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A Dictator in waifugenieturbo
waifugenieturbo:v1.2
sparks
sparks
·
Jan 21
348
Input
prompt
Specify things to see in the output
cinematic photo of a Kim Jong Un skiing downhill in aspen with a puffer jacket, intricate detail, long shot
negative_prompt
Specify things to not see in the output
blurry, bokeh, painted, obese, monochrome
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
1572595972
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
7
cfg_scale
Scale for classifier-free guidance
3
clip_skip
The number of last layers of CLIP network to skip
1
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/5de48d86ed714cd2af2f4618ccc21a53/00000-1572595972.webp
https://files.tungsten.run/uploads/1568d7694a454cfa8d2431fd78ff7285/00001-1572595973.webp
https://files.tungsten.run/uploads/9b9ed62138944b1293ad4960545dcad3/00002-1572595974.webp
Finished in 68.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: cinematic photo of a Kim Jong Un skiing downhill in aspen with a puffer jacket, intricate detail, long shot, <lora:add-detail-xl:1.5> Full negative prompt: blurry, bokeh, painted, obese, monochrome 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:05<00:33, 5.59s/it] 29%|██▊ | 2/7 [00:11<00:27, 5.49s/it] 43%|████▎ | 3/7 [00:16<00:22, 5.62s/it] 57%|█████▋ | 4/7 [00:22<00:16, 5.64s/it] 71%|███████▏ | 5/7 [00:27<00:11, 5.50s/it] 86%|████████▌ | 6/7 [00:31<00:04, 4.89s/it] 100%|██████████| 7/7 [00:32<00:00, 3.71s/it] 100%|██████████| 7/7 [00:32<00:00, 4.67s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.8ms Speed: 3.5ms preprocess, 7.8ms inference, 12.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.76s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.40s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.10s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 4.8ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.71s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.38s/it] 100%|██████████| 3/3 [00:03<00:00, 1.08it/s] 100%|██████████| 3/3 [00:03<00:00, 1.08s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 3.1ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.70s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.38s/it] 100%|██████████| 3/3 [00:03<00:00, 1.08it/s] 100%|██████████| 3/3 [00:03<00:00, 1.08s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.71s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.39s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.09s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 14.5ms Speed: 3.1ms preprocess, 14.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
cinematic photo of a Kim Jong Un skiing downhill in aspen with a puffer jacket, intricate detail, long shot
negative_prompt
Specify things to not see in the output
blurry, bokeh, painted, obese, monochrome
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
1572595972
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
7
cfg_scale
Scale for classifier-free guidance
3
clip_skip
The number of last layers of CLIP network to skip
1
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/5de48d86ed714cd2af2f4618ccc21a53/00000-1572595972.webp
https://files.tungsten.run/uploads/1568d7694a454cfa8d2431fd78ff7285/00001-1572595973.webp
https://files.tungsten.run/uploads/9b9ed62138944b1293ad4960545dcad3/00002-1572595974.webp
Finished in 68.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: cinematic photo of a Kim Jong Un skiing downhill in aspen with a puffer jacket, intricate detail, long shot, <lora:add-detail-xl:1.5> Full negative prompt: blurry, bokeh, painted, obese, monochrome 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:05<00:33, 5.59s/it] 29%|██▊ | 2/7 [00:11<00:27, 5.49s/it] 43%|████▎ | 3/7 [00:16<00:22, 5.62s/it] 57%|█████▋ | 4/7 [00:22<00:16, 5.64s/it] 71%|███████▏ | 5/7 [00:27<00:11, 5.50s/it] 86%|████████▌ | 6/7 [00:31<00:04, 4.89s/it] 100%|██████████| 7/7 [00:32<00:00, 3.71s/it] 100%|██████████| 7/7 [00:32<00:00, 4.67s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.8ms Speed: 3.5ms preprocess, 7.8ms inference, 12.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.76s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.40s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.10s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 4.8ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.71s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.38s/it] 100%|██████████| 3/3 [00:03<00:00, 1.08it/s] 100%|██████████| 3/3 [00:03<00:00, 1.08s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 3.1ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.70s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.38s/it] 100%|██████████| 3/3 [00:03<00:00, 1.08it/s] 100%|██████████| 3/3 [00:03<00:00, 1.08s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.71s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.39s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.09s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 14.5ms Speed: 3.1ms preprocess, 14.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.