Sci-fi City with BreakDomain
Input
prompt
Specify things to see in the output
best quality, 4K wallpaper, masterpiece, extremely detailed CG unity 8k wallpaper, extremely detailed eyes, ultra-detailed, intricate details, cyberpunk city, science fiction, futuristic object, <lora:duobackground:0.8>
negative_prompt
Specify things to not see in the output
((more than 2 arms:2)), ((more than 2 hands:2)), ((more than 2 legs:2)), ((more than 2 feet:2)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t
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.
1398081152
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
32
cfg_scale
Scale for classifier-free guidance
7.5
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>
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/3409efcdfe384c1c9798e2ff1fb1b621/00000-1398081152.webp
https://files.tungsten.run/uploads/7c10fcec92f344c5a88e3d6516fb9be6/00001-1398081153.webp
https://files.tungsten.run/uploads/091f608a491f4b27a1bb29346de8f29b/00002-1398081154.webp
https://files.tungsten.run/uploads/e5dc3c5c5b92405c942798b4d327c29a/00003-1398081155.webp
Finished in 33.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: best quality, 4K wallpaper, masterpiece, extremely detailed CG unity 8k wallpaper, extremely detailed eyes, ultra-detailed, intricate details, cyberpunk city, science fiction, futuristic object, <lora:duobackground:0.8> Full negative prompt: ((more than 2 arms:2)), ((more than 2 hands:2)), ((more than 2 legs:2)), ((more than 2 feet:2)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:01<00:36, 1.16s/it] 6%|▋ | 2/32 [00:01<00:26, 1.14it/s] 9%|▉ | 3/32 [00:02<00:22, 1.28it/s] 12%|█▎ | 4/32 [00:03<00:20, 1.34it/s] 16%|█▌ | 5/32 [00:03<00:19, 1.39it/s] 19%|█▉ | 6/32 [00:04<00:18, 1.42it/s] 22%|██▏ | 7/32 [00:05<00:17, 1.43it/s] 25%|██▌ | 8/32 [00:05<00:16, 1.44it/s] 28%|██▊ | 9/32 [00:06<00:15, 1.45it/s] 31%|███▏ | 10/32 [00:07<00:15, 1.46it/s] 34%|███▍ | 11/32 [00:07<00:14, 1.46it/s] 38%|███▊ | 12/32 [00:08<00:13, 1.46it/s] 41%|████ | 13/32 [00:09<00:13, 1.46it/s] 44%|████▍ | 14/32 [00:10<00:12, 1.46it/s] 47%|████▋ | 15/32 [00:10<00:11, 1.46it/s] 50%|█████ | 16/32 [00:11<00:10, 1.46it/s] 53%|█████▎ | 17/32 [00:12<00:10, 1.46it/s] 56%|█████▋ | 18/32 [00:12<00:09, 1.45it/s] 59%|█████▉ | 19/32 [00:13<00:08, 1.45it/s] 62%|██████▎ | 20/32 [00:14<00:08, 1.45it/s] 66%|██████▌ | 21/32 [00:14<00:07, 1.44it/s] 69%|██████▉ | 22/32 [00:15<00:06, 1.44it/s] 72%|███████▏ | 23/32 [00:16<00:06, 1.44it/s] 75%|███████▌ | 24/32 [00:16<00:05, 1.44it/s] 78%|███████▊ | 25/32 [00:17<00:04, 1.44it/s] 81%|████████▏ | 26/32 [00:18<00:04, 1.43it/s] 84%|████████▍ | 27/32 [00:19<00:03, 1.43it/s] 88%|████████▊ | 28/32 [00:19<00:02, 1.43it/s] 91%|█████████ | 29/32 [00:20<00:02, 1.43it/s] 94%|█████████▍| 30/32 [00:21<00:01, 1.44it/s] 97%|█████████▋| 31/32 [00:21<00:00, 1.44it/s] 100%|██████████| 32/32 [00:22<00:00, 1.44it/s] 100%|██████████| 32/32 [00:22<00:00, 1.42it/s] Decoding latents in cuda:0... done in 1.0s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 9.6ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
best quality, 4K wallpaper, masterpiece, extremely detailed CG unity 8k wallpaper, extremely detailed eyes, ultra-detailed, intricate details, cyberpunk city, science fiction, futuristic object, <lora:duobackground:0.8>
negative_prompt
Specify things to not see in the output
((more than 2 arms:2)), ((more than 2 hands:2)), ((more than 2 legs:2)), ((more than 2 feet:2)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t
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.
1398081152
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
32
cfg_scale
Scale for classifier-free guidance
7.5
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>
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/3409efcdfe384c1c9798e2ff1fb1b621/00000-1398081152.webp
https://files.tungsten.run/uploads/7c10fcec92f344c5a88e3d6516fb9be6/00001-1398081153.webp
https://files.tungsten.run/uploads/091f608a491f4b27a1bb29346de8f29b/00002-1398081154.webp
https://files.tungsten.run/uploads/e5dc3c5c5b92405c942798b4d327c29a/00003-1398081155.webp
Finished in 33.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: best quality, 4K wallpaper, masterpiece, extremely detailed CG unity 8k wallpaper, extremely detailed eyes, ultra-detailed, intricate details, cyberpunk city, science fiction, futuristic object, <lora:duobackground:0.8> Full negative prompt: ((more than 2 arms:2)), ((more than 2 hands:2)), ((more than 2 legs:2)), ((more than 2 feet:2)), ((watermark, signature, username, text)), (worst quality, low quality, normal quality), verybadimagenegative_v1.3, negative_hand-neg, ng_deepnegative_v1_75t 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:01<00:36, 1.16s/it] 6%|▋ | 2/32 [00:01<00:26, 1.14it/s] 9%|▉ | 3/32 [00:02<00:22, 1.28it/s] 12%|█▎ | 4/32 [00:03<00:20, 1.34it/s] 16%|█▌ | 5/32 [00:03<00:19, 1.39it/s] 19%|█▉ | 6/32 [00:04<00:18, 1.42it/s] 22%|██▏ | 7/32 [00:05<00:17, 1.43it/s] 25%|██▌ | 8/32 [00:05<00:16, 1.44it/s] 28%|██▊ | 9/32 [00:06<00:15, 1.45it/s] 31%|███▏ | 10/32 [00:07<00:15, 1.46it/s] 34%|███▍ | 11/32 [00:07<00:14, 1.46it/s] 38%|███▊ | 12/32 [00:08<00:13, 1.46it/s] 41%|████ | 13/32 [00:09<00:13, 1.46it/s] 44%|████▍ | 14/32 [00:10<00:12, 1.46it/s] 47%|████▋ | 15/32 [00:10<00:11, 1.46it/s] 50%|█████ | 16/32 [00:11<00:10, 1.46it/s] 53%|█████▎ | 17/32 [00:12<00:10, 1.46it/s] 56%|█████▋ | 18/32 [00:12<00:09, 1.45it/s] 59%|█████▉ | 19/32 [00:13<00:08, 1.45it/s] 62%|██████▎ | 20/32 [00:14<00:08, 1.45it/s] 66%|██████▌ | 21/32 [00:14<00:07, 1.44it/s] 69%|██████▉ | 22/32 [00:15<00:06, 1.44it/s] 72%|███████▏ | 23/32 [00:16<00:06, 1.44it/s] 75%|███████▌ | 24/32 [00:16<00:05, 1.44it/s] 78%|███████▊ | 25/32 [00:17<00:04, 1.44it/s] 81%|████████▏ | 26/32 [00:18<00:04, 1.43it/s] 84%|████████▍ | 27/32 [00:19<00:03, 1.43it/s] 88%|████████▊ | 28/32 [00:19<00:02, 1.43it/s] 91%|█████████ | 29/32 [00:20<00:02, 1.43it/s] 94%|█████████▍| 30/32 [00:21<00:01, 1.44it/s] 97%|█████████▋| 31/32 [00:21<00:00, 1.44it/s] 100%|██████████| 32/32 [00:22<00:00, 1.44it/s] 100%|██████████| 32/32 [00:22<00:00, 1.42it/s] Decoding latents in cuda:0... done in 1.0s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 9.6ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.