Steampunk Airplane with Cyber Realistic XL
Input
prompt
Specify things to see in the output
photographic, photo, photorealistic, extremely high quality and high detail, RAW color photo of 1 flying Steampunk fighter airplane, gears, clockwork, steam pipes, cloudy, sunset, by lee jeffries, nikon d850, film stock photograph, 4 kodak portra 400, camera f1.6 lens, rich colors, hyper realistic, lifelike texture, dramatic lighting, cinestill 800,
negative_prompt
Specify things to not see in the output
ground, people, humans, kimono, woman, desaturated, (worst quality, low quality, normal quality, lowres, low details, grayscale, bw), blur, blurry
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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.
3539110848
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
35
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/30fc84b5d1644f7587aeaab197750f31/00000-3539110848.webp
https://files.tungsten.run/uploads/a550c9ad3a2d45af968eee13fca653e7/00001-3539110849.webp
https://files.tungsten.run/uploads/d77e8c0340ec4a4d9045ed82a75699f9/00002-3539110850.webp
Finished in 130.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: photographic, photo, photorealistic, extremely high quality and high detail, RAW color photo of 1 flying Steampunk fighter airplane, gears, clockwork, steam pipes, cloudy, sunset, by lee jeffries, nikon d850, film stock photograph, 4 kodak portra 400, camera f1.6 lens, rich colors, hyper realistic, lifelike texture, dramatic lighting, cinestill 800, Full negative prompt: ground, people, humans, kimono, woman, desaturated, (worst quality, low quality, normal quality, lowres, low details, grayscale, bw), blur, blurry 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:31, 2.69s/it] 6%|▌ | 2/35 [00:07<02:02, 3.72s/it] 9%|▊ | 3/35 [00:11<02:06, 3.94s/it] 11%|█▏ | 4/35 [00:15<02:03, 4.00s/it] 14%|█▍ | 5/35 [00:19<02:00, 4.01s/it] 17%|█▋ | 6/35 [00:23<01:58, 4.08s/it] 20%|██ | 7/35 [00:27<01:51, 3.99s/it] 23%|██▎ | 8/35 [00:31<01:46, 3.93s/it] 26%|██▌ | 9/35 [00:35<01:41, 3.91s/it] 29%|██▊ | 10/35 [00:39<01:38, 3.92s/it] 31%|███▏ | 11/35 [00:42<01:33, 3.90s/it] 34%|███▍ | 12/35 [00:46<01:29, 3.87s/it] 37%|███▋ | 13/35 [00:50<01:27, 3.96s/it] 40%|████ | 14/35 [00:53<01:16, 3.66s/it] 43%|████▎ | 15/35 [00:57<01:12, 3.61s/it] 46%|████▌ | 16/35 [01:01<01:09, 3.65s/it] 49%|████▊ | 17/35 [01:05<01:07, 3.73s/it] 51%|█████▏ | 18/35 [01:08<01:03, 3.74s/it] 54%|█████▍ | 19/35 [01:12<00:58, 3.66s/it] 57%|█████▋ | 20/35 [01:15<00:53, 3.59s/it] 60%|██████ | 21/35 [01:19<00:50, 3.60s/it] 63%|██████▎ | 22/35 [01:22<00:44, 3.40s/it] 66%|██████▌ | 23/35 [01:25<00:39, 3.30s/it] 69%|██████▊ | 24/35 [01:28<00:36, 3.33s/it] 71%|███████▏ | 25/35 [01:32<00:33, 3.39s/it] 74%|███████▍ | 26/35 [01:35<00:31, 3.46s/it] 77%|███████▋ | 27/35 [01:38<00:26, 3.35s/it] 80%|████████ | 28/35 [01:42<00:23, 3.36s/it] 83%|████████▎ | 29/35 [01:45<00:20, 3.35s/it] 86%|████████▌ | 30/35 [01:49<00:17, 3.41s/it] 89%|████████▊ | 31/35 [01:52<00:12, 3.22s/it] 91%|█████████▏| 32/35 [01:54<00:09, 3.07s/it] 94%|█████████▍| 33/35 [01:57<00:05, 2.87s/it] 97%|█████████▋| 34/35 [01:59<00:02, 2.70s/it] 100%|██████████| 35/35 [02:00<00:00, 2.16s/it] 100%|██████████| 35/35 [02:00<00:00, 3.44s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 480x640 (no detections), 162.2ms Speed: 2.8ms preprocess, 162.2ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 7.8ms Speed: 2.3ms preprocess, 7.8ms 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), 9.8ms Speed: 2.4ms preprocess, 9.8ms inference, 0.9ms 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
photographic, photo, photorealistic, extremely high quality and high detail, RAW color photo of 1 flying Steampunk fighter airplane, gears, clockwork, steam pipes, cloudy, sunset, by lee jeffries, nikon d850, film stock photograph, 4 kodak portra 400, camera f1.6 lens, rich colors, hyper realistic, lifelike texture, dramatic lighting, cinestill 800,
negative_prompt
Specify things to not see in the output
ground, people, humans, kimono, woman, desaturated, (worst quality, low quality, normal quality, lowres, low details, grayscale, bw), blur, blurry
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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.
3539110848
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
35
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/30fc84b5d1644f7587aeaab197750f31/00000-3539110848.webp
https://files.tungsten.run/uploads/a550c9ad3a2d45af968eee13fca653e7/00001-3539110849.webp
https://files.tungsten.run/uploads/d77e8c0340ec4a4d9045ed82a75699f9/00002-3539110850.webp
Finished in 130.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: photographic, photo, photorealistic, extremely high quality and high detail, RAW color photo of 1 flying Steampunk fighter airplane, gears, clockwork, steam pipes, cloudy, sunset, by lee jeffries, nikon d850, film stock photograph, 4 kodak portra 400, camera f1.6 lens, rich colors, hyper realistic, lifelike texture, dramatic lighting, cinestill 800, Full negative prompt: ground, people, humans, kimono, woman, desaturated, (worst quality, low quality, normal quality, lowres, low details, grayscale, bw), blur, blurry 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:31, 2.69s/it] 6%|▌ | 2/35 [00:07<02:02, 3.72s/it] 9%|▊ | 3/35 [00:11<02:06, 3.94s/it] 11%|█▏ | 4/35 [00:15<02:03, 4.00s/it] 14%|█▍ | 5/35 [00:19<02:00, 4.01s/it] 17%|█▋ | 6/35 [00:23<01:58, 4.08s/it] 20%|██ | 7/35 [00:27<01:51, 3.99s/it] 23%|██▎ | 8/35 [00:31<01:46, 3.93s/it] 26%|██▌ | 9/35 [00:35<01:41, 3.91s/it] 29%|██▊ | 10/35 [00:39<01:38, 3.92s/it] 31%|███▏ | 11/35 [00:42<01:33, 3.90s/it] 34%|███▍ | 12/35 [00:46<01:29, 3.87s/it] 37%|███▋ | 13/35 [00:50<01:27, 3.96s/it] 40%|████ | 14/35 [00:53<01:16, 3.66s/it] 43%|████▎ | 15/35 [00:57<01:12, 3.61s/it] 46%|████▌ | 16/35 [01:01<01:09, 3.65s/it] 49%|████▊ | 17/35 [01:05<01:07, 3.73s/it] 51%|█████▏ | 18/35 [01:08<01:03, 3.74s/it] 54%|█████▍ | 19/35 [01:12<00:58, 3.66s/it] 57%|█████▋ | 20/35 [01:15<00:53, 3.59s/it] 60%|██████ | 21/35 [01:19<00:50, 3.60s/it] 63%|██████▎ | 22/35 [01:22<00:44, 3.40s/it] 66%|██████▌ | 23/35 [01:25<00:39, 3.30s/it] 69%|██████▊ | 24/35 [01:28<00:36, 3.33s/it] 71%|███████▏ | 25/35 [01:32<00:33, 3.39s/it] 74%|███████▍ | 26/35 [01:35<00:31, 3.46s/it] 77%|███████▋ | 27/35 [01:38<00:26, 3.35s/it] 80%|████████ | 28/35 [01:42<00:23, 3.36s/it] 83%|████████▎ | 29/35 [01:45<00:20, 3.35s/it] 86%|████████▌ | 30/35 [01:49<00:17, 3.41s/it] 89%|████████▊ | 31/35 [01:52<00:12, 3.22s/it] 91%|█████████▏| 32/35 [01:54<00:09, 3.07s/it] 94%|█████████▍| 33/35 [01:57<00:05, 2.87s/it] 97%|█████████▋| 34/35 [01:59<00:02, 2.70s/it] 100%|██████████| 35/35 [02:00<00:00, 2.16s/it] 100%|██████████| 35/35 [02:00<00:00, 3.44s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 480x640 (no detections), 162.2ms Speed: 2.8ms preprocess, 162.2ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 7.8ms Speed: 2.3ms preprocess, 7.8ms 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), 9.8ms Speed: 2.4ms preprocess, 9.8ms inference, 0.9ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.