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WWII Female Soldier with Hello World SDXL
hello-world-sdxl:v3.2
evevalentine2017
evevalentine2017
·
Jan 26
351
Input
prompt
Specify things to see in the output
Beautiful woman, beautiful face, cute expression, (masterpiece:1.5, best quality), cinematic, ww2 style, <lora:SDXL Detail:1>
negative_prompt
Specify things to not see in the output
(worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark,
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
946353207
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
Restart
samping_steps
Number of denoising steps
33
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
SDXL Detail.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)
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/4183e50958264c5487921113d738f638/00000-946353207.webp
https://files.tungsten.run/uploads/bd5e359c878b423da5b3c38f54e449cb/00001-946353208.webp
https://files.tungsten.run/uploads/fdcfd81b9e424769bbcfc6b847571d0c/00002-946353209.webp
Finished in 158.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Beautiful woman, beautiful face, cute expression, (masterpiece:1.5, best quality), cinematic, ww2 style, <lora:SDXL Detail:1> Full negative prompt: (worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark, 0%| | 0/33 [00:00<?, ?it/s] 3%|▎ | 1/33 [00:03<02:02, 3.82s/it] 6%|▌ | 2/33 [00:06<01:35, 3.09s/it] 9%|▉ | 3/33 [00:09<01:26, 2.87s/it] 12%|█▏ | 4/33 [00:11<01:20, 2.77s/it] 15%|█▌ | 5/33 [00:14<01:16, 2.73s/it] 18%|█▊ | 6/33 [00:16<01:12, 2.70s/it] 21%|██ | 7/33 [00:19<01:09, 2.68s/it] 24%|██▍ | 8/33 [00:22<01:07, 2.68s/it] 27%|██▋ | 9/33 [00:24<01:04, 2.68s/it] 30%|███ | 10/33 [00:27<01:01, 2.68s/it] 33%|███▎ | 11/33 [00:30<00:59, 2.69s/it] 36%|███▋ | 12/33 [00:33<00:56, 2.69s/it] 39%|███▉ | 13/33 [00:35<00:53, 2.70s/it] 42%|████▏ | 14/33 [00:38<00:51, 2.70s/it] 45%|████▌ | 15/33 [00:41<00:48, 2.71s/it] 48%|████▊ | 16/33 [00:43<00:46, 2.71s/it] 52%|█████▏ | 17/33 [00:46<00:43, 2.71s/it] 55%|█████▍ | 18/33 [00:49<00:40, 2.71s/it] 58%|█████▊ | 19/33 [00:51<00:37, 2.70s/it] 61%|██████ | 20/33 [00:54<00:35, 2.70s/it] 64%|██████▎ | 21/33 [00:57<00:32, 2.70s/it] 67%|██████▋ | 22/33 [01:00<00:29, 2.69s/it] 70%|██████▉ | 23/33 [01:02<00:26, 2.69s/it] 73%|███████▎ | 24/33 [01:05<00:24, 2.68s/it] 76%|███████▌ | 25/33 [01:08<00:21, 2.67s/it] 79%|███████▉ | 26/33 [01:10<00:18, 2.67s/it] 82%|████████▏ | 27/33 [01:13<00:15, 2.66s/it] 85%|████████▍ | 28/33 [01:15<00:13, 2.66s/it] 88%|████████▊ | 29/33 [01:18<00:10, 2.66s/it] 91%|█████████ | 30/33 [01:21<00:07, 2.66s/it] 94%|█████████▍| 31/33 [01:23<00:05, 2.66s/it] 97%|█████████▋| 32/33 [01:26<00:02, 2.66s/it] 100%|██████████| 33/33 [01:27<00:00, 2.27s/it] 100%|██████████| 33/33 [01:27<00:00, 2.67s/it] Decoding latents in cuda:0... done in 2.39s Move latents to cpu... done in 0.03s 0: 640x640 2 faces, 7.9ms Speed: 3.6ms preprocess, 7.9ms inference, 28.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.17it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.22it/s] 20%|██ | 3/15 [00:02<00:09, 1.23it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.22it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.23it/s] 40%|████ | 6/15 [00:04<00:07, 1.24it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.24it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.25it/s] 60%|██████ | 9/15 [00:07<00:04, 1.25it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.24it/s] 73%|███████▎ | 11/15 [00:08<00:03, 1.24it/s] 80%|████████ | 12/15 [00:09<00:02, 1.24it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.24it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.24it/s] 100%|██████████| 15/15 [00:11<00:00, 1.46it/s] 100%|██████████| 15/15 [00:11<00:00, 1.28it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.26it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.24it/s] 20%|██ | 3/15 [00:02<00:09, 1.24it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.24it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.24it/s] 40%|████ | 6/15 [00:05<00:07, 1.15it/s] 47%|████▋ | 7/15 [00:06<00:07, 1.04it/s] 53%|█████▎ | 8/15 [00:07<00:06, 1.01it/s] 60%|██████ | 9/15 [00:08<00:05, 1.06it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.11it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.15it/s] 80%|████████ | 12/15 [00:10<00:02, 1.17it/s] 87%|████████▋ | 13/15 [00:11<00:01, 1.18it/s] 93%|█████████▎| 14/15 [00:12<00:00, 1.20it/s] 100%|██████████| 15/15 [00:12<00:00, 1.41it/s] 100%|██████████| 15/15 [00:12<00:00, 1.20it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 9.2ms Speed: 3.9ms preprocess, 9.2ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:10, 1.28it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.24it/s] 20%|██ | 3/15 [00:02<00:09, 1.23it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.22it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.23it/s] 40%|████ | 6/15 [00:04<00:07, 1.23it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.23it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.22it/s] 60%|██████ | 9/15 [00:07<00:04, 1.22it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.22it/s] 73%|███████▎ | 11/15 [00:08<00:03, 1.22it/s] 80%|████████ | 12/15 [00:09<00:02, 1.22it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.22it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.23it/s] 100%|██████████| 15/15 [00:11<00:00, 1.44it/s] 100%|██████████| 15/15 [00:11<00:00, 1.27it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms 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, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:10, 1.28it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.24it/s] 20%|██ | 3/15 [00:02<00:09, 1.23it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.23it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.23it/s] 40%|████ | 6/15 [00:04<00:07, 1.23it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.23it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.23it/s] 60%|██████ | 9/15 [00:07<00:04, 1.22it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.23it/s] 73%|███████▎ | 11/15 [00:08<00:03, 1.23it/s] 80%|████████ | 12/15 [00:09<00:02, 1.23it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.23it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.23it/s] 100%|██████████| 15/15 [00:11<00:00, 1.44it/s] 100%|██████████| 15/15 [00:11<00:00, 1.27it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 3.4ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
Beautiful woman, beautiful face, cute expression, (masterpiece:1.5, best quality), cinematic, ww2 style, <lora:SDXL Detail:1>
negative_prompt
Specify things to not see in the output
(worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark,
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
946353207
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
Restart
samping_steps
Number of denoising steps
33
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
SDXL Detail.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)
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/4183e50958264c5487921113d738f638/00000-946353207.webp
https://files.tungsten.run/uploads/bd5e359c878b423da5b3c38f54e449cb/00001-946353208.webp
https://files.tungsten.run/uploads/fdcfd81b9e424769bbcfc6b847571d0c/00002-946353209.webp
Finished in 158.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Beautiful woman, beautiful face, cute expression, (masterpiece:1.5, best quality), cinematic, ww2 style, <lora:SDXL Detail:1> Full negative prompt: (worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark, 0%| | 0/33 [00:00<?, ?it/s] 3%|▎ | 1/33 [00:03<02:02, 3.82s/it] 6%|▌ | 2/33 [00:06<01:35, 3.09s/it] 9%|▉ | 3/33 [00:09<01:26, 2.87s/it] 12%|█▏ | 4/33 [00:11<01:20, 2.77s/it] 15%|█▌ | 5/33 [00:14<01:16, 2.73s/it] 18%|█▊ | 6/33 [00:16<01:12, 2.70s/it] 21%|██ | 7/33 [00:19<01:09, 2.68s/it] 24%|██▍ | 8/33 [00:22<01:07, 2.68s/it] 27%|██▋ | 9/33 [00:24<01:04, 2.68s/it] 30%|███ | 10/33 [00:27<01:01, 2.68s/it] 33%|███▎ | 11/33 [00:30<00:59, 2.69s/it] 36%|███▋ | 12/33 [00:33<00:56, 2.69s/it] 39%|███▉ | 13/33 [00:35<00:53, 2.70s/it] 42%|████▏ | 14/33 [00:38<00:51, 2.70s/it] 45%|████▌ | 15/33 [00:41<00:48, 2.71s/it] 48%|████▊ | 16/33 [00:43<00:46, 2.71s/it] 52%|█████▏ | 17/33 [00:46<00:43, 2.71s/it] 55%|█████▍ | 18/33 [00:49<00:40, 2.71s/it] 58%|█████▊ | 19/33 [00:51<00:37, 2.70s/it] 61%|██████ | 20/33 [00:54<00:35, 2.70s/it] 64%|██████▎ | 21/33 [00:57<00:32, 2.70s/it] 67%|██████▋ | 22/33 [01:00<00:29, 2.69s/it] 70%|██████▉ | 23/33 [01:02<00:26, 2.69s/it] 73%|███████▎ | 24/33 [01:05<00:24, 2.68s/it] 76%|███████▌ | 25/33 [01:08<00:21, 2.67s/it] 79%|███████▉ | 26/33 [01:10<00:18, 2.67s/it] 82%|████████▏ | 27/33 [01:13<00:15, 2.66s/it] 85%|████████▍ | 28/33 [01:15<00:13, 2.66s/it] 88%|████████▊ | 29/33 [01:18<00:10, 2.66s/it] 91%|█████████ | 30/33 [01:21<00:07, 2.66s/it] 94%|█████████▍| 31/33 [01:23<00:05, 2.66s/it] 97%|█████████▋| 32/33 [01:26<00:02, 2.66s/it] 100%|██████████| 33/33 [01:27<00:00, 2.27s/it] 100%|██████████| 33/33 [01:27<00:00, 2.67s/it] Decoding latents in cuda:0... done in 2.39s Move latents to cpu... done in 0.03s 0: 640x640 2 faces, 7.9ms Speed: 3.6ms preprocess, 7.9ms inference, 28.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.17it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.22it/s] 20%|██ | 3/15 [00:02<00:09, 1.23it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.22it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.23it/s] 40%|████ | 6/15 [00:04<00:07, 1.24it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.24it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.25it/s] 60%|██████ | 9/15 [00:07<00:04, 1.25it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.24it/s] 73%|███████▎ | 11/15 [00:08<00:03, 1.24it/s] 80%|████████ | 12/15 [00:09<00:02, 1.24it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.24it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.24it/s] 100%|██████████| 15/15 [00:11<00:00, 1.46it/s] 100%|██████████| 15/15 [00:11<00:00, 1.28it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:11, 1.26it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.24it/s] 20%|██ | 3/15 [00:02<00:09, 1.24it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.24it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.24it/s] 40%|████ | 6/15 [00:05<00:07, 1.15it/s] 47%|████▋ | 7/15 [00:06<00:07, 1.04it/s] 53%|█████▎ | 8/15 [00:07<00:06, 1.01it/s] 60%|██████ | 9/15 [00:08<00:05, 1.06it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.11it/s] 73%|███████▎ | 11/15 [00:09<00:03, 1.15it/s] 80%|████████ | 12/15 [00:10<00:02, 1.17it/s] 87%|████████▋ | 13/15 [00:11<00:01, 1.18it/s] 93%|█████████▎| 14/15 [00:12<00:00, 1.20it/s] 100%|██████████| 15/15 [00:12<00:00, 1.41it/s] 100%|██████████| 15/15 [00:12<00:00, 1.20it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 9.2ms Speed: 3.9ms preprocess, 9.2ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:10, 1.28it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.24it/s] 20%|██ | 3/15 [00:02<00:09, 1.23it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.22it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.23it/s] 40%|████ | 6/15 [00:04<00:07, 1.23it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.23it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.22it/s] 60%|██████ | 9/15 [00:07<00:04, 1.22it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.22it/s] 73%|███████▎ | 11/15 [00:08<00:03, 1.22it/s] 80%|████████ | 12/15 [00:09<00:02, 1.22it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.22it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.23it/s] 100%|██████████| 15/15 [00:11<00:00, 1.44it/s] 100%|██████████| 15/15 [00:11<00:00, 1.27it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms 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, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:10, 1.28it/s] 13%|█▎ | 2/15 [00:01<00:10, 1.24it/s] 20%|██ | 3/15 [00:02<00:09, 1.23it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.23it/s] 33%|███▎ | 5/15 [00:04<00:08, 1.23it/s] 40%|████ | 6/15 [00:04<00:07, 1.23it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.23it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.23it/s] 60%|██████ | 9/15 [00:07<00:04, 1.22it/s] 67%|██████▋ | 10/15 [00:08<00:04, 1.23it/s] 73%|███████▎ | 11/15 [00:08<00:03, 1.23it/s] 80%|████████ | 12/15 [00:09<00:02, 1.23it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.23it/s] 93%|█████████▎| 14/15 [00:11<00:00, 1.23it/s] 100%|██████████| 15/15 [00:11<00:00, 1.44it/s] 100%|██████████| 15/15 [00:11<00:00, 1.27it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 3.4ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.