tungsten-logo
Sign In
cyber-realistic-xl
cyber-realistic-xl

cyber-realistic-xl

20 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/283ca1f579f24d1bb919529b522dfad7/00000-4175592394.webp
https://files.tungsten.run/uploads/defbabdcdcb0474eaefe9aa0ea34205f/00001-4175592395.webp
https://files.tungsten.run/uploads/de726d7e7b78416c9cd8ca23d01aeb26/00002-4175592396.webp
This example was created by evevalentine2017
Finished in 217.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (((photographic, photo, photorealistic))), extremely high quality and high detail, RAW color photo, a samurai meditating under the rain, closed eyes, serious expression, cinematic still, epic, forest background, grass, Tori gates Full negative prompt: desaturated, (extreme close up on face), (focus on face), (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%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:34, 2.78s/it] 6%|▌ | 2/35 [00:06<01:52, 3.42s/it] 9%|▊ | 3/35 [00:10<02:01, 3.78s/it] 11%|█▏ | 4/35 [00:14<02:01, 3.91s/it] 14%|█▍ | 5/35 [00:18<01:58, 3.94s/it] 17%|█▋ | 6/35 [00:23<01:56, 4.02s/it] 20%|██ | 7/35 [00:26<01:50, 3.95s/it] 23%|██▎ | 8/35 [00:30<01:46, 3.94s/it] 26%|██▌ | 9/35 [00:34<01:42, 3.93s/it] 29%|██▊ | 10/35 [00:38<01:38, 3.94s/it] 31%|███▏ | 11/35 [00:42<01:34, 3.93s/it] 34%|███▍ | 12/35 [00:46<01:29, 3.89s/it] 37%|███▋ | 13/35 [00:50<01:27, 3.97s/it] 40%|████ | 14/35 [00:53<01:17, 3.67s/it] 43%|████▎ | 15/35 [00:57<01:13, 3.68s/it] 46%|████▌ | 16/35 [01:01<01:10, 3.73s/it] 49%|████▊ | 17/35 [01:05<01:08, 3.80s/it] 51%|█████▏ | 18/35 [01:08<01:04, 3.81s/it] 54%|█████▍ | 19/35 [01:12<00:59, 3.72s/it] 57%|█████▋ | 20/35 [01:15<00:54, 3.64s/it] 60%|██████ | 21/35 [01:19<00:51, 3.68s/it] 63%|██████▎ | 22/35 [01:22<00:45, 3.52s/it] 66%|██████▌ | 23/35 [01:25<00:41, 3.43s/it] 69%|██████▊ | 24/35 [01:29<00:38, 3.50s/it] 71%|███████▏ | 25/35 [01:33<00:35, 3.56s/it] 74%|███████▍ | 26/35 [01:37<00:32, 3.61s/it] 77%|███████▋ | 27/35 [01:40<00:27, 3.49s/it] 80%|████████ | 28/35 [01:43<00:24, 3.50s/it] 83%|████████▎ | 29/35 [01:47<00:20, 3.50s/it] 86%|████████▌ | 30/35 [01:51<00:17, 3.56s/it] 89%|████████▊ | 31/35 [01:53<00:13, 3.37s/it] 91%|█████████▏| 32/35 [01:56<00:09, 3.22s/it] 94%|█████████▍| 33/35 [01:59<00:06, 3.02s/it] 97%|█████████▋| 34/35 [02:01<00:02, 2.85s/it] 100%|██████████| 35/35 [02:02<00:00, 2.28s/it] 100%|██████████| 35/35 [02:02<00:00, 3.51s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 163.0ms Speed: 3.2ms preprocess, 163.0ms inference, 26.9ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:02<00:31, 2.11s/it] 12%|█▎ | 2/16 [00:03<00:27, 1.95s/it] 19%|█▉ | 3/16 [00:05<00:23, 1.84s/it] 25%|██▌ | 4/16 [00:07<00:21, 1.77s/it] 31%|███▏ | 5/16 [00:09<00:19, 1.80s/it] 38%|███▊ | 6/16 [00:10<00:17, 1.80s/it] 44%|████▍ | 7/16 [00:12<00:16, 1.80s/it] 50%|█████ | 8/16 [00:14<00:14, 1.76s/it] 56%|█████▋ | 9/16 [00:16<00:12, 1.78s/it] 62%|██████▎ | 10/16 [00:18<00:11, 1.86s/it] 69%|██████▉ | 11/16 [00:20<00:09, 1.94s/it] 75%|███████▌ | 12/16 [00:21<00:07, 1.83s/it] 81%|████████▏ | 13/16 [00:23<00:05, 1.74s/it] 88%|████████▊ | 14/16 [00:25<00:03, 1.66s/it] 94%|█████████▍| 15/16 [00:26<00:01, 1.60s/it] 100%|██████████| 16/16 [00:27<00:00, 1.30s/it] 100%|██████████| 16/16 [00:27<00:00, 1.69s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.5ms Speed: 2.8ms preprocess, 8.5ms inference, 1.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:27, 1.82s/it] 12%|█▎ | 2/16 [00:03<00:26, 1.92s/it] 19%|█▉ | 3/16 [00:05<00:24, 1.89s/it] 25%|██▌ | 4/16 [00:07<00:21, 1.81s/it] 31%|███▏ | 5/16 [00:09<00:19, 1.82s/it] 38%|███▊ | 6/16 [00:10<00:18, 1.82s/it] 44%|████▍ | 7/16 [00:12<00:16, 1.85s/it] 50%|█████ | 8/16 [00:14<00:14, 1.82s/it] 56%|█████▋ | 9/16 [00:16<00:12, 1.81s/it] 62%|██████▎ | 10/16 [00:18<00:10, 1.79s/it] 69%|██████▉ | 11/16 [00:20<00:09, 1.83s/it] 75%|███████▌ | 12/16 [00:21<00:07, 1.77s/it] 81%|████████▏ | 13/16 [00:23<00:05, 1.70s/it] 88%|████████▊ | 14/16 [00:24<00:03, 1.62s/it] 94%|█████████▍| 15/16 [00:26<00:01, 1.56s/it] 100%|██████████| 16/16 [00:26<00:00, 1.27s/it] 100%|██████████| 16/16 [00:26<00:00, 1.67s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.2ms Speed: 2.4ms preprocess, 8.2ms inference, 1.6ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:27, 1.84s/it] 12%|█▎ | 2/16 [00:03<00:25, 1.85s/it] 19%|█▉ | 3/16 [00:05<00:22, 1.76s/it] 25%|██▌ | 4/16 [00:06<00:20, 1.71s/it] 31%|███▏ | 5/16 [00:08<00:19, 1.74s/it] 38%|███▊ | 6/16 [00:10<00:17, 1.77s/it] 44%|████▍ | 7/16 [00:12<00:16, 1.80s/it] 50%|█████ | 8/16 [00:14<00:14, 1.77s/it] 56%|█████▋ | 9/16 [00:15<00:12, 1.78s/it] 62%|██████▎ | 10/16 [00:17<00:10, 1.78s/it] 69%|██████▉ | 11/16 [00:19<00:09, 1.81s/it] 75%|███████▌ | 12/16 [00:21<00:06, 1.74s/it] 81%|████████▏ | 13/16 [00:22<00:05, 1.67s/it] 88%|████████▊ | 14/16 [00:24<00:03, 1.60s/it] 94%|█████████▍| 15/16 [00:25<00:01, 1.54s/it] 100%|██████████| 16/16 [00:26<00:00, 1.26s/it] 100%|██████████| 16/16 [00:26<00:00, 1.63s/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
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/283ca1f579f24d1bb919529b522dfad7/00000-4175592394.webp
https://files.tungsten.run/uploads/defbabdcdcb0474eaefe9aa0ea34205f/00001-4175592395.webp
https://files.tungsten.run/uploads/de726d7e7b78416c9cd8ca23d01aeb26/00002-4175592396.webp
This example was created by evevalentine2017
Finished in 217.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (((photographic, photo, photorealistic))), extremely high quality and high detail, RAW color photo, a samurai meditating under the rain, closed eyes, serious expression, cinematic still, epic, forest background, grass, Tori gates Full negative prompt: desaturated, (extreme close up on face), (focus on face), (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%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:34, 2.78s/it] 6%|▌ | 2/35 [00:06<01:52, 3.42s/it] 9%|▊ | 3/35 [00:10<02:01, 3.78s/it] 11%|█▏ | 4/35 [00:14<02:01, 3.91s/it] 14%|█▍ | 5/35 [00:18<01:58, 3.94s/it] 17%|█▋ | 6/35 [00:23<01:56, 4.02s/it] 20%|██ | 7/35 [00:26<01:50, 3.95s/it] 23%|██▎ | 8/35 [00:30<01:46, 3.94s/it] 26%|██▌ | 9/35 [00:34<01:42, 3.93s/it] 29%|██▊ | 10/35 [00:38<01:38, 3.94s/it] 31%|███▏ | 11/35 [00:42<01:34, 3.93s/it] 34%|███▍ | 12/35 [00:46<01:29, 3.89s/it] 37%|███▋ | 13/35 [00:50<01:27, 3.97s/it] 40%|████ | 14/35 [00:53<01:17, 3.67s/it] 43%|████▎ | 15/35 [00:57<01:13, 3.68s/it] 46%|████▌ | 16/35 [01:01<01:10, 3.73s/it] 49%|████▊ | 17/35 [01:05<01:08, 3.80s/it] 51%|█████▏ | 18/35 [01:08<01:04, 3.81s/it] 54%|█████▍ | 19/35 [01:12<00:59, 3.72s/it] 57%|█████▋ | 20/35 [01:15<00:54, 3.64s/it] 60%|██████ | 21/35 [01:19<00:51, 3.68s/it] 63%|██████▎ | 22/35 [01:22<00:45, 3.52s/it] 66%|██████▌ | 23/35 [01:25<00:41, 3.43s/it] 69%|██████▊ | 24/35 [01:29<00:38, 3.50s/it] 71%|███████▏ | 25/35 [01:33<00:35, 3.56s/it] 74%|███████▍ | 26/35 [01:37<00:32, 3.61s/it] 77%|███████▋ | 27/35 [01:40<00:27, 3.49s/it] 80%|████████ | 28/35 [01:43<00:24, 3.50s/it] 83%|████████▎ | 29/35 [01:47<00:20, 3.50s/it] 86%|████████▌ | 30/35 [01:51<00:17, 3.56s/it] 89%|████████▊ | 31/35 [01:53<00:13, 3.37s/it] 91%|█████████▏| 32/35 [01:56<00:09, 3.22s/it] 94%|█████████▍| 33/35 [01:59<00:06, 3.02s/it] 97%|█████████▋| 34/35 [02:01<00:02, 2.85s/it] 100%|██████████| 35/35 [02:02<00:00, 2.28s/it] 100%|██████████| 35/35 [02:02<00:00, 3.51s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 163.0ms Speed: 3.2ms preprocess, 163.0ms inference, 26.9ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:02<00:31, 2.11s/it] 12%|█▎ | 2/16 [00:03<00:27, 1.95s/it] 19%|█▉ | 3/16 [00:05<00:23, 1.84s/it] 25%|██▌ | 4/16 [00:07<00:21, 1.77s/it] 31%|███▏ | 5/16 [00:09<00:19, 1.80s/it] 38%|███▊ | 6/16 [00:10<00:17, 1.80s/it] 44%|████▍ | 7/16 [00:12<00:16, 1.80s/it] 50%|█████ | 8/16 [00:14<00:14, 1.76s/it] 56%|█████▋ | 9/16 [00:16<00:12, 1.78s/it] 62%|██████▎ | 10/16 [00:18<00:11, 1.86s/it] 69%|██████▉ | 11/16 [00:20<00:09, 1.94s/it] 75%|███████▌ | 12/16 [00:21<00:07, 1.83s/it] 81%|████████▏ | 13/16 [00:23<00:05, 1.74s/it] 88%|████████▊ | 14/16 [00:25<00:03, 1.66s/it] 94%|█████████▍| 15/16 [00:26<00:01, 1.60s/it] 100%|██████████| 16/16 [00:27<00:00, 1.30s/it] 100%|██████████| 16/16 [00:27<00:00, 1.69s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.5ms Speed: 2.8ms preprocess, 8.5ms inference, 1.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:27, 1.82s/it] 12%|█▎ | 2/16 [00:03<00:26, 1.92s/it] 19%|█▉ | 3/16 [00:05<00:24, 1.89s/it] 25%|██▌ | 4/16 [00:07<00:21, 1.81s/it] 31%|███▏ | 5/16 [00:09<00:19, 1.82s/it] 38%|███▊ | 6/16 [00:10<00:18, 1.82s/it] 44%|████▍ | 7/16 [00:12<00:16, 1.85s/it] 50%|█████ | 8/16 [00:14<00:14, 1.82s/it] 56%|█████▋ | 9/16 [00:16<00:12, 1.81s/it] 62%|██████▎ | 10/16 [00:18<00:10, 1.79s/it] 69%|██████▉ | 11/16 [00:20<00:09, 1.83s/it] 75%|███████▌ | 12/16 [00:21<00:07, 1.77s/it] 81%|████████▏ | 13/16 [00:23<00:05, 1.70s/it] 88%|████████▊ | 14/16 [00:24<00:03, 1.62s/it] 94%|█████████▍| 15/16 [00:26<00:01, 1.56s/it] 100%|██████████| 16/16 [00:26<00:00, 1.27s/it] 100%|██████████| 16/16 [00:26<00:00, 1.67s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.2ms Speed: 2.4ms preprocess, 8.2ms inference, 1.6ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:27, 1.84s/it] 12%|█▎ | 2/16 [00:03<00:25, 1.85s/it] 19%|█▉ | 3/16 [00:05<00:22, 1.76s/it] 25%|██▌ | 4/16 [00:06<00:20, 1.71s/it] 31%|███▏ | 5/16 [00:08<00:19, 1.74s/it] 38%|███▊ | 6/16 [00:10<00:17, 1.77s/it] 44%|████▍ | 7/16 [00:12<00:16, 1.80s/it] 50%|█████ | 8/16 [00:14<00:14, 1.77s/it] 56%|█████▋ | 9/16 [00:15<00:12, 1.78s/it] 62%|██████▎ | 10/16 [00:17<00:10, 1.78s/it] 69%|██████▉ | 11/16 [00:19<00:09, 1.81s/it] 75%|███████▌ | 12/16 [00:21<00:06, 1.74s/it] 81%|████████▏ | 13/16 [00:22<00:05, 1.67s/it] 88%|████████▊ | 14/16 [00:24<00:03, 1.60s/it] 94%|█████████▍| 15/16 [00:25<00:01, 1.54s/it] 100%|██████████| 16/16 [00:26<00:00, 1.26s/it] 100%|██████████| 16/16 [00:26<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.