Handsome Officer with WestMix Realistic
Input
prompt
Specify things to see in the output
(ultra realistic: 1.5), (ultra detailed:1.5), (masterpiece:1.5), (real life photo:1.5), professional photograph of a stunning handsome 23yo Brazilian male model posing as starship officer, (officer uniform), wearing a rifle, fit muscled, perfect biceps, thin waist, perfect jawline, modern haircut, dynamic posture posing full-body from below looking forward, <lora:more_details:0.8>.
negative_prompt
Specify things to not see in the output
((nipples:2)), ((vagina:2)), (((bad art))), (((stock image))), (((stock photo))), (((stock-photo))), ((nude)), ((bad fan art)), ((lazy art)), ((low quality)), (low efford), (rushed art), depressed, blue phase, immature, digimon, sonic, original character, OC, children, cartoon, stuffed animal, (((4chan))), (((twitter))), ((Tik Tok)), ((tiktok)), fascist, racist, Machiavellian, pepe the frog, blackface, dictated, controlled, dominated, uniform, medieval, religion, religious, holy, sacred, Russian, boring, monotone, normal, common, wrong distance, far away object in front of nearer object, (((out of frame))), ((watermark))),((signature)), striped, borders, white border, cutout, collage, incomplete word, cut off text, half letter, latent space, (((overexposed))), (((glow))), glare, lens flare, telescopic interference, low res, lowres, 3d render, (((underexposed))), ((dark)), blackness, dark background, black background, black rectangle, contour, monochrome, colorblind, green skin, ((long exposure time)), ((noisy)), (grainy), (dead pixel), (dusty), dirty, blurry, blur, smeared, fog, out of focus, high Depth of field, floating branch, floating rock, floating bush, floating tree, (((ugly))), (((bad composition))), (((bad proportions)), (((bad anatomy))), ((mangled)), ((distorted)), ((gross proportions), ((duplicate)), (((horrific))), ((mutated)), ((mutation)), (fisheye camera), wide angle camera, deformed, disfigured, morbid, long body, asymmetric, poorly drawn face, cloned face, cloned head, asymmetric ears, asymmetric ear rings, floating hair, (long neck), cross eyed, staring, stare, stare into the camera, look at the camera, blinking, winking, makeup, lipstick, eye liner, eyeliner, kitsch, bad art, bad taste, unnatural, staged, missing limb, missing arm, missing leg, floating limb, disconnected limb, extra limb, too many fingers, extra fingers, malformed limbs, malformed hands, poorly drawn hands, (mutated hands), (mutated fingers), mutilated hands, asymmetric butt, butthole, negative_hand-neg, ng_deepnegative_v1_75t, EasyNegativeV2
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
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1954830985
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
6
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_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/002d1d207a644a52af47931ea19bdeef/00000-1954830985.png
https://files.tungsten.run/uploads/970e68d1b5da474aa5e82a97dfa749ae/00001-1954830986.png
https://files.tungsten.run/uploads/c741b431bfd94eaba44b15347182cd1e/00002-1954830987.png
https://files.tungsten.run/uploads/68dae99cae024e828ee998fcd91c1742/00003-1954830988.png
Finished in 107.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (ultra realistic: 1.5), (ultra detailed:1.5), (masterpiece:1.5), (real life photo:1.5), professional photograph of a stunning handsome 23yo Brazilian male model posing as starship officer, (officer uniform), wearing a rifle, fit muscled, perfect biceps, thin waist, perfect jawline, modern haircut, dynamic posture posing full-body from below looking forward, <lora:more_details:0.8>., (masterpiece: 1.5), (ultra realistic: 1.5), (best quality: 1.5) Full negative prompt: ((nipples:2)), ((vagina:2)), (((bad art))), (((stock image))), (((stock photo))), (((stock-photo))), ((nude)), ((bad fan art)), ((lazy art)), ((low quality)), (low efford), (rushed art), depressed, blue phase, immature, digimon, sonic, original character, OC, children, cartoon, stuffed animal, (((4chan))), (((twitter))), ((Tik Tok)), ((tiktok)), fascist, racist, Machiavellian, pepe the frog, blackface, dictated, controlled, dominated, uniform, medieval, religion, religious, holy, sacred, Russian, boring, monotone, normal, common, wrong distance, far away object in front of nearer object, (((out of frame))), ((watermark))),((signature)), striped, borders, white border, cutout, collage, incomplete word, cut off text, half letter, latent space, (((overexposed))), (((glow))), glare, lens flare, telescopic interference, low res, lowres, 3d render, (((underexposed))), ((dark)), blackness, dark background, black background, black rectangle, contour, monochrome, colorblind, green skin, ((long exposure time)), ((noisy)), (grainy), (dead pixel), (dusty), dirty, blurry, blur, smeared, fog, out of focus, high Depth of field, floating branch, floating rock, floating bush, floating tree, (((ugly))), (((bad composition))), (((bad proportions)), (((bad anatomy))), ((mangled)), ((distorted)), ((gross proportions), ((duplicate)), (((horrific))), ((mutated)), ((mutation)), (fisheye camera), wide angle camera, deformed, disfigured, morbid, long body, asymmetric, poorly drawn face, cloned face, cloned head, asymmetric ears, asymmetric ear rings, floating hair, (long neck), cross eyed, staring, stare, stare into the camera, look at the camera, blinking, winking, makeup, lipstick, eye liner, eyeliner, kitsch, bad art, bad taste, unnatural, staged, missing limb, missing arm, missing leg, floating limb, disconnected limb, extra limb, too many fingers, extra fingers, malformed limbs, malformed hands, poorly drawn hands, (mutated hands), (mutated fingers), mutilated hands, asymmetric butt, butthole, negative_hand-neg, ng_deepnegative_v1_75t, EasyNegativeV2 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:48, 1.24s/it] 5%|▌ | 2/40 [00:01<00:33, 1.13it/s] 8%|▊ | 3/40 [00:02<00:28, 1.30it/s] 10%|█ | 4/40 [00:03<00:25, 1.39it/s] 12%|█▎ | 5/40 [00:03<00:24, 1.45it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.50it/s] 18%|█▊ | 7/40 [00:05<00:21, 1.52it/s] 20%|██ | 8/40 [00:05<00:20, 1.54it/s] 22%|██▎ | 9/40 [00:06<00:20, 1.55it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.55it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.56it/s] 30%|███ | 12/40 [00:08<00:17, 1.56it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.57it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.57it/s] 38%|███▊ | 15/40 [00:10<00:15, 1.56it/s] 40%|████ | 16/40 [00:10<00:15, 1.56it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.56it/s] 45%|████▌ | 18/40 [00:12<00:14, 1.56it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.56it/s] 50%|█████ | 20/40 [00:13<00:12, 1.56it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.56it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.56it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.56it/s] 60%|██████ | 24/40 [00:15<00:10, 1.56it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.56it/s] 65%|██████▌ | 26/40 [00:17<00:08, 1.56it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.56it/s] 70%|███████ | 28/40 [00:18<00:07, 1.56it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.57it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.56it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.56it/s] 80%|████████ | 32/40 [00:21<00:05, 1.56it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.56it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.56it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.56it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.56it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.56it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.56it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.56it/s] 100%|██████████| 40/40 [00:26<00:00, 1.56it/s] 100%|██████████| 40/40 [00:26<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 6.0ms preprocess, 8.0ms inference, 39.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.39it/s] 9%|▊ | 2/23 [00:00<00:06, 3.26it/s] 13%|█▎ | 3/23 [00:00<00:05, 3.87it/s] 17%|█▋ | 4/23 [00:01<00:04, 4.24it/s] 22%|██▏ | 5/23 [00:01<00:04, 4.47it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.57it/s] 30%|███ | 7/23 [00:01<00:03, 4.53it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.66it/s] 39%|███▉ | 9/23 [00:02<00:02, 4.75it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.78it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.82it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.82it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.85it/s] 61%|██████ | 14/23 [00:03<00:01, 4.88it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.88it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.87it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.79it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.81it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.83it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.84it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.67it/s] 100%|██████████| 23/23 [00:05<00:00, 4.72it/s] 100%|██████████| 23/23 [00:05<00:00, 4.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 32.1ms Speed: 3.0ms preprocess, 32.1ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.7ms Speed: 2.9ms preprocess, 7.7ms 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, 4.82it/s] 9%|▊ | 2/23 [00:00<00:04, 4.66it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.77it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.83it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.87it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.60it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.68it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.76it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.80it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.80it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.65it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.69it/s] 61%|██████ | 14/23 [00:02<00:01, 4.74it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.79it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.80it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.67it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.73it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.77it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.74it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.75it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.70it/s] 100%|██████████| 23/23 [00:04<00:00, 4.73it/s] 100%|██████████| 23/23 [00:04<00:00, 4.74it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 4 hands, 7.8ms Speed: 3.9ms preprocess, 7.8ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.66it/s] 9%|▊ | 2/23 [00:00<00:04, 4.65it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.70it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.73it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.65it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.67it/s] 30%|███ | 7/23 [00:01<00:03, 4.62it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.66it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.71it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.78it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.75it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.80it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.70it/s] 61%|██████ | 14/23 [00:02<00:01, 4.75it/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, 4.82it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.77it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.73it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.75it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.74it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.79it/s] 100%|██████████| 23/23 [00:04<00:00, 4.77it/s] 100%|██████████| 23/23 [00:04<00:00, 4.74it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.78it/s] 9%|▊ | 2/23 [00:00<00:04, 4.76it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.86it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.90it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.87it/s] 30%|███ | 7/23 [00:01<00:03, 4.87it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.75it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.74it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.77it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.79it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.82it/s] 61%|██████ | 14/23 [00:02<00:01, 4.79it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.79it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.76it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.76it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.71it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.72it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.73it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.75it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.76it/s] 100%|██████████| 23/23 [00:04<00:00, 4.60it/s] 100%|██████████| 23/23 [00:04<00:00, 4.76it/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, 4.81it/s] 9%|▊ | 2/23 [00:00<00:04, 4.85it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.72it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.75it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.78it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.81it/s] 30%|███ | 7/23 [00:01<00:03, 4.83it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.81it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.83it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.81it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.81it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.82it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.79it/s] 61%|██████ | 14/23 [00:02<00:01, 4.66it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.67it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.74it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.77it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.79it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.81it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.85it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.81it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.85it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/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, 4.83it/s] 9%|▊ | 2/23 [00:00<00:04, 4.83it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.80it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.84it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.85it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.86it/s] 30%|███ | 7/23 [00:01<00:03, 4.87it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.87it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.84it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.83it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.82it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.83it/s] 61%|██████ | 14/23 [00:02<00:01, 4.86it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.87it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.87it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.87it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.89it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.82it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.82it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.81it/s] 100%|██████████| 23/23 [00:04<00:00, 4.78it/s] 100%|██████████| 23/23 [00:04<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.9ms preprocess, 7.7ms 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, 4.84it/s] 9%|▊ | 2/23 [00:00<00:04, 4.76it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.83it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.87it/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, 4.89it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.87it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.84it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.70it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.72it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.78it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.82it/s] 61%|██████ | 14/23 [00:02<00:01, 4.83it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.67it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.65it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.72it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.78it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.79it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.64it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.67it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.69it/s] 100%|██████████| 23/23 [00:04<00:00, 4.70it/s] 100%|██████████| 23/23 [00:04<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.8ms 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, 4.57it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.70it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.77it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.78it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.76it/s] 30%|███ | 7/23 [00:01<00:03, 4.57it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.66it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.72it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.74it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.71it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.70it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.74it/s] 61%|██████ | 14/23 [00:02<00:01, 4.79it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.82it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.84it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.69it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.75it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.78it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.80it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.83it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.71it/s] 100%|██████████| 23/23 [00:04<00:00, 4.77it/s] 100%|██████████| 23/23 [00:04<00:00, 4.74it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.45s Move latents to cpu... done in 0.25s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.87it/s] 9%|▊ | 2/23 [00:00<00:04, 4.84it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.78it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.65it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.66it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.70it/s] 30%|███ | 7/23 [00:01<00:03, 4.68it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.70it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.72it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.71it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.76it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.80it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.80it/s] 61%|██████ | 14/23 [00:02<00:01, 4.73it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.78it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.80it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.79it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.68it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.74it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.77it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.79it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.79it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.0ms preprocess, 7.8ms 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, 4.83it/s] 9%|▊ | 2/23 [00:00<00:04, 4.80it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.81it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.80it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.79it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.82it/s] 30%|███ | 7/23 [00:01<00:03, 4.84it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.79it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.81it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.83it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.80it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.80it/s] 61%|██████ | 14/23 [00:02<00:01, 4.82it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.81it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.81it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.80it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.81it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.78it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.81it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.78it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.80it/s] 9%|▊ | 2/23 [00:00<00:04, 4.81it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.85it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.85it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.82it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.83it/s] 30%|███ | 7/23 [00:01<00:03, 4.84it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.83it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.81it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.78it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.81it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.83it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.83it/s] 61%|██████ | 14/23 [00:02<00:01, 4.80it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.75it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.76it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.75it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.79it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.83it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.80it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.79it/s] 100%|██████████| 23/23 [00:04<00:00, 4.75it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(ultra realistic: 1.5), (ultra detailed:1.5), (masterpiece:1.5), (real life photo:1.5), professional photograph of a stunning handsome 23yo Brazilian male model posing as starship officer, (officer uniform), wearing a rifle, fit muscled, perfect biceps, thin waist, perfect jawline, modern haircut, dynamic posture posing full-body from below looking forward, <lora:more_details:0.8>.
negative_prompt
Specify things to not see in the output
((nipples:2)), ((vagina:2)), (((bad art))), (((stock image))), (((stock photo))), (((stock-photo))), ((nude)), ((bad fan art)), ((lazy art)), ((low quality)), (low efford), (rushed art), depressed, blue phase, immature, digimon, sonic, original character, OC, children, cartoon, stuffed animal, (((4chan))), (((twitter))), ((Tik Tok)), ((tiktok)), fascist, racist, Machiavellian, pepe the frog, blackface, dictated, controlled, dominated, uniform, medieval, religion, religious, holy, sacred, Russian, boring, monotone, normal, common, wrong distance, far away object in front of nearer object, (((out of frame))), ((watermark))),((signature)), striped, borders, white border, cutout, collage, incomplete word, cut off text, half letter, latent space, (((overexposed))), (((glow))), glare, lens flare, telescopic interference, low res, lowres, 3d render, (((underexposed))), ((dark)), blackness, dark background, black background, black rectangle, contour, monochrome, colorblind, green skin, ((long exposure time)), ((noisy)), (grainy), (dead pixel), (dusty), dirty, blurry, blur, smeared, fog, out of focus, high Depth of field, floating branch, floating rock, floating bush, floating tree, (((ugly))), (((bad composition))), (((bad proportions)), (((bad anatomy))), ((mangled)), ((distorted)), ((gross proportions), ((duplicate)), (((horrific))), ((mutated)), ((mutation)), (fisheye camera), wide angle camera, deformed, disfigured, morbid, long body, asymmetric, poorly drawn face, cloned face, cloned head, asymmetric ears, asymmetric ear rings, floating hair, (long neck), cross eyed, staring, stare, stare into the camera, look at the camera, blinking, winking, makeup, lipstick, eye liner, eyeliner, kitsch, bad art, bad taste, unnatural, staged, missing limb, missing arm, missing leg, floating limb, disconnected limb, extra limb, too many fingers, extra fingers, malformed limbs, malformed hands, poorly drawn hands, (mutated hands), (mutated fingers), mutilated hands, asymmetric butt, butthole, negative_hand-neg, ng_deepnegative_v1_75t, EasyNegativeV2
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
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1954830985
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
6
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_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/002d1d207a644a52af47931ea19bdeef/00000-1954830985.png
https://files.tungsten.run/uploads/970e68d1b5da474aa5e82a97dfa749ae/00001-1954830986.png
https://files.tungsten.run/uploads/c741b431bfd94eaba44b15347182cd1e/00002-1954830987.png
https://files.tungsten.run/uploads/68dae99cae024e828ee998fcd91c1742/00003-1954830988.png
Finished in 107.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (ultra realistic: 1.5), (ultra detailed:1.5), (masterpiece:1.5), (real life photo:1.5), professional photograph of a stunning handsome 23yo Brazilian male model posing as starship officer, (officer uniform), wearing a rifle, fit muscled, perfect biceps, thin waist, perfect jawline, modern haircut, dynamic posture posing full-body from below looking forward, <lora:more_details:0.8>., (masterpiece: 1.5), (ultra realistic: 1.5), (best quality: 1.5) Full negative prompt: ((nipples:2)), ((vagina:2)), (((bad art))), (((stock image))), (((stock photo))), (((stock-photo))), ((nude)), ((bad fan art)), ((lazy art)), ((low quality)), (low efford), (rushed art), depressed, blue phase, immature, digimon, sonic, original character, OC, children, cartoon, stuffed animal, (((4chan))), (((twitter))), ((Tik Tok)), ((tiktok)), fascist, racist, Machiavellian, pepe the frog, blackface, dictated, controlled, dominated, uniform, medieval, religion, religious, holy, sacred, Russian, boring, monotone, normal, common, wrong distance, far away object in front of nearer object, (((out of frame))), ((watermark))),((signature)), striped, borders, white border, cutout, collage, incomplete word, cut off text, half letter, latent space, (((overexposed))), (((glow))), glare, lens flare, telescopic interference, low res, lowres, 3d render, (((underexposed))), ((dark)), blackness, dark background, black background, black rectangle, contour, monochrome, colorblind, green skin, ((long exposure time)), ((noisy)), (grainy), (dead pixel), (dusty), dirty, blurry, blur, smeared, fog, out of focus, high Depth of field, floating branch, floating rock, floating bush, floating tree, (((ugly))), (((bad composition))), (((bad proportions)), (((bad anatomy))), ((mangled)), ((distorted)), ((gross proportions), ((duplicate)), (((horrific))), ((mutated)), ((mutation)), (fisheye camera), wide angle camera, deformed, disfigured, morbid, long body, asymmetric, poorly drawn face, cloned face, cloned head, asymmetric ears, asymmetric ear rings, floating hair, (long neck), cross eyed, staring, stare, stare into the camera, look at the camera, blinking, winking, makeup, lipstick, eye liner, eyeliner, kitsch, bad art, bad taste, unnatural, staged, missing limb, missing arm, missing leg, floating limb, disconnected limb, extra limb, too many fingers, extra fingers, malformed limbs, malformed hands, poorly drawn hands, (mutated hands), (mutated fingers), mutilated hands, asymmetric butt, butthole, negative_hand-neg, ng_deepnegative_v1_75t, EasyNegativeV2 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:48, 1.24s/it] 5%|▌ | 2/40 [00:01<00:33, 1.13it/s] 8%|▊ | 3/40 [00:02<00:28, 1.30it/s] 10%|█ | 4/40 [00:03<00:25, 1.39it/s] 12%|█▎ | 5/40 [00:03<00:24, 1.45it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.50it/s] 18%|█▊ | 7/40 [00:05<00:21, 1.52it/s] 20%|██ | 8/40 [00:05<00:20, 1.54it/s] 22%|██▎ | 9/40 [00:06<00:20, 1.55it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.55it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.56it/s] 30%|███ | 12/40 [00:08<00:17, 1.56it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.57it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.57it/s] 38%|███▊ | 15/40 [00:10<00:15, 1.56it/s] 40%|████ | 16/40 [00:10<00:15, 1.56it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.56it/s] 45%|████▌ | 18/40 [00:12<00:14, 1.56it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.56it/s] 50%|█████ | 20/40 [00:13<00:12, 1.56it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.56it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.56it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.56it/s] 60%|██████ | 24/40 [00:15<00:10, 1.56it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.56it/s] 65%|██████▌ | 26/40 [00:17<00:08, 1.56it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.56it/s] 70%|███████ | 28/40 [00:18<00:07, 1.56it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.57it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.56it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.56it/s] 80%|████████ | 32/40 [00:21<00:05, 1.56it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.56it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.56it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.56it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.56it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.56it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.56it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.56it/s] 100%|██████████| 40/40 [00:26<00:00, 1.56it/s] 100%|██████████| 40/40 [00:26<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 6.0ms preprocess, 8.0ms inference, 39.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.39it/s] 9%|▊ | 2/23 [00:00<00:06, 3.26it/s] 13%|█▎ | 3/23 [00:00<00:05, 3.87it/s] 17%|█▋ | 4/23 [00:01<00:04, 4.24it/s] 22%|██▏ | 5/23 [00:01<00:04, 4.47it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.57it/s] 30%|███ | 7/23 [00:01<00:03, 4.53it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.66it/s] 39%|███▉ | 9/23 [00:02<00:02, 4.75it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.78it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.82it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.82it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.85it/s] 61%|██████ | 14/23 [00:03<00:01, 4.88it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.88it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.87it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.79it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.81it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.83it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.84it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.67it/s] 100%|██████████| 23/23 [00:05<00:00, 4.72it/s] 100%|██████████| 23/23 [00:05<00:00, 4.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 32.1ms Speed: 3.0ms preprocess, 32.1ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.7ms Speed: 2.9ms preprocess, 7.7ms 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, 4.82it/s] 9%|▊ | 2/23 [00:00<00:04, 4.66it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.77it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.83it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.87it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.60it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.68it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.76it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.80it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.80it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.65it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.69it/s] 61%|██████ | 14/23 [00:02<00:01, 4.74it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.79it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.80it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.67it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.73it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.77it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.74it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.75it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.70it/s] 100%|██████████| 23/23 [00:04<00:00, 4.73it/s] 100%|██████████| 23/23 [00:04<00:00, 4.74it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 4 hands, 7.8ms Speed: 3.9ms preprocess, 7.8ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.66it/s] 9%|▊ | 2/23 [00:00<00:04, 4.65it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.70it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.73it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.65it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.67it/s] 30%|███ | 7/23 [00:01<00:03, 4.62it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.66it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.71it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.78it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.75it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.80it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.70it/s] 61%|██████ | 14/23 [00:02<00:01, 4.75it/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, 4.82it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.77it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.73it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.75it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.74it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.79it/s] 100%|██████████| 23/23 [00:04<00:00, 4.77it/s] 100%|██████████| 23/23 [00:04<00:00, 4.74it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.78it/s] 9%|▊ | 2/23 [00:00<00:04, 4.76it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.86it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.90it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.87it/s] 30%|███ | 7/23 [00:01<00:03, 4.87it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.75it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.74it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.77it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.79it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.82it/s] 61%|██████ | 14/23 [00:02<00:01, 4.79it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.79it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.76it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.76it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.71it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.72it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.73it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.75it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.76it/s] 100%|██████████| 23/23 [00:04<00:00, 4.60it/s] 100%|██████████| 23/23 [00:04<00:00, 4.76it/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, 4.81it/s] 9%|▊ | 2/23 [00:00<00:04, 4.85it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.72it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.75it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.78it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.81it/s] 30%|███ | 7/23 [00:01<00:03, 4.83it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.81it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.83it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.81it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.81it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.82it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.79it/s] 61%|██████ | 14/23 [00:02<00:01, 4.66it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.67it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.74it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.77it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.79it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.81it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.85it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.81it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.85it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/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, 4.83it/s] 9%|▊ | 2/23 [00:00<00:04, 4.83it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.80it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.84it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.85it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.86it/s] 30%|███ | 7/23 [00:01<00:03, 4.87it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.87it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.84it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.83it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.82it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.83it/s] 61%|██████ | 14/23 [00:02<00:01, 4.86it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.87it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.87it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.87it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.89it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.82it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.82it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.81it/s] 100%|██████████| 23/23 [00:04<00:00, 4.78it/s] 100%|██████████| 23/23 [00:04<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.9ms preprocess, 7.7ms 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, 4.84it/s] 9%|▊ | 2/23 [00:00<00:04, 4.76it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.83it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.87it/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, 4.89it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.87it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.84it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.70it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.72it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.78it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.82it/s] 61%|██████ | 14/23 [00:02<00:01, 4.83it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.67it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.65it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.72it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.78it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.79it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.64it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.67it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.69it/s] 100%|██████████| 23/23 [00:04<00:00, 4.70it/s] 100%|██████████| 23/23 [00:04<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.8ms 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, 4.57it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.70it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.77it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.78it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.76it/s] 30%|███ | 7/23 [00:01<00:03, 4.57it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.66it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.72it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.74it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.71it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.70it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.74it/s] 61%|██████ | 14/23 [00:02<00:01, 4.79it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.82it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.84it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.69it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.75it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.78it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.80it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.83it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.71it/s] 100%|██████████| 23/23 [00:04<00:00, 4.77it/s] 100%|██████████| 23/23 [00:04<00:00, 4.74it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.45s Move latents to cpu... done in 0.25s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.87it/s] 9%|▊ | 2/23 [00:00<00:04, 4.84it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.78it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.65it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.66it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.70it/s] 30%|███ | 7/23 [00:01<00:03, 4.68it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.70it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.72it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.71it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.76it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.80it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.80it/s] 61%|██████ | 14/23 [00:02<00:01, 4.73it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.78it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.80it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.79it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.68it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.74it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.77it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.79it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.79it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.0ms preprocess, 7.8ms 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, 4.83it/s] 9%|▊ | 2/23 [00:00<00:04, 4.80it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.81it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.80it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.79it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.82it/s] 30%|███ | 7/23 [00:01<00:03, 4.84it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.79it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.81it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.83it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.80it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.80it/s] 61%|██████ | 14/23 [00:02<00:01, 4.82it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.81it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.81it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.80it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.81it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.78it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.81it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.78it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.80it/s] 9%|▊ | 2/23 [00:00<00:04, 4.81it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.85it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.85it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.82it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.83it/s] 30%|███ | 7/23 [00:01<00:03, 4.84it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.83it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.81it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.78it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.81it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.83it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.83it/s] 61%|██████ | 14/23 [00:02<00:01, 4.80it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.75it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.76it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.75it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.79it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.83it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.80it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.79it/s] 100%|██████████| 23/23 [00:04<00:00, 4.75it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Finished.