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Shopping in a Rainy Day with Realspice
realspice:v2.0
evevalentine2017
evevalentine2017
·
12/08/2023
362
Input
prompt
Specify things to see in the output
essence of wanderlust and fashion in a moody street portrait, candidly depict a stylish individual in a trench coat and fedora, embracing the rain-soaked city streets, <lora:add_detail:0.8>
negative_prompt
Specify things to not see in the output
realistic, photographic, figurative, concrete, (worst quality, low quality, normal quality:2)
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2260012869
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
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/77e3ac833714478bacbec0110519570b/00000-2260012869.png
https://files.tungsten.run/uploads/20e1996815294e9886cbd981d34d74d0/00001-2260012870.png
https://files.tungsten.run/uploads/dd7497b7a2c447fe8b96d42e11218904/00002-2260012871.png
https://files.tungsten.run/uploads/a2e717b4fca74dfa9c674cdc272adabd/00003-2260012872.png
Finished in 68.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: essence of wanderlust and fashion in a moody street portrait, candidly depict a stylish individual in a trench coat and fedora, embracing the rain-soaked city streets, (ultra detailed:1.5), (masterpiece:1.5), (award winning:1.5), (best quality:1.5), <lora:add_detail:0.1> Full negative prompt: realistic, photographic, figurative, concrete, (worst quality, low quality, normal quality:2) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:36, 1.26s/it] 7%|▋ | 2/30 [00:01<00:25, 1.11it/s] 10%|█ | 3/30 [00:02<00:21, 1.28it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.36it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.42it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.48it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.50it/s] 30%|███ | 9/30 [00:06<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:08<00:11, 1.52it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.52it/s] 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[00:00<00:02, 5.30it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.74it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.02it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.09it/s] 41%|████ | 7/17 [00:01<00:01, 6.13it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.21it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.31it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.38it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.43it/s] 71%|███████ | 12/17 [00:02<00:00, 6.45it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.42it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.40it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.42it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.45it/s] 100%|██████████| 17/17 [00:02<00:00, 6.37it/s] 100%|██████████| 17/17 [00:02<00:00, 6.07it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.63it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.58it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.58it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.57it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.56it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.46it/s] 41%|████ | 7/17 [00:01<00:01, 6.21it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.34it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.40it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.45it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.50it/s] 71%|███████ | 12/17 [00:01<00:00, 6.48it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.43it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.37it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.40it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.46it/s] 100%|██████████| 17/17 [00:02<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.57it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.56it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.58it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.58it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.48it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.39it/s] 41%|████ | 7/17 [00:01<00:01, 6.28it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.35it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.42it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.47it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.45it/s] 71%|███████ | 12/17 [00:01<00:00, 6.40it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.36it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.41it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.43it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.47it/s] 100%|██████████| 17/17 [00:02<00:00, 6.45it/s] 100%|██████████| 17/17 [00:02<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.00it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.74it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.59it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.58it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.59it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.49it/s] 41%|████ | 7/17 [00:01<00:01, 6.38it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.35it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.40it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.43it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.46it/s] 71%|███████ | 12/17 [00:01<00:00, 6.45it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.41it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.37it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.40it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.40it/s] 100%|██████████| 17/17 [00:02<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.70it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.61it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.38it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.45it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.38it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.32it/s] 41%|████ | 7/17 [00:01<00:01, 6.35it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.40it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.44it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.48it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.45it/s] 71%|███████ | 12/17 [00:01<00:00, 6.39it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.37it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.39it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.40it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.37it/s] 100%|██████████| 17/17 [00:02<00:00, 6.38it/s] 100%|██████████| 17/17 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.95it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.72it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.67it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.61it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.58it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.48it/s] 41%|████ | 7/17 [00:01<00:01, 6.38it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.33it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.39it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.43it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.48it/s] 71%|███████ | 12/17 [00:01<00:00, 6.46it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.39it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.36it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.36it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.41it/s] 100%|██████████| 17/17 [00:02<00:00, 6.45it/s] 100%|██████████| 17/17 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.74it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.65it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.60it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.57it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.43it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.37it/s] 41%|████ | 7/17 [00:01<00:01, 6.37it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.42it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.45it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.48it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.46it/s] 71%|███████ | 12/17 [00:01<00:00, 6.41it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.38it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.40it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.44it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.48it/s] 100%|██████████| 17/17 [00:02<00:00, 6.48it/s] 100%|██████████| 17/17 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.86it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.60it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.59it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.59it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.52it/s] 41%|████ | 7/17 [00:01<00:01, 6.41it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.39it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.43it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.44it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.48it/s] 71%|███████ | 12/17 [00:01<00:00, 6.48it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.43it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.37it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.39it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.41it/s] 100%|██████████| 17/17 [00:02<00:00, 6.45it/s] 100%|██████████| 17/17 [00:02<00:00, 6.47it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.51it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.52it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.54it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.57it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.47it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.38it/s] 41%|████ | 7/17 [00:01<00:01, 6.38it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.44it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.37it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.41it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.39it/s] 71%|███████ | 12/17 [00:01<00:00, 6.35it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.33it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.36it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.40it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 3 with 2nd settings. 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.99it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.75it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.67it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.65it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.63it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.56it/s] 41%|████ | 7/17 [00:01<00:01, 6.46it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.42it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.47it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.49it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.42it/s] 71%|███████ | 12/17 [00:01<00:00, 6.45it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.44it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.43it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.44it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.43it/s] 100%|██████████| 17/17 [00:02<00:00, 6.46it/s] 100%|██████████| 17/17 [00:02<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.75it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.65it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.40it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.33it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.33it/s] 41%|████ | 7/17 [00:01<00:01, 6.39it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.46it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.50it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.49it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.47it/s] 71%|███████ | 12/17 [00:01<00:00, 6.46it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.47it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.49it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.50it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.52it/s] 100%|██████████| 17/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.47it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.92it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.71it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.65it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.63it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.64it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.57it/s] 41%|████ | 7/17 [00:01<00:01, 6.49it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.43it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.47it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.50it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.51it/s] 71%|███████ | 12/17 [00:01<00:00, 6.50it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.47it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.44it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.44it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.48it/s] 100%|██████████| 17/17 [00:02<00:00, 6.50it/s] 100%|██████████| 17/17 [00:02<00:00, 6.52it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.10it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.40it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.49it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.53it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.45it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.42it/s] 41%|████ | 7/17 [00:01<00:01, 6.39it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.45it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.50it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.55it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.54it/s] 71%|███████ | 12/17 [00:01<00:00, 6.49it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.44it/s] 82%|████████▏ | 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prompt
Specify things to see in the output
essence of wanderlust and fashion in a moody street portrait, candidly depict a stylish individual in a trench coat and fedora, embracing the rain-soaked city streets, <lora:add_detail:0.8>
negative_prompt
Specify things to not see in the output
realistic, photographic, figurative, concrete, (worst quality, low quality, normal quality:2)
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2260012869
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
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/77e3ac833714478bacbec0110519570b/00000-2260012869.png
https://files.tungsten.run/uploads/20e1996815294e9886cbd981d34d74d0/00001-2260012870.png
https://files.tungsten.run/uploads/dd7497b7a2c447fe8b96d42e11218904/00002-2260012871.png
https://files.tungsten.run/uploads/a2e717b4fca74dfa9c674cdc272adabd/00003-2260012872.png
Finished in 68.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: essence of wanderlust and fashion in a moody street portrait, candidly depict a stylish individual in a trench coat and fedora, embracing the rain-soaked city streets, (ultra detailed:1.5), (masterpiece:1.5), (award winning:1.5), (best quality:1.5), <lora:add_detail:0.1> Full negative prompt: realistic, photographic, figurative, concrete, (worst quality, low quality, normal quality:2) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:36, 1.26s/it] 7%|▋ | 2/30 [00:01<00:25, 1.11it/s] 10%|█ | 3/30 [00:02<00:21, 1.28it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.36it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.42it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.48it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.50it/s] 30%|███ | 9/30 [00:06<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:08<00:11, 1.52it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.52it/s] 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[00:00<00:02, 5.30it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.74it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.02it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.09it/s] 41%|████ | 7/17 [00:01<00:01, 6.13it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.21it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.31it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.38it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.43it/s] 71%|███████ | 12/17 [00:02<00:00, 6.45it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.42it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.40it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.42it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.45it/s] 100%|██████████| 17/17 [00:02<00:00, 6.37it/s] 100%|██████████| 17/17 [00:02<00:00, 6.07it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.63it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.58it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.58it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.57it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.56it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.46it/s] 41%|████ | 7/17 [00:01<00:01, 6.21it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.34it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.40it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.45it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.50it/s] 71%|███████ | 12/17 [00:01<00:00, 6.48it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.43it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.37it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.40it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.46it/s] 100%|██████████| 17/17 [00:02<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.57it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.56it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.58it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.58it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.48it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.39it/s] 41%|████ | 7/17 [00:01<00:01, 6.28it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.35it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.42it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.47it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.45it/s] 71%|███████ | 12/17 [00:01<00:00, 6.40it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.36it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.41it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.43it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.47it/s] 100%|██████████| 17/17 [00:02<00:00, 6.45it/s] 100%|██████████| 17/17 [00:02<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.00it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.74it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.59it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.58it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.59it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.49it/s] 41%|████ | 7/17 [00:01<00:01, 6.38it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.35it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.40it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.43it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.46it/s] 71%|███████ | 12/17 [00:01<00:00, 6.45it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.41it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.37it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.40it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.40it/s] 100%|██████████| 17/17 [00:02<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.70it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.61it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.38it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.45it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.38it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.32it/s] 41%|████ | 7/17 [00:01<00:01, 6.35it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.40it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.44it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.48it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.45it/s] 71%|███████ | 12/17 [00:01<00:00, 6.39it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.37it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.39it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.40it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.37it/s] 100%|██████████| 17/17 [00:02<00:00, 6.38it/s] 100%|██████████| 17/17 [00:02<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.95it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.72it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.67it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.61it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.58it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.48it/s] 41%|████ | 7/17 [00:01<00:01, 6.38it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.33it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.39it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.43it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.48it/s] 71%|███████ | 12/17 [00:01<00:00, 6.46it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.39it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.36it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.36it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.41it/s] 100%|██████████| 17/17 [00:02<00:00, 6.45it/s] 100%|██████████| 17/17 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.74it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.65it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.60it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.57it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.43it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.37it/s] 41%|████ | 7/17 [00:01<00:01, 6.37it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.42it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.45it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.48it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.46it/s] 71%|███████ | 12/17 [00:01<00:00, 6.41it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.38it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.40it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.44it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.48it/s] 100%|██████████| 17/17 [00:02<00:00, 6.48it/s] 100%|██████████| 17/17 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.86it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.60it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.59it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.59it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.52it/s] 41%|████ | 7/17 [00:01<00:01, 6.41it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.39it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.43it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.44it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.48it/s] 71%|███████ | 12/17 [00:01<00:00, 6.48it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.43it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.37it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.39it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.41it/s] 100%|██████████| 17/17 [00:02<00:00, 6.45it/s] 100%|██████████| 17/17 [00:02<00:00, 6.47it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.51it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.52it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.54it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.57it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.47it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.38it/s] 41%|████ | 7/17 [00:01<00:01, 6.38it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.44it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.37it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.41it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.39it/s] 71%|███████ | 12/17 [00:01<00:00, 6.35it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.33it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.36it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.40it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 3 with 2nd settings. 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.99it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.75it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.67it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.65it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.63it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.56it/s] 41%|████ | 7/17 [00:01<00:01, 6.46it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.42it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.47it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.49it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.42it/s] 71%|███████ | 12/17 [00:01<00:00, 6.45it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.44it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.43it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.44it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.43it/s] 100%|██████████| 17/17 [00:02<00:00, 6.46it/s] 100%|██████████| 17/17 [00:02<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.75it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.67it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.65it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.40it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.33it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.33it/s] 41%|████ | 7/17 [00:01<00:01, 6.39it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.46it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.50it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.49it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.47it/s] 71%|███████ | 12/17 [00:01<00:00, 6.46it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.47it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.49it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.50it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.52it/s] 100%|██████████| 17/17 [00:02<00:00, 6.44it/s] 100%|██████████| 17/17 [00:02<00:00, 6.47it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.92it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.71it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.65it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.63it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.64it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.57it/s] 41%|████ | 7/17 [00:01<00:01, 6.49it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.43it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.47it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.50it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.51it/s] 71%|███████ | 12/17 [00:01<00:00, 6.50it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.47it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.44it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.44it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.48it/s] 100%|██████████| 17/17 [00:02<00:00, 6.50it/s] 100%|██████████| 17/17 [00:02<00:00, 6.52it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.10it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.40it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.49it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.53it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.45it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.42it/s] 41%|████ | 7/17 [00:01<00:01, 6.39it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.45it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.50it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.55it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.54it/s] 71%|███████ | 12/17 [00:01<00:00, 6.49it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.44it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.40it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.46it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.51it/s] 100%|██████████| 17/17 [00:02<00:00, 6.54it/s] 100%|██████████| 17/17 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.