the dirtiest corridor in the world
Input
prompt
Specify things to see in the output
the dirtiest corridor in the world, puke, vomit, blood, graffitti, broken glasses, broken lights, dark, garbages, bugs, rats, cockroaches, fungus
negative_prompt
Specify things to not see in the output
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
2
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.
-1
width
Output image width
512
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
Restart
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/d3978d94c83043f1adff35864483e952/00000-2455605785.png
https://files.tungsten.run/uploads/5d3d9f04f8fb46caa1075abc6aae0e0f/00001-2455605786.png
https://files.tungsten.run/uploads/4853aeca463343499790199e0a0836ae/00002-2455605787.png
https://files.tungsten.run/uploads/bf4209a328754fdcada4fd6996aec410/00003-2455605788.png
Finished in 29.1 seconds
Setting up the model... Processing... Using seed 2455605785 Full prompt: the dirtiest corridor in the world, puke, vomit, blood, graffitti, broken glasses, broken lights, dark, garbages, bugs, rats, cockroaches, fungus, <lora:add_detail:2.0> Full negative prompt: BadDream, UnrealisticDream, bad-hands-5 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:27, 1.42s/it] 10%|█ | 2/20 [00:02<00:19, 1.06s/it] 15%|█▌ | 3/20 [00:03<00:15, 1.07it/s] 20%|██ | 4/20 [00:03<00:14, 1.14it/s] 25%|██▌ | 5/20 [00:04<00:12, 1.18it/s] 30%|███ | 6/20 [00:05<00:11, 1.20it/s] 35%|███▌ | 7/20 [00:06<00:10, 1.22it/s] 40%|████ | 8/20 [00:06<00:09, 1.23it/s] 45%|████▌ | 9/20 [00:07<00:08, 1.24it/s] 50%|█████ | 10/20 [00:08<00:08, 1.24it/s] 55%|█████▌ | 11/20 [00:09<00:07, 1.24it/s] 60%|██████ | 12/20 [00:10<00:06, 1.24it/s] 65%|██████▌ | 13/20 [00:11<00:05, 1.24it/s] 70%|███████ | 14/20 [00:11<00:04, 1.25it/s] 75%|███████▌ | 15/20 [00:12<00:04, 1.25it/s] 80%|████████ | 16/20 [00:13<00:03, 1.25it/s] 85%|████████▌ | 17/20 [00:14<00:02, 1.25it/s] 90%|█████████ | 18/20 [00:15<00:01, 1.25it/s] 95%|█████████▌| 19/20 [00:15<00:00, 1.25it/s] 100%|██████████| 20/20 [00:16<00:00, 1.47it/s] 100%|██████████| 20/20 [00:16<00:00, 1.23it/s] Decoding latents in cuda:0... done in 0.63s Move latents to cpu... done in 0.01s 0: 640x448 (no detections), 195.3ms Speed: 9.5ms preprocess, 195.3ms inference, 14.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x448 (no detections), 105.0ms Speed: 2.3ms preprocess, 105.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x448 (no detections), 8.0ms Speed: 2.0ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x448 (no detections), 8.0ms Speed: 2.0ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x448 (no detections), 8.1ms Speed: 2.1ms preprocess, 8.1ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x448 (no detections), 8.8ms Speed: 2.0ms preprocess, 8.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x448 (no detections), 9.2ms Speed: 2.0ms preprocess, 9.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x448 (no detections), 8.0ms Speed: 2.2ms preprocess, 8.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt
Specify things to see in the output
the dirtiest corridor in the world, puke, vomit, blood, graffitti, broken glasses, broken lights, dark, garbages, bugs, rats, cockroaches, fungus
negative_prompt
Specify things to not see in the output
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
2
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.
-1
width
Output image width
512
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
Restart
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/d3978d94c83043f1adff35864483e952/00000-2455605785.png
https://files.tungsten.run/uploads/5d3d9f04f8fb46caa1075abc6aae0e0f/00001-2455605786.png
https://files.tungsten.run/uploads/4853aeca463343499790199e0a0836ae/00002-2455605787.png
https://files.tungsten.run/uploads/bf4209a328754fdcada4fd6996aec410/00003-2455605788.png
Finished in 29.1 seconds
Setting up the model... Processing... Using seed 2455605785 Full prompt: the dirtiest corridor in the world, puke, vomit, blood, graffitti, broken glasses, broken lights, dark, garbages, bugs, rats, cockroaches, fungus, <lora:add_detail:2.0> Full negative prompt: BadDream, UnrealisticDream, bad-hands-5 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:27, 1.42s/it] 10%|█ | 2/20 [00:02<00:19, 1.06s/it] 15%|█▌ | 3/20 [00:03<00:15, 1.07it/s] 20%|██ | 4/20 [00:03<00:14, 1.14it/s] 25%|██▌ | 5/20 [00:04<00:12, 1.18it/s] 30%|███ | 6/20 [00:05<00:11, 1.20it/s] 35%|███▌ | 7/20 [00:06<00:10, 1.22it/s] 40%|████ | 8/20 [00:06<00:09, 1.23it/s] 45%|████▌ | 9/20 [00:07<00:08, 1.24it/s] 50%|█████ | 10/20 [00:08<00:08, 1.24it/s] 55%|█████▌ | 11/20 [00:09<00:07, 1.24it/s] 60%|██████ | 12/20 [00:10<00:06, 1.24it/s] 65%|██████▌ | 13/20 [00:11<00:05, 1.24it/s] 70%|███████ | 14/20 [00:11<00:04, 1.25it/s] 75%|███████▌ | 15/20 [00:12<00:04, 1.25it/s] 80%|████████ | 16/20 [00:13<00:03, 1.25it/s] 85%|████████▌ | 17/20 [00:14<00:02, 1.25it/s] 90%|█████████ | 18/20 [00:15<00:01, 1.25it/s] 95%|█████████▌| 19/20 [00:15<00:00, 1.25it/s] 100%|██████████| 20/20 [00:16<00:00, 1.47it/s] 100%|██████████| 20/20 [00:16<00:00, 1.23it/s] Decoding latents in cuda:0... done in 0.63s Move latents to cpu... done in 0.01s 0: 640x448 (no detections), 195.3ms Speed: 9.5ms preprocess, 195.3ms inference, 14.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x448 (no detections), 105.0ms Speed: 2.3ms preprocess, 105.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x448 (no detections), 8.0ms Speed: 2.0ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x448 (no detections), 8.0ms Speed: 2.0ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x448 (no detections), 8.1ms Speed: 2.1ms preprocess, 8.1ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x448 (no detections), 8.8ms Speed: 2.0ms preprocess, 8.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x448 (no detections), 9.2ms Speed: 2.0ms preprocess, 9.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x448 (no detections), 8.0ms Speed: 2.2ms preprocess, 8.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.