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Juggernaut Men with Juggernaut Turbo XL
juggernaut-turbo-xl:lightning
evevalentine2017
evevalentine2017
·
Feb 25
365
Input
prompt
Specify things to see in the output
photograph, full body photo of muscular bearded guy in a worn mech suit, ((light bokeh)), intricate, (steel metal [rust]), elegant, sharp focus, photo by greg rutkowski, soft lighting, vibrant colors, skin pores, (masterpiece), ((skin imperfections)), (detailed face:1.2), (glowing blue eyes:1.1), stunning details, 8k, raw photo, 8k uhd, film grain, unreal engine 5, ray tracing, dynamic, Nikon d850, Depth of field 270mm, Amaro, Golden ratio
negative_prompt
Specify things to not see in the output
((helmet)), CGI, Unreal, Airbrushed, Digital, dark, oversaturated,
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
0.5
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
651144717
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
samping_steps
Number of denoising steps
5
cfg_scale
Scale for classifier-free guidance
2
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/4b0412a6be624a47b4921791f8b1c319/00000-651144717.webp
https://files.tungsten.run/uploads/555bda02708343b1adc2368577b67d8c/00001-651144718.webp
https://files.tungsten.run/uploads/a42f57935fcc4cee85cfed531c9ab6f2/00002-651144719.webp
Finished in 48.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: photograph, full body photo of muscular bearded guy in a worn mech suit, ((light bokeh)), intricate, (steel metal [rust]), elegant, sharp focus, photo by greg rutkowski, soft lighting, vibrant colors, skin pores, (masterpiece), ((skin imperfections)), (detailed face:1.2), (glowing blue eyes:1.1), stunning details, 8k, raw photo, 8k uhd, film grain, unreal engine 5, ray tracing, dynamic, Nikon d850, Depth of field 270mm, Amaro, Golden ratio, <lora:TLS:0.5> Full negative prompt: ((helmet)), CGI, Unreal, Airbrushed, Digital, dark, oversaturated, 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:04<00:17, 4.38s/it] 40%|████ | 2/5 [00:08<00:12, 4.10s/it] 60%|██████ | 3/5 [00:12<00:07, 3.94s/it] 80%|████████ | 4/5 [00:14<00:03, 3.47s/it] 100%|██████████| 5/5 [00:15<00:00, 2.54s/it] 100%|██████████| 5/5 [00:15<00:00, 3.14s/it] Decoding latents in cuda:0... done in 1.77s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 170.6ms Speed: 2.7ms preprocess, 170.6ms inference, 22.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:02<00:04, 2.16s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.87s/it] 100%|██████████| 3/3 [00:04<00:00, 1.31s/it] 100%|██████████| 3/3 [00:04<00:00, 1.49s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.5ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:02<00:04, 2.48s/it] 67%|██████▋ | 2/3 [00:05<00:02, 2.60s/it] 100%|██████████| 3/3 [00:06<00:00, 1.95s/it] 100%|██████████| 3/3 [00:06<00:00, 2.11s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 17.6ms Speed: 3.6ms preprocess, 17.6ms inference, 3.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:02<00:04, 2.07s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.81s/it] 100%|██████████| 3/3 [00:04<00:00, 1.27s/it] 100%|██████████| 3/3 [00:04<00:00, 1.44s/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
photograph, full body photo of muscular bearded guy in a worn mech suit, ((light bokeh)), intricate, (steel metal [rust]), elegant, sharp focus, photo by greg rutkowski, soft lighting, vibrant colors, skin pores, (masterpiece), ((skin imperfections)), (detailed face:1.2), (glowing blue eyes:1.1), stunning details, 8k, raw photo, 8k uhd, film grain, unreal engine 5, ray tracing, dynamic, Nikon d850, Depth of field 270mm, Amaro, Golden ratio
negative_prompt
Specify things to not see in the output
((helmet)), CGI, Unreal, Airbrushed, Digital, dark, oversaturated,
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
0.5
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
651144717
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
samping_steps
Number of denoising steps
5
cfg_scale
Scale for classifier-free guidance
2
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/4b0412a6be624a47b4921791f8b1c319/00000-651144717.webp
https://files.tungsten.run/uploads/555bda02708343b1adc2368577b67d8c/00001-651144718.webp
https://files.tungsten.run/uploads/a42f57935fcc4cee85cfed531c9ab6f2/00002-651144719.webp
Finished in 48.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: photograph, full body photo of muscular bearded guy in a worn mech suit, ((light bokeh)), intricate, (steel metal [rust]), elegant, sharp focus, photo by greg rutkowski, soft lighting, vibrant colors, skin pores, (masterpiece), ((skin imperfections)), (detailed face:1.2), (glowing blue eyes:1.1), stunning details, 8k, raw photo, 8k uhd, film grain, unreal engine 5, ray tracing, dynamic, Nikon d850, Depth of field 270mm, Amaro, Golden ratio, <lora:TLS:0.5> Full negative prompt: ((helmet)), CGI, Unreal, Airbrushed, Digital, dark, oversaturated, 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:04<00:17, 4.38s/it] 40%|████ | 2/5 [00:08<00:12, 4.10s/it] 60%|██████ | 3/5 [00:12<00:07, 3.94s/it] 80%|████████ | 4/5 [00:14<00:03, 3.47s/it] 100%|██████████| 5/5 [00:15<00:00, 2.54s/it] 100%|██████████| 5/5 [00:15<00:00, 3.14s/it] Decoding latents in cuda:0... done in 1.77s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 170.6ms Speed: 2.7ms preprocess, 170.6ms inference, 22.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:02<00:04, 2.16s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.87s/it] 100%|██████████| 3/3 [00:04<00:00, 1.31s/it] 100%|██████████| 3/3 [00:04<00:00, 1.49s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.5ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:02<00:04, 2.48s/it] 67%|██████▋ | 2/3 [00:05<00:02, 2.60s/it] 100%|██████████| 3/3 [00:06<00:00, 1.95s/it] 100%|██████████| 3/3 [00:06<00:00, 2.11s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 17.6ms Speed: 3.6ms preprocess, 17.6ms inference, 3.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:02<00:04, 2.07s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.81s/it] 100%|██████████| 3/3 [00:04<00:00, 1.27s/it] 100%|██████████| 3/3 [00:04<00:00, 1.44s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.