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Sexy Warrior in Spaceship with Experience
experience:v1.0
evevalentine2017
evevalentine2017
·
12/12/2023
358
Input
prompt
Specify things to see in the output
Masterpiece, highest quality, (cyberpunk), Dramatic lighting, (blue ambient light:0.6), cine still, (Gorgeous Viking [Cyborg|Woman] with viking side braided blonde hair), blue eyes, detailed facial features, [makeup], serious expression, (wearing futuristic cyberpunk corset and fur cloak and tight leather pants), cyberwear, standing inside a high-tech flying cyberpunk Viking Longship:1.1), intricately detailed, athletic body, (detailed skin), focus on on capturing the natural lines and contours of her body and face, (cinematic lighting:1.1), shadows, photographed on a Fujifilm GFX 100S, 90mm F/8 Macro Lens, highly detailed, hyperrealistic, Cinestill 800T, film grain, (eyelight:0.5), HDR, 8k, absurdres, sharp focus, <lora:more_details:0.9>
negative_prompt
Specify things to not see in the output
(kid, child, childlike, loli), small ass, BadDream UnrealisticDream, nsfw, nude, nipples, breasts, topless
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
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
419275546
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
36
cfg_scale
Scale for classifier-free guidance
8
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>
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/173086d0b2864ef1a5c2537a2a6cb3e1/00000-419275546.webp
https://files.tungsten.run/uploads/83f5e4de839a4fccbad5c8536895b328/00001-419275547.webp
https://files.tungsten.run/uploads/fd435f2ac48a40329e750603c2f4bf14/00002-419275548.webp
https://files.tungsten.run/uploads/76fca3b862fc4dbea9c91d9a772c7c0c/00003-419275549.webp
Finished in 88.5 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: Masterpiece, highest quality, (cyberpunk), Dramatic lighting, (blue ambient light:0.6), cine still, (Gorgeous Viking [Cyborg|Woman] with viking side braided blonde hair), blue eyes, detailed facial features, [makeup], serious expression, (wearing futuristic cyberpunk corset and fur cloak and tight leather pants), cyberwear, standing inside a high-tech flying cyberpunk Viking Longship:1.1), intricately detailed, athletic body, (detailed skin), focus on on capturing the natural lines and contours of her body and face, (cinematic lighting:1.1), shadows, photographed on a Fujifilm GFX 100S, 90mm F/8 Macro Lens, highly detailed, hyperrealistic, Cinestill 800T, film grain, (eyelight:0.5), HDR, 8k, absurdres, sharp focus, <lora:more_details:0.9>, <lora:add_detail:0.1> Full negative prompt: (kid, child, childlike, loli), small ass, BadDream UnrealisticDream, nsfw, nude, nipples, breasts, topless 0%| | 0/36 [00:00<?, ?it/s] 3%|▎ | 1/36 [00:01<00:44, 1.26s/it] 6%|▌ | 2/36 [00:01<00:30, 1.13it/s] 8%|▊ | 3/36 [00:02<00:25, 1.32it/s] 11%|█ | 4/36 [00:03<00:22, 1.42it/s] 14%|█▍ | 5/36 [00:03<00:20, 1.49it/s] 17%|█▋ | 6/36 [00:04<00:19, 1.53it/s] 19%|█▉ | 7/36 [00:04<00:18, 1.56it/s] 22%|██▏ | 8/36 [00:05<00:17, 1.58it/s] 25%|██▌ | 9/36 [00:06<00:16, 1.59it/s] 28%|██▊ | 10/36 [00:06<00:16, 1.60it/s] 31%|███ | 11/36 [00:07<00:15, 1.61it/s] 33%|███▎ | 12/36 [00:08<00:14, 1.61it/s] 36%|███▌ | 13/36 [00:08<00:14, 1.61it/s] 39%|███▉ | 14/36 [00:09<00:13, 1.61it/s] 42%|████▏ | 15/36 [00:09<00:13, 1.61it/s] 44%|████▍ | 16/36 [00:10<00:12, 1.61it/s] 47%|████▋ | 17/36 [00:11<00:11, 1.61it/s] 50%|█████ | 18/36 [00:11<00:11, 1.61it/s] 53%|█████▎ | 19/36 [00:12<00:10, 1.61it/s] 56%|█████▌ | 20/36 [00:13<00:09, 1.61it/s] 58%|█████▊ | 21/36 [00:13<00:09, 1.61it/s] 61%|██████ | 22/36 [00:14<00:08, 1.61it/s] 64%|██████▍ | 23/36 [00:14<00:08, 1.61it/s] 67%|██████▋ | 24/36 [00:15<00:07, 1.61it/s] 69%|██████▉ | 25/36 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0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 5.02it/s] 10%|█ | 2/20 [00:00<00:03, 5.08it/s] 15%|█▌ | 3/20 [00:00<00:03, 5.10it/s] 20%|██ | 4/20 [00:00<00:03, 5.06it/s] 25%|██▌ | 5/20 [00:00<00:03, 4.96it/s] 30%|███ | 6/20 [00:01<00:02, 5.01it/s] 35%|███▌ | 7/20 [00:01<00:02, 5.03it/s] 40%|████ | 8/20 [00:01<00:02, 5.00it/s] 45%|████▌ | 9/20 [00:01<00:02, 5.02it/s] 50%|█████ | 10/20 [00:01<00:01, 5.02it/s] 55%|█████▌ | 11/20 [00:02<00:01, 5.02it/s] 60%|██████ | 12/20 [00:02<00:01, 5.03it/s] 65%|██████▌ | 13/20 [00:02<00:01, 5.04it/s] 70%|███████ | 14/20 [00:02<00:01, 5.06it/s] 75%|███████▌ | 15/20 [00:02<00:00, 5.03it/s] 80%|████████ | 16/20 [00:03<00:00, 4.97it/s] 85%|████████▌ | 17/20 [00:03<00:00, 5.00it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.99it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.99it/s] 100%|██████████| 20/20 [00:03<00:00, 4.99it/s] 100%|██████████| 20/20 [00:03<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:04, 4.70it/s] 10%|█ | 2/20 [00:00<00:03, 4.86it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.75it/s] 20%|██ | 4/20 [00:00<00:03, 4.85it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.90it/s] 30%|███ | 6/20 [00:01<00:02, 4.93it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.96it/s] 40%|████ | 8/20 [00:01<00:02, 4.96it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.98it/s] 50%|█████ | 10/20 [00:02<00:02, 4.97it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.95it/s] 60%|██████ | 12/20 [00:02<00:01, 4.97it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.97it/s] 70%|███████ | 14/20 [00:02<00:01, 4.98it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.93it/s] 80%|████████ | 16/20 [00:03<00:00, 4.94it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.95it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.96it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.96it/s] 100%|██████████| 20/20 [00:04<00:00, 4.94it/s] 100%|██████████| 20/20 [00:04<00:00, 4.93it/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: 2.8ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 5.07it/s] 10%|█ | 2/20 [00:00<00:03, 5.07it/s] 15%|█▌ | 3/20 [00:00<00:03, 5.06it/s] 20%|██ | 4/20 [00:00<00:03, 5.06it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.91it/s] 30%|███ | 6/20 [00:01<00:02, 4.93it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.87it/s] 40%|████ | 8/20 [00:01<00:02, 4.92it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.94it/s] 50%|█████ | 10/20 [00:02<00:02, 4.98it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.99it/s] 60%|██████ | 12/20 [00:02<00:01, 5.01it/s] 65%|██████▌ | 13/20 [00:02<00:01, 5.02it/s] 70%|███████ | 14/20 [00:02<00:01, 5.02it/s] 75%|███████▌ | 15/20 [00:03<00:00, 5.03it/s] 80%|████████ | 16/20 [00:03<00:00, 5.03it/s] 85%|████████▌ | 17/20 [00:03<00:00, 5.01it/s] 90%|█████████ | 18/20 [00:03<00:00, 5.00it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.99it/s] 100%|██████████| 20/20 [00:04<00:00, 5.00it/s] 100%|██████████| 20/20 [00:04<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.84it/s] 10%|█ | 2/20 [00:00<00:03, 4.96it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.96it/s] 20%|██ | 4/20 [00:00<00:03, 4.97it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.99it/s] 30%|███ | 6/20 [00:01<00:02, 5.02it/s] 35%|███▌ | 7/20 [00:01<00:02, 5.05it/s] 40%|████ | 8/20 [00:01<00:02, 5.07it/s] 45%|████▌ | 9/20 [00:01<00:02, 5.08it/s] 50%|█████ | 10/20 [00:01<00:01, 5.07it/s] 55%|█████▌ | 11/20 [00:02<00:01, 5.00it/s] 60%|██████ | 12/20 [00:02<00:01, 5.02it/s] 65%|██████▌ | 13/20 [00:02<00:01, 5.00it/s] 70%|███████ | 14/20 [00:02<00:01, 5.02it/s] 75%|███████▌ | 15/20 [00:02<00:00, 5.03it/s] 80%|████████ | 16/20 [00:03<00:00, 5.00it/s] 85%|████████▌ | 17/20 [00:03<00:00, 5.01it/s] 90%|█████████ | 18/20 [00:03<00:00, 5.02it/s] 95%|█████████▌| 19/20 [00:03<00:00, 5.01it/s] 100%|██████████| 20/20 [00:03<00:00, 5.02it/s] 100%|██████████| 20/20 [00:03<00:00, 5.02it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.88it/s] 10%|█ | 2/20 [00:00<00:03, 4.96it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.98it/s] 20%|██ | 4/20 [00:00<00:03, 4.69it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.76it/s] 30%|███ | 6/20 [00:01<00:02, 4.82it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.87it/s] 40%|████ | 8/20 [00:01<00:02, 4.80it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.76it/s] 50%|█████ | 10/20 [00:02<00:02, 4.83it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.88it/s] 60%|██████ | 12/20 [00:02<00:01, 4.89it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.77it/s] 70%|███████ | 14/20 [00:02<00:01, 4.84it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.88it/s] 80%|████████ | 16/20 [00:03<00:00, 4.93it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.93it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.85it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.89it/s] 100%|██████████| 20/20 [00:04<00:00, 4.92it/s] 100%|██████████| 20/20 [00:04<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.92it/s] 10%|█ | 2/20 [00:00<00:03, 4.78it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.75it/s] 20%|██ | 4/20 [00:00<00:03, 4.85it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.91it/s] 30%|███ | 6/20 [00:01<00:02, 4.95it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.97it/s] 40%|████ | 8/20 [00:01<00:02, 4.94it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.94it/s] 50%|█████ | 10/20 [00:02<00:02, 4.96it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.97it/s] 60%|██████ | 12/20 [00:02<00:01, 4.95it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.90it/s] 70%|███████ | 14/20 [00:02<00:01, 4.93it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.95it/s] 80%|████████ | 16/20 [00:03<00:00, 4.97it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.98it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.93it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.95it/s] 100%|██████████| 20/20 [00:04<00:00, 4.98it/s] 100%|██████████| 20/20 [00:04<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 5.01it/s] 10%|█ | 2/20 [00:00<00:03, 5.05it/s] 15%|█▌ | 3/20 [00:00<00:03, 5.05it/s] 20%|██ | 4/20 [00:00<00:03, 4.88it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.93it/s] 30%|███ | 6/20 [00:01<00:02, 4.96it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.99it/s] 40%|████ | 8/20 [00:01<00:02, 4.98it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.90it/s] 50%|█████ | 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prompt
Specify things to see in the output
Masterpiece, highest quality, (cyberpunk), Dramatic lighting, (blue ambient light:0.6), cine still, (Gorgeous Viking [Cyborg|Woman] with viking side braided blonde hair), blue eyes, detailed facial features, [makeup], serious expression, (wearing futuristic cyberpunk corset and fur cloak and tight leather pants), cyberwear, standing inside a high-tech flying cyberpunk Viking Longship:1.1), intricately detailed, athletic body, (detailed skin), focus on on capturing the natural lines and contours of her body and face, (cinematic lighting:1.1), shadows, photographed on a Fujifilm GFX 100S, 90mm F/8 Macro Lens, highly detailed, hyperrealistic, Cinestill 800T, film grain, (eyelight:0.5), HDR, 8k, absurdres, sharp focus, <lora:more_details:0.9>
negative_prompt
Specify things to not see in the output
(kid, child, childlike, loli), small ass, BadDream UnrealisticDream, nsfw, nude, nipples, breasts, topless
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
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
419275546
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
36
cfg_scale
Scale for classifier-free guidance
8
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>
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/173086d0b2864ef1a5c2537a2a6cb3e1/00000-419275546.webp
https://files.tungsten.run/uploads/83f5e4de839a4fccbad5c8536895b328/00001-419275547.webp
https://files.tungsten.run/uploads/fd435f2ac48a40329e750603c2f4bf14/00002-419275548.webp
https://files.tungsten.run/uploads/76fca3b862fc4dbea9c91d9a772c7c0c/00003-419275549.webp
Finished in 88.5 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: Masterpiece, highest quality, (cyberpunk), Dramatic lighting, (blue ambient light:0.6), cine still, (Gorgeous Viking [Cyborg|Woman] with viking side braided blonde hair), blue eyes, detailed facial features, [makeup], serious expression, (wearing futuristic cyberpunk corset and fur cloak and tight leather pants), cyberwear, standing inside a high-tech flying cyberpunk Viking Longship:1.1), intricately detailed, athletic body, (detailed skin), focus on on capturing the natural lines and contours of her body and face, (cinematic lighting:1.1), shadows, photographed on a Fujifilm GFX 100S, 90mm F/8 Macro Lens, highly detailed, hyperrealistic, Cinestill 800T, film grain, (eyelight:0.5), HDR, 8k, absurdres, sharp focus, <lora:more_details:0.9>, <lora:add_detail:0.1> Full negative prompt: (kid, child, childlike, loli), small ass, BadDream UnrealisticDream, nsfw, nude, nipples, breasts, topless 0%| | 0/36 [00:00<?, ?it/s] 3%|▎ | 1/36 [00:01<00:44, 1.26s/it] 6%|▌ | 2/36 [00:01<00:30, 1.13it/s] 8%|▊ | 3/36 [00:02<00:25, 1.32it/s] 11%|█ | 4/36 [00:03<00:22, 1.42it/s] 14%|█▍ | 5/36 [00:03<00:20, 1.49it/s] 17%|█▋ | 6/36 [00:04<00:19, 1.53it/s] 19%|█▉ | 7/36 [00:04<00:18, 1.56it/s] 22%|██▏ | 8/36 [00:05<00:17, 1.58it/s] 25%|██▌ | 9/36 [00:06<00:16, 1.59it/s] 28%|██▊ | 10/36 [00:06<00:16, 1.60it/s] 31%|███ | 11/36 [00:07<00:15, 1.61it/s] 33%|███▎ | 12/36 [00:08<00:14, 1.61it/s] 36%|███▌ | 13/36 [00:08<00:14, 1.61it/s] 39%|███▉ | 14/36 [00:09<00:13, 1.61it/s] 42%|████▏ | 15/36 [00:09<00:13, 1.61it/s] 44%|████▍ | 16/36 [00:10<00:12, 1.61it/s] 47%|████▋ | 17/36 [00:11<00:11, 1.61it/s] 50%|█████ | 18/36 [00:11<00:11, 1.61it/s] 53%|█████▎ | 19/36 [00:12<00:10, 1.61it/s] 56%|█████▌ | 20/36 [00:13<00:09, 1.61it/s] 58%|█████▊ | 21/36 [00:13<00:09, 1.61it/s] 61%|██████ | 22/36 [00:14<00:08, 1.61it/s] 64%|██████▍ | 23/36 [00:14<00:08, 1.61it/s] 67%|██████▋ | 24/36 [00:15<00:07, 1.61it/s] 69%|██████▉ | 25/36 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| 6/20 [00:01<00:02, 4.70it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.65it/s] 40%|████ | 8/20 [00:01<00:02, 4.75it/s] 45%|████▌ | 9/20 [00:02<00:02, 4.83it/s] 50%|█████ | 10/20 [00:02<00:02, 4.86it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.92it/s] 60%|██████ | 12/20 [00:02<00:01, 4.81it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.87it/s] 70%|███████ | 14/20 [00:03<00:01, 4.95it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.99it/s] 80%|████████ | 16/20 [00:03<00:00, 5.01it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.92it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.98it/s] 95%|█████████▌| 19/20 [00:04<00:00, 5.02it/s] 100%|██████████| 20/20 [00:04<00:00, 5.04it/s] 100%|██████████| 20/20 [00:04<00:00, 4.69it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.3ms Speed: 3.3ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 5.09it/s] 10%|█ | 2/20 [00:00<00:03, 4.92it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.94it/s] 20%|██ | 4/20 [00:00<00:03, 4.98it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.92it/s] 30%|███ | 6/20 [00:01<00:02, 4.97it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.93it/s] 40%|████ | 8/20 [00:01<00:02, 4.95it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.98it/s] 50%|█████ | 10/20 [00:02<00:02, 4.98it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.98it/s] 60%|██████ | 12/20 [00:02<00:01, 4.89it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.93it/s] 70%|███████ | 14/20 [00:02<00:01, 4.95it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.98it/s] 80%|████████ | 16/20 [00:03<00:00, 5.00it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.99it/s] 90%|█████████ | 18/20 [00:03<00:00, 5.01it/s] 95%|█████████▌| 19/20 [00:03<00:00, 5.03it/s] 100%|██████████| 20/20 [00:04<00:00, 5.02it/s] 100%|██████████| 20/20 [00:04<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.94it/s] 10%|█ | 2/20 [00:00<00:03, 4.95it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.98it/s] 20%|██ | 4/20 [00:00<00:03, 4.96it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.97it/s] 30%|███ | 6/20 [00:01<00:02, 4.99it/s] 35%|███▌ | 7/20 [00:01<00:02, 5.00it/s] 40%|████ | 8/20 [00:01<00:02, 5.01it/s] 45%|████▌ | 9/20 [00:01<00:02, 5.00it/s] 50%|█████ | 10/20 [00:02<00:02, 4.98it/s] 55%|█████▌ | 11/20 [00:02<00:01, 5.00it/s] 60%|██████ | 12/20 [00:02<00:01, 5.00it/s] 65%|██████▌ | 13/20 [00:02<00:01, 5.01it/s] 70%|███████ | 14/20 [00:02<00:01, 5.02it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.99it/s] 80%|████████ | 16/20 [00:03<00:00, 5.03it/s] 85%|████████▌ | 17/20 [00:03<00:00, 5.07it/s] 90%|█████████ | 18/20 [00:03<00:00, 5.09it/s] 95%|█████████▌| 19/20 [00:03<00:00, 5.11it/s] 100%|██████████| 20/20 [00:03<00:00, 5.01it/s] 100%|██████████| 20/20 [00:03<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 5.02it/s] 10%|█ | 2/20 [00:00<00:03, 5.08it/s] 15%|█▌ | 3/20 [00:00<00:03, 5.10it/s] 20%|██ | 4/20 [00:00<00:03, 5.06it/s] 25%|██▌ | 5/20 [00:00<00:03, 4.96it/s] 30%|███ | 6/20 [00:01<00:02, 5.01it/s] 35%|███▌ | 7/20 [00:01<00:02, 5.03it/s] 40%|████ | 8/20 [00:01<00:02, 5.00it/s] 45%|████▌ | 9/20 [00:01<00:02, 5.02it/s] 50%|█████ | 10/20 [00:01<00:01, 5.02it/s] 55%|█████▌ | 11/20 [00:02<00:01, 5.02it/s] 60%|██████ | 12/20 [00:02<00:01, 5.03it/s] 65%|██████▌ | 13/20 [00:02<00:01, 5.04it/s] 70%|███████ | 14/20 [00:02<00:01, 5.06it/s] 75%|███████▌ | 15/20 [00:02<00:00, 5.03it/s] 80%|████████ | 16/20 [00:03<00:00, 4.97it/s] 85%|████████▌ | 17/20 [00:03<00:00, 5.00it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.99it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.99it/s] 100%|██████████| 20/20 [00:03<00:00, 4.99it/s] 100%|██████████| 20/20 [00:03<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:04, 4.70it/s] 10%|█ | 2/20 [00:00<00:03, 4.86it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.75it/s] 20%|██ | 4/20 [00:00<00:03, 4.85it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.90it/s] 30%|███ | 6/20 [00:01<00:02, 4.93it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.96it/s] 40%|████ | 8/20 [00:01<00:02, 4.96it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.98it/s] 50%|█████ | 10/20 [00:02<00:02, 4.97it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.95it/s] 60%|██████ | 12/20 [00:02<00:01, 4.97it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.97it/s] 70%|███████ | 14/20 [00:02<00:01, 4.98it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.93it/s] 80%|████████ | 16/20 [00:03<00:00, 4.94it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.95it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.96it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.96it/s] 100%|██████████| 20/20 [00:04<00:00, 4.94it/s] 100%|██████████| 20/20 [00:04<00:00, 4.93it/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: 2.8ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 5.07it/s] 10%|█ | 2/20 [00:00<00:03, 5.07it/s] 15%|█▌ | 3/20 [00:00<00:03, 5.06it/s] 20%|██ | 4/20 [00:00<00:03, 5.06it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.91it/s] 30%|███ | 6/20 [00:01<00:02, 4.93it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.87it/s] 40%|████ | 8/20 [00:01<00:02, 4.92it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.94it/s] 50%|█████ | 10/20 [00:02<00:02, 4.98it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.99it/s] 60%|██████ | 12/20 [00:02<00:01, 5.01it/s] 65%|██████▌ | 13/20 [00:02<00:01, 5.02it/s] 70%|███████ | 14/20 [00:02<00:01, 5.02it/s] 75%|███████▌ | 15/20 [00:03<00:00, 5.03it/s] 80%|████████ | 16/20 [00:03<00:00, 5.03it/s] 85%|████████▌ | 17/20 [00:03<00:00, 5.01it/s] 90%|█████████ | 18/20 [00:03<00:00, 5.00it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.99it/s] 100%|██████████| 20/20 [00:04<00:00, 5.00it/s] 100%|██████████| 20/20 [00:04<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.84it/s] 10%|█ | 2/20 [00:00<00:03, 4.96it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.96it/s] 20%|██ | 4/20 [00:00<00:03, 4.97it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.99it/s] 30%|███ | 6/20 [00:01<00:02, 5.02it/s] 35%|███▌ | 7/20 [00:01<00:02, 5.05it/s] 40%|████ | 8/20 [00:01<00:02, 5.07it/s] 45%|████▌ | 9/20 [00:01<00:02, 5.08it/s] 50%|█████ | 10/20 [00:01<00:01, 5.07it/s] 55%|█████▌ | 11/20 [00:02<00:01, 5.00it/s] 60%|██████ | 12/20 [00:02<00:01, 5.02it/s] 65%|██████▌ | 13/20 [00:02<00:01, 5.00it/s] 70%|███████ | 14/20 [00:02<00:01, 5.02it/s] 75%|███████▌ | 15/20 [00:02<00:00, 5.03it/s] 80%|████████ | 16/20 [00:03<00:00, 5.00it/s] 85%|████████▌ | 17/20 [00:03<00:00, 5.01it/s] 90%|█████████ | 18/20 [00:03<00:00, 5.02it/s] 95%|█████████▌| 19/20 [00:03<00:00, 5.01it/s] 100%|██████████| 20/20 [00:03<00:00, 5.02it/s] 100%|██████████| 20/20 [00:03<00:00, 5.02it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.88it/s] 10%|█ | 2/20 [00:00<00:03, 4.96it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.98it/s] 20%|██ | 4/20 [00:00<00:03, 4.69it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.76it/s] 30%|███ | 6/20 [00:01<00:02, 4.82it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.87it/s] 40%|████ | 8/20 [00:01<00:02, 4.80it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.76it/s] 50%|█████ | 10/20 [00:02<00:02, 4.83it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.88it/s] 60%|██████ | 12/20 [00:02<00:01, 4.89it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.77it/s] 70%|███████ | 14/20 [00:02<00:01, 4.84it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.88it/s] 80%|████████ | 16/20 [00:03<00:00, 4.93it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.93it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.85it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.89it/s] 100%|██████████| 20/20 [00:04<00:00, 4.92it/s] 100%|██████████| 20/20 [00:04<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.92it/s] 10%|█ | 2/20 [00:00<00:03, 4.78it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.75it/s] 20%|██ | 4/20 [00:00<00:03, 4.85it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.91it/s] 30%|███ | 6/20 [00:01<00:02, 4.95it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.97it/s] 40%|████ | 8/20 [00:01<00:02, 4.94it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.94it/s] 50%|█████ | 10/20 [00:02<00:02, 4.96it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.97it/s] 60%|██████ | 12/20 [00:02<00:01, 4.95it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.90it/s] 70%|███████ | 14/20 [00:02<00:01, 4.93it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.95it/s] 80%|████████ | 16/20 [00:03<00:00, 4.97it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.98it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.93it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.95it/s] 100%|██████████| 20/20 [00:04<00:00, 4.98it/s] 100%|██████████| 20/20 [00:04<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 5.01it/s] 10%|█ | 2/20 [00:00<00:03, 5.05it/s] 15%|█▌ | 3/20 [00:00<00:03, 5.05it/s] 20%|██ | 4/20 [00:00<00:03, 4.88it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.93it/s] 30%|███ | 6/20 [00:01<00:02, 4.96it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.99it/s] 40%|████ | 8/20 [00:01<00:02, 4.98it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.90it/s] 50%|█████ | 10/20 [00:02<00:02, 4.92it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.96it/s] 60%|██████ | 12/20 [00:02<00:01, 4.96it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.98it/s] 70%|███████ | 14/20 [00:02<00:01, 4.97it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.98it/s] 80%|████████ | 16/20 [00:03<00:00, 4.97it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.95it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.97it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.89it/s] 100%|██████████| 20/20 [00:04<00:00, 4.91it/s] 100%|██████████| 20/20 [00:04<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.94it/s] 10%|█ | 2/20 [00:00<00:03, 4.97it/s] 15%|█▌ | 3/20 [00:00<00:03, 5.00it/s] 20%|██ | 4/20 [00:00<00:03, 4.97it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.97it/s] 30%|███ | 6/20 [00:01<00:02, 4.99it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.98it/s] 40%|████ | 8/20 [00:01<00:02, 4.99it/s] 45%|████▌ | 9/20 [00:01<00:02, 5.00it/s] 50%|█████ | 10/20 [00:02<00:01, 5.01it/s] 55%|█████▌ | 11/20 [00:02<00:01, 5.01it/s] 60%|██████ | 12/20 [00:02<00:01, 5.00it/s] 65%|██████▌ | 13/20 [00:02<00:01, 5.00it/s] 70%|███████ | 14/20 [00:02<00:01, 4.96it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.98it/s] 80%|████████ | 16/20 [00:03<00:00, 4.98it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.88it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.79it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.87it/s] 100%|██████████| 20/20 [00:04<00:00, 4.90it/s] 100%|██████████| 20/20 [00:04<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.