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Superman Tees with You Mix
you-mix:v1.0
evevalentine2017
evevalentine2017
·
Jan 26
371
Input
prompt
Specify things to see in the output
1boy, man with black hair and a serious look, ((t-shirt)), jeans, hands in pockets, superman logo, muscular, solo, city background
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, badhandv4, flat chest, (worst quality, low quality, normal quality, text, signature, watermark:2), lowres, bad anatomy, normal quality, (monochrome, grayscale, strabismus, freckles, clothes:1.2)
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
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1636520539
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
45
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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)
negative_hand-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)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/75a9b17278fb4352976a3d003ad56c6d/00000-1636520539.webp
https://files.tungsten.run/uploads/fcdcb2073de447e7a91cfaeb14b59613/00001-1636520540.webp
https://files.tungsten.run/uploads/311a2d3fa7cc4946bdad468e34996ce7/00002-1636520541.webp
https://files.tungsten.run/uploads/b38043efab994491b89a362e705efbe1/00003-1636520542.webp
Finished in 72.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: 1boy, man with black hair and a serious look, ((t-shirt)), jeans, hands in pockets, superman logo, muscular, solo, city background Full negative prompt: ng_deepnegative_v1_75t, badhandv4, flat chest, (worst quality, low quality, normal quality, text, signature, watermark:2), lowres, bad anatomy, normal quality, (monochrome, grayscale, strabismus, freckles, clothes:1.2) 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:00<00:28, 1.53it/s] 4%|▍ | 2/45 [00:01<00:28, 1.50it/s] 7%|▋ | 3/45 [00:01<00:27, 1.50it/s] 9%|▉ | 4/45 [00:02<00:27, 1.50it/s] 11%|█ | 5/45 [00:03<00:26, 1.49it/s] 13%|█▎ | 6/45 [00:04<00:26, 1.50it/s] 16%|█▌ | 7/45 [00:04<00:25, 1.49it/s] 18%|█▊ | 8/45 [00:05<00:24, 1.49it/s] 20%|██ | 9/45 [00:06<00:24, 1.49it/s] 22%|██▏ | 10/45 [00:06<00:23, 1.49it/s] 24%|██▍ | 11/45 [00:07<00:22, 1.49it/s] 27%|██▋ | 12/45 [00:08<00:22, 1.49it/s] 29%|██▉ | 13/45 [00:08<00:21, 1.49it/s] 31%|███ | 14/45 [00:09<00:21, 1.48it/s] 33%|███▎ | 15/45 [00:10<00:20, 1.48it/s] 36%|███▌ | 16/45 [00:10<00:19, 1.48it/s] 38%|███▊ | 17/45 [00:11<00:18, 1.48it/s] 40%|████ | 18/45 [00:12<00:18, 1.48it/s] 42%|████▏ | 19/45 [00:12<00:17, 1.48it/s] 44%|████▍ | 20/45 [00:13<00:16, 1.48it/s] 47%|████▋ | 21/45 [00:14<00:16, 1.48it/s] 49%|████▉ | 22/45 [00:14<00:15, 1.48it/s] 51%|█████ | 23/45 [00:15<00:14, 1.48it/s] 53%|█████▎ | 24/45 [00:16<00:14, 1.47it/s] 56%|█████▌ | 25/45 [00:16<00:13, 1.48it/s] 58%|█████▊ | 26/45 [00:17<00:12, 1.48it/s] 60%|██████ | 27/45 [00:18<00:12, 1.48it/s] 62%|██████▏ | 28/45 [00:18<00:11, 1.48it/s] 64%|██████▍ | 29/45 [00:19<00:10, 1.48it/s] 67%|██████▋ | 30/45 [00:20<00:10, 1.48it/s] 69%|██████▉ | 31/45 [00:20<00:09, 1.48it/s] 71%|███████ | 32/45 [00:21<00:08, 1.48it/s] 73%|███████▎ | 33/45 [00:22<00:08, 1.47it/s] 76%|███████▌ | 34/45 [00:22<00:07, 1.48it/s] 78%|███████▊ | 35/45 [00:23<00:06, 1.48it/s] 80%|████████ | 36/45 [00:24<00:06, 1.47it/s] 82%|████████▏ | 37/45 [00:24<00:05, 1.47it/s] 84%|████████▍ | 38/45 [00:25<00:04, 1.47it/s] 87%|████████▋ | 39/45 [00:26<00:04, 1.47it/s] 89%|████████▉ | 40/45 [00:27<00:03, 1.47it/s] 91%|█████████ | 41/45 [00:27<00:02, 1.47it/s] 93%|█████████▎| 42/45 [00:28<00:02, 1.47it/s] 96%|█████████▌| 43/45 [00:29<00:01, 1.47it/s] 98%|█████████▊| 44/45 [00:29<00:00, 1.47it/s] 100%|██████████| 45/45 [00:30<00:00, 1.47it/s] 100%|██████████| 45/45 [00:30<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.2ms Speed: 3.3ms preprocess, 8.2ms inference, 35.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:06, 3.28it/s] 10%|▉ | 2/21 [00:00<00:04, 4.53it/s] 14%|█▍ | 3/21 [00:00<00:03, 5.27it/s] 19%|█▉ | 4/21 [00:00<00:02, 5.69it/s] 24%|██▍ | 5/21 [00:00<00:02, 5.97it/s] 29%|██▊ | 6/21 [00:01<00:02, 6.07it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.15it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.26it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.25it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.32it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.36it/s] 57%|█████▋ | 12/21 [00:02<00:01, 6.35it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.35it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.35it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.38it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.40it/s] 81%|████████ | 17/21 [00:02<00:00, 6.40it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.40it/s] 90%|█████████ | 19/21 [00:03<00:00, 6.38it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.37it/s] 100%|██████████| 21/21 [00:03<00:00, 6.40it/s] 100%|██████████| 21/21 [00:03<00:00, 6.12it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.9ms Speed: 2.9ms preprocess, 8.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.94it/s] 10%|▉ | 2/21 [00:00<00:02, 6.72it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.62it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.58it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.57it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.48it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.42it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.37it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.41it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.44it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.46it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.43it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.37it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.34it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.36it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.39it/s] 81%|████████ | 17/21 [00:02<00:00, 6.42it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.44it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.39it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.34it/s] 100%|██████████| 21/21 [00:03<00:00, 6.34it/s] 100%|██████████| 21/21 [00:03<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.85it/s] 10%|▉ | 2/21 [00:00<00:02, 6.62it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.58it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.56it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.54it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.46it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.37it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.34it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.39it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.42it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.45it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.43it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.31it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.34it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.36it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.40it/s] 81%|████████ | 17/21 [00:02<00:00, 6.43it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.42it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.41it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.36it/s] 100%|██████████| 21/21 [00:03<00:00, 6.35it/s] 100%|██████████| 21/21 [00:03<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.92it/s] 10%|▉ | 2/21 [00:00<00:02, 6.64it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.57it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.57it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.54it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.44it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.30it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.29it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.34it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.39it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.42it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.39it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.33it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.28it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.31it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.36it/s] 81%|████████ | 17/21 [00:02<00:00, 6.41it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.41it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.36it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.32it/s] 100%|██████████| 21/21 [00:03<00:00, 6.35it/s] 100%|██████████| 21/21 [00:03<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.87it/s] 10%|▉ | 2/21 [00:00<00:02, 6.67it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.60it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.57it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.56it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.49it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.39it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.31it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.36it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.40it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.44it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.42it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.35it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.30it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.31it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.35it/s] 81%|████████ | 17/21 [00:02<00:00, 6.38it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.40it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.37it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.36it/s] 100%|██████████| 21/21 [00:03<00:00, 6.35it/s] 100%|██████████| 21/21 [00:03<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.89it/s] 10%|▉ | 2/21 [00:00<00:02, 6.67it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.59it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.53it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.52it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.43it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.37it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.33it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.37it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.43it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.44it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.42it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.37it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.33it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.35it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.38it/s] 81%|████████ | 17/21 [00:02<00:00, 6.40it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.37it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.33it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.31it/s] 100%|██████████| 21/21 [00:03<00:00, 6.34it/s] 100%|██████████| 21/21 [00:03<00:00, 6.40it/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: 2.7ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.77it/s] 10%|▉ | 2/21 [00:00<00:02, 6.62it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.54it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.38it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.45it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.35it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.29it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.27it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.31it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.36it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.39it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.40it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.33it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.32it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.33it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.37it/s] 81%|████████ | 17/21 [00:02<00:00, 6.42it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.39it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.34it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.36it/s] 100%|██████████| 21/21 [00:03<00:00, 6.36it/s] 100%|██████████| 21/21 [00:03<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.69it/s] 10%|▉ | 2/21 [00:00<00:02, 6.57it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.54it/s] 19%|█▉ | 4/21 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Finished.
prompt
Specify things to see in the output
1boy, man with black hair and a serious look, ((t-shirt)), jeans, hands in pockets, superman logo, muscular, solo, city background
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, badhandv4, flat chest, (worst quality, low quality, normal quality, text, signature, watermark:2), lowres, bad anatomy, normal quality, (monochrome, grayscale, strabismus, freckles, clothes:1.2)
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
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1636520539
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
45
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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)
negative_hand-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)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/75a9b17278fb4352976a3d003ad56c6d/00000-1636520539.webp
https://files.tungsten.run/uploads/fcdcb2073de447e7a91cfaeb14b59613/00001-1636520540.webp
https://files.tungsten.run/uploads/311a2d3fa7cc4946bdad468e34996ce7/00002-1636520541.webp
https://files.tungsten.run/uploads/b38043efab994491b89a362e705efbe1/00003-1636520542.webp
Finished in 72.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: 1boy, man with black hair and a serious look, ((t-shirt)), jeans, hands in pockets, superman logo, muscular, solo, city background Full negative prompt: ng_deepnegative_v1_75t, badhandv4, flat chest, (worst quality, low quality, normal quality, text, signature, watermark:2), lowres, bad anatomy, normal quality, (monochrome, grayscale, strabismus, freckles, clothes:1.2) 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:00<00:28, 1.53it/s] 4%|▍ | 2/45 [00:01<00:28, 1.50it/s] 7%|▋ | 3/45 [00:01<00:27, 1.50it/s] 9%|▉ | 4/45 [00:02<00:27, 1.50it/s] 11%|█ | 5/45 [00:03<00:26, 1.49it/s] 13%|█▎ | 6/45 [00:04<00:26, 1.50it/s] 16%|█▌ | 7/45 [00:04<00:25, 1.49it/s] 18%|█▊ | 8/45 [00:05<00:24, 1.49it/s] 20%|██ | 9/45 [00:06<00:24, 1.49it/s] 22%|██▏ | 10/45 [00:06<00:23, 1.49it/s] 24%|██▍ | 11/45 [00:07<00:22, 1.49it/s] 27%|██▋ | 12/45 [00:08<00:22, 1.49it/s] 29%|██▉ | 13/45 [00:08<00:21, 1.49it/s] 31%|███ | 14/45 [00:09<00:21, 1.48it/s] 33%|███▎ | 15/45 [00:10<00:20, 1.48it/s] 36%|███▌ | 16/45 [00:10<00:19, 1.48it/s] 38%|███▊ | 17/45 [00:11<00:18, 1.48it/s] 40%|████ | 18/45 [00:12<00:18, 1.48it/s] 42%|████▏ | 19/45 [00:12<00:17, 1.48it/s] 44%|████▍ | 20/45 [00:13<00:16, 1.48it/s] 47%|████▋ | 21/45 [00:14<00:16, 1.48it/s] 49%|████▉ | 22/45 [00:14<00:15, 1.48it/s] 51%|█████ | 23/45 [00:15<00:14, 1.48it/s] 53%|█████▎ | 24/45 [00:16<00:14, 1.47it/s] 56%|█████▌ | 25/45 [00:16<00:13, 1.48it/s] 58%|█████▊ | 26/45 [00:17<00:12, 1.48it/s] 60%|██████ | 27/45 [00:18<00:12, 1.48it/s] 62%|██████▏ | 28/45 [00:18<00:11, 1.48it/s] 64%|██████▍ | 29/45 [00:19<00:10, 1.48it/s] 67%|██████▋ | 30/45 [00:20<00:10, 1.48it/s] 69%|██████▉ | 31/45 [00:20<00:09, 1.48it/s] 71%|███████ | 32/45 [00:21<00:08, 1.48it/s] 73%|███████▎ | 33/45 [00:22<00:08, 1.47it/s] 76%|███████▌ | 34/45 [00:22<00:07, 1.48it/s] 78%|███████▊ | 35/45 [00:23<00:06, 1.48it/s] 80%|████████ | 36/45 [00:24<00:06, 1.47it/s] 82%|████████▏ | 37/45 [00:24<00:05, 1.47it/s] 84%|████████▍ | 38/45 [00:25<00:04, 1.47it/s] 87%|████████▋ | 39/45 [00:26<00:04, 1.47it/s] 89%|████████▉ | 40/45 [00:27<00:03, 1.47it/s] 91%|█████████ | 41/45 [00:27<00:02, 1.47it/s] 93%|█████████▎| 42/45 [00:28<00:02, 1.47it/s] 96%|█████████▌| 43/45 [00:29<00:01, 1.47it/s] 98%|█████████▊| 44/45 [00:29<00:00, 1.47it/s] 100%|██████████| 45/45 [00:30<00:00, 1.47it/s] 100%|██████████| 45/45 [00:30<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.2ms Speed: 3.3ms preprocess, 8.2ms inference, 35.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:06, 3.28it/s] 10%|▉ | 2/21 [00:00<00:04, 4.53it/s] 14%|█▍ | 3/21 [00:00<00:03, 5.27it/s] 19%|█▉ | 4/21 [00:00<00:02, 5.69it/s] 24%|██▍ | 5/21 [00:00<00:02, 5.97it/s] 29%|██▊ | 6/21 [00:01<00:02, 6.07it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.15it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.26it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.25it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.32it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.36it/s] 57%|█████▋ | 12/21 [00:02<00:01, 6.35it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.35it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.35it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.38it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.40it/s] 81%|████████ | 17/21 [00:02<00:00, 6.40it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.40it/s] 90%|█████████ | 19/21 [00:03<00:00, 6.38it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.37it/s] 100%|██████████| 21/21 [00:03<00:00, 6.40it/s] 100%|██████████| 21/21 [00:03<00:00, 6.12it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.9ms Speed: 2.9ms preprocess, 8.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.94it/s] 10%|▉ | 2/21 [00:00<00:02, 6.72it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.62it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.58it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.57it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.48it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.42it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.37it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.41it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.44it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.46it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.43it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.37it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.34it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.36it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.39it/s] 81%|████████ | 17/21 [00:02<00:00, 6.42it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.44it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.39it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.34it/s] 100%|██████████| 21/21 [00:03<00:00, 6.34it/s] 100%|██████████| 21/21 [00:03<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.85it/s] 10%|▉ | 2/21 [00:00<00:02, 6.62it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.58it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.56it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.54it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.46it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.37it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.34it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.39it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.42it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.45it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.43it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.31it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.34it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.36it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.40it/s] 81%|████████ | 17/21 [00:02<00:00, 6.43it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.42it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.41it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.36it/s] 100%|██████████| 21/21 [00:03<00:00, 6.35it/s] 100%|██████████| 21/21 [00:03<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.92it/s] 10%|▉ | 2/21 [00:00<00:02, 6.64it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.57it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.57it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.54it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.44it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.30it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.29it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.34it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.39it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.42it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.39it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.33it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.28it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.31it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.36it/s] 81%|████████ | 17/21 [00:02<00:00, 6.41it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.41it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.36it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.32it/s] 100%|██████████| 21/21 [00:03<00:00, 6.35it/s] 100%|██████████| 21/21 [00:03<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.87it/s] 10%|▉ | 2/21 [00:00<00:02, 6.67it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.60it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.57it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.56it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.49it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.39it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.31it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.36it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.40it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.44it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.42it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.35it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.30it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.31it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.35it/s] 81%|████████ | 17/21 [00:02<00:00, 6.38it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.40it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.37it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.36it/s] 100%|██████████| 21/21 [00:03<00:00, 6.35it/s] 100%|██████████| 21/21 [00:03<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.89it/s] 10%|▉ | 2/21 [00:00<00:02, 6.67it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.59it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.53it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.52it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.43it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.37it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.33it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.37it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.43it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.44it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.42it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.37it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.33it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.35it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.38it/s] 81%|████████ | 17/21 [00:02<00:00, 6.40it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.37it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.33it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.31it/s] 100%|██████████| 21/21 [00:03<00:00, 6.34it/s] 100%|██████████| 21/21 [00:03<00:00, 6.40it/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: 2.7ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.77it/s] 10%|▉ | 2/21 [00:00<00:02, 6.62it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.54it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.38it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.45it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.35it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.29it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.27it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.31it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.36it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.39it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.40it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.33it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.32it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.33it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.37it/s] 81%|████████ | 17/21 [00:02<00:00, 6.42it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.39it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.34it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.36it/s] 100%|██████████| 21/21 [00:03<00:00, 6.36it/s] 100%|██████████| 21/21 [00:03<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:02, 6.69it/s] 10%|▉ | 2/21 [00:00<00:02, 6.57it/s] 14%|█▍ | 3/21 [00:00<00:02, 6.54it/s] 19%|█▉ | 4/21 [00:00<00:02, 6.55it/s] 24%|██▍ | 5/21 [00:00<00:02, 6.46it/s] 29%|██▊ | 6/21 [00:00<00:02, 6.37it/s] 33%|███▎ | 7/21 [00:01<00:02, 6.37it/s] 38%|███▊ | 8/21 [00:01<00:02, 6.41it/s] 43%|████▎ | 9/21 [00:01<00:01, 6.43it/s] 48%|████▊ | 10/21 [00:01<00:01, 6.45it/s] 52%|█████▏ | 11/21 [00:01<00:01, 6.42it/s] 57%|█████▋ | 12/21 [00:01<00:01, 6.36it/s] 62%|██████▏ | 13/21 [00:02<00:01, 6.35it/s] 67%|██████▋ | 14/21 [00:02<00:01, 6.35it/s] 71%|███████▏ | 15/21 [00:02<00:00, 6.38it/s] 76%|███████▌ | 16/21 [00:02<00:00, 6.41it/s] 81%|████████ | 17/21 [00:02<00:00, 6.39it/s] 86%|████████▌ | 18/21 [00:02<00:00, 6.35it/s] 90%|█████████ | 19/21 [00:02<00:00, 6.33it/s] 95%|█████████▌| 20/21 [00:03<00:00, 6.35it/s] 100%|██████████| 21/21 [00:03<00:00, 6.38it/s] 100%|██████████| 21/21 [00:03<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.