Alpha male
Input
prompt
Input prompt
handsome male,big muscle,suit,feather coat,monochrome photography,dutch angle,outdoor
seed
Random seed. Set as -1 to randomize the seed
1350653240
muscle
How muscular the person on the generated image should be
0.8
details
How much details the image should have
0.5
sampler
Sampler type
DPM++ SDE Karras
cfg_scale
Scale for classifier-free guidance
7
clip_skip
Whether to ignore the last layer of CLIP network or not
true
num_outputs
Number of output images
8
film_likeness
How film-like the generated image should be
0.5
samping_steps
Number of denoising steps
20
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), moles, bad anatomy, bad hands, cropped, missing fingers, missing toes, too many toes, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus
reference_image
Image with a reference architecture shape
image_dimensions
Pixel dimensions of output image (width x height)
512x768
Output
https://files.tungsten.run/uploads/6a0ddcf807e74f12b3ebe8488a0ddc72/tmpwj9v3b_n.png
https://files.tungsten.run/uploads/40f1d192763d4c1da280a3b3732d0995/tmpns13v2ev.png
https://files.tungsten.run/uploads/9640e73b7da84579b5b3d3cc605a2fcb/tmp0r77lidw.png
https://files.tungsten.run/uploads/5ab24d221a414fdd8f905e3b27f37459/tmp2op9eyn7.png
https://files.tungsten.run/uploads/5cf584376c3c43f2bece0b1011f2051f/tmp36y7l25z.png
https://files.tungsten.run/uploads/8d2c9252914f45a784ab2ae2ea36b58d/tmp2nh7p0s0.png
https://files.tungsten.run/uploads/5b3d906927c0435a995a444bc19246d2/tmp__eot7f9.png
https://files.tungsten.run/uploads/e1edda7f30164e64bc5a608f21005afb/tmpyn_4v9yy.png
Preparing inputs... Predicting... 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:08<02:40, 8.44s/it] 10%|█ | 2/20 [00:13<01:53, 6.32s/it] 15%|█▌ | 3/20 [00:18<01:36, 5.66s/it] 20%|██ | 4/20 [00:23<01:25, 5.36s/it] 25%|██▌ | 5/20 [00:27<01:18, 5.20s/it] 30%|███ | 6/20 [00:32<01:11, 5.11s/it] 35%|███▌ | 7/20 [00:37<01:05, 5.05s/it] 40%|████ | 8/20 [00:42<01:00, 5.01s/it] 45%|████▌ | 9/20 [00:47<00:54, 5.00s/it] 50%|█████ | 10/20 [00:52<00:49, 4.99s/it] 55%|█████▌ | 11/20 [00:57<00:44, 4.98s/it] 60%|██████ | 12/20 [01:02<00:39, 4.99s/it] 65%|██████▌ | 13/20 [01:07<00:35, 5.00s/it] 70%|███████ | 14/20 [01:12<00:29, 4.99s/it] 75%|███████▌ | 15/20 [01:17<00:24, 4.99s/it] 80%|████████ | 16/20 [01:22<00:19, 4.99s/it] 85%|████████▌ | 17/20 [01:27<00:15, 5.00s/it] 90%|█████████ | 18/20 [01:32<00:09, 5.00s/it] 95%|█████████▌| 19/20 [01:37<00:04, 5.00s/it] 100%|██████████| 20/20 [01:40<00:00, 4.25s/it] 100%|██████████| 20/20 [01:40<00:00, 5.01s/it] Prediction done.
prompt
Input prompt
handsome male,big muscle,suit,feather coat,monochrome photography,dutch angle,outdoor
seed
Random seed. Set as -1 to randomize the seed
1350653240
muscle
How muscular the person on the generated image should be
0.8
details
How much details the image should have
0.5
sampler
Sampler type
DPM++ SDE Karras
cfg_scale
Scale for classifier-free guidance
7
clip_skip
Whether to ignore the last layer of CLIP network or not
true
num_outputs
Number of output images
8
film_likeness
How film-like the generated image should be
0.5
samping_steps
Number of denoising steps
20
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), moles, bad anatomy, bad hands, cropped, missing fingers, missing toes, too many toes, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus
reference_image
Image with a reference architecture shape
image_dimensions
Pixel dimensions of output image (width x height)
512x768
https://files.tungsten.run/uploads/6a0ddcf807e74f12b3ebe8488a0ddc72/tmpwj9v3b_n.png
https://files.tungsten.run/uploads/40f1d192763d4c1da280a3b3732d0995/tmpns13v2ev.png
https://files.tungsten.run/uploads/9640e73b7da84579b5b3d3cc605a2fcb/tmp0r77lidw.png
https://files.tungsten.run/uploads/5ab24d221a414fdd8f905e3b27f37459/tmp2op9eyn7.png
https://files.tungsten.run/uploads/5cf584376c3c43f2bece0b1011f2051f/tmp36y7l25z.png
https://files.tungsten.run/uploads/8d2c9252914f45a784ab2ae2ea36b58d/tmp2nh7p0s0.png
https://files.tungsten.run/uploads/5b3d906927c0435a995a444bc19246d2/tmp__eot7f9.png
https://files.tungsten.run/uploads/e1edda7f30164e64bc5a608f21005afb/tmpyn_4v9yy.png
Preparing inputs... Predicting... 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:08<02:40, 8.44s/it] 10%|█ | 2/20 [00:13<01:53, 6.32s/it] 15%|█▌ | 3/20 [00:18<01:36, 5.66s/it] 20%|██ | 4/20 [00:23<01:25, 5.36s/it] 25%|██▌ | 5/20 [00:27<01:18, 5.20s/it] 30%|███ | 6/20 [00:32<01:11, 5.11s/it] 35%|███▌ | 7/20 [00:37<01:05, 5.05s/it] 40%|████ | 8/20 [00:42<01:00, 5.01s/it] 45%|████▌ | 9/20 [00:47<00:54, 5.00s/it] 50%|█████ | 10/20 [00:52<00:49, 4.99s/it] 55%|█████▌ | 11/20 [00:57<00:44, 4.98s/it] 60%|██████ | 12/20 [01:02<00:39, 4.99s/it] 65%|██████▌ | 13/20 [01:07<00:35, 5.00s/it] 70%|███████ | 14/20 [01:12<00:29, 4.99s/it] 75%|███████▌ | 15/20 [01:17<00:24, 4.99s/it] 80%|████████ | 16/20 [01:22<00:19, 4.99s/it] 85%|████████▌ | 17/20 [01:27<00:15, 5.00s/it] 90%|█████████ | 18/20 [01:32<00:09, 5.00s/it] 95%|█████████▌| 19/20 [01:37<00:04, 5.00s/it] 100%|██████████| 20/20 [01:40<00:00, 4.25s/it] 100%|██████████| 20/20 [01:40<00:00, 5.01s/it] Prediction done.