Sci-fi Cities with Cybersushi
Input
prompt
Specify things to see in the output
(masterpiece:1.3), (best quality:1.2), chiaroscuro, Unreal Engine, CGI render, Hyperdetailed, vivid colors, modern era photograph, ultra high quality model, 8k Ultra HD, perfect composition, beautiful detailed intricate insanely detailed octane render, soft natural volumetric cinematic perfect light, perfect depth of field shot, ray tracing, photometry, beautiful, metallic deep colors, subsurface scattering, ultra realistic, (photorealism:1.1), 8 k artistic photography, hyperdetailed, absurdly detailed, scenery, city, buildings, idealized American city, busy city center, parks and greenery areas, parks, plazas, modern era photograph, skyscrapers, sumerian, monumental architecture, cuneiform, nisroch, (uploaded and trending on imgur, pixiv, furaffinity, pinterest, e621, inkbunny, tumblr, deviantart, artstation), (in the style of and art by midjourney, greg rutkowski, raphael, Frank Lloyd Wright, James Gurney, Thomas Kinkade, ), <lora:SumerianArchitecture-10:0.85> <lora:xsarchitectural-21Futuretechnologycity:0.8> bird 's-eye view, fantastic atmosphere, river, fantastic sense of light, future high-tech buildings, a spaceship in the air, science fiction, high-tech, dense city, laser, super high-rise building, bright, 4k, high resolution, hyper quality, high detail, full details, ultra wide shot, architectural visualisationquixel megascans render, octane render, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
helmet, nipples, bad proportions, bad drawing face, low quality, medium quality, bad drawn hands, low emotions, low face expression, negative_hand-neg, realisticvision-negative-embedding, BadNegAnatomyV1-neg
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.
1549882917
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
30
cfg_scale
Scale for classifier-free guidance
8
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>
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/e4ee7510a873418ebbfeaa47d3550efd/00000-1549882917.webp
https://files.tungsten.run/uploads/9bf5c98470ab4ab0b7721a1434603c01/00001-1549882918.webp
https://files.tungsten.run/uploads/fbcba0d3359b40c490da7d586b5dafb5/00002-1549882919.webp
https://files.tungsten.run/uploads/297e12154c8e477b8ae4569a290ae21b/00003-1549882920.webp
Finished in 32.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (masterpiece:1.3), (best quality:1.2), chiaroscuro, Unreal Engine, CGI render, Hyperdetailed, vivid colors, modern era photograph, ultra high quality model, 8k Ultra HD, perfect composition, beautiful detailed intricate insanely detailed octane render, soft natural volumetric cinematic perfect light, perfect depth of field shot, ray tracing, photometry, beautiful, metallic deep colors, subsurface scattering, ultra realistic, (photorealism:1.1), 8 k artistic photography, hyperdetailed, absurdly detailed, scenery, city, buildings, idealized American city, busy city center, parks and greenery areas, parks, plazas, modern era photograph, skyscrapers, sumerian, monumental architecture, cuneiform, nisroch, (uploaded and trending on imgur, pixiv, furaffinity, pinterest, e621, inkbunny, tumblr, deviantart, artstation), (in the style of and art by midjourney, greg rutkowski, raphael, Frank Lloyd Wright, James Gurney, Thomas Kinkade, ), <lora:SumerianArchitecture-10:0.85> <lora:xsarchitectural-21Futuretechnologycity:0.8> bird 's-eye view, fantastic atmosphere, river, fantastic sense of light, future high-tech buildings, a spaceship in the air, science fiction, high-tech, dense city, laser, super high-rise building, bright, 4k, high resolution, hyper quality, high detail, full details, ultra wide shot, architectural visualisationquixel megascans render, octane render, <lora:more_details:0.7> Full negative prompt: helmet, nipples, bad proportions, bad drawing face, low quality, medium quality, bad drawn hands, low emotions, low face expression, negative_hand-neg, realisticvision-negative-embedding, BadNegAnatomyV1-neg 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:37, 1.30s/it] 7%|▋ | 2/30 [00:01<00:25, 1.09it/s] 10%|█ | 3/30 [00:02<00:21, 1.26it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.35it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.42it/s] 20%|██ | 6/30 [00:04<00:16, 1.45it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.47it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.49it/s] 30%|███ | 9/30 [00:06<00:13, 1.50it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.51it/s] 40%|████ | 12/30 [00:08<00:11, 1.51it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.51it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:10<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.51it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:12<00:07, 1.51it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:14<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.51it/s] 80%|████████ | 24/30 [00:16<00:03, 1.51it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.51it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.50it/s] 90%|█████████ | 27/30 [00:18<00:01, 1.51it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.50it/s] 100%|██████████| 30/30 [00:20<00:00, 1.50it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/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, 9.5ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms 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, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms 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: 2.9ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms 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
(masterpiece:1.3), (best quality:1.2), chiaroscuro, Unreal Engine, CGI render, Hyperdetailed, vivid colors, modern era photograph, ultra high quality model, 8k Ultra HD, perfect composition, beautiful detailed intricate insanely detailed octane render, soft natural volumetric cinematic perfect light, perfect depth of field shot, ray tracing, photometry, beautiful, metallic deep colors, subsurface scattering, ultra realistic, (photorealism:1.1), 8 k artistic photography, hyperdetailed, absurdly detailed, scenery, city, buildings, idealized American city, busy city center, parks and greenery areas, parks, plazas, modern era photograph, skyscrapers, sumerian, monumental architecture, cuneiform, nisroch, (uploaded and trending on imgur, pixiv, furaffinity, pinterest, e621, inkbunny, tumblr, deviantart, artstation), (in the style of and art by midjourney, greg rutkowski, raphael, Frank Lloyd Wright, James Gurney, Thomas Kinkade, ), <lora:SumerianArchitecture-10:0.85> <lora:xsarchitectural-21Futuretechnologycity:0.8> bird 's-eye view, fantastic atmosphere, river, fantastic sense of light, future high-tech buildings, a spaceship in the air, science fiction, high-tech, dense city, laser, super high-rise building, bright, 4k, high resolution, hyper quality, high detail, full details, ultra wide shot, architectural visualisationquixel megascans render, octane render, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
helmet, nipples, bad proportions, bad drawing face, low quality, medium quality, bad drawn hands, low emotions, low face expression, negative_hand-neg, realisticvision-negative-embedding, BadNegAnatomyV1-neg
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.
1549882917
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
30
cfg_scale
Scale for classifier-free guidance
8
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>
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/e4ee7510a873418ebbfeaa47d3550efd/00000-1549882917.webp
https://files.tungsten.run/uploads/9bf5c98470ab4ab0b7721a1434603c01/00001-1549882918.webp
https://files.tungsten.run/uploads/fbcba0d3359b40c490da7d586b5dafb5/00002-1549882919.webp
https://files.tungsten.run/uploads/297e12154c8e477b8ae4569a290ae21b/00003-1549882920.webp
Finished in 32.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (masterpiece:1.3), (best quality:1.2), chiaroscuro, Unreal Engine, CGI render, Hyperdetailed, vivid colors, modern era photograph, ultra high quality model, 8k Ultra HD, perfect composition, beautiful detailed intricate insanely detailed octane render, soft natural volumetric cinematic perfect light, perfect depth of field shot, ray tracing, photometry, beautiful, metallic deep colors, subsurface scattering, ultra realistic, (photorealism:1.1), 8 k artistic photography, hyperdetailed, absurdly detailed, scenery, city, buildings, idealized American city, busy city center, parks and greenery areas, parks, plazas, modern era photograph, skyscrapers, sumerian, monumental architecture, cuneiform, nisroch, (uploaded and trending on imgur, pixiv, furaffinity, pinterest, e621, inkbunny, tumblr, deviantart, artstation), (in the style of and art by midjourney, greg rutkowski, raphael, Frank Lloyd Wright, James Gurney, Thomas Kinkade, ), <lora:SumerianArchitecture-10:0.85> <lora:xsarchitectural-21Futuretechnologycity:0.8> bird 's-eye view, fantastic atmosphere, river, fantastic sense of light, future high-tech buildings, a spaceship in the air, science fiction, high-tech, dense city, laser, super high-rise building, bright, 4k, high resolution, hyper quality, high detail, full details, ultra wide shot, architectural visualisationquixel megascans render, octane render, <lora:more_details:0.7> Full negative prompt: helmet, nipples, bad proportions, bad drawing face, low quality, medium quality, bad drawn hands, low emotions, low face expression, negative_hand-neg, realisticvision-negative-embedding, BadNegAnatomyV1-neg 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:37, 1.30s/it] 7%|▋ | 2/30 [00:01<00:25, 1.09it/s] 10%|█ | 3/30 [00:02<00:21, 1.26it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.35it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.42it/s] 20%|██ | 6/30 [00:04<00:16, 1.45it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.47it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.49it/s] 30%|███ | 9/30 [00:06<00:13, 1.50it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.51it/s] 40%|████ | 12/30 [00:08<00:11, 1.51it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.51it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:10<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.51it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:12<00:07, 1.51it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:14<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.51it/s] 80%|████████ | 24/30 [00:16<00:03, 1.51it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.51it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.50it/s] 90%|█████████ | 27/30 [00:18<00:01, 1.51it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.50it/s] 100%|██████████| 30/30 [00:20<00:00, 1.50it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/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, 9.5ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms 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, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms 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: 2.9ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.