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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.
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Output
https://files.tungsten.run/uploads/3cbc4c92d0a3408ba3671edc5da74fdf/00000-4175592394.webp
https://files.tungsten.run/uploads/834320ad638e4482aeaf4b6c18529db1/00001-4175592395.webp
https://files.tungsten.run/uploads/6b01ccfd8387409a90b0dff097ee1240/00002-4175592396.webp
This example was created by evevalentine2017
Finished in 130.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (((photographic, photo, photorealistic))), extremely high quality and high detail, RAW color photo, a black ford pickup truck getting gas at a texaco gas station 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<01:30, 2.66s/it] 6%|▌ | 2/35 [00:06<01:48, 3.28s/it] 9%|▊ | 3/35 [00:10<01:58, 3.70s/it] 11%|█▏ | 4/35 [00:14<01:58, 3.83s/it] 14%|█▍ | 5/35 [00:18<01:56, 3.87s/it] 17%|█▋ | 6/35 [00:22<01:54, 3.94s/it] 20%|██ | 7/35 [00:26<01:52, 4.00s/it] 23%|██▎ | 8/35 [00:30<01:48, 4.02s/it] 26%|██▌ | 9/35 [00:34<01:42, 3.96s/it] 29%|██▊ | 10/35 [00:38<01:38, 3.95s/it] 31%|███▏ | 11/35 [00:42<01:33, 3.91s/it] 34%|███▍ | 12/35 [00:46<01:29, 3.88s/it] 37%|███▋ | 13/35 [00:50<01:27, 3.96s/it] 40%|████ | 14/35 [00:53<01:17, 3.67s/it] 43%|████▎ | 15/35 [00:56<01:12, 3.60s/it] 46%|████▌ | 16/35 [01:00<01:08, 3.63s/it] 49%|████▊ | 17/35 [01:04<01:06, 3.70s/it] 51%|█████▏ | 18/35 [01:08<01:03, 3.73s/it] 54%|█████▍ | 19/35 [01:11<00:58, 3.66s/it] 57%|█████▋ | 20/35 [01:15<00:53, 3.59s/it] 60%|██████ | 21/35 [01:18<00:50, 3.61s/it] 63%|██████▎ | 22/35 [01:21<00:44, 3.40s/it] 66%|██████▌ | 23/35 [01:24<00:39, 3.29s/it] 69%|██████▊ | 24/35 [01:28<00:36, 3.35s/it] 71%|███████▏ | 25/35 [01:31<00:34, 3.43s/it] 74%|███████▍ | 26/35 [01:35<00:31, 3.49s/it] 77%|███████▋ | 27/35 [01:38<00:27, 3.38s/it] 80%|████████ | 28/35 [01:41<00:23, 3.40s/it] 83%|████████▎ | 29/35 [01:45<00:20, 3.37s/it] 86%|████████▌ | 30/35 [01:48<00:17, 3.44s/it] 89%|████████▊ | 31/35 [01:51<00:12, 3.24s/it] 91%|█████████▏| 32/35 [01:54<00:09, 3.10s/it] 94%|█████████▍| 33/35 [01:56<00:05, 2.89s/it] 97%|█████████▋| 34/35 [01:59<00:02, 2.70s/it] 100%|██████████| 35/35 [01:59<00:00, 2.16s/it] 100%|██████████| 35/35 [01:59<00:00, 3.43s/it] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.02s 0: 480x640 (no detections), 160.8ms Speed: 3.1ms preprocess, 160.8ms inference, 0.9ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 7.8ms Speed: 2.2ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 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/3cbc4c92d0a3408ba3671edc5da74fdf/00000-4175592394.webp
https://files.tungsten.run/uploads/834320ad638e4482aeaf4b6c18529db1/00001-4175592395.webp
https://files.tungsten.run/uploads/6b01ccfd8387409a90b0dff097ee1240/00002-4175592396.webp
This example was created by evevalentine2017
Finished in 130.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (((photographic, photo, photorealistic))), extremely high quality and high detail, RAW color photo, a black ford pickup truck getting gas at a texaco gas station 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<01:30, 2.66s/it] 6%|▌ | 2/35 [00:06<01:48, 3.28s/it] 9%|▊ | 3/35 [00:10<01:58, 3.70s/it] 11%|█▏ | 4/35 [00:14<01:58, 3.83s/it] 14%|█▍ | 5/35 [00:18<01:56, 3.87s/it] 17%|█▋ | 6/35 [00:22<01:54, 3.94s/it] 20%|██ | 7/35 [00:26<01:52, 4.00s/it] 23%|██▎ | 8/35 [00:30<01:48, 4.02s/it] 26%|██▌ | 9/35 [00:34<01:42, 3.96s/it] 29%|██▊ | 10/35 [00:38<01:38, 3.95s/it] 31%|███▏ | 11/35 [00:42<01:33, 3.91s/it] 34%|███▍ | 12/35 [00:46<01:29, 3.88s/it] 37%|███▋ | 13/35 [00:50<01:27, 3.96s/it] 40%|████ | 14/35 [00:53<01:17, 3.67s/it] 43%|████▎ | 15/35 [00:56<01:12, 3.60s/it] 46%|████▌ | 16/35 [01:00<01:08, 3.63s/it] 49%|████▊ | 17/35 [01:04<01:06, 3.70s/it] 51%|█████▏ | 18/35 [01:08<01:03, 3.73s/it] 54%|█████▍ | 19/35 [01:11<00:58, 3.66s/it] 57%|█████▋ | 20/35 [01:15<00:53, 3.59s/it] 60%|██████ | 21/35 [01:18<00:50, 3.61s/it] 63%|██████▎ | 22/35 [01:21<00:44, 3.40s/it] 66%|██████▌ | 23/35 [01:24<00:39, 3.29s/it] 69%|██████▊ | 24/35 [01:28<00:36, 3.35s/it] 71%|███████▏ | 25/35 [01:31<00:34, 3.43s/it] 74%|███████▍ | 26/35 [01:35<00:31, 3.49s/it] 77%|███████▋ | 27/35 [01:38<00:27, 3.38s/it] 80%|████████ | 28/35 [01:41<00:23, 3.40s/it] 83%|████████▎ | 29/35 [01:45<00:20, 3.37s/it] 86%|████████▌ | 30/35 [01:48<00:17, 3.44s/it] 89%|████████▊ | 31/35 [01:51<00:12, 3.24s/it] 91%|█████████▏| 32/35 [01:54<00:09, 3.10s/it] 94%|█████████▍| 33/35 [01:56<00:05, 2.89s/it] 97%|█████████▋| 34/35 [01:59<00:02, 2.70s/it] 100%|██████████| 35/35 [01:59<00:00, 2.16s/it] 100%|██████████| 35/35 [01:59<00:00, 3.43s/it] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.02s 0: 480x640 (no detections), 160.8ms Speed: 3.1ms preprocess, 160.8ms inference, 0.9ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 7.8ms Speed: 2.2ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.