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Distopic London with Mohawk XL
mohawk-xl:v2.0
evevalentine2017
evevalentine2017
·
Jan 31
360
Input
prompt
Specify things to see in the output
cinematic ground view of eschatological landscape of a actual London city, Tamise, harmonious, (bridges:0.4), (waterfalls:1.1), (ultra realistic:1.2), (cables), time tower, intricate engineerings, sinuous river, side, (vegetation:0.4), dark fantasy, night, terraces, , happy life,intricate and detailled sailing ship on departure at quay, plenty of small boats on the river, flags, confettis, holy days, festivities, massive crowds, victorian clothes, messy rail trains, train station, drapery on windows, (full of life:1.2), chimneys, smokes, high resolution, city, view from above, from the ledge, slums, hyper detailled view, intricate city, atmospheric lighting, dark mood, gigantism, ultra large wide angle, full view, great composition, rules of third, organic city , dramatic sky, storm in background,, shallow depth of field, vignette, high budget, bokeh, cinemascope, moody, epic, gorgeous, Every element is rendered in extreme quality, aiming for an ultra-HD 8K resolution level of detail. The cinematic and hyperrealistic style makes it feel like a freeze-frame from a high-budget dark fantasy film. The use of film grain adds a texture that gives the scene a gritty, realistic feel, ((vivid colors))
negative_prompt
Specify things to not see in the output
blurry, blurred, amateur, ugly, low quality, sketch, low resolution, warped, crooked, deformed, cartoony, low detail, long street, (rounded architecture:0.5), text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, yellow eyes, arnold signature
num_outputs
Number of output images
3
width
Output image width
2024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2091981800
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
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.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/fcb2d8a2d6e54e059da063ade34ba1d9/00000-2091981800.webp
https://files.tungsten.run/uploads/6e182c5656254c199247203df056ddbd/00001-2091981801.webp
https://files.tungsten.run/uploads/2bd9a99497b24851aff88a75e7dad440/00002-2091981802.webp
Finished in 179.3 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cinematic ground view of eschatological landscape of a actual London city, Tamise, harmonious, (bridges:0.4), (waterfalls:1.1), (ultra realistic:1.2), (cables), time tower, intricate engineerings, sinuous river, side, (vegetation:0.4), dark fantasy, night, terraces, , happy life,intricate and detailled sailing ship on departure at quay, plenty of small boats on the river, flags, confettis, holy days, festivities, massive crowds, victorian clothes, messy rail trains, train station, drapery on windows, (full of life:1.2), chimneys, smokes, high resolution, city, view from above, from the ledge, slums, hyper detailled view, intricate city, atmospheric lighting, dark mood, gigantism, ultra large wide angle, full view, great composition, rules of third, organic city , dramatic sky, storm in background,, shallow depth of field, vignette, high budget, bokeh, cinemascope, moody, epic, gorgeous, Every element is rendered in extreme quality, aiming for an ultra-HD 8K resolution level of detail. The cinematic and hyperrealistic style makes it feel like a freeze-frame from a high-budget dark fantasy film. The use of film grain adds a texture that gives the scene a gritty, realistic feel, ((vivid colors)) Full negative prompt: blurry, blurred, amateur, ugly, low quality, sketch, low resolution, warped, crooked, deformed, cartoony, low detail, long street, (rounded architecture:0.5), text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, yellow eyes, arnold signature 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:02<02:44, 2.79s/it] 3%|▎ | 2/60 [00:05<02:42, 2.80s/it] 5%|▌ | 3/60 [00:08<02:39, 2.80s/it] 7%|▋ | 4/60 [00:11<02:36, 2.80s/it] 8%|▊ | 5/60 [00:14<02:34, 2.80s/it] 10%|█ | 6/60 [00:16<02:32, 2.82s/it] 12%|█▏ | 7/60 [00:19<02:30, 2.84s/it] 13%|█▎ | 8/60 [00:22<02:28, 2.85s/it] 15%|█▌ | 9/60 [00:25<02:25, 2.86s/it] 17%|█▋ | 10/60 [00:28<02:22, 2.86s/it] 18%|█▊ | 11/60 [00:31<02:20, 2.86s/it] 20%|██ | 12/60 [00:34<02:17, 2.86s/it] 22%|██▏ | 13/60 [00:36<02:14, 2.86s/it] 23%|██▎ | 14/60 [00:39<02:11, 2.87s/it] 25%|██▌ | 15/60 [00:42<02:09, 2.87s/it] 27%|██▋ | 16/60 [00:45<02:06, 2.87s/it] 28%|██▊ | 17/60 [00:48<02:03, 2.88s/it] 30%|███ | 18/60 [00:51<02:00, 2.88s/it] 32%|███▏ | 19/60 [00:54<01:58, 2.88s/it] 33%|███▎ | 20/60 [00:57<01:55, 2.88s/it] 35%|███▌ | 21/60 [01:00<01:52, 2.88s/it] 37%|███▋ | 22/60 [01:02<01:49, 2.89s/it] 38%|███▊ | 23/60 [01:05<01:46, 2.89s/it] 40%|████ | 24/60 [01:08<01:44, 2.89s/it] 42%|████▏ | 25/60 [01:11<01:41, 2.89s/it] 43%|████▎ | 26/60 [01:14<01:38, 2.89s/it] 45%|████▌ | 27/60 [01:17<01:35, 2.89s/it] 47%|████▋ | 28/60 [01:20<01:32, 2.89s/it] 48%|████▊ | 29/60 [01:23<01:29, 2.89s/it] 50%|█████ | 30/60 [01:25<01:26, 2.88s/it] 52%|█████▏ | 31/60 [01:28<01:23, 2.88s/it] 53%|█████▎ | 32/60 [01:31<01:20, 2.88s/it] 55%|█████▌ | 33/60 [01:34<01:17, 2.88s/it] 57%|█████▋ | 34/60 [01:37<01:14, 2.88s/it] 58%|█████▊ | 35/60 [01:40<01:11, 2.88s/it] 60%|██████ | 36/60 [01:43<01:09, 2.88s/it] 62%|██████▏ | 37/60 [01:46<01:06, 2.88s/it] 63%|██████▎ | 38/60 [01:49<01:03, 2.88s/it] 65%|██████▌ | 39/60 [01:51<01:00, 2.88s/it] 67%|██████▋ | 40/60 [01:54<00:57, 2.88s/it] 68%|██████▊ | 41/60 [01:57<00:54, 2.87s/it] 70%|███████ | 42/60 [02:00<00:51, 2.87s/it] 72%|███████▏ | 43/60 [02:03<00:48, 2.87s/it] 73%|███████▎ | 44/60 [02:06<00:45, 2.87s/it] 75%|███████▌ | 45/60 [02:09<00:43, 2.87s/it] 77%|███████▋ | 46/60 [02:11<00:40, 2.88s/it] 78%|███████▊ | 47/60 [02:14<00:37, 2.87s/it] 80%|████████ | 48/60 [02:17<00:34, 2.88s/it] 82%|████████▏ | 49/60 [02:20<00:31, 2.88s/it] 83%|████████▎ | 50/60 [02:23<00:28, 2.88s/it] 85%|████████▌ | 51/60 [02:26<00:25, 2.88s/it] 87%|████████▋ | 52/60 [02:29<00:23, 2.88s/it] 88%|████████▊ | 53/60 [02:32<00:20, 2.88s/it] 90%|█████████ | 54/60 [02:35<00:17, 2.89s/it] 92%|█████████▏| 55/60 [02:37<00:14, 2.89s/it] 93%|█████████▎| 56/60 [02:40<00:11, 2.89s/it] 95%|█████████▌| 57/60 [02:43<00:08, 2.89s/it] 97%|█████████▋| 58/60 [02:46<00:05, 2.89s/it] 98%|█████████▊| 59/60 [02:49<00:02, 2.89s/it] 100%|██████████| 60/60 [02:52<00:00, 2.89s/it] 100%|██████████| 60/60 [02:52<00:00, 2.87s/it] Decoding latents in cuda:0... done in 5.21s Move latents to cpu... done in 0.06s Uploading outputs... Finished.
prompt
Specify things to see in the output
cinematic ground view of eschatological landscape of a actual London city, Tamise, harmonious, (bridges:0.4), (waterfalls:1.1), (ultra realistic:1.2), (cables), time tower, intricate engineerings, sinuous river, side, (vegetation:0.4), dark fantasy, night, terraces, , happy life,intricate and detailled sailing ship on departure at quay, plenty of small boats on the river, flags, confettis, holy days, festivities, massive crowds, victorian clothes, messy rail trains, train station, drapery on windows, (full of life:1.2), chimneys, smokes, high resolution, city, view from above, from the ledge, slums, hyper detailled view, intricate city, atmospheric lighting, dark mood, gigantism, ultra large wide angle, full view, great composition, rules of third, organic city , dramatic sky, storm in background,, shallow depth of field, vignette, high budget, bokeh, cinemascope, moody, epic, gorgeous, Every element is rendered in extreme quality, aiming for an ultra-HD 8K resolution level of detail. The cinematic and hyperrealistic style makes it feel like a freeze-frame from a high-budget dark fantasy film. The use of film grain adds a texture that gives the scene a gritty, realistic feel, ((vivid colors))
negative_prompt
Specify things to not see in the output
blurry, blurred, amateur, ugly, low quality, sketch, low resolution, warped, crooked, deformed, cartoony, low detail, long street, (rounded architecture:0.5), text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, yellow eyes, arnold signature
num_outputs
Number of output images
3
width
Output image width
2024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2091981800
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
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.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/fcb2d8a2d6e54e059da063ade34ba1d9/00000-2091981800.webp
https://files.tungsten.run/uploads/6e182c5656254c199247203df056ddbd/00001-2091981801.webp
https://files.tungsten.run/uploads/2bd9a99497b24851aff88a75e7dad440/00002-2091981802.webp
Finished in 179.3 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cinematic ground view of eschatological landscape of a actual London city, Tamise, harmonious, (bridges:0.4), (waterfalls:1.1), (ultra realistic:1.2), (cables), time tower, intricate engineerings, sinuous river, side, (vegetation:0.4), dark fantasy, night, terraces, , happy life,intricate and detailled sailing ship on departure at quay, plenty of small boats on the river, flags, confettis, holy days, festivities, massive crowds, victorian clothes, messy rail trains, train station, drapery on windows, (full of life:1.2), chimneys, smokes, high resolution, city, view from above, from the ledge, slums, hyper detailled view, intricate city, atmospheric lighting, dark mood, gigantism, ultra large wide angle, full view, great composition, rules of third, organic city , dramatic sky, storm in background,, shallow depth of field, vignette, high budget, bokeh, cinemascope, moody, epic, gorgeous, Every element is rendered in extreme quality, aiming for an ultra-HD 8K resolution level of detail. The cinematic and hyperrealistic style makes it feel like a freeze-frame from a high-budget dark fantasy film. The use of film grain adds a texture that gives the scene a gritty, realistic feel, ((vivid colors)) Full negative prompt: blurry, blurred, amateur, ugly, low quality, sketch, low resolution, warped, crooked, deformed, cartoony, low detail, long street, (rounded architecture:0.5), text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, yellow eyes, arnold signature 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:02<02:44, 2.79s/it] 3%|▎ | 2/60 [00:05<02:42, 2.80s/it] 5%|▌ | 3/60 [00:08<02:39, 2.80s/it] 7%|▋ | 4/60 [00:11<02:36, 2.80s/it] 8%|▊ | 5/60 [00:14<02:34, 2.80s/it] 10%|█ | 6/60 [00:16<02:32, 2.82s/it] 12%|█▏ | 7/60 [00:19<02:30, 2.84s/it] 13%|█▎ | 8/60 [00:22<02:28, 2.85s/it] 15%|█▌ | 9/60 [00:25<02:25, 2.86s/it] 17%|█▋ | 10/60 [00:28<02:22, 2.86s/it] 18%|█▊ | 11/60 [00:31<02:20, 2.86s/it] 20%|██ | 12/60 [00:34<02:17, 2.86s/it] 22%|██▏ | 13/60 [00:36<02:14, 2.86s/it] 23%|██▎ | 14/60 [00:39<02:11, 2.87s/it] 25%|██▌ | 15/60 [00:42<02:09, 2.87s/it] 27%|██▋ | 16/60 [00:45<02:06, 2.87s/it] 28%|██▊ | 17/60 [00:48<02:03, 2.88s/it] 30%|███ | 18/60 [00:51<02:00, 2.88s/it] 32%|███▏ | 19/60 [00:54<01:58, 2.88s/it] 33%|███▎ | 20/60 [00:57<01:55, 2.88s/it] 35%|███▌ | 21/60 [01:00<01:52, 2.88s/it] 37%|███▋ | 22/60 [01:02<01:49, 2.89s/it] 38%|███▊ | 23/60 [01:05<01:46, 2.89s/it] 40%|████ | 24/60 [01:08<01:44, 2.89s/it] 42%|████▏ | 25/60 [01:11<01:41, 2.89s/it] 43%|████▎ | 26/60 [01:14<01:38, 2.89s/it] 45%|████▌ | 27/60 [01:17<01:35, 2.89s/it] 47%|████▋ | 28/60 [01:20<01:32, 2.89s/it] 48%|████▊ | 29/60 [01:23<01:29, 2.89s/it] 50%|█████ | 30/60 [01:25<01:26, 2.88s/it] 52%|█████▏ | 31/60 [01:28<01:23, 2.88s/it] 53%|█████▎ | 32/60 [01:31<01:20, 2.88s/it] 55%|█████▌ | 33/60 [01:34<01:17, 2.88s/it] 57%|█████▋ | 34/60 [01:37<01:14, 2.88s/it] 58%|█████▊ | 35/60 [01:40<01:11, 2.88s/it] 60%|██████ | 36/60 [01:43<01:09, 2.88s/it] 62%|██████▏ | 37/60 [01:46<01:06, 2.88s/it] 63%|██████▎ | 38/60 [01:49<01:03, 2.88s/it] 65%|██████▌ | 39/60 [01:51<01:00, 2.88s/it] 67%|██████▋ | 40/60 [01:54<00:57, 2.88s/it] 68%|██████▊ | 41/60 [01:57<00:54, 2.87s/it] 70%|███████ | 42/60 [02:00<00:51, 2.87s/it] 72%|███████▏ | 43/60 [02:03<00:48, 2.87s/it] 73%|███████▎ | 44/60 [02:06<00:45, 2.87s/it] 75%|███████▌ | 45/60 [02:09<00:43, 2.87s/it] 77%|███████▋ | 46/60 [02:11<00:40, 2.88s/it] 78%|███████▊ | 47/60 [02:14<00:37, 2.87s/it] 80%|████████ | 48/60 [02:17<00:34, 2.88s/it] 82%|████████▏ | 49/60 [02:20<00:31, 2.88s/it] 83%|████████▎ | 50/60 [02:23<00:28, 2.88s/it] 85%|████████▌ | 51/60 [02:26<00:25, 2.88s/it] 87%|████████▋ | 52/60 [02:29<00:23, 2.88s/it] 88%|████████▊ | 53/60 [02:32<00:20, 2.88s/it] 90%|█████████ | 54/60 [02:35<00:17, 2.89s/it] 92%|█████████▏| 55/60 [02:37<00:14, 2.89s/it] 93%|█████████▎| 56/60 [02:40<00:11, 2.89s/it] 95%|█████████▌| 57/60 [02:43<00:08, 2.89s/it] 97%|█████████▋| 58/60 [02:46<00:05, 2.89s/it] 98%|█████████▊| 59/60 [02:49<00:02, 2.89s/it] 100%|██████████| 60/60 [02:52<00:00, 2.89s/it] 100%|██████████| 60/60 [02:52<00:00, 2.87s/it] Decoding latents in cuda:0... done in 5.21s Move latents to cpu... done in 0.06s Uploading outputs... Finished.