Black Car with Absolute Reality
Input
prompt
Specify things to see in the output
photo of a supercar, 8k uhd, high quality, road, sunset, motion blur, depth blur, cinematic, filmic image 4k, 8k with [George Miller's Mad Max style]. The image should be [ultra-realistic], with [high-resolution] captured in [natural light]. The lighting should create [soft shadows] and showcase the [raw] and [vibrant colors], volumetric dtx, depth blur, blurry background, bokeh, (motion blur:1.001), <lora:add_detail:0.8>, <lora:more_details:0.8>
negative_prompt
Specify things to not see in the output
BadDream, (UnrealisticDream:1.3), girl, man, person, persons, human, humans
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.3
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3743294426
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
 
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 SDE 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/d969f56ab53d490abcf0447d0d359f80/00000-3743294426.png
https://files.tungsten.run/uploads/060e00fc2c374bb2b311c95888ae91c6/00001-3743294427.png
https://files.tungsten.run/uploads/00a20679b02645df81b90bd9141d8348/00002-3743294428.png
https://files.tungsten.run/uploads/961d06cc24074980aa198563ef07f80a/00003-3743294429.png
Finished in 69.2 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: photo of a supercar, 8k uhd, high quality, road, sunset, motion blur, depth blur, cinematic, filmic image 4k, 8k with [George Miller's Mad Max style]. The image should be [ultra-realistic], with [high-resolution] captured in [natural light]. The lighting should create [soft shadows] and showcase the [raw] and [vibrant colors], volumetric dtx, depth blur, blurry background, bokeh, (motion blur:1.001), <lora:more_details:0.8>, (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), (ultra detailed:1.5), <lora:add_detail:0.3> Full negative prompt: BadDream, (UnrealisticDream:1.3), girl, man, person, persons, human, humans 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:51, 1.79s/it] 7%|▋ | 2/30 [00:03<00:50, 1.81s/it] 10%|█ | 3/30 [00:05<00:47, 1.75s/it] 13%|█▎ | 4/30 [00:07<00:45, 1.76s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.79s/it] 20%|██ | 6/30 [00:10<00:43, 1.80s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.76s/it] 27%|██▋ | 8/30 [00:14<00:38, 1.75s/it] 30%|███ | 9/30 [00:15<00:37, 1.77s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.77s/it] 37%|███▋ | 11/30 [00:19<00:33, 1.76s/it] 40%|████ | 12/30 [00:21<00:31, 1.74s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.74s/it] 47%|████▋ | 14/30 [00:24<00:26, 1.66s/it] 50%|█████ | 15/30 [00:25<00:24, 1.63s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.59s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.58s/it] 60%|██████ | 18/30 [00:30<00:19, 1.60s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.59s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.62s/it] 70%|███████ | 21/30 [00:35<00:14, 1.61s/it] 73%|███████▎ | 22/30 [00:37<00:13, 1.63s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.55s/it] 80%|████████ | 24/30 [00:39<00:09, 1.50s/it] 83%|████████▎ | 25/30 [00:41<00:07, 1.52s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.53s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.53s/it] 97%|█████████▋| 29/30 [00:46<00:01, 1.34s/it] 100%|██████████| 30/30 [00:47<00:00, 1.13s/it] 100%|██████████| 30/30 [00:47<00:00, 1.59s/it] Decoding latents in cuda:0... done in 1.0s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 3.5ms preprocess, 7.5ms inference, 23.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.66it/s] 12%|█▏ | 2/17 [00:01<00:07, 1.99it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.15it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.10it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.14it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.17it/s] 41%|████ | 7/17 [00:03<00:04, 2.15it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.17it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.17it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.27it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.35it/s] 71%|███████ | 12/17 [00:05<00:02, 2.35it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.29it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.33it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.62it/s] 100%|██████████| 17/17 [00:07<00:00, 3.05it/s] 100%|██████████| 17/17 [00:07<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 9.8ms Speed: 2.8ms preprocess, 9.8ms 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), 7.0ms Speed: 2.6ms preprocess, 7.0ms 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), 7.6ms Speed: 2.7ms preprocess, 7.6ms 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: 2.8ms 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), 7.4ms Speed: 2.7ms preprocess, 7.4ms 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), 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt
Specify things to see in the output
photo of a supercar, 8k uhd, high quality, road, sunset, motion blur, depth blur, cinematic, filmic image 4k, 8k with [George Miller's Mad Max style]. The image should be [ultra-realistic], with [high-resolution] captured in [natural light]. The lighting should create [soft shadows] and showcase the [raw] and [vibrant colors], volumetric dtx, depth blur, blurry background, bokeh, (motion blur:1.001), <lora:add_detail:0.8>, <lora:more_details:0.8>
negative_prompt
Specify things to not see in the output
BadDream, (UnrealisticDream:1.3), girl, man, person, persons, human, humans
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.3
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3743294426
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
 
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 SDE 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/d969f56ab53d490abcf0447d0d359f80/00000-3743294426.png
https://files.tungsten.run/uploads/060e00fc2c374bb2b311c95888ae91c6/00001-3743294427.png
https://files.tungsten.run/uploads/00a20679b02645df81b90bd9141d8348/00002-3743294428.png
https://files.tungsten.run/uploads/961d06cc24074980aa198563ef07f80a/00003-3743294429.png
Finished in 69.2 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: photo of a supercar, 8k uhd, high quality, road, sunset, motion blur, depth blur, cinematic, filmic image 4k, 8k with [George Miller's Mad Max style]. The image should be [ultra-realistic], with [high-resolution] captured in [natural light]. The lighting should create [soft shadows] and showcase the [raw] and [vibrant colors], volumetric dtx, depth blur, blurry background, bokeh, (motion blur:1.001), <lora:more_details:0.8>, (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), (ultra detailed:1.5), <lora:add_detail:0.3> Full negative prompt: BadDream, (UnrealisticDream:1.3), girl, man, person, persons, human, humans 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:51, 1.79s/it] 7%|▋ | 2/30 [00:03<00:50, 1.81s/it] 10%|█ | 3/30 [00:05<00:47, 1.75s/it] 13%|█▎ | 4/30 [00:07<00:45, 1.76s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.79s/it] 20%|██ | 6/30 [00:10<00:43, 1.80s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.76s/it] 27%|██▋ | 8/30 [00:14<00:38, 1.75s/it] 30%|███ | 9/30 [00:15<00:37, 1.77s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.77s/it] 37%|███▋ | 11/30 [00:19<00:33, 1.76s/it] 40%|████ | 12/30 [00:21<00:31, 1.74s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.74s/it] 47%|████▋ | 14/30 [00:24<00:26, 1.66s/it] 50%|█████ | 15/30 [00:25<00:24, 1.63s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.59s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.58s/it] 60%|██████ | 18/30 [00:30<00:19, 1.60s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.59s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.62s/it] 70%|███████ | 21/30 [00:35<00:14, 1.61s/it] 73%|███████▎ | 22/30 [00:37<00:13, 1.63s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.55s/it] 80%|████████ | 24/30 [00:39<00:09, 1.50s/it] 83%|████████▎ | 25/30 [00:41<00:07, 1.52s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.53s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.53s/it] 97%|█████████▋| 29/30 [00:46<00:01, 1.34s/it] 100%|██████████| 30/30 [00:47<00:00, 1.13s/it] 100%|██████████| 30/30 [00:47<00:00, 1.59s/it] Decoding latents in cuda:0... done in 1.0s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 3.5ms preprocess, 7.5ms inference, 23.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.66it/s] 12%|█▏ | 2/17 [00:01<00:07, 1.99it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.15it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.10it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.14it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.17it/s] 41%|████ | 7/17 [00:03<00:04, 2.15it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.17it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.17it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.27it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.35it/s] 71%|███████ | 12/17 [00:05<00:02, 2.35it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.29it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.31it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.33it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.62it/s] 100%|██████████| 17/17 [00:07<00:00, 3.05it/s] 100%|██████████| 17/17 [00:07<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 9.8ms Speed: 2.8ms preprocess, 9.8ms 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), 7.0ms Speed: 2.6ms preprocess, 7.0ms 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), 7.6ms Speed: 2.7ms preprocess, 7.6ms 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: 2.8ms 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), 7.4ms Speed: 2.7ms preprocess, 7.4ms 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), 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.