/s] 70%|███████ | 28/40 [00:18<00:07, 1.52it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.51it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.52it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.52it/s] 80%|████████ | 32/40 [00:21<00:05, 1.51it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.51it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.51it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.51it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.52it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.52it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.51it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.51it/s] 100%|██████████| 40/40 [00:26<00:00, 1.51it/s] 100%|██████████| 40/40 [00:26<00:00, 1.52it/s] Decoding latents in cuda:0... done in 1.68s Move latents to cpu... done in 0.01s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.32it/s] 9%|▊ | 2/23 [00:00<00:06, 3.38it/s] 13%|█▎ | 3/23 [00:00<00:05, 3.94it/s] 17%|█▋ | 4/23 [00:01<00:04, 4.27it/s] 22%|██▏ | 5/23 [00:01<00:04, 4.41it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.58it/s] 30%|███ | 7/23 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4/23 [00:00<00:03, 4.94it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.95it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.95it/s] 30%|███ | 7/23 [00:01<00:03, 4.94it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.94it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.94it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.94it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.94it/s] 61%|██████ | 14/23 [00:02<00:01, 4.94it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.92it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.91it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.91it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.82it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.84it/s] 9%|▊ | 2/23 [00:00<00:04, 4.87it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.91it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.74it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.83it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.91it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.84it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.82it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.87it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.91it/s] 61%|██████ | 14/23 [00:02<00:01, 4.89it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.92it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.91it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.73it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.75it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.79it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.83it/s] 100%|██████████| 23/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.83it/s] 9%|▊ | 2/23 [00:00<00:04, 4.87it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.74it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.81it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.87it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.92it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.89it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.89it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.88it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.88it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.84it/s] 61%|██████ | 14/23 [00:02<00:01, 4.87it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.88it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.90it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.88it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.93it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.94it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.87it/s] 9%|▊ | 2/23 [00:00<00:04, 4.87it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.68it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.79it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.85it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.89it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.92it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.92it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.92it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.91it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.92it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.91it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.90it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.87it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.87it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.88it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.82it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:05, 4.29it/s] 9%|▊ | 2/23 [00:00<00:04, 4.65it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.70it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.74it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.67it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.76it/s] 30%|███ | 7/23 [00:01<00:03, 4.79it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.84it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.87it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.90it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.85it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.84it/s] 61%|██████ | 14/23 [00:02<00:01, 4.83it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.85it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.83it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.85it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.90it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.83it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.87it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.87it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] 100%|██████████| 23/23 [00:04<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.72it/s] 9%|▊ | 2/23 [00:00<00:04, 4.82it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.85it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.87it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.86it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.84it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.84it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.85it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.90it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.92it/s] 61%|██████ | 14/23 [00:02<00:01, 4.89it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.89it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.90it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.92it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.91it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.96it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.86it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.83it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.84it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.88it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.91it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.79it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.85it/s] 30%|███ | 7/23 [00:01<00:03, 4.85it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.84it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.78it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.88it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.90it/s] 61%|██████ | 14/23 [00:02<00:01, 4.91it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.86it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.86it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.89it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.91it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.91it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.90it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.91it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.99it/s] 13%|█▎ | 3/23 [00:00<00:04, 5.00it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.01it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.90it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.94it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.97it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.95it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.96it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.96it/s] 61%|██████ | 14/23 [00:02<00:01, 4.96it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.82it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.82it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.88it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.91it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.90it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.84it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.88it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.56it/s] 9%|▊ | 2/23 [00:00<00:04, 4.74it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.85it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.91it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.93it/s] 30%|███ | 7/23 [00:01<00:03, 4.95it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.98it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.96it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.88it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.88it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.91it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.94it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.88it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.88it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.90it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.91it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.78it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.83it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s Finished.