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Handsome Men with Realbiter
realbiter:v1.5
evevalentine2017
evevalentine2017
·
Apr 12
118
Input
prompt
Specify things to see in the output
epiC35mm, Ultra Realistic concept photo of 1 handsome brunette man, solo, caucasian man in glasses and (shirt:1.2) and (trousers), 1man, solo, manly, muscular, sexy, (arrogant stern look), big expressive eyes, male model, straight nose, symmetrical face, perfect jawline, male focus, (black undercut hair), looking at viewer, RAW photo, 15K, 16K, UHD, absurdres, Best resolution, extremely high detailed, highest quality, masterpiece, Award Winning, cinematic, high budget, epic realistic, photorealistic, highest quality, skin texture, intricate details, (cinematic lighting), RAW photo, 8k, <lora:more_details:0.8>, <lora:epiC35mm:1>
negative_prompt
Specify things to not see in the output
(easynegative), monochrome, (low quality, worst quality:1.2), (multiples views:1.2), wrong hands, deformed fingers, author signature, text, watermark, nsfw, epiCNegative
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2145508526
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++ 2M Karras
samping_steps
Number of denoising steps
58
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiC35mm.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
epiCNegative.pt
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/9f522710e34d4ec6b24cc6f696a9bb91/00000-2145508526.webp
https://files.tungsten.run/uploads/ca58ac8b2cee4be2861af17c60d84b80/00001-2145508527.webp
https://files.tungsten.run/uploads/290af48dfcdf4d87940cb54972c82ccd/00002-2145508528.webp
https://files.tungsten.run/uploads/0396b8e703e247a39c407f13ab867a2c/00003-2145508529.webp
Finished in 87.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: epiC35mm, Ultra Realistic concept photo of 1 handsome brunette man, solo, caucasian man in glasses and (shirt:1.2) and (trousers), 1man, solo, manly, muscular, sexy, (arrogant stern look), big expressive eyes, male model, straight nose, symmetrical face, perfect jawline, male focus, (black undercut hair), looking at viewer, RAW photo, 15K, 16K, UHD, absurdres, Best resolution, extremely high detailed, highest quality, masterpiece, Award Winning, cinematic, high budget, epic realistic, photorealistic, highest quality, skin texture, intricate details, (cinematic lighting), RAW photo, 8k, <lora:more_details:0.8>, <lora:epiC35mm:1> Full negative prompt: (easynegative), monochrome, (low quality, worst quality:1.2), (multiples views:1.2), wrong hands, deformed fingers, author signature, text, watermark, nsfw, epiCNegative 0%| | 0/58 [00:00<?, ?it/s] 2%|▏ | 1/58 [00:01<01:10, 1.24s/it] 3%|▎ | 2/58 [00:01<00:49, 1.14it/s] 5%|▌ | 3/58 [00:02<00:41, 1.31it/s] 7%|▋ | 4/58 [00:03<00:38, 1.41it/s] 9%|▊ | 5/58 [00:03<00:36, 1.47it/s] 10%|█ | 6/58 [00:04<00:34, 1.51it/s] 12%|█▏ | 7/58 [00:05<00:33, 1.54it/s] 14%|█▍ | 8/58 [00:05<00:32, 1.55it/s] 16%|█▌ | 9/58 [00:06<00:31, 1.57it/s] 17%|█▋ | 10/58 [00:06<00:30, 1.57it/s] 19%|█▉ | 11/58 [00:07<00:29, 1.58it/s] 21%|██ | 12/58 [00:08<00:29, 1.58it/s] 22%|██▏ | 13/58 [00:08<00:28, 1.59it/s] 24%|██▍ | 14/58 [00:09<00:27, 1.59it/s] 26%|██▌ | 15/58 [00:10<00:27, 1.59it/s] 28%|██▊ | 16/58 [00:10<00:26, 1.59it/s] 29%|██▉ | 17/58 [00:11<00:25, 1.59it/s] 31%|███ | 18/58 [00:11<00:25, 1.59it/s] 33%|███▎ | 19/58 [00:12<00:24, 1.59it/s] 34%|███▍ | 20/58 [00:13<00:23, 1.59it/s] 36%|███▌ | 21/58 [00:13<00:23, 1.59it/s] 38%|███▊ | 22/58 [00:14<00:22, 1.60it/s] 40%|███▉ | 23/58 [00:15<00:21, 1.59it/s] 41%|████▏ | 24/58 [00:15<00:21, 1.59it/s] 43%|████▎ | 25/58 [00:16<00:20, 1.60it/s] 45%|████▍ | 26/58 [00:16<00:20, 1.60it/s] 47%|████▋ | 27/58 [00:17<00:19, 1.58it/s] 48%|████▊ | 28/58 [00:18<00:18, 1.59it/s] 50%|█████ | 29/58 [00:18<00:18, 1.59it/s] 52%|█████▏ | 30/58 [00:19<00:17, 1.59it/s] 53%|█████▎ | 31/58 [00:20<00:16, 1.59it/s] 55%|█████▌ | 32/58 [00:20<00:16, 1.59it/s] 57%|█████▋ | 33/58 [00:21<00:15, 1.59it/s] 59%|█████▊ | 34/58 [00:21<00:15, 1.59it/s] 60%|██████ | 35/58 [00:22<00:14, 1.59it/s] 62%|██████▏ | 36/58 [00:23<00:13, 1.59it/s] 64%|██████▍ | 37/58 [00:23<00:13, 1.59it/s] 66%|██████▌ | 38/58 [00:24<00:12, 1.59it/s] 67%|██████▋ | 39/58 [00:25<00:11, 1.59it/s] 69%|██████▉ | 40/58 [00:25<00:11, 1.59it/s] 71%|███████ | 41/58 [00:26<00:10, 1.59it/s] 72%|███████▏ | 42/58 [00:27<00:10, 1.59it/s] 74%|███████▍ | 43/58 [00:27<00:09, 1.59it/s] 76%|███████▌ | 44/58 [00:28<00:08, 1.59it/s] 78%|███████▊ | 45/58 [00:28<00:08, 1.59it/s] 79%|███████▉ | 46/58 [00:29<00:07, 1.59it/s] 81%|████████ | 47/58 [00:30<00:06, 1.59it/s] 83%|████████▎ | 48/58 [00:30<00:06, 1.59it/s] 84%|████████▍ | 49/58 [00:31<00:05, 1.59it/s] 86%|████████▌ | 50/58 [00:32<00:05, 1.59it/s] 88%|████████▊ | 51/58 [00:32<00:04, 1.59it/s] 90%|████████▉ | 52/58 [00:33<00:03, 1.59it/s] 91%|█████████▏| 53/58 [00:33<00:03, 1.58it/s] 93%|█████████▎| 54/58 [00:34<00:02, 1.58it/s] 95%|█████████▍| 55/58 [00:35<00:01, 1.59it/s] 97%|█████████▋| 56/58 [00:35<00:01, 1.58it/s] 98%|█████████▊| 57/58 [00:36<00:00, 1.59it/s] 100%|██████████| 58/58 [00:37<00:00, 1.59it/s] 100%|██████████| 58/58 [00:37<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
epiC35mm, Ultra Realistic concept photo of 1 handsome brunette man, solo, caucasian man in glasses and (shirt:1.2) and (trousers), 1man, solo, manly, muscular, sexy, (arrogant stern look), big expressive eyes, male model, straight nose, symmetrical face, perfect jawline, male focus, (black undercut hair), looking at viewer, RAW photo, 15K, 16K, UHD, absurdres, Best resolution, extremely high detailed, highest quality, masterpiece, Award Winning, cinematic, high budget, epic realistic, photorealistic, highest quality, skin texture, intricate details, (cinematic lighting), RAW photo, 8k, <lora:more_details:0.8>, <lora:epiC35mm:1>
negative_prompt
Specify things to not see in the output
(easynegative), monochrome, (low quality, worst quality:1.2), (multiples views:1.2), wrong hands, deformed fingers, author signature, text, watermark, nsfw, epiCNegative
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2145508526
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++ 2M Karras
samping_steps
Number of denoising steps
58
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiC35mm.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
epiCNegative.pt
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/9f522710e34d4ec6b24cc6f696a9bb91/00000-2145508526.webp
https://files.tungsten.run/uploads/ca58ac8b2cee4be2861af17c60d84b80/00001-2145508527.webp
https://files.tungsten.run/uploads/290af48dfcdf4d87940cb54972c82ccd/00002-2145508528.webp
https://files.tungsten.run/uploads/0396b8e703e247a39c407f13ab867a2c/00003-2145508529.webp
Finished in 87.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: epiC35mm, Ultra Realistic concept photo of 1 handsome brunette man, solo, caucasian man in glasses and (shirt:1.2) and (trousers), 1man, solo, manly, muscular, sexy, (arrogant stern look), big expressive eyes, male model, straight nose, symmetrical face, perfect jawline, male focus, (black undercut hair), looking at viewer, RAW photo, 15K, 16K, UHD, absurdres, Best resolution, extremely high detailed, highest quality, masterpiece, Award Winning, cinematic, high budget, epic realistic, photorealistic, highest quality, skin texture, intricate details, (cinematic lighting), RAW photo, 8k, <lora:more_details:0.8>, <lora:epiC35mm:1> Full negative prompt: (easynegative), monochrome, (low quality, worst quality:1.2), (multiples views:1.2), wrong hands, deformed fingers, author signature, text, watermark, nsfw, epiCNegative 0%| | 0/58 [00:00<?, ?it/s] 2%|▏ | 1/58 [00:01<01:10, 1.24s/it] 3%|▎ | 2/58 [00:01<00:49, 1.14it/s] 5%|▌ | 3/58 [00:02<00:41, 1.31it/s] 7%|▋ | 4/58 [00:03<00:38, 1.41it/s] 9%|▊ | 5/58 [00:03<00:36, 1.47it/s] 10%|█ | 6/58 [00:04<00:34, 1.51it/s] 12%|█▏ | 7/58 [00:05<00:33, 1.54it/s] 14%|█▍ | 8/58 [00:05<00:32, 1.55it/s] 16%|█▌ | 9/58 [00:06<00:31, 1.57it/s] 17%|█▋ | 10/58 [00:06<00:30, 1.57it/s] 19%|█▉ | 11/58 [00:07<00:29, 1.58it/s] 21%|██ | 12/58 [00:08<00:29, 1.58it/s] 22%|██▏ | 13/58 [00:08<00:28, 1.59it/s] 24%|██▍ | 14/58 [00:09<00:27, 1.59it/s] 26%|██▌ | 15/58 [00:10<00:27, 1.59it/s] 28%|██▊ | 16/58 [00:10<00:26, 1.59it/s] 29%|██▉ | 17/58 [00:11<00:25, 1.59it/s] 31%|███ | 18/58 [00:11<00:25, 1.59it/s] 33%|███▎ | 19/58 [00:12<00:24, 1.59it/s] 34%|███▍ | 20/58 [00:13<00:23, 1.59it/s] 36%|███▌ | 21/58 [00:13<00:23, 1.59it/s] 38%|███▊ | 22/58 [00:14<00:22, 1.60it/s] 40%|███▉ | 23/58 [00:15<00:21, 1.59it/s] 41%|████▏ | 24/58 [00:15<00:21, 1.59it/s] 43%|████▎ | 25/58 [00:16<00:20, 1.60it/s] 45%|████▍ | 26/58 [00:16<00:20, 1.60it/s] 47%|████▋ | 27/58 [00:17<00:19, 1.58it/s] 48%|████▊ | 28/58 [00:18<00:18, 1.59it/s] 50%|█████ | 29/58 [00:18<00:18, 1.59it/s] 52%|█████▏ | 30/58 [00:19<00:17, 1.59it/s] 53%|█████▎ | 31/58 [00:20<00:16, 1.59it/s] 55%|█████▌ | 32/58 [00:20<00:16, 1.59it/s] 57%|█████▋ | 33/58 [00:21<00:15, 1.59it/s] 59%|█████▊ | 34/58 [00:21<00:15, 1.59it/s] 60%|██████ | 35/58 [00:22<00:14, 1.59it/s] 62%|██████▏ | 36/58 [00:23<00:13, 1.59it/s] 64%|██████▍ | 37/58 [00:23<00:13, 1.59it/s] 66%|██████▌ | 38/58 [00:24<00:12, 1.59it/s] 67%|██████▋ | 39/58 [00:25<00:11, 1.59it/s] 69%|██████▉ | 40/58 [00:25<00:11, 1.59it/s] 71%|███████ | 41/58 [00:26<00:10, 1.59it/s] 72%|███████▏ | 42/58 [00:27<00:10, 1.59it/s] 74%|███████▍ | 43/58 [00:27<00:09, 1.59it/s] 76%|███████▌ | 44/58 [00:28<00:08, 1.59it/s] 78%|███████▊ | 45/58 [00:28<00:08, 1.59it/s] 79%|███████▉ | 46/58 [00:29<00:07, 1.59it/s] 81%|████████ | 47/58 [00:30<00:06, 1.59it/s] 83%|████████▎ | 48/58 [00:30<00:06, 1.59it/s] 84%|████████▍ | 49/58 [00:31<00:05, 1.59it/s] 86%|████████▌ | 50/58 [00:32<00:05, 1.59it/s] 88%|████████▊ | 51/58 [00:32<00:04, 1.59it/s] 90%|████████▉ | 52/58 [00:33<00:03, 1.59it/s] 91%|█████████▏| 53/58 [00:33<00:03, 1.58it/s] 93%|█████████▎| 54/58 [00:34<00:02, 1.58it/s] 95%|█████████▍| 55/58 [00:35<00:01, 1.59it/s] 97%|█████████▋| 56/58 [00:35<00:01, 1.58it/s] 98%|█████████▊| 57/58 [00:36<00:00, 1.59it/s] 100%|██████████| 58/58 [00:37<00:00, 1.59it/s] 100%|██████████| 58/58 [00:37<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s