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People in Vehicles with Chiller ReGeneric
chilled-re-generic:v2.0
evevalentine2017
evevalentine2017
·
12/26/2023
358
Input
prompt
Specify things to see in the output
masterpiece, high quality, solo, 1boy, 20y, ((photorealistic:1.4 )), looking at viewer, Chiaroscuro, city, 2 people, 1man, 1woman, smile, White collared shirt, belt, blue long skirt, motorcycle, riding, formal,suit, necktie, motorcycle, driving, insane details, intricate details, hyperdetailed, 4k, high realism, uhd, dslr, high quality, Fujifilm XT3, handsome, Realistic photography, professionally color graded, 8K, F2.4, 35mm, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
((asian:1.7)), nsfw, nipples, brown hair, blonde hair, black hair, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, 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, bad_prompt_version2-neg, verybadimagenegative_v1.3, rmadanegative4_sd15-neg
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
0.3
brightness
Adjust brightness
0.4
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.
3697999740
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
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
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)
verybadimagenegative_v1.3.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
rmadanegative4_sd15-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/87021a7c9eae4b5db03a0440bc2aa7fd/00000-3697999740.webp
https://files.tungsten.run/uploads/b18c6722874c411ab51c6ab8c98753c0/00001-3697999741.webp
https://files.tungsten.run/uploads/e4f85c50eee344debbd3bc126cc64e96/00002-3697999742.webp
https://files.tungsten.run/uploads/608023a187df4ae88068c626bbc0ff1d/00003-3697999743.webp
Finished in 206.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: masterpiece, high quality, solo, 1boy, 20y, ((photorealistic:1.4 )), looking at viewer, Chiaroscuro, city, 2 people, 1man, 1woman, smile, White collared shirt, belt, blue long skirt, motorcycle, riding, formal,suit, necktie, motorcycle, driving, insane details, intricate details, hyperdetailed, 4k, high realism, uhd, dslr, high quality, Fujifilm XT3, handsome, Realistic photography, professionally color graded, 8K, F2.4, 35mm, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.3>, <lora:add_brightness:0.4> Full negative prompt: ((asian:1.7)), nsfw, nipples, brown hair, blonde hair, black hair, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, 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, bad_prompt_version2-neg, verybadimagenegative_v1.3, rmadanegative4_sd15-neg 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:37, 1.99s/it] 4%|▍ | 2/50 [00:03<01:29, 1.87s/it] 6%|▌ | 3/50 [00:05<01:21, 1.73s/it] 8%|▊ | 4/50 [00:07<01:19, 1.73s/it] 10%|█ | 5/50 [00:08<01:18, 1.73s/it] 12%|█▏ | 6/50 [00:10<01:15, 1.72s/it] 14%|█▍ | 7/50 [00:12<01:13, 1.71s/it] 16%|█▌ | 8/50 [00:14<01:14, 1.77s/it] 18%|█▊ | 9/50 [00:15<01:13, 1.80s/it] 20%|██ | 10/50 [00:17<01:11, 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24/28 [00:10<00:01, 2.45it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.53it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.49it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.84it/s] 100%|██████████| 28/28 [00:11<00:00, 3.26it/s] 100%|██████████| 28/28 [00:11<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.20it/s] 7%|▋ | 2/28 [00:00<00:12, 2.12it/s] 11%|█ | 3/28 [00:01<00:11, 2.24it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.23it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.25it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.16it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.17it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.10it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.19it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.23it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.21it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.25it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.22it/s] 50%|█████ | 14/28 [00:06<00:06, 2.32it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.38it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.43it/s] 61%|██████ | 17/28 [00:07<00:04, 2.33it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.36it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.27it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.30it/s] 75%|███████▌ | 21/28 [00:09<00:02, 2.34it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.27it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.30it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.39it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.49it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.48it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.82it/s] 100%|██████████| 28/28 [00:11<00:00, 3.24it/s] 100%|██████████| 28/28 [00:11<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:11, 2.26it/s] 7%|▋ | 2/28 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93%|█████████▎| 26/28 [00:11<00:00, 2.53it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.88it/s] 100%|██████████| 28/28 [00:11<00:00, 3.30it/s] 100%|██████████| 28/28 [00:11<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.23it/s] 7%|▋ | 2/28 [00:00<00:12, 2.14it/s] 11%|█ | 3/28 [00:01<00:10, 2.28it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.26it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.28it/s] 21%|██▏ | 6/28 [00:02<00:09, 2.21it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.20it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.12it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.20it/s] 36%|███▌ | 10/28 [00:04<00:07, 2.25it/s] 39%|███▉ | 11/28 [00:04<00:07, 2.23it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.28it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.27it/s] 50%|█████ | 14/28 [00:06<00:05, 2.37it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.45it/s] 57%|█████▋ | 16/28 [00:06<00:04, 2.49it/s] 61%|██████ | 17/28 [00:07<00:04, 2.39it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.40it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.29it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.31it/s] 75%|███████▌ | 21/28 [00:09<00:03, 2.33it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.26it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.41it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.49it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.50it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.84it/s] 100%|██████████| 28/28 [00:11<00:00, 3.21it/s] 100%|██████████| 28/28 [00:11<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:11, 2.27it/s] 7%|▋ | 2/28 [00:00<00:12, 2.15it/s] 11%|█ | 3/28 [00:01<00:11, 2.25it/s] 14%|█▍ | 4/28 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2.81it/s] 100%|██████████| 28/28 [00:11<00:00, 3.22it/s] 100%|██████████| 28/28 [00:11<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.24it/s] 7%|▋ | 2/28 [00:00<00:12, 2.11it/s] 11%|█ | 3/28 [00:01<00:11, 2.23it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.18it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.20it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.16it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.18it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.11it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.19it/s] 36%|███▌ | 10/28 [00:04<00:07, 2.25it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.21it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.26it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.25it/s] 50%|█████ | 14/28 [00:06<00:05, 2.36it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.45it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.48it/s] 61%|██████ | 17/28 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face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.25it/s] 7%|▋ | 2/28 [00:00<00:12, 2.13it/s] 11%|█ | 3/28 [00:01<00:11, 2.27it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.25it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.26it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.19it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.19it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.08it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.17it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.24it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.21it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.24it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.25it/s] 50%|█████ | 14/28 [00:06<00:05, 2.35it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.40it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.44it/s] 61%|██████ | 17/28 [00:07<00:04, 2.34it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.37it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.29it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.31it/s] 75%|███████▌ | 21/28 [00:09<00:02, 2.37it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.26it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.40it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.51it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.52it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.85it/s] 100%|██████████| 28/28 [00:11<00:00, 3.26it/s] 100%|██████████| 28/28 [00:11<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:11, 2.30it/s] 7%|▋ | 2/28 [00:00<00:12, 2.16it/s] 11%|█ | 3/28 [00:01<00:10, 2.28it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.27it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.25it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.19it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.17it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.10it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.19it/s] 36%|███▌ | 10/28 [00:04<00:07, 2.27it/s] 39%|███▉ | 11/28 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Finished.
prompt
Specify things to see in the output
masterpiece, high quality, solo, 1boy, 20y, ((photorealistic:1.4 )), looking at viewer, Chiaroscuro, city, 2 people, 1man, 1woman, smile, White collared shirt, belt, blue long skirt, motorcycle, riding, formal,suit, necktie, motorcycle, driving, insane details, intricate details, hyperdetailed, 4k, high realism, uhd, dslr, high quality, Fujifilm XT3, handsome, Realistic photography, professionally color graded, 8K, F2.4, 35mm, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
((asian:1.7)), nsfw, nipples, brown hair, blonde hair, black hair, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, 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, bad_prompt_version2-neg, verybadimagenegative_v1.3, rmadanegative4_sd15-neg
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
0.3
brightness
Adjust brightness
0.4
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.
3697999740
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
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
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)
verybadimagenegative_v1.3.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
rmadanegative4_sd15-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/87021a7c9eae4b5db03a0440bc2aa7fd/00000-3697999740.webp
https://files.tungsten.run/uploads/b18c6722874c411ab51c6ab8c98753c0/00001-3697999741.webp
https://files.tungsten.run/uploads/e4f85c50eee344debbd3bc126cc64e96/00002-3697999742.webp
https://files.tungsten.run/uploads/608023a187df4ae88068c626bbc0ff1d/00003-3697999743.webp
Finished in 206.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: masterpiece, high quality, solo, 1boy, 20y, ((photorealistic:1.4 )), looking at viewer, Chiaroscuro, city, 2 people, 1man, 1woman, smile, White collared shirt, belt, blue long skirt, motorcycle, riding, formal,suit, necktie, motorcycle, driving, insane details, intricate details, hyperdetailed, 4k, high realism, uhd, dslr, high quality, Fujifilm XT3, handsome, Realistic photography, professionally color graded, 8K, F2.4, 35mm, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.3>, <lora:add_brightness:0.4> Full negative prompt: ((asian:1.7)), nsfw, nipples, brown hair, blonde hair, black hair, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, 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, bad_prompt_version2-neg, verybadimagenegative_v1.3, rmadanegative4_sd15-neg 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:37, 1.99s/it] 4%|▍ | 2/50 [00:03<01:29, 1.87s/it] 6%|▌ | 3/50 [00:05<01:21, 1.73s/it] 8%|▊ | 4/50 [00:07<01:19, 1.73s/it] 10%|█ | 5/50 [00:08<01:18, 1.73s/it] 12%|█▏ | 6/50 [00:10<01:15, 1.72s/it] 14%|█▍ | 7/50 [00:12<01:13, 1.71s/it] 16%|█▌ | 8/50 [00:14<01:14, 1.77s/it] 18%|█▊ | 9/50 [00:15<01:13, 1.80s/it] 20%|██ | 10/50 [00:17<01:11, 1.78s/it] 22%|██▏ | 11/50 [00:19<01:09, 1.79s/it] 24%|██▍ | 12/50 [00:21<01:07, 1.77s/it] 26%|██▌ | 13/50 [00:23<01:06, 1.79s/it] 28%|██▊ | 14/50 [00:24<01:03, 1.75s/it] 30%|███ | 15/50 [00:26<01:01, 1.76s/it] 32%|███▏ | 16/50 [00:28<00:59, 1.74s/it] 34%|███▍ | 17/50 [00:29<00:57, 1.74s/it] 36%|███▌ | 18/50 [00:31<00:56, 1.78s/it] 38%|███▊ | 19/50 [00:33<00:53, 1.72s/it] 40%|████ | 20/50 [00:35<00:52, 1.74s/it] 42%|████▏ | 21/50 [00:36<00:50, 1.73s/it] 44%|████▍ | 22/50 [00:38<00:47, 1.71s/it] 46%|████▌ | 23/50 [00:40<00:44, 1.66s/it] 48%|████▊ | 24/50 [00:41<00:43, 1.68s/it] 50%|█████ | 25/50 [00:43<00:40, 1.61s/it] 52%|█████▏ | 26/50 [00:44<00:38, 1.61s/it] 54%|█████▍ | 27/50 [00:46<00:36, 1.60s/it] 56%|█████▌ | 28/50 [00:48<00:36, 1.65s/it] 58%|█████▊ | 29/50 [00:49<00:34, 1.64s/it] 60%|██████ | 30/50 [00:51<00:34, 1.71s/it] 62%|██████▏ | 31/50 [00:53<00:31, 1.64s/it] 64%|██████▍ | 32/50 [00:54<00:28, 1.58s/it] 66%|██████▌ | 33/50 [00:56<00:27, 1.61s/it] 68%|██████▊ | 34/50 [00:57<00:25, 1.57s/it] 70%|███████ | 35/50 [00:59<00:23, 1.57s/it] 72%|███████▏ | 36/50 [01:00<00:20, 1.49s/it] 74%|███████▍ | 37/50 [01:01<00:18, 1.43s/it] 76%|███████▌ | 38/50 [01:03<00:16, 1.42s/it] 78%|███████▊ | 39/50 [01:04<00:16, 1.48s/it] 80%|████████ | 40/50 [01:06<00:14, 1.48s/it] 82%|████████▏ | 41/50 [01:08<00:13, 1.55s/it] 84%|████████▍ | 42/50 [01:09<00:12, 1.50s/it] 86%|████████▌ | 43/50 [01:10<00:10, 1.48s/it] 88%|████████▊ | 44/50 [01:12<00:09, 1.53s/it] 90%|█████████ | 45/50 [01:14<00:07, 1.51s/it] 92%|█████████▏| 46/50 [01:15<00:05, 1.46s/it] 94%|█████████▍| 47/50 [01:16<00:04, 1.39s/it] 96%|█████████▌| 48/50 [01:18<00:02, 1.40s/it] 98%|█████████▊| 49/50 [01:18<00:01, 1.20s/it] 100%|██████████| 50/50 [01:19<00:00, 1.03s/it] 100%|██████████| 50/50 [01:19<00:00, 1.59s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.5ms Speed: 3.6ms preprocess, 9.5ms inference, 37.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:17, 1.58it/s] 7%|▋ | 2/28 [00:01<00:14, 1.81it/s] 11%|█ | 3/28 [00:01<00:12, 2.04it/s] 14%|█▍ | 4/28 [00:01<00:11, 2.10it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.17it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.15it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.16it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.11it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.19it/s] 36%|███▌ | 10/28 [00:04<00:07, 2.25it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.22it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.26it/s] 46%|████▋ | 13/28 [00:06<00:06, 2.26it/s] 50%|█████ | 14/28 [00:06<00:05, 2.39it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.47it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.50it/s] 61%|██████ | 17/28 [00:07<00:04, 2.41it/s] 64%|██████▍ | 18/28 [00:08<00:04, 2.42it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.32it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.39it/s] 75%|███████▌ | 21/28 [00:09<00:02, 2.42it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.35it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.37it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.45it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.53it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.49it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.84it/s] 100%|██████████| 28/28 [00:11<00:00, 3.26it/s] 100%|██████████| 28/28 [00:11<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.20it/s] 7%|▋ | 2/28 [00:00<00:12, 2.12it/s] 11%|█ | 3/28 [00:01<00:11, 2.24it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.23it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.25it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.16it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.17it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.10it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.19it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.23it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.21it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.25it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.22it/s] 50%|█████ | 14/28 [00:06<00:06, 2.32it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.38it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.43it/s] 61%|██████ | 17/28 [00:07<00:04, 2.33it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.36it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.27it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.30it/s] 75%|███████▌ | 21/28 [00:09<00:02, 2.34it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.27it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.30it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.39it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.49it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.48it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.82it/s] 100%|██████████| 28/28 [00:11<00:00, 3.24it/s] 100%|██████████| 28/28 [00:11<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:11, 2.26it/s] 7%|▋ | 2/28 [00:00<00:12, 2.08it/s] 11%|█ | 3/28 [00:01<00:11, 2.24it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.21it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.23it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.18it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.20it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.12it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.19it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.25it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.21it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.25it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.25it/s] 50%|█████ | 14/28 [00:06<00:05, 2.37it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.45it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.46it/s] 61%|██████ | 17/28 [00:07<00:04, 2.37it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.40it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.30it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.34it/s] 75%|███████▌ | 21/28 [00:09<00:02, 2.37it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.30it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.34it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.43it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.53it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.53it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.88it/s] 100%|██████████| 28/28 [00:11<00:00, 3.30it/s] 100%|██████████| 28/28 [00:11<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.23it/s] 7%|▋ | 2/28 [00:00<00:12, 2.14it/s] 11%|█ | 3/28 [00:01<00:10, 2.28it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.26it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.28it/s] 21%|██▏ | 6/28 [00:02<00:09, 2.21it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.20it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.12it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.20it/s] 36%|███▌ | 10/28 [00:04<00:07, 2.25it/s] 39%|███▉ | 11/28 [00:04<00:07, 2.23it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.28it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.27it/s] 50%|█████ | 14/28 [00:06<00:05, 2.37it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.45it/s] 57%|█████▋ | 16/28 [00:06<00:04, 2.49it/s] 61%|██████ | 17/28 [00:07<00:04, 2.39it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.40it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.29it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.31it/s] 75%|███████▌ | 21/28 [00:09<00:03, 2.33it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.26it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.41it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.49it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.50it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.84it/s] 100%|██████████| 28/28 [00:11<00:00, 3.21it/s] 100%|██████████| 28/28 [00:11<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:11, 2.27it/s] 7%|▋ | 2/28 [00:00<00:12, 2.15it/s] 11%|█ | 3/28 [00:01<00:11, 2.25it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.22it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.24it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.18it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.19it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.11it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.18it/s] 36%|███▌ | 10/28 [00:04<00:07, 2.25it/s] 39%|███▉ | 11/28 [00:04<00:07, 2.23it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.28it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.27it/s] 50%|█████ | 14/28 [00:06<00:05, 2.36it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.41it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.45it/s] 61%|██████ | 17/28 [00:07<00:04, 2.37it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.39it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.27it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.33it/s] 75%|███████▌ | 21/28 [00:09<00:02, 2.36it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.31it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.35it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.41it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.51it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.46it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.81it/s] 100%|██████████| 28/28 [00:11<00:00, 3.22it/s] 100%|██████████| 28/28 [00:11<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.24it/s] 7%|▋ | 2/28 [00:00<00:12, 2.11it/s] 11%|█ | 3/28 [00:01<00:11, 2.23it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.18it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.20it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.16it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.18it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.11it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.19it/s] 36%|███▌ | 10/28 [00:04<00:07, 2.25it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.21it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.26it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.25it/s] 50%|█████ | 14/28 [00:06<00:05, 2.36it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.45it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.48it/s] 61%|██████ | 17/28 [00:07<00:04, 2.41it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.40it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.31it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.35it/s] 75%|███████▌ | 21/28 [00:09<00:02, 2.37it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.32it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.33it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.41it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.52it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.52it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.85it/s] 100%|██████████| 28/28 [00:11<00:00, 3.26it/s] 100%|██████████| 28/28 [00:11<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.24it/s] 7%|▋ | 2/28 [00:00<00:12, 2.06it/s] 11%|█ | 3/28 [00:01<00:11, 2.20it/s] 14%|█▍ | 4/28 [00:01<00:11, 2.16it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.18it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.14it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.16it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.09it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.19it/s] 36%|███▌ | 10/28 [00:04<00:07, 2.26it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.24it/s] 43%|████▎ | 12/28 [00:05<00:06, 2.29it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.27it/s] 50%|█████ | 14/28 [00:06<00:05, 2.38it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.46it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.45it/s] 61%|██████ | 17/28 [00:07<00:04, 2.36it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.36it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.28it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.34it/s] 75%|███████▌ | 21/28 [00:09<00:02, 2.38it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.31it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.34it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.39it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.47it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.47it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.82it/s] 100%|██████████| 28/28 [00:11<00:00, 3.22it/s] 100%|██████████| 28/28 [00:11<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:12, 2.25it/s] 7%|▋ | 2/28 [00:00<00:12, 2.13it/s] 11%|█ | 3/28 [00:01<00:11, 2.27it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.25it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.26it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.19it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.19it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.08it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.17it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.24it/s] 39%|███▉ | 11/28 [00:05<00:07, 2.21it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.24it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.25it/s] 50%|█████ | 14/28 [00:06<00:05, 2.35it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.40it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.44it/s] 61%|██████ | 17/28 [00:07<00:04, 2.34it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.37it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.29it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.31it/s] 75%|███████▌ | 21/28 [00:09<00:02, 2.37it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.26it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.40it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.51it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.52it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.85it/s] 100%|██████████| 28/28 [00:11<00:00, 3.26it/s] 100%|██████████| 28/28 [00:11<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:11, 2.30it/s] 7%|▋ | 2/28 [00:00<00:12, 2.16it/s] 11%|█ | 3/28 [00:01<00:10, 2.28it/s] 14%|█▍ | 4/28 [00:01<00:10, 2.27it/s] 18%|█▊ | 5/28 [00:02<00:10, 2.25it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.19it/s] 25%|██▌ | 7/28 [00:03<00:09, 2.17it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.10it/s] 32%|███▏ | 9/28 [00:04<00:08, 2.19it/s] 36%|███▌ | 10/28 [00:04<00:07, 2.27it/s] 39%|███▉ | 11/28 [00:04<00:07, 2.25it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.26it/s] 46%|████▋ | 13/28 [00:05<00:06, 2.23it/s] 50%|█████ | 14/28 [00:06<00:06, 2.33it/s] 54%|█████▎ | 15/28 [00:06<00:05, 2.42it/s] 57%|█████▋ | 16/28 [00:07<00:04, 2.46it/s] 61%|██████ | 17/28 [00:07<00:04, 2.39it/s] 64%|██████▍ | 18/28 [00:07<00:04, 2.42it/s] 68%|██████▊ | 19/28 [00:08<00:03, 2.30it/s] 71%|███████▏ | 20/28 [00:08<00:03, 2.37it/s] 75%|███████▌ | 21/28 [00:09<00:02, 2.41it/s] 79%|███████▊ | 22/28 [00:09<00:02, 2.34it/s] 82%|████████▏ | 23/28 [00:10<00:02, 2.35it/s] 86%|████████▌ | 24/28 [00:10<00:01, 2.40it/s] 89%|████████▉ | 25/28 [00:10<00:01, 2.49it/s] 93%|█████████▎| 26/28 [00:11<00:00, 2.48it/s] 96%|█████████▋| 27/28 [00:11<00:00, 2.82it/s] 100%|██████████| 28/28 [00:11<00:00, 3.24it/s] 100%|██████████| 28/28 [00:11<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.