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Girls Waiting with Cyber Realistic XL
cyber-realistic-xl:v1.0
evevalentine2017
evevalentine2017
·
Feb 21
354
Input
prompt
Specify things to see in the output
cinematic photo of slim 18yo black girl, waiting in a busy street, headphones, bag, bokeh, night streets, street lamps, people, shallow depth of field, highly detailed, bokeh
negative_prompt
Specify things to not see in the output
desaturated,(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D, 3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
1743718313
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++ SDE 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
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/fd19f8aec91849f0a26d732a9140913c/00000-1743718313.webp
https://files.tungsten.run/uploads/b6228abd88e8422590f4a5dcb1423b31/00001-1743718314.webp
https://files.tungsten.run/uploads/bb6b9f334bec449da14a3e7c53a2e1ca/00002-1743718315.webp
Finished in 193.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: cinematic photo of slim 18yo black girl, waiting in a busy street, headphones, bag, bokeh, night streets, street lamps, people, shallow depth of field, highly detailed, bokeh Full negative prompt: desaturated,(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D, 3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:25, 2.95s/it] 7%|▋ | 2/30 [00:07<01:41, 3.63s/it] 10%|█ | 3/30 [00:11<01:50, 4.08s/it] 13%|█▎ | 4/30 [00:15<01:46, 4.11s/it] 17%|█▋ | 5/30 [00:19<01:42, 4.11s/it] 20%|██ | 6/30 [00:23<01:37, 4.05s/it] 23%|██▎ | 7/30 [00:27<01:33, 4.06s/it] 27%|██▋ | 8/30 [00:32<01:29, 4.06s/it] 30%|███ | 9/30 [00:35<01:24, 4.02s/it] 33%|███▎ | 10/30 [00:40<01:21, 4.06s/it] 37%|███▋ | 11/30 [00:44<01:16, 4.01s/it] 40%|████ | 12/30 [00:48<01:12, 4.04s/it] 43%|████▎ | 13/30 [00:51<01:07, 3.99s/it] 47%|████▋ | 14/30 [00:55<00:59, 3.71s/it] 50%|█████ | 15/30 [00:58<00:56, 3.76s/it] 53%|█████▎ | 16/30 [01:02<00:52, 3.75s/it] 57%|█████▋ | 17/30 [01:06<00:47, 3.69s/it] 60%|██████ | 18/30 [01:09<00:44, 3.71s/it] 63%|██████▎ | 19/30 [01:13<00:40, 3.67s/it] 67%|██████▋ | 20/30 [01:17<00:37, 3.71s/it] 70%|███████ | 21/30 [01:20<00:31, 3.54s/it] 73%|███████▎ | 22/30 [01:23<00:27, 3.46s/it] 77%|███████▋ | 23/30 [01:27<00:24, 3.51s/it] 80%|████████ | 24/30 [01:30<00:21, 3.52s/it] 83%|████████▎ | 25/30 [01:33<00:16, 3.36s/it] 87%|████████▋ | 26/30 [01:37<00:13, 3.36s/it] 90%|█████████ | 27/30 [01:40<00:09, 3.21s/it] 93%|█████████▎| 28/30 [01:43<00:06, 3.12s/it] 97%|█████████▋| 29/30 [01:45<00:02, 2.89s/it] 100%|██████████| 30/30 [01:46<00:00, 2.30s/it] 100%|██████████| 30/30 [01:46<00:00, 3.54s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.03s 0: 640x480 1 face, 162.4ms Speed: 2.9ms preprocess, 162.4ms inference, 24.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:25, 1.97s/it] 14%|█▍ | 2/14 [00:04<00:25, 2.10s/it] 21%|██▏ | 3/14 [00:06<00:22, 2.00s/it] 29%|██▊ | 4/14 [00:07<00:19, 1.98s/it] 36%|███▌ | 5/14 [00:09<00:17, 1.90s/it] 43%|████▎ | 6/14 [00:11<00:14, 1.84s/it] 50%|█████ | 7/14 [00:13<00:13, 1.86s/it] 57%|█████▋ | 8/14 [00:15<00:11, 1.85s/it] 64%|██████▍ | 9/14 [00:16<00:09, 1.80s/it] 71%|███████▏ | 10/14 [00:18<00:07, 1.81s/it] 79%|███████▊ | 11/14 [00:20<00:05, 1.76s/it] 86%|████████▌ | 12/14 [00:22<00:03, 1.72s/it] 93%|█████████▎| 13/14 [00:23<00:01, 1.64s/it] 100%|██████████| 14/14 [00:24<00:00, 1.33s/it] 100%|██████████| 14/14 [00:24<00:00, 1.72s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.7ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:24, 1.87s/it] 14%|█▍ | 2/14 [00:03<00:22, 1.87s/it] 21%|██▏ | 3/14 [00:05<00:20, 1.87s/it] 29%|██▊ | 4/14 [00:07<00:18, 1.89s/it] 36%|███▌ | 5/14 [00:09<00:16, 1.82s/it] 43%|████▎ | 6/14 [00:10<00:14, 1.79s/it] 50%|█████ | 7/14 [00:12<00:12, 1.81s/it] 57%|█████▋ | 8/14 [00:14<00:10, 1.83s/it] 64%|██████▍ | 9/14 [00:16<00:08, 1.77s/it] 71%|███████▏ | 10/14 [00:18<00:07, 1.76s/it] 79%|███████▊ | 11/14 [00:19<00:05, 1.73s/it] 86%|████████▌ | 12/14 [00:21<00:03, 1.72s/it] 93%|█████████▎| 13/14 [00:22<00:01, 1.67s/it] 100%|██████████| 14/14 [00:23<00:00, 1.35s/it] 100%|██████████| 14/14 [00:23<00:00, 1.68s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.5ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:25, 1.96s/it] 14%|█▍ | 2/14 [00:03<00:23, 1.95s/it] 21%|██▏ | 3/14 [00:05<00:20, 1.90s/it] 29%|██▊ | 4/14 [00:08<00:20, 2.05s/it] 36%|███▌ | 5/14 [00:10<00:18, 2.05s/it] 43%|████▎ | 6/14 [00:11<00:15, 1.96s/it] 50%|█████ | 7/14 [00:13<00:13, 1.92s/it] 57%|█████▋ | 8/14 [00:15<00:11, 1.89s/it] 64%|██████▍ | 9/14 [00:17<00:08, 1.80s/it] 71%|███████▏ | 10/14 [00:18<00:07, 1.79s/it] 79%|███████▊ | 11/14 [00:20<00:05, 1.73s/it] 86%|████████▌ | 12/14 [00:22<00:03, 1.68s/it] 93%|█████████▎| 13/14 [00:23<00:01, 1.61s/it] 100%|██████████| 14/14 [00:24<00:00, 1.30s/it] 100%|██████████| 14/14 [00:24<00:00, 1.72s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
cinematic photo of slim 18yo black girl, waiting in a busy street, headphones, bag, bokeh, night streets, street lamps, people, shallow depth of field, highly detailed, bokeh
negative_prompt
Specify things to not see in the output
desaturated,(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D, 3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
1743718313
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++ SDE 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
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/fd19f8aec91849f0a26d732a9140913c/00000-1743718313.webp
https://files.tungsten.run/uploads/b6228abd88e8422590f4a5dcb1423b31/00001-1743718314.webp
https://files.tungsten.run/uploads/bb6b9f334bec449da14a3e7c53a2e1ca/00002-1743718315.webp
Finished in 193.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: cinematic photo of slim 18yo black girl, waiting in a busy street, headphones, bag, bokeh, night streets, street lamps, people, shallow depth of field, highly detailed, bokeh Full negative prompt: desaturated,(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D, 3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:25, 2.95s/it] 7%|▋ | 2/30 [00:07<01:41, 3.63s/it] 10%|█ | 3/30 [00:11<01:50, 4.08s/it] 13%|█▎ | 4/30 [00:15<01:46, 4.11s/it] 17%|█▋ | 5/30 [00:19<01:42, 4.11s/it] 20%|██ | 6/30 [00:23<01:37, 4.05s/it] 23%|██▎ | 7/30 [00:27<01:33, 4.06s/it] 27%|██▋ | 8/30 [00:32<01:29, 4.06s/it] 30%|███ | 9/30 [00:35<01:24, 4.02s/it] 33%|███▎ | 10/30 [00:40<01:21, 4.06s/it] 37%|███▋ | 11/30 [00:44<01:16, 4.01s/it] 40%|████ | 12/30 [00:48<01:12, 4.04s/it] 43%|████▎ | 13/30 [00:51<01:07, 3.99s/it] 47%|████▋ | 14/30 [00:55<00:59, 3.71s/it] 50%|█████ | 15/30 [00:58<00:56, 3.76s/it] 53%|█████▎ | 16/30 [01:02<00:52, 3.75s/it] 57%|█████▋ | 17/30 [01:06<00:47, 3.69s/it] 60%|██████ | 18/30 [01:09<00:44, 3.71s/it] 63%|██████▎ | 19/30 [01:13<00:40, 3.67s/it] 67%|██████▋ | 20/30 [01:17<00:37, 3.71s/it] 70%|███████ | 21/30 [01:20<00:31, 3.54s/it] 73%|███████▎ | 22/30 [01:23<00:27, 3.46s/it] 77%|███████▋ | 23/30 [01:27<00:24, 3.51s/it] 80%|████████ | 24/30 [01:30<00:21, 3.52s/it] 83%|████████▎ | 25/30 [01:33<00:16, 3.36s/it] 87%|████████▋ | 26/30 [01:37<00:13, 3.36s/it] 90%|█████████ | 27/30 [01:40<00:09, 3.21s/it] 93%|█████████▎| 28/30 [01:43<00:06, 3.12s/it] 97%|█████████▋| 29/30 [01:45<00:02, 2.89s/it] 100%|██████████| 30/30 [01:46<00:00, 2.30s/it] 100%|██████████| 30/30 [01:46<00:00, 3.54s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.03s 0: 640x480 1 face, 162.4ms Speed: 2.9ms preprocess, 162.4ms inference, 24.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:25, 1.97s/it] 14%|█▍ | 2/14 [00:04<00:25, 2.10s/it] 21%|██▏ | 3/14 [00:06<00:22, 2.00s/it] 29%|██▊ | 4/14 [00:07<00:19, 1.98s/it] 36%|███▌ | 5/14 [00:09<00:17, 1.90s/it] 43%|████▎ | 6/14 [00:11<00:14, 1.84s/it] 50%|█████ | 7/14 [00:13<00:13, 1.86s/it] 57%|█████▋ | 8/14 [00:15<00:11, 1.85s/it] 64%|██████▍ | 9/14 [00:16<00:09, 1.80s/it] 71%|███████▏ | 10/14 [00:18<00:07, 1.81s/it] 79%|███████▊ | 11/14 [00:20<00:05, 1.76s/it] 86%|████████▌ | 12/14 [00:22<00:03, 1.72s/it] 93%|█████████▎| 13/14 [00:23<00:01, 1.64s/it] 100%|██████████| 14/14 [00:24<00:00, 1.33s/it] 100%|██████████| 14/14 [00:24<00:00, 1.72s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.7ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:24, 1.87s/it] 14%|█▍ | 2/14 [00:03<00:22, 1.87s/it] 21%|██▏ | 3/14 [00:05<00:20, 1.87s/it] 29%|██▊ | 4/14 [00:07<00:18, 1.89s/it] 36%|███▌ | 5/14 [00:09<00:16, 1.82s/it] 43%|████▎ | 6/14 [00:10<00:14, 1.79s/it] 50%|█████ | 7/14 [00:12<00:12, 1.81s/it] 57%|█████▋ | 8/14 [00:14<00:10, 1.83s/it] 64%|██████▍ | 9/14 [00:16<00:08, 1.77s/it] 71%|███████▏ | 10/14 [00:18<00:07, 1.76s/it] 79%|███████▊ | 11/14 [00:19<00:05, 1.73s/it] 86%|████████▌ | 12/14 [00:21<00:03, 1.72s/it] 93%|█████████▎| 13/14 [00:22<00:01, 1.67s/it] 100%|██████████| 14/14 [00:23<00:00, 1.35s/it] 100%|██████████| 14/14 [00:23<00:00, 1.68s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.5ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:25, 1.96s/it] 14%|█▍ | 2/14 [00:03<00:23, 1.95s/it] 21%|██▏ | 3/14 [00:05<00:20, 1.90s/it] 29%|██▊ | 4/14 [00:08<00:20, 2.05s/it] 36%|███▌ | 5/14 [00:10<00:18, 2.05s/it] 43%|████▎ | 6/14 [00:11<00:15, 1.96s/it] 50%|█████ | 7/14 [00:13<00:13, 1.92s/it] 57%|█████▋ | 8/14 [00:15<00:11, 1.89s/it] 64%|██████▍ | 9/14 [00:17<00:08, 1.80s/it] 71%|███████▏ | 10/14 [00:18<00:07, 1.79s/it] 79%|███████▊ | 11/14 [00:20<00:05, 1.73s/it] 86%|████████▌ | 12/14 [00:22<00:03, 1.68s/it] 93%|█████████▎| 13/14 [00:23<00:01, 1.61s/it] 100%|██████████| 14/14 [00:24<00:00, 1.30s/it] 100%|██████████| 14/14 [00:24<00:00, 1.72s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.