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Guys in a Bar with Picx Real
picx-real:v1.0
evevalentine2017
evevalentine2017
·
Jan 10
347
Input
prompt
Specify things to see in the output
A photo of a Socrates the philosopher sitting in a busy old diner, coffee cup in front of him, photorealistic, cinematic lighting, dark atmosphere, volumetric lighting, kodak portra 160, <lora:more_details:0.7>, <lora:color_slider_v10:1.5>
negative_prompt
Specify things to not see in the output
((portrait:2)), ((mouth:2)), ((lips:2)), ((lipstick:2)), ((focus on face:2)), (focus on ass), nsfw, nipples, breasts, (CyberRealistic_Negative-neg:0.8), (headgear:1.2), mature, curvy, big tits, panties, shorts, painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, ugly, large breasts, out of focus, blur, blurry, low details, normal quality, bad quality, low quality, Wart , Rash , Boil , Cyst , worms, ugly, disgusting, unrealistic, watermark, logo, cartoon, anime, manga, illustration, painting, 3d, bad anatomy, worst quality, low quality, low resolution, extra fingers, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, ng_deepnegative_v1_75t, 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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.5
contrast
Adjust contrast
-1.36
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3550611450
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
4.1
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>
color_slider_v10.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
CyberRealistic_Negative-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/67a285c69fdd4ebfbc7015c2080720a5/00000-3550611450.webp
https://files.tungsten.run/uploads/137c2142594a400a82ae8be1e90ffc13/00001-3550611451.webp
https://files.tungsten.run/uploads/8450d7bf0939461ea5a5bbd9ba677d36/00002-3550611452.webp
https://files.tungsten.run/uploads/7e5fdf0c9354490a87fa0ff9e3900e1f/00003-3550611453.webp
Finished in 113.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: A photo of a Socrates the philosopher sitting in a busy old diner, coffee cup in front of him, photorealistic, cinematic lighting, dark atmosphere, volumetric lighting, kodak portra 160, <lora:more_details:0.7>, <lora:color_slider_v10:1.5>, <lora:add_brightness:0.5>, <lora:contrast_slider_v10:-1.36> Full negative prompt: ((portrait:2)), ((mouth:2)), ((lips:2)), ((lipstick:2)), ((focus on face:2)), (focus on ass), nsfw, nipples, breasts, (CyberRealistic_Negative-neg:0.8), (headgear:1.2), mature, curvy, big tits, panties, shorts, painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, ugly, large breasts, out of focus, blur, blurry, low details, normal quality, bad quality, low quality, Wart , Rash , Boil , Cyst , worms, ugly, disgusting, unrealistic, watermark, logo, cartoon, anime, manga, illustration, painting, 3d, bad anatomy, worst quality, low quality, low resolution, extra fingers, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, ng_deepnegative_v1_75t, realisticvision-negative-embedding 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:45, 1.99s/it] 8%|▊ | 2/24 [00:03<00:42, 1.94s/it] 12%|█▎ | 3/24 [00:05<00:40, 1.92s/it] 17%|█▋ | 4/24 [00:07<00:38, 1.93s/it] 21%|██ | 5/24 [00:09<00:34, 1.81s/it] 25%|██▌ | 6/24 [00:11<00:32, 1.79s/it] 29%|██▉ | 7/24 [00:12<00:29, 1.75s/it] 33%|███▎ | 8/24 [00:14<00:27, 1.73s/it] 38%|███▊ | 9/24 [00:16<00:26, 1.75s/it] 42%|████▏ | 10/24 [00:17<00:24, 1.74s/it] 46%|████▌ | 11/24 [00:19<00:22, 1.74s/it] 50%|█████ | 12/24 [00:21<00:20, 1.73s/it] 54%|█████▍ | 13/24 [00:22<00:18, 1.68s/it] 58%|█████▊ | 14/24 [00:25<00:20, 2.06s/it] 62%|██████▎ | 15/24 [00:27<00:17, 1.96s/it] 67%|██████▋ | 16/24 [00:29<00:15, 1.88s/it] 71%|███████ | 17/24 [00:30<00:12, 1.81s/it] 75%|███████▌ | 18/24 [00:32<00:10, 1.77s/it] 79%|███████▉ | 19/24 [00:34<00:08, 1.67s/it] 83%|████████▎ | 20/24 [00:35<00:06, 1.62s/it] 88%|████████▊ | 21/24 [00:37<00:04, 1.56s/it] 92%|█████████▏| 22/24 [00:38<00:03, 1.53s/it] 96%|█████████▌| 23/24 [00:39<00:01, 1.34s/it] 100%|██████████| 24/24 [00:39<00:00, 1.12s/it] 100%|██████████| 24/24 [00:39<00:00, 1.67s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 7.6ms Speed: 3.4ms preprocess, 7.6ms inference, 24.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.53it/s] 18%|█▊ | 2/11 [00:01<00:04, 1.82it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.96it/s] 36%|███▋ | 4/11 [00:02<00:03, 2.01it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.05it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.14it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.24it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.31it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.34it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.67it/s] 100%|██████████| 11/11 [00:04<00:00, 3.14it/s] 100%|██████████| 11/11 [00:04<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.13it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.12it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.16it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.16it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.19it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.30it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.42it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.41it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.71it/s] 100%|██████████| 11/11 [00:04<00:00, 3.16it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:05, 1.94it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.02it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.05it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.13it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.14it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.24it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.29it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.34it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.38it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.06it/s] 100%|██████████| 11/11 [00:04<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:05, 1.93it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.07it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.12it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.17it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.13it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.22it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.31it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.37it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.38it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.07it/s] 100%|██████████| 11/11 [00:04<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.10it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.14it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.17it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.19it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.18it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.29it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.28it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.26it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.31it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.09it/s] 100%|██████████| 11/11 [00:04<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.12it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.14it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.19it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.20it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.22it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.32it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.30it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.42it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.73it/s] 100%|██████████| 11/11 [00:04<00:00, 3.18it/s] 100%|██████████| 11/11 [00:04<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.08it/s] 18%|█▊ | 2/11 [00:00<00:04, 1.99it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.95it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.05it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.09it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.21it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.30it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.36it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.39it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.70it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.11it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.18it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.20it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.23it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.25it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.34it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.40it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.44it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.12it/s] 100%|██████████| 11/11 [00:04<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.12it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.04it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.12it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.17it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.18it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.29it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.37it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.41it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.44it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.75it/s] 100%|██████████| 11/11 [00:04<00:00, 3.14it/s] 100%|██████████| 11/11 [00:04<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.04it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.14it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.16it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.21it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.22it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.28it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.38it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.42it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.72it/s] 100%|██████████| 11/11 [00:04<00:00, 3.17it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.00it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.12it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.11it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.17it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.17it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.29it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.32it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.38it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.42it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.11it/s] 100%|██████████| 11/11 [00:04<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.09it/s] 18%|█▊ | 2/11 [00:01<00:04, 1.98it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.99it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.05it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.10it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.16it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.26it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.35it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.30it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.61it/s] 100%|██████████| 11/11 [00:04<00:00, 3.06it/s] 100%|██████████| 11/11 [00:04<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
A photo of a Socrates the philosopher sitting in a busy old diner, coffee cup in front of him, photorealistic, cinematic lighting, dark atmosphere, volumetric lighting, kodak portra 160, <lora:more_details:0.7>, <lora:color_slider_v10:1.5>
negative_prompt
Specify things to not see in the output
((portrait:2)), ((mouth:2)), ((lips:2)), ((lipstick:2)), ((focus on face:2)), (focus on ass), nsfw, nipples, breasts, (CyberRealistic_Negative-neg:0.8), (headgear:1.2), mature, curvy, big tits, panties, shorts, painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, ugly, large breasts, out of focus, blur, blurry, low details, normal quality, bad quality, low quality, Wart , Rash , Boil , Cyst , worms, ugly, disgusting, unrealistic, watermark, logo, cartoon, anime, manga, illustration, painting, 3d, bad anatomy, worst quality, low quality, low resolution, extra fingers, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, ng_deepnegative_v1_75t, 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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.5
contrast
Adjust contrast
-1.36
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3550611450
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
4.1
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>
color_slider_v10.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
CyberRealistic_Negative-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/67a285c69fdd4ebfbc7015c2080720a5/00000-3550611450.webp
https://files.tungsten.run/uploads/137c2142594a400a82ae8be1e90ffc13/00001-3550611451.webp
https://files.tungsten.run/uploads/8450d7bf0939461ea5a5bbd9ba677d36/00002-3550611452.webp
https://files.tungsten.run/uploads/7e5fdf0c9354490a87fa0ff9e3900e1f/00003-3550611453.webp
Finished in 113.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: A photo of a Socrates the philosopher sitting in a busy old diner, coffee cup in front of him, photorealistic, cinematic lighting, dark atmosphere, volumetric lighting, kodak portra 160, <lora:more_details:0.7>, <lora:color_slider_v10:1.5>, <lora:add_brightness:0.5>, <lora:contrast_slider_v10:-1.36> Full negative prompt: ((portrait:2)), ((mouth:2)), ((lips:2)), ((lipstick:2)), ((focus on face:2)), (focus on ass), nsfw, nipples, breasts, (CyberRealistic_Negative-neg:0.8), (headgear:1.2), mature, curvy, big tits, panties, shorts, painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, ugly, large breasts, out of focus, blur, blurry, low details, normal quality, bad quality, low quality, Wart , Rash , Boil , Cyst , worms, ugly, disgusting, unrealistic, watermark, logo, cartoon, anime, manga, illustration, painting, 3d, bad anatomy, worst quality, low quality, low resolution, extra fingers, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, ng_deepnegative_v1_75t, realisticvision-negative-embedding 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:45, 1.99s/it] 8%|▊ | 2/24 [00:03<00:42, 1.94s/it] 12%|█▎ | 3/24 [00:05<00:40, 1.92s/it] 17%|█▋ | 4/24 [00:07<00:38, 1.93s/it] 21%|██ | 5/24 [00:09<00:34, 1.81s/it] 25%|██▌ | 6/24 [00:11<00:32, 1.79s/it] 29%|██▉ | 7/24 [00:12<00:29, 1.75s/it] 33%|███▎ | 8/24 [00:14<00:27, 1.73s/it] 38%|███▊ | 9/24 [00:16<00:26, 1.75s/it] 42%|████▏ | 10/24 [00:17<00:24, 1.74s/it] 46%|████▌ | 11/24 [00:19<00:22, 1.74s/it] 50%|█████ | 12/24 [00:21<00:20, 1.73s/it] 54%|█████▍ | 13/24 [00:22<00:18, 1.68s/it] 58%|█████▊ | 14/24 [00:25<00:20, 2.06s/it] 62%|██████▎ | 15/24 [00:27<00:17, 1.96s/it] 67%|██████▋ | 16/24 [00:29<00:15, 1.88s/it] 71%|███████ | 17/24 [00:30<00:12, 1.81s/it] 75%|███████▌ | 18/24 [00:32<00:10, 1.77s/it] 79%|███████▉ | 19/24 [00:34<00:08, 1.67s/it] 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[00:04<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.13it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.12it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.16it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.16it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.19it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.30it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.42it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.41it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.71it/s] 100%|██████████| 11/11 [00:04<00:00, 3.16it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:05, 1.94it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.02it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.05it/s] 36%|███▋ | 4/11 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Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.10it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.14it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.17it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.19it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.18it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.29it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.28it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.26it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.31it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.63it/s] 100%|██████████| 11/11 [00:04<00:00, 3.09it/s] 100%|██████████| 11/11 [00:04<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 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2.70it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.11it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.18it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.20it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.23it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.25it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.34it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.40it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.44it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.12it/s] 100%|██████████| 11/11 [00:04<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.12it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.04it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.12it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.17it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.18it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.29it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.37it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.41it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.44it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.75it/s] 100%|██████████| 11/11 [00:04<00:00, 3.14it/s] 100%|██████████| 11/11 [00:04<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.04it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.14it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.16it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.21it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.22it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.28it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.38it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.42it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.72it/s] 100%|██████████| 11/11 [00:04<00:00, 3.17it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.00it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.12it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.11it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.17it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.17it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.29it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.32it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.38it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.42it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.66it/s] 100%|██████████| 11/11 [00:04<00:00, 3.11it/s] 100%|██████████| 11/11 [00:04<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.09it/s] 18%|█▊ | 2/11 [00:01<00:04, 1.98it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.99it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.05it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.10it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.16it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.26it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.35it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.30it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.61it/s] 100%|██████████| 11/11 [00:04<00:00, 3.06it/s] 100%|██████████| 11/11 [00:04<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.