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Arwen (L.O.T.R.) with Arthemy Real
arthemy-real:v1.0
evevalentine2017
evevalentine2017
·
Jan 9
364
Input
prompt
Specify things to see in the output
(masterpiece), (best quality), (absurdres), (real life photo), (ultra detailed), (traditional fine arts:1.4), (analog photo grain:1.3), Arwen, a4rw3n, gorgeous brunette elven in an elven home, blue eyes, white dress, diadem, (beautiful:1.2), pale skin, complex lighting, (atmosphere), coherent, continuity, epic, sharp lines, (medieval setting:1.0), <lora:Arwen:0.6>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream
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
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2166178671
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 Heun Exponential
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Arwen.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
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)
BadDream.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/3b533256cc26495e85d1b2d260793e37/00000-2166178671.webp
https://files.tungsten.run/uploads/5a1f5dcfe462478697eada17e0ac3027/00001-2166178672.webp
https://files.tungsten.run/uploads/ef1ff3a6043e4ae68786cd64e2f9e7b8/00002-2166178673.webp
https://files.tungsten.run/uploads/786fe85b8ec44b1a91ea7c12b7cc3840/00003-2166178674.webp
Finished in 132.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: (masterpiece), (best quality), (absurdres), (real life photo), (ultra detailed), (traditional fine arts:1.4), (analog photo grain:1.3), Arwen, a4rw3n, gorgeous brunette elven in an elven home, blue eyes, white dress, diadem, (beautiful:1.2), pale skin, complex lighting, (atmosphere), coherent, continuity, epic, sharp lines, (medieval setting:1.0), <lora:Arwen:0.6>, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:1.0> Full negative prompt: (worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<01:42, 2.09s/it] 4%|▍ | 2/50 [00:03<01:29, 1.87s/it] 6%|▌ | 3/50 [00:05<01:27, 1.85s/it] 8%|▊ | 4/50 [00:07<01:26, 1.87s/it] 10%|█ | 5/50 [00:09<01:23, 1.86s/it] 12%|█▏ | 6/50 [00:11<01:22, 1.87s/it] 14%|█▍ | 7/50 [00:13<01:19, 1.86s/it] 16%|█▌ | 8/50 [00:14<01:17, 1.84s/it] 18%|█▊ | 9/50 [00:16<01:16, 1.86s/it] 20%|██ | 10/50 [00:18<01:13, 1.84s/it] 22%|██▏ | 11/50 [00:20<01:11, 1.82s/it] 24%|██▍ | 12/50 [00:22<01:08, 1.81s/it] 26%|██▌ | 13/50 [00:23<01:05, 1.78s/it] 28%|██▊ | 14/50 [00:25<01:05, 1.81s/it] 30%|███ | 15/50 [00:27<01:02, 1.79s/it] 32%|███▏ | 16/50 [00:29<01:01, 1.80s/it] 34%|███▍ | 17/50 [00:31<00:58, 1.77s/it] 36%|███▌ | 18/50 [00:32<00:57, 1.78s/it] 38%|███▊ | 19/50 [00:34<00:55, 1.79s/it] 40%|████ | 20/50 [00:36<00:51, 1.72s/it] 42%|████▏ | 21/50 [00:37<00:48, 1.68s/it] 44%|████▍ | 22/50 [00:39<00:48, 1.72s/it] 46%|████▌ | 23/50 [00:41<00:46, 1.71s/it] 48%|████▊ | 24/50 [00:42<00:43, 1.66s/it] 50%|█████ | 25/50 [00:44<00:41, 1.68s/it] 52%|█████▏ | 26/50 [00:46<00:39, 1.67s/it] 54%|█████▍ | 27/50 [00:47<00:37, 1.61s/it] 56%|█████▌ | 28/50 [00:49<00:35, 1.59s/it] 58%|█████▊ | 29/50 [00:50<00:32, 1.53s/it] 60%|██████ | 30/50 [00:52<00:31, 1.59s/it] 62%|██████▏ | 31/50 [00:53<00:30, 1.58s/it] 64%|██████▍ | 32/50 [00:55<00:28, 1.58s/it] 66%|██████▌ | 33/50 [00:57<00:27, 1.61s/it] 68%|██████▊ | 34/50 [00:58<00:25, 1.57s/it] 70%|███████ | 35/50 [00:59<00:22, 1.49s/it] 72%|███████▏ | 36/50 [01:01<00:20, 1.46s/it] 74%|███████▍ | 37/50 [01:02<00:19, 1.51s/it] 76%|███████▌ | 38/50 [01:04<00:17, 1.50s/it] 78%|███████▊ | 39/50 [01:05<00:16, 1.49s/it] 80%|████████ | 40/50 [01:07<00:14, 1.44s/it] 82%|████████▏ | 41/50 [01:08<00:13, 1.47s/it] 84%|████████▍ | 42/50 [01:10<00:11, 1.43s/it] 86%|████████▌ | 43/50 [01:11<00:10, 1.47s/it] 88%|████████▊ | 44/50 [01:13<00:08, 1.46s/it] 90%|█████████ | 45/50 [01:14<00:07, 1.42s/it] 92%|█████████▏| 46/50 [01:15<00:05, 1.38s/it] 94%|█████████▍| 47/50 [01:17<00:04, 1.45s/it] 96%|█████████▌| 48/50 [01:18<00:02, 1.37s/it] 98%|█████████▊| 49/50 [01:19<00:01, 1.17s/it] 100%|██████████| 50/50 [01:19<00:00, 1.01s/it] 100%|██████████| 50/50 [01:19<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.6ms Speed: 2.9ms preprocess, 8.6ms inference, 22.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:13, 1.60it/s] 9%|▊ | 2/23 [00:01<00:10, 2.08it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.06it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.17it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.21it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.20it/s] 30%|███ | 7/23 [00:03<00:07, 2.28it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.38it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.45it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.38it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.39it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.40it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.46it/s] 61%|██████ | 14/23 [00:06<00:03, 2.42it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.49it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.46it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.50it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.58it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.61it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.98it/s] 100%|██████████| 23/23 [00:09<00:00, 3.38it/s] 100%|██████████| 23/23 [00:09<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.26it/s] 9%|▊ | 2/23 [00:00<00:08, 2.38it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.27it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.28it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.25it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.22it/s] 30%|███ | 7/23 [00:03<00:07, 2.27it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.38it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.42it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.34it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.38it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.37it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.42it/s] 61%|██████ | 14/23 [00:06<00:03, 2.34it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.41it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.34it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.42it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.44it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.52it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.84it/s] 100%|██████████| 23/23 [00:09<00:00, 3.27it/s] 100%|██████████| 23/23 [00:09<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.4ms Speed: 2.7ms preprocess, 8.4ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.26it/s] 9%|▊ | 2/23 [00:00<00:08, 2.41it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.29it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.31it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.30it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.24it/s] 30%|███ | 7/23 [00:03<00:06, 2.31it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.37it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.42it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.38it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.37it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.40it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.48it/s] 61%|██████ | 14/23 [00:05<00:03, 2.42it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.49it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.45it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.51it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.54it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.47it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.59it/s] 96%|█████████▌| 22/23 [00:08<00:00, 2.91it/s] 100%|██████████| 23/23 [00:09<00:00, 3.32it/s] 100%|██████████| 23/23 [00:09<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.6ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.22it/s] 9%|▊ | 2/23 [00:00<00:08, 2.45it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.30it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.29it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.31it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.26it/s] 30%|███ | 7/23 [00:03<00:06, 2.32it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.43it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.47it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.40it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.43it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.43it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.50it/s] 61%|██████ | 14/23 [00:05<00:03, 2.43it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.50it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.45it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.48it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.55it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.57it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.59it/s] 96%|█████████▌| 22/23 [00:08<00:00, 2.96it/s] 100%|██████████| 23/23 [00:09<00:00, 3.37it/s] 100%|██████████| 23/23 [00:09<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.5ms Speed: 3.2ms preprocess, 8.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterpiece), (best quality), (absurdres), (real life photo), (ultra detailed), (traditional fine arts:1.4), (analog photo grain:1.3), Arwen, a4rw3n, gorgeous brunette elven in an elven home, blue eyes, white dress, diadem, (beautiful:1.2), pale skin, complex lighting, (atmosphere), coherent, continuity, epic, sharp lines, (medieval setting:1.0), <lora:Arwen:0.6>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream
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
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2166178671
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 Heun Exponential
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Arwen.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
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)
BadDream.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/3b533256cc26495e85d1b2d260793e37/00000-2166178671.webp
https://files.tungsten.run/uploads/5a1f5dcfe462478697eada17e0ac3027/00001-2166178672.webp
https://files.tungsten.run/uploads/ef1ff3a6043e4ae68786cd64e2f9e7b8/00002-2166178673.webp
https://files.tungsten.run/uploads/786fe85b8ec44b1a91ea7c12b7cc3840/00003-2166178674.webp
Finished in 132.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: (masterpiece), (best quality), (absurdres), (real life photo), (ultra detailed), (traditional fine arts:1.4), (analog photo grain:1.3), Arwen, a4rw3n, gorgeous brunette elven in an elven home, blue eyes, white dress, diadem, (beautiful:1.2), pale skin, complex lighting, (atmosphere), coherent, continuity, epic, sharp lines, (medieval setting:1.0), <lora:Arwen:0.6>, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:1.0> Full negative prompt: (worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<01:42, 2.09s/it] 4%|▍ | 2/50 [00:03<01:29, 1.87s/it] 6%|▌ | 3/50 [00:05<01:27, 1.85s/it] 8%|▊ | 4/50 [00:07<01:26, 1.87s/it] 10%|█ | 5/50 [00:09<01:23, 1.86s/it] 12%|█▏ | 6/50 [00:11<01:22, 1.87s/it] 14%|█▍ | 7/50 [00:13<01:19, 1.86s/it] 16%|█▌ | 8/50 [00:14<01:17, 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1.58s/it] 66%|██████▌ | 33/50 [00:57<00:27, 1.61s/it] 68%|██████▊ | 34/50 [00:58<00:25, 1.57s/it] 70%|███████ | 35/50 [00:59<00:22, 1.49s/it] 72%|███████▏ | 36/50 [01:01<00:20, 1.46s/it] 74%|███████▍ | 37/50 [01:02<00:19, 1.51s/it] 76%|███████▌ | 38/50 [01:04<00:17, 1.50s/it] 78%|███████▊ | 39/50 [01:05<00:16, 1.49s/it] 80%|████████ | 40/50 [01:07<00:14, 1.44s/it] 82%|████████▏ | 41/50 [01:08<00:13, 1.47s/it] 84%|████████▍ | 42/50 [01:10<00:11, 1.43s/it] 86%|████████▌ | 43/50 [01:11<00:10, 1.47s/it] 88%|████████▊ | 44/50 [01:13<00:08, 1.46s/it] 90%|█████████ | 45/50 [01:14<00:07, 1.42s/it] 92%|█████████▏| 46/50 [01:15<00:05, 1.38s/it] 94%|█████████▍| 47/50 [01:17<00:04, 1.45s/it] 96%|█████████▌| 48/50 [01:18<00:02, 1.37s/it] 98%|█████████▊| 49/50 [01:19<00:01, 1.17s/it] 100%|██████████| 50/50 [01:19<00:00, 1.01s/it] 100%|██████████| 50/50 [01:19<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.6ms Speed: 2.9ms preprocess, 8.6ms inference, 22.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:13, 1.60it/s] 9%|▊ | 2/23 [00:01<00:10, 2.08it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.06it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.17it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.21it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.20it/s] 30%|███ | 7/23 [00:03<00:07, 2.28it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.38it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.45it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.38it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.39it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.40it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.46it/s] 61%|██████ | 14/23 [00:06<00:03, 2.42it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.49it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.46it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.50it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.58it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.61it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.98it/s] 100%|██████████| 23/23 [00:09<00:00, 3.38it/s] 100%|██████████| 23/23 [00:09<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.26it/s] 9%|▊ | 2/23 [00:00<00:08, 2.38it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.27it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.28it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.25it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.22it/s] 30%|███ | 7/23 [00:03<00:07, 2.27it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.38it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.42it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.34it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.38it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.37it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.42it/s] 61%|██████ | 14/23 [00:06<00:03, 2.34it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.41it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.34it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.42it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.44it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.52it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.84it/s] 100%|██████████| 23/23 [00:09<00:00, 3.27it/s] 100%|██████████| 23/23 [00:09<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.4ms Speed: 2.7ms preprocess, 8.4ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, 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[00:09<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.6ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.22it/s] 9%|▊ | 2/23 [00:00<00:08, 2.45it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.30it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.29it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.31it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.26it/s] 30%|███ | 7/23 [00:03<00:06, 2.32it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.43it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.47it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.40it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.43it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.43it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.50it/s] 61%|██████ | 14/23 [00:05<00:03, 2.43it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.50it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.45it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.48it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.55it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.57it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.59it/s] 96%|█████████▌| 22/23 [00:08<00:00, 2.96it/s] 100%|██████████| 23/23 [00:09<00:00, 3.37it/s] 100%|██████████| 23/23 [00:09<00:00, 2.55it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.5ms Speed: 3.2ms preprocess, 8.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.