Arcade Machines with Smooth Blend
Input
prompt
Specify things to see in the output
style of Peter Lindbergh, style of Hasselblad:1.5, three quarter cowboy shot turned to the side of young woman engrossed in playing on arcade game:1.5, energetic 90s arcade, neon lights flickering, 25 years old, cleavage, skinny, slender, young woman:1.2, vibrant 90s street fashion, high-waisted acid-wash jeans, oversized crop top graphic tee, chunky sneakers, colorful scrunchie holding up a high ponytail, layers of bright friendship bracelets, vintage arcade machines in the background, pinball machine featuring iconic 90s pop culture, reflections of neon signs on the glossy surface of the pinball machine, the sound of arcades and pinball dings filling the air, a look of concentration and excitement on the woman's face, nearby players in background dressed in typical 90s attire, graffiti art on the arcade walls, a mix of retro:modern:0.9 elements, the atmosphere bustling with the energy of the 90s youth, vibrant color palette dominated by neons and pastels, subtle hints of early digital age aesthetics, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, realisticvision-negative-embedding
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
0.8
brightness
Adjust brightness
0
contrast
Adjust contrast
-0.48
saturation
Adjust saturation
-0.2
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2140431947
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
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/749deb32c004489d8c3a59fd752d4cd0/00000-2140431947.webp
https://files.tungsten.run/uploads/29208c09a58340ce96c6cac2974ebb9b/00001-2140431948.webp
https://files.tungsten.run/uploads/57f8a7bf991143fbbcff77a1e8935e82/00002-2140431949.webp
https://files.tungsten.run/uploads/5b74f5a4300f4c1a8bf8594392487b40/00003-2140431950.webp
Finished in 113.4 seconds
v1.0: Pulling from evevalentine2017/smooth-blend 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists b61a449081c2: Pull complete 23440c978171: Pull complete 8ebdc7769cef: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: style of Peter Lindbergh, style of Hasselblad:1.5, three quarter cowboy shot turned to the side of young woman engrossed in playing on arcade game:1.5, energetic 90s arcade, neon lights flickering, 25 years old, cleavage, skinny, slender, young woman:1.2, vibrant 90s street fashion, high-waisted acid-wash jeans, oversized crop top graphic tee, chunky sneakers, colorful scrunchie holding up a high ponytail, layers of bright friendship bracelets, vintage arcade machines in the background, pinball machine featuring iconic 90s pop culture, reflections of neon signs on the glossy surface of the pinball machine, the sound of arcades and pinball dings filling the air, a look of concentration and excitement on the woman's face, nearby players in background dressed in typical 90s attire, graffiti art on the arcade walls, a mix of retro:modern:0.9 elements, the atmosphere bustling with the energy of the 90s youth, vibrant color palette dominated by neons and pastels, subtle hints of early digital age aesthetics, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>, <lora:add_detail:0.8>, <lora:contrast_slider_v10:-0.48>, <lora:add_saturation:-0.2> Full negative prompt: portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, realisticvision-negative-embedding 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:56, 1.46s/it] 5%|▌ | 2/40 [00:02<00:37, 1.01it/s] 8%|▊ | 3/40 [00:02<00:30, 1.21it/s] 10%|█ | 4/40 [00:03<00:27, 1.32it/s] 12%|█▎ | 5/40 [00:04<00:25, 1.40it/s] 15%|█▌ | 6/40 [00:04<00:23, 1.45it/s] 18%|█▊ | 7/40 [00:05<00:22, 1.48it/s] 20%|██ | 8/40 [00:05<00:21, 1.50it/s] 22%|██▎ | 9/40 [00:06<00:20, 1.52it/s] 25%|██▌ | 10/40 [00:07<00:19, 1.53it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.54it/s] 30%|███ | 12/40 [00:08<00:18, 1.54it/s] 32%|███▎ | 13/40 [00:09<00:17, 1.54it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.55it/s] 38%|███▊ | 15/40 [00:10<00:16, 1.55it/s] 40%|████ | 16/40 [00:11<00:15, 1.55it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.55it/s] 45%|████▌ | 18/40 [00:12<00:14, 1.55it/s] 48%|████▊ | 19/40 [00:13<00:13, 1.55it/s] 50%|█████ | 20/40 [00:13<00:12, 1.55it/s] 52%|█████▎ | 21/40 [00:14<00:12, 1.55it/s] 55%|█████▌ | 22/40 [00:15<00:11, 1.55it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.55it/s] 60%|██████ | 24/40 [00:16<00:10, 1.54it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.54it/s] 65%|██████▌ | 26/40 [00:17<00:09, 1.54it/s] 68%|██████▊ | 27/40 [00:18<00:08, 1.54it/s] 70%|███████ | 28/40 [00:18<00:07, 1.54it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.54it/s] 75%|███████▌ | 30/40 [00:20<00:06, 1.54it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.54it/s] 80%|████████ | 32/40 [00:21<00:05, 1.54it/s] 82%|████████▎ | 33/40 [00:22<00:04, 1.54it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.54it/s] 88%|████████▊ | 35/40 [00:23<00:03, 1.54it/s] 90%|█████████ | 36/40 [00:24<00:02, 1.54it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.53it/s] 95%|█████████▌| 38/40 [00:25<00:01, 1.53it/s] 98%|█████████▊| 39/40 [00:26<00:00, 1.53it/s] 100%|██████████| 40/40 [00:26<00:00, 1.53it/s] 100%|██████████| 40/40 [00:26<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.2ms Speed: 4.8ms preprocess, 8.2ms inference, 36.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.54it/s] 9%|▊ | 2/23 [00:00<00:06, 3.40it/s] 13%|█▎ | 3/23 [00:00<00:05, 3.95it/s] 17%|█▋ | 4/23 [00:01<00:04, 4.30it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.51it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.66it/s] 30%|███ | 7/23 [00:01<00:03, 4.60it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.72it/s] 39%|███▉ | 9/23 [00:02<00:02, 4.81it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.86it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.90it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.87it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.88it/s] 61%|██████ | 14/23 [00:03<00:01, 4.85it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.88it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.90it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.92it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.93it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.93it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.69it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.97it/s] 9%|▊ | 2/23 [00:00<00:04, 5.00it/s] 13%|█▎ | 3/23 [00:00<00:04, 5.00it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.86it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.87it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.88it/s] 30%|███ | 7/23 [00:01<00:03, 4.93it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.95it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.88it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.88it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.89it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.89it/s] 61%|██████ | 14/23 [00:02<00:01, 4.83it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.86it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.88it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.91it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.75it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.82it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.88it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.97it/s] 9%|▊ | 2/23 [00:00<00:04, 5.00it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.87it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.88it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.85it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.88it/s] 30%|███ | 7/23 [00:01<00:03, 4.90it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.90it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.92it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.93it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.94it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.95it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.91it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.82it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.85it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.88it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.91it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.93it/s] 100%|██████████| 23/23 [00:04<00:00, 4.85it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.93it/s] 9%|▊ | 2/23 [00:00<00:04, 4.97it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.97it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.82it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.84it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.92it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.92it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.72it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.78it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.85it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.85it/s] 61%|██████ | 14/23 [00:02<00:01, 4.73it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.77it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.79it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.81it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.82it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.68it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.74it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.80it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.89it/s] 9%|▊ | 2/23 [00:00<00:04, 4.95it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.98it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.96it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.91it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.93it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.92it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.95it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.96it/s] 61%|██████ | 14/23 [00:02<00:01, 4.97it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.98it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.82it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:05, 4.37it/s] 9%|▊ | 2/23 [00:00<00:04, 4.66it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.78it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.85it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.84it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.80it/s] 30%|███ | 7/23 [00:01<00:03, 4.86it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.88it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.90it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.90it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.89it/s] 61%|██████ | 14/23 [00:02<00:01, 4.91it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.92it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.94it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.94it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.95it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.95it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.93it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.71it/s] 9%|▊ | 2/23 [00:00<00:04, 4.77it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.76it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.85it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.90it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.92it/s] 30%|███ | 7/23 [00:01<00:03, 4.93it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.87it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.88it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.91it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.92it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.93it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.78it/s] 61%|██████ | 14/23 [00:02<00:01, 4.82it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.80it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.84it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.77it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.82it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.84it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.87it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.88it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.87it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [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 2 hands, 7.4ms Speed: 3.2ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.71it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.90it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.92it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.74it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.69it/s] 30%|███ | 7/23 [00:01<00:03, 4.76it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.82it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.86it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.83it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.87it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.88it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.92it/s] 61%|██████ | 14/23 [00:02<00:01, 4.94it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.74it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.79it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.86it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.88it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.91it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.80it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.86it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.95it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.98it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.96it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.94it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.95it/s] 30%|███ | 7/23 [00:01<00:03, 4.94it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.83it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.82it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.87it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.90it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.94it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.74it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.79it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.83it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.91it/s] 9%|▊ | 2/23 [00:00<00:04, 4.92it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.96it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.97it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.96it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.96it/s] 30%|███ | 7/23 [00:01<00:03, 4.98it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.99it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.97it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:02<00:01, 4.99it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.97it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.90it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.92it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.85it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.90it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.90it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [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%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.68it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.93it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.94it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.83it/s] 30%|███ | 7/23 [00:01<00:03, 4.89it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.91it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.92it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.85it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.89it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.84it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.88it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.92it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.76it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.79it/s] 100%|██████████| 23/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.7ms Speed: 3.5ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.94it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.75it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.82it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.87it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.87it/s] 30%|███ | 7/23 [00:01<00:03, 4.90it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.78it/s] 39%|███▉ | 9/23 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Finished.
prompt
Specify things to see in the output
style of Peter Lindbergh, style of Hasselblad:1.5, three quarter cowboy shot turned to the side of young woman engrossed in playing on arcade game:1.5, energetic 90s arcade, neon lights flickering, 25 years old, cleavage, skinny, slender, young woman:1.2, vibrant 90s street fashion, high-waisted acid-wash jeans, oversized crop top graphic tee, chunky sneakers, colorful scrunchie holding up a high ponytail, layers of bright friendship bracelets, vintage arcade machines in the background, pinball machine featuring iconic 90s pop culture, reflections of neon signs on the glossy surface of the pinball machine, the sound of arcades and pinball dings filling the air, a look of concentration and excitement on the woman's face, nearby players in background dressed in typical 90s attire, graffiti art on the arcade walls, a mix of retro:modern:0.9 elements, the atmosphere bustling with the energy of the 90s youth, vibrant color palette dominated by neons and pastels, subtle hints of early digital age aesthetics, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, realisticvision-negative-embedding
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
0.8
brightness
Adjust brightness
0
contrast
Adjust contrast
-0.48
saturation
Adjust saturation
-0.2
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2140431947
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
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/749deb32c004489d8c3a59fd752d4cd0/00000-2140431947.webp
https://files.tungsten.run/uploads/29208c09a58340ce96c6cac2974ebb9b/00001-2140431948.webp
https://files.tungsten.run/uploads/57f8a7bf991143fbbcff77a1e8935e82/00002-2140431949.webp
https://files.tungsten.run/uploads/5b74f5a4300f4c1a8bf8594392487b40/00003-2140431950.webp
Finished in 113.4 seconds
v1.0: Pulling from evevalentine2017/smooth-blend 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists b61a449081c2: Pull complete 23440c978171: Pull complete 8ebdc7769cef: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: style of Peter Lindbergh, style of Hasselblad:1.5, three quarter cowboy shot turned to the side of young woman engrossed in playing on arcade game:1.5, energetic 90s arcade, neon lights flickering, 25 years old, cleavage, skinny, slender, young woman:1.2, vibrant 90s street fashion, high-waisted acid-wash jeans, oversized crop top graphic tee, chunky sneakers, colorful scrunchie holding up a high ponytail, layers of bright friendship bracelets, vintage arcade machines in the background, pinball machine featuring iconic 90s pop culture, reflections of neon signs on the glossy surface of the pinball machine, the sound of arcades and pinball dings filling the air, a look of concentration and excitement on the woman's face, nearby players in background dressed in typical 90s attire, graffiti art on the arcade walls, a mix of retro:modern:0.9 elements, the atmosphere bustling with the energy of the 90s youth, vibrant color palette dominated by neons and pastels, subtle hints of early digital age aesthetics, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>, <lora:add_detail:0.8>, <lora:contrast_slider_v10:-0.48>, <lora:add_saturation:-0.2> Full negative prompt: portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, realisticvision-negative-embedding 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:56, 1.46s/it] 5%|▌ | 2/40 [00:02<00:37, 1.01it/s] 8%|▊ | 3/40 [00:02<00:30, 1.21it/s] 10%|█ | 4/40 [00:03<00:27, 1.32it/s] 12%|█▎ | 5/40 [00:04<00:25, 1.40it/s] 15%|█▌ | 6/40 [00:04<00:23, 1.45it/s] 18%|█▊ | 7/40 [00:05<00:22, 1.48it/s] 20%|██ | 8/40 [00:05<00:21, 1.50it/s] 22%|██▎ | 9/40 [00:06<00:20, 1.52it/s] 25%|██▌ | 10/40 [00:07<00:19, 1.53it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.54it/s] 30%|███ | 12/40 [00:08<00:18, 1.54it/s] 32%|███▎ | 13/40 [00:09<00:17, 1.54it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.55it/s] 38%|███▊ | 15/40 [00:10<00:16, 1.55it/s] 40%|████ | 16/40 [00:11<00:15, 1.55it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.55it/s] 45%|████▌ | 18/40 [00:12<00:14, 1.55it/s] 48%|████▊ | 19/40 [00:13<00:13, 1.55it/s] 50%|█████ | 20/40 [00:13<00:12, 1.55it/s] 52%|█████▎ | 21/40 [00:14<00:12, 1.55it/s] 55%|█████▌ | 22/40 [00:15<00:11, 1.55it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.55it/s] 60%|██████ | 24/40 [00:16<00:10, 1.54it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.54it/s] 65%|██████▌ | 26/40 [00:17<00:09, 1.54it/s] 68%|██████▊ | 27/40 [00:18<00:08, 1.54it/s] 70%|███████ | 28/40 [00:18<00:07, 1.54it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.54it/s] 75%|███████▌ | 30/40 [00:20<00:06, 1.54it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.54it/s] 80%|████████ | 32/40 [00:21<00:05, 1.54it/s] 82%|████████▎ | 33/40 [00:22<00:04, 1.54it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.54it/s] 88%|████████▊ | 35/40 [00:23<00:03, 1.54it/s] 90%|█████████ | 36/40 [00:24<00:02, 1.54it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.53it/s] 95%|█████████▌| 38/40 [00:25<00:01, 1.53it/s] 98%|█████████▊| 39/40 [00:26<00:00, 1.53it/s] 100%|██████████| 40/40 [00:26<00:00, 1.53it/s] 100%|██████████| 40/40 [00:26<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.2ms Speed: 4.8ms preprocess, 8.2ms inference, 36.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.54it/s] 9%|▊ | 2/23 [00:00<00:06, 3.40it/s] 13%|█▎ | 3/23 [00:00<00:05, 3.95it/s] 17%|█▋ | 4/23 [00:01<00:04, 4.30it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.51it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.66it/s] 30%|███ | 7/23 [00:01<00:03, 4.60it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.72it/s] 39%|███▉ | 9/23 [00:02<00:02, 4.81it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.86it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.90it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.87it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.88it/s] 61%|██████ | 14/23 [00:03<00:01, 4.85it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.88it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.90it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.92it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.93it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.93it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.69it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.97it/s] 9%|▊ | 2/23 [00:00<00:04, 5.00it/s] 13%|█▎ | 3/23 [00:00<00:04, 5.00it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.86it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.87it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.88it/s] 30%|███ | 7/23 [00:01<00:03, 4.93it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.95it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.88it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.88it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.89it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.89it/s] 61%|██████ | 14/23 [00:02<00:01, 4.83it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.86it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.88it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.91it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.75it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.82it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.88it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.97it/s] 9%|▊ | 2/23 [00:00<00:04, 5.00it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.87it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.88it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.85it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.88it/s] 30%|███ | 7/23 [00:01<00:03, 4.90it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.90it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.92it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.93it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.94it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.95it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.91it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.82it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.85it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.88it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.91it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.93it/s] 100%|██████████| 23/23 [00:04<00:00, 4.85it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.93it/s] 9%|▊ | 2/23 [00:00<00:04, 4.97it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.97it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.82it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.84it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.92it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.92it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.72it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.78it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.85it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.85it/s] 61%|██████ | 14/23 [00:02<00:01, 4.73it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.77it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.79it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.81it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.82it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.68it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.74it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.80it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.89it/s] 9%|▊ | 2/23 [00:00<00:04, 4.95it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.98it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.96it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.91it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.93it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.92it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.95it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.96it/s] 61%|██████ | 14/23 [00:02<00:01, 4.97it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.98it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.82it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:05, 4.37it/s] 9%|▊ | 2/23 [00:00<00:04, 4.66it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.78it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.85it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.84it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.80it/s] 30%|███ | 7/23 [00:01<00:03, 4.86it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.88it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.90it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.90it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.89it/s] 61%|██████ | 14/23 [00:02<00:01, 4.91it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.92it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.94it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.94it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.95it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.95it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.93it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.71it/s] 9%|▊ | 2/23 [00:00<00:04, 4.77it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.76it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.85it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.90it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.92it/s] 30%|███ | 7/23 [00:01<00:03, 4.93it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.87it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.88it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.91it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.92it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.93it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.78it/s] 61%|██████ | 14/23 [00:02<00:01, 4.82it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.80it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.84it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.77it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.82it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.84it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.87it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.88it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.87it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [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 2 hands, 7.4ms Speed: 3.2ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.71it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.90it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.92it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.74it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.69it/s] 30%|███ | 7/23 [00:01<00:03, 4.76it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.82it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.86it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.83it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.87it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.88it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.92it/s] 61%|██████ | 14/23 [00:02<00:01, 4.94it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.74it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.79it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.86it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.88it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.91it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.80it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.86it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.95it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.98it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.96it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.94it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.95it/s] 30%|███ | 7/23 [00:01<00:03, 4.94it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.83it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.82it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.87it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.90it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.94it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.74it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.79it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.83it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.91it/s] 9%|▊ | 2/23 [00:00<00:04, 4.92it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.96it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.97it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.96it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.96it/s] 30%|███ | 7/23 [00:01<00:03, 4.98it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.99it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.97it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:02<00:01, 4.99it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.97it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.90it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.92it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.85it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.90it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.90it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [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%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.68it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.93it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.94it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.83it/s] 30%|███ | 7/23 [00:01<00:03, 4.89it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.91it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.92it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.85it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.89it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.84it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.88it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.92it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.76it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.79it/s] 100%|██████████| 23/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.7ms Speed: 3.5ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.94it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.75it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.82it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.87it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.87it/s] 30%|███ | 7/23 [00:01<00:03, 4.90it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.78it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.90it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.92it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.87it/s] 61%|██████ | 14/23 [00:02<00:01, 4.82it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.88it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.81it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.82it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.85it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.87it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.78it/s] 100%|██████████| 23/23 [00:04<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.75it/s] 9%|▊ | 2/23 [00:00<00:04, 4.69it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.78it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.84it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.89it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.93it/s] 30%|███ | 7/23 [00:01<00:03, 4.74it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.81it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.87it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.91it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.93it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.79it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.84it/s] 61%|██████ | 14/23 [00:02<00:01, 4.88it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.86it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.88it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.84it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.90it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.90it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.