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Warrior Portraits with Hephaistos SD XL
hephaistos-sd-xl:v3.3
evevalentine2017
evevalentine2017
·
Jan 19
344
Input
prompt
Specify things to see in the output
A realistic photograph of a dirty beautiful 25-year-old princess with tattered and burnt clothes, ripped and torn clothes, standing, exhausted after fighting a dragon, ripped and torn clothing and armor. The princess killed a dragon, masterpiece, best quality, highres, high resolution, extremely detailed, realistic, intricate details, blonde hair, long messy dirty hair, hyper-detailed skin, high quality, best quality, masterpiece, official wallpaper, 4k textures, epic, amazing body, curvaceous figure, slim waist, voluptuous curves, blue eyes, detailed, extremely detailed, sharp focus, intricate, extremely intricate, epic scenery, cinematic lighting, beautiful scenery, detailed scenery, intricate scenery, wonderful scenery, beautiful face, perfect skin, detailed face, detailed eyes, detailed hair, detailed lips, full body shot, realistic lighting and shadows, standing, perfect eyes, covered in soot, dirty, messy, covered in dirt, after an epic battle, dirty skin, medieval, perfect eyes, blue eyes
negative_prompt
Specify things to not see in the output
(ugly face:0.8),cross-eyed,sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), bad anatomy, DeepNegative, Multiple people, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms,extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed,mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, extra arms, extra leg, extra foot, ((repeating hair)), cross-eyed, Asian, looking at viewer
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.
888759615
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
70
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.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)
JuggernautNegative-neg.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/6cddeb731c3a4313a686b19cf8744308/00000-888759615.webp
https://files.tungsten.run/uploads/b66379a6dfca4a418087e7fd3b7d0dae/00001-888759616.webp
https://files.tungsten.run/uploads/e5060f6adbc24ab494baf61d600fa0ba/00002-888759617.webp
Finished in 295.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A realistic photograph of a dirty beautiful 25-year-old princess with tattered and burnt clothes, ripped and torn clothes, standing, exhausted after fighting a dragon, ripped and torn clothing and armor. The princess killed a dragon, masterpiece, best quality, highres, high resolution, extremely detailed, realistic, intricate details, blonde hair, long messy dirty hair, hyper-detailed skin, high quality, best quality, masterpiece, official wallpaper, 4k textures, epic, amazing body, curvaceous figure, slim waist, voluptuous curves, blue eyes, detailed, extremely detailed, sharp focus, intricate, extremely intricate, epic scenery, cinematic lighting, beautiful scenery, detailed scenery, intricate scenery, wonderful scenery, beautiful face, perfect skin, detailed face, detailed eyes, detailed hair, detailed lips, full body shot, realistic lighting and shadows, standing, perfect eyes, covered in soot, dirty, messy, covered in dirt, after an epic battle, dirty skin, medieval, perfect eyes, blue eyes Full negative prompt: (ugly face:0.8),cross-eyed,sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), bad anatomy, DeepNegative, Multiple people, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms,extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed,mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, extra arms, extra leg, extra foot, ((repeating hair)), cross-eyed, Asian, looking at viewer 0%| | 0/70 [00:00<?, ?it/s] 1%|▏ | 1/70 [00:02<02:25, 2.11s/it] 3%|▎ | 2/70 [00:04<02:46, 2.45s/it] 4%|▍ | 3/70 [00:07<02:57, 2.65s/it] 6%|▌ | 4/70 [00:10<02:59, 2.72s/it] 7%|▋ | 5/70 [00:13<03:00, 2.77s/it] 9%|▊ | 6/70 [00:16<03:04, 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640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:28, 1.08it/s] 6%|▋ | 2/32 [00:01<00:25, 1.16it/s] 9%|▉ | 3/32 [00:02<00:24, 1.20it/s] 12%|█▎ | 4/32 [00:03<00:23, 1.21it/s] 16%|█▌ | 5/32 [00:04<00:21, 1.23it/s] 19%|█▉ | 6/32 [00:04<00:20, 1.25it/s] 22%|██▏ | 7/32 [00:05<00:20, 1.22it/s] 25%|██▌ | 8/32 [00:06<00:20, 1.18it/s] 28%|██▊ | 9/32 [00:07<00:19, 1.20it/s] 31%|███▏ | 10/32 [00:08<00:18, 1.22it/s] 34%|███▍ | 11/32 [00:08<00:16, 1.27it/s] 38%|███▊ | 12/32 [00:09<00:15, 1.26it/s] 41%|████ | 13/32 [00:10<00:15, 1.25it/s] 44%|████▍ | 14/32 [00:11<00:14, 1.22it/s] 47%|████▋ | 15/32 [00:12<00:13, 1.24it/s] 50%|█████ | 16/32 [00:13<00:12, 1.23it/s] 53%|█████▎ | 17/32 [00:13<00:12, 1.25it/s] 56%|█████▋ | 18/32 [00:14<00:11, 1.26it/s] 59%|█████▉ | 19/32 [00:15<00:10, 1.27it/s] 62%|██████▎ | 20/32 [00:16<00:09, 1.30it/s] 66%|██████▌ | 21/32 [00:16<00:08, 1.34it/s] 69%|██████▉ | 22/32 [00:17<00:07, 1.34it/s] 72%|███████▏ | 23/32 [00:18<00:06, 1.29it/s] 75%|███████▌ | 24/32 [00:19<00:05, 1.33it/s] 78%|███████▊ | 25/32 [00:19<00:05, 1.32it/s] 81%|████████▏ | 26/32 [00:20<00:04, 1.33it/s] 84%|████████▍ | 27/32 [00:21<00:03, 1.29it/s] 88%|████████▊ | 28/32 [00:22<00:02, 1.36it/s] 91%|█████████ | 29/32 [00:22<00:02, 1.34it/s] 94%|█████████▍| 30/32 [00:23<00:01, 1.36it/s] 97%|█████████▋| 31/32 [00:24<00:00, 1.54it/s] 100%|██████████| 32/32 [00:24<00:00, 1.74it/s] 100%|██████████| 32/32 [00:24<00:00, 1.31it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:26, 1.16it/s] 6%|▋ | 2/32 [00:01<00:24, 1.22it/s] 9%|▉ | 3/32 [00:02<00:23, 1.23it/s] 12%|█▎ | 4/32 [00:03<00:22, 1.22it/s] 16%|█▌ | 5/32 [00:04<00:21, 1.24it/s] 19%|█▉ | 6/32 [00:04<00:20, 1.24it/s] 22%|██▏ | 7/32 [00:05<00:20, 1.23it/s] 25%|██▌ | 8/32 [00:06<00:19, 1.20it/s] 28%|██▊ | 9/32 [00:07<00:18, 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[00:24<00:00, 1.78it/s] 100%|██████████| 32/32 [00:24<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:26, 1.18it/s] 6%|▋ | 2/32 [00:01<00:24, 1.23it/s] 9%|▉ | 3/32 [00:02<00:23, 1.25it/s] 12%|█▎ | 4/32 [00:03<00:22, 1.23it/s] 16%|█▌ | 5/32 [00:04<00:21, 1.25it/s] 19%|█▉ | 6/32 [00:04<00:20, 1.25it/s] 22%|██▏ | 7/32 [00:05<00:20, 1.24it/s] 25%|██▌ | 8/32 [00:06<00:19, 1.21it/s] 28%|██▊ | 9/32 [00:07<00:18, 1.23it/s] 31%|███▏ | 10/32 [00:08<00:17, 1.24it/s] 34%|███▍ | 11/32 [00:08<00:16, 1.29it/s] 38%|███▊ | 12/32 [00:09<00:15, 1.28it/s] 41%|████ | 13/32 [00:10<00:15, 1.26it/s] 44%|████▍ | 14/32 [00:11<00:14, 1.24it/s] 47%|████▋ | 15/32 [00:12<00:13, 1.25it/s] 50%|█████ | 16/32 [00:12<00:12, 1.25it/s] 53%|█████▎ | 17/32 [00:13<00:11, 1.27it/s] 56%|█████▋ | 18/32 [00:14<00:10, 1.27it/s] 59%|█████▉ | 19/32 [00:15<00:10, 1.28it/s] 62%|██████▎ | 20/32 [00:15<00:09, 1.31it/s] 66%|██████▌ | 21/32 [00:16<00:08, 1.35it/s] 69%|██████▉ | 22/32 [00:17<00:07, 1.36it/s] 72%|███████▏ | 23/32 [00:18<00:06, 1.32it/s] 75%|███████▌ | 24/32 [00:18<00:05, 1.37it/s] 78%|███████▊ | 25/32 [00:19<00:05, 1.35it/s] 81%|████████▏ | 26/32 [00:20<00:04, 1.37it/s] 84%|████████▍ | 27/32 [00:21<00:03, 1.33it/s] 88%|████████▊ | 28/32 [00:21<00:02, 1.41it/s] 91%|█████████ | 29/32 [00:22<00:02, 1.40it/s] 94%|█████████▍| 30/32 [00:23<00:01, 1.42it/s] 97%|█████████▋| 31/32 [00:23<00:00, 1.60it/s] 100%|██████████| 32/32 [00:23<00:00, 1.80it/s] 100%|██████████| 32/32 [00:23<00:00, 1.34it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.9ms 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, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:26, 1.17it/s] 6%|▋ | 2/32 [00:01<00:24, 1.23it/s] 9%|▉ | 3/32 [00:02<00:23, 1.24it/s] 12%|█▎ | 4/32 [00:03<00:22, 1.23it/s] 16%|█▌ | 5/32 [00:04<00:21, 1.25it/s] 19%|█▉ | 6/32 [00:04<00:20, 1.26it/s] 22%|██▏ | 7/32 [00:05<00:20, 1.25it/s] 25%|██▌ | 8/32 [00:06<00:19, 1.22it/s] 28%|██▊ | 9/32 [00:07<00:18, 1.23it/s] 31%|███▏ | 10/32 [00:08<00:18, 1.21it/s] 34%|███▍ | 11/32 [00:08<00:16, 1.27it/s] 38%|███▊ | 12/32 [00:09<00:16, 1.24it/s] 41%|████ | 13/32 [00:10<00:15, 1.23it/s] 44%|████▍ | 14/32 [00:11<00:14, 1.22it/s] 47%|████▋ | 15/32 [00:12<00:13, 1.24it/s] 50%|█████ | 16/32 [00:12<00:12, 1.24it/s] 53%|█████▎ | 17/32 [00:13<00:11, 1.25it/s] 56%|█████▋ | 18/32 [00:14<00:11, 1.26it/s] 59%|█████▉ | 19/32 [00:15<00:10, 1.27it/s] 62%|██████▎ | 20/32 [00:16<00:09, 1.26it/s] 66%|██████▌ | 21/32 [00:16<00:08, 1.31it/s] 69%|██████▉ | 22/32 [00:17<00:07, 1.34it/s] 72%|███████▏ | 23/32 [00:18<00:06, 1.30it/s] 75%|███████▌ | 24/32 [00:19<00:06, 1.32it/s] 78%|███████▊ | 25/32 [00:19<00:05, 1.26it/s] 81%|████████▏ | 26/32 [00:20<00:04, 1.28it/s] 84%|████████▍ | 27/32 [00:21<00:03, 1.27it/s] 88%|████████▊ | 28/32 [00:22<00:02, 1.36it/s] 91%|█████████ | 29/32 [00:22<00:02, 1.33it/s] 94%|█████████▍| 30/32 [00:23<00:01, 1.37it/s] 97%|█████████▋| 31/32 [00:24<00:00, 1.55it/s] 100%|██████████| 32/32 [00:24<00:00, 1.76it/s] 100%|██████████| 32/32 [00:24<00:00, 1.31it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s
prompt
Specify things to see in the output
A realistic photograph of a dirty beautiful 25-year-old princess with tattered and burnt clothes, ripped and torn clothes, standing, exhausted after fighting a dragon, ripped and torn clothing and armor. The princess killed a dragon, masterpiece, best quality, highres, high resolution, extremely detailed, realistic, intricate details, blonde hair, long messy dirty hair, hyper-detailed skin, high quality, best quality, masterpiece, official wallpaper, 4k textures, epic, amazing body, curvaceous figure, slim waist, voluptuous curves, blue eyes, detailed, extremely detailed, sharp focus, intricate, extremely intricate, epic scenery, cinematic lighting, beautiful scenery, detailed scenery, intricate scenery, wonderful scenery, beautiful face, perfect skin, detailed face, detailed eyes, detailed hair, detailed lips, full body shot, realistic lighting and shadows, standing, perfect eyes, covered in soot, dirty, messy, covered in dirt, after an epic battle, dirty skin, medieval, perfect eyes, blue eyes
negative_prompt
Specify things to not see in the output
(ugly face:0.8),cross-eyed,sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), bad anatomy, DeepNegative, Multiple people, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms,extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed,mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, extra arms, extra leg, extra foot, ((repeating hair)), cross-eyed, Asian, looking at viewer
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.
888759615
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
70
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.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)
JuggernautNegative-neg.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/6cddeb731c3a4313a686b19cf8744308/00000-888759615.webp
https://files.tungsten.run/uploads/b66379a6dfca4a418087e7fd3b7d0dae/00001-888759616.webp
https://files.tungsten.run/uploads/e5060f6adbc24ab494baf61d600fa0ba/00002-888759617.webp
Finished in 295.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A realistic photograph of a dirty beautiful 25-year-old princess with tattered and burnt clothes, ripped and torn clothes, standing, exhausted after fighting a dragon, ripped and torn clothing and armor. The princess killed a dragon, masterpiece, best quality, highres, high resolution, extremely detailed, realistic, intricate details, blonde hair, long messy dirty hair, hyper-detailed skin, high quality, best quality, masterpiece, official wallpaper, 4k textures, epic, amazing body, curvaceous figure, slim waist, voluptuous curves, blue eyes, detailed, extremely detailed, sharp focus, intricate, extremely intricate, epic scenery, cinematic lighting, beautiful scenery, detailed scenery, intricate scenery, wonderful scenery, beautiful face, perfect skin, detailed face, detailed eyes, detailed hair, detailed lips, full body shot, realistic lighting and shadows, standing, perfect eyes, covered in soot, dirty, messy, covered in dirt, after an epic battle, dirty skin, medieval, perfect eyes, blue eyes Full negative prompt: (ugly face:0.8),cross-eyed,sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), bad anatomy, DeepNegative, Multiple people, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms,extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed,mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, extra arms, extra leg, extra foot, ((repeating hair)), cross-eyed, Asian, looking at viewer 0%| | 0/70 [00:00<?, ?it/s] 1%|▏ | 1/70 [00:02<02:25, 2.11s/it] 3%|▎ | 2/70 [00:04<02:46, 2.45s/it] 4%|▍ | 3/70 [00:07<02:57, 2.65s/it] 6%|▌ | 4/70 [00:10<02:59, 2.72s/it] 7%|▋ | 5/70 [00:13<03:00, 2.77s/it] 9%|▊ | 6/70 [00:16<03:04, 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640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:28, 1.08it/s] 6%|▋ | 2/32 [00:01<00:25, 1.16it/s] 9%|▉ | 3/32 [00:02<00:24, 1.20it/s] 12%|█▎ | 4/32 [00:03<00:23, 1.21it/s] 16%|█▌ | 5/32 [00:04<00:21, 1.23it/s] 19%|█▉ | 6/32 [00:04<00:20, 1.25it/s] 22%|██▏ | 7/32 [00:05<00:20, 1.22it/s] 25%|██▌ | 8/32 [00:06<00:20, 1.18it/s] 28%|██▊ | 9/32 [00:07<00:19, 1.20it/s] 31%|███▏ | 10/32 [00:08<00:18, 1.22it/s] 34%|███▍ | 11/32 [00:08<00:16, 1.27it/s] 38%|███▊ | 12/32 [00:09<00:15, 1.26it/s] 41%|████ | 13/32 [00:10<00:15, 1.25it/s] 44%|████▍ | 14/32 [00:11<00:14, 1.22it/s] 47%|████▋ | 15/32 [00:12<00:13, 1.24it/s] 50%|█████ | 16/32 [00:13<00:12, 1.23it/s] 53%|█████▎ | 17/32 [00:13<00:12, 1.25it/s] 56%|█████▋ | 18/32 [00:14<00:11, 1.26it/s] 59%|█████▉ | 19/32 [00:15<00:10, 1.27it/s] 62%|██████▎ | 20/32 [00:16<00:09, 1.30it/s] 66%|██████▌ | 21/32 [00:16<00:08, 1.34it/s] 69%|██████▉ | 22/32 [00:17<00:07, 1.34it/s] 72%|███████▏ | 23/32 [00:18<00:06, 1.29it/s] 75%|███████▌ | 24/32 [00:19<00:05, 1.33it/s] 78%|███████▊ | 25/32 [00:19<00:05, 1.32it/s] 81%|████████▏ | 26/32 [00:20<00:04, 1.33it/s] 84%|████████▍ | 27/32 [00:21<00:03, 1.29it/s] 88%|████████▊ | 28/32 [00:22<00:02, 1.36it/s] 91%|█████████ | 29/32 [00:22<00:02, 1.34it/s] 94%|█████████▍| 30/32 [00:23<00:01, 1.36it/s] 97%|█████████▋| 31/32 [00:24<00:00, 1.54it/s] 100%|██████████| 32/32 [00:24<00:00, 1.74it/s] 100%|██████████| 32/32 [00:24<00:00, 1.31it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:26, 1.16it/s] 6%|▋ | 2/32 [00:01<00:24, 1.22it/s] 9%|▉ | 3/32 [00:02<00:23, 1.23it/s] 12%|█▎ | 4/32 [00:03<00:22, 1.22it/s] 16%|█▌ | 5/32 [00:04<00:21, 1.24it/s] 19%|█▉ | 6/32 [00:04<00:20, 1.24it/s] 22%|██▏ | 7/32 [00:05<00:20, 1.23it/s] 25%|██▌ | 8/32 [00:06<00:19, 1.20it/s] 28%|██▊ | 9/32 [00:07<00:18, 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[00:24<00:00, 1.78it/s] 100%|██████████| 32/32 [00:24<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:26, 1.18it/s] 6%|▋ | 2/32 [00:01<00:24, 1.23it/s] 9%|▉ | 3/32 [00:02<00:23, 1.25it/s] 12%|█▎ | 4/32 [00:03<00:22, 1.23it/s] 16%|█▌ | 5/32 [00:04<00:21, 1.25it/s] 19%|█▉ | 6/32 [00:04<00:20, 1.25it/s] 22%|██▏ | 7/32 [00:05<00:20, 1.24it/s] 25%|██▌ | 8/32 [00:06<00:19, 1.21it/s] 28%|██▊ | 9/32 [00:07<00:18, 1.23it/s] 31%|███▏ | 10/32 [00:08<00:17, 1.24it/s] 34%|███▍ | 11/32 [00:08<00:16, 1.29it/s] 38%|███▊ | 12/32 [00:09<00:15, 1.28it/s] 41%|████ | 13/32 [00:10<00:15, 1.26it/s] 44%|████▍ | 14/32 [00:11<00:14, 1.24it/s] 47%|████▋ | 15/32 [00:12<00:13, 1.25it/s] 50%|█████ | 16/32 [00:12<00:12, 1.25it/s] 53%|█████▎ | 17/32 [00:13<00:11, 1.27it/s] 56%|█████▋ | 18/32 [00:14<00:10, 1.27it/s] 59%|█████▉ | 19/32 [00:15<00:10, 1.28it/s] 62%|██████▎ | 20/32 [00:15<00:09, 1.31it/s] 66%|██████▌ | 21/32 [00:16<00:08, 1.35it/s] 69%|██████▉ | 22/32 [00:17<00:07, 1.36it/s] 72%|███████▏ | 23/32 [00:18<00:06, 1.32it/s] 75%|███████▌ | 24/32 [00:18<00:05, 1.37it/s] 78%|███████▊ | 25/32 [00:19<00:05, 1.35it/s] 81%|████████▏ | 26/32 [00:20<00:04, 1.37it/s] 84%|████████▍ | 27/32 [00:21<00:03, 1.33it/s] 88%|████████▊ | 28/32 [00:21<00:02, 1.41it/s] 91%|█████████ | 29/32 [00:22<00:02, 1.40it/s] 94%|█████████▍| 30/32 [00:23<00:01, 1.42it/s] 97%|█████████▋| 31/32 [00:23<00:00, 1.60it/s] 100%|██████████| 32/32 [00:23<00:00, 1.80it/s] 100%|██████████| 32/32 [00:23<00:00, 1.34it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.9ms 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, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:26, 1.17it/s] 6%|▋ | 2/32 [00:01<00:24, 1.23it/s] 9%|▉ | 3/32 [00:02<00:23, 1.24it/s] 12%|█▎ | 4/32 [00:03<00:22, 1.23it/s] 16%|█▌ | 5/32 [00:04<00:21, 1.25it/s] 19%|█▉ | 6/32 [00:04<00:20, 1.26it/s] 22%|██▏ | 7/32 [00:05<00:20, 1.25it/s] 25%|██▌ | 8/32 [00:06<00:19, 1.22it/s] 28%|██▊ | 9/32 [00:07<00:18, 1.23it/s] 31%|███▏ | 10/32 [00:08<00:18, 1.21it/s] 34%|███▍ | 11/32 [00:08<00:16, 1.27it/s] 38%|███▊ | 12/32 [00:09<00:16, 1.24it/s] 41%|████ | 13/32 [00:10<00:15, 1.23it/s] 44%|████▍ | 14/32 [00:11<00:14, 1.22it/s] 47%|████▋ | 15/32 [00:12<00:13, 1.24it/s] 50%|█████ | 16/32 [00:12<00:12, 1.24it/s] 53%|█████▎ | 17/32 [00:13<00:11, 1.25it/s] 56%|█████▋ | 18/32 [00:14<00:11, 1.26it/s] 59%|█████▉ | 19/32 [00:15<00:10, 1.27it/s] 62%|██████▎ | 20/32 [00:16<00:09, 1.26it/s] 66%|██████▌ | 21/32 [00:16<00:08, 1.31it/s] 69%|██████▉ | 22/32 [00:17<00:07, 1.34it/s] 72%|███████▏ | 23/32 [00:18<00:06, 1.30it/s] 75%|███████▌ | 24/32 [00:19<00:06, 1.32it/s] 78%|███████▊ | 25/32 [00:19<00:05, 1.26it/s] 81%|████████▏ | 26/32 [00:20<00:04, 1.28it/s] 84%|████████▍ | 27/32 [00:21<00:03, 1.27it/s] 88%|████████▊ | 28/32 [00:22<00:02, 1.36it/s] 91%|█████████ | 29/32 [00:22<00:02, 1.33it/s] 94%|█████████▍| 30/32 [00:23<00:01, 1.37it/s] 97%|█████████▋| 31/32 [00:24<00:00, 1.55it/s] 100%|██████████| 32/32 [00:24<00:00, 1.76it/s] 100%|██████████| 32/32 [00:24<00:00, 1.31it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s