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Old Men with Realism Engine SDXL
realism-engine-sdxl:v3.0
evevalentine2017
evevalentine2017
·
Feb 1
357
Input
prompt
Specify things to see in the output
dramatic close-up portrait of a 60 year old hobo standing next to railroad tracks, proud, contempt, dawn, autumn colors, trees, dslr, artistic light, side angle, realistic proportions, intricate details, 16k resolution, hdr, raytracing.
negative_prompt
Specify things to not see in the output
(worst quality:1.4), (low quality:1.4), (normal quality:1.4), (makeup, ugly, underwear, swimsuit, clothes), ear, hand, finger, nail, tail, claw, paw, tentacle, fin, narrow hips, skinny, depth of field, bokeh, perfect, (looking at viewer:1.7), thin,
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
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2059310518
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 SDE Karras
samping_steps
Number of denoising steps
24
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/4eabb83b1b3a4d819f0e7c43b05d0968/00000-2059310518.webp
https://files.tungsten.run/uploads/899f4c770a614c0f9afa5128ce1f6330/00001-2059310519.webp
https://files.tungsten.run/uploads/7a3cdee98915428f9891c1b0b1fa08ab/00002-2059310520.webp
Finished in 79.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: dramatic close-up portrait of a 60 year old hobo standing next to railroad tracks, proud, contempt, dawn, autumn colors, trees, dslr, artistic light, side angle, realistic proportions, intricate details, 16k resolution, hdr, raytracing. Full negative prompt: (worst quality:1.4), (low quality:1.4), (normal quality:1.4), (makeup, ugly, underwear, swimsuit, clothes), ear, hand, finger, nail, tail, claw, paw, tentacle, fin, narrow hips, skinny, depth of field, bokeh, perfect, (looking at viewer:1.7), thin, 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:38, 1.68s/it] 8%|▊ | 2/24 [00:03<00:42, 1.95s/it] 12%|█▎ | 3/24 [00:05<00:42, 2.04s/it] 17%|█▋ | 4/24 [00:07<00:40, 2.02s/it] 21%|██ | 5/24 [00:10<00:38, 2.05s/it] 25%|██▌ | 6/24 [00:12<00:37, 2.06s/it] 29%|██▉ | 7/24 [00:14<00:35, 2.08s/it] 33%|███▎ | 8/24 [00:16<00:33, 2.09s/it] 38%|███▊ | 9/24 [00:18<00:31, 2.10s/it] 42%|████▏ | 10/24 [00:20<00:29, 2.07s/it] 46%|████▌ | 11/24 [00:22<00:27, 2.09s/it] 50%|█████ | 12/24 [00:24<00:24, 2.06s/it] 54%|█████▍ | 13/24 [00:26<00:22, 2.03s/it] 58%|█████▊ | 14/24 [00:28<00:19, 2.00s/it] 62%|██████▎ | 15/24 [00:30<00:17, 1.98s/it] 67%|██████▋ | 16/24 [00:32<00:15, 1.95s/it] 71%|███████ | 17/24 [00:33<00:13, 1.86s/it] 75%|███████▌ | 18/24 [00:36<00:11, 1.91s/it] 79%|███████▉ | 19/24 [00:37<00:09, 1.93s/it] 83%|████████▎ | 20/24 [00:39<00:07, 1.89s/it] 88%|████████▊ | 21/24 [00:41<00:05, 1.95s/it] 92%|█████████▏| 22/24 [00:43<00:03, 1.85s/it] 96%|█████████▌| 23/24 [00:44<00:01, 1.59s/it] 100%|██████████| 24/24 [00:45<00:00, 1.38s/it] 100%|██████████| 24/24 [00:45<00:00, 1.89s/it] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 163.4ms Speed: 2.9ms preprocess, 163.4ms inference, 22.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:08, 1.21it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.31it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.40it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.52it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.43it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.46it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.50it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.50it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.56it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.80it/s] 100%|██████████| 11/11 [00:06<00:00, 2.03it/s] 100%|██████████| 11/11 [00:06<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.2ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.39it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.44it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.47it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.55it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.43it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.46it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.50it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.51it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.58it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.81it/s] 100%|██████████| 11/11 [00:06<00:00, 2.06it/s] 100%|██████████| 11/11 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.5ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.41it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.43it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.46it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.55it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.44it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.47it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.47it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.48it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.55it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.77it/s] 100%|██████████| 11/11 [00:06<00:00, 2.02it/s] 100%|██████████| 11/11 [00:06<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
dramatic close-up portrait of a 60 year old hobo standing next to railroad tracks, proud, contempt, dawn, autumn colors, trees, dslr, artistic light, side angle, realistic proportions, intricate details, 16k resolution, hdr, raytracing.
negative_prompt
Specify things to not see in the output
(worst quality:1.4), (low quality:1.4), (normal quality:1.4), (makeup, ugly, underwear, swimsuit, clothes), ear, hand, finger, nail, tail, claw, paw, tentacle, fin, narrow hips, skinny, depth of field, bokeh, perfect, (looking at viewer:1.7), thin,
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
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2059310518
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 SDE Karras
samping_steps
Number of denoising steps
24
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/4eabb83b1b3a4d819f0e7c43b05d0968/00000-2059310518.webp
https://files.tungsten.run/uploads/899f4c770a614c0f9afa5128ce1f6330/00001-2059310519.webp
https://files.tungsten.run/uploads/7a3cdee98915428f9891c1b0b1fa08ab/00002-2059310520.webp
Finished in 79.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: dramatic close-up portrait of a 60 year old hobo standing next to railroad tracks, proud, contempt, dawn, autumn colors, trees, dslr, artistic light, side angle, realistic proportions, intricate details, 16k resolution, hdr, raytracing. Full negative prompt: (worst quality:1.4), (low quality:1.4), (normal quality:1.4), (makeup, ugly, underwear, swimsuit, clothes), ear, hand, finger, nail, tail, claw, paw, tentacle, fin, narrow hips, skinny, depth of field, bokeh, perfect, (looking at viewer:1.7), thin, 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:38, 1.68s/it] 8%|▊ | 2/24 [00:03<00:42, 1.95s/it] 12%|█▎ | 3/24 [00:05<00:42, 2.04s/it] 17%|█▋ | 4/24 [00:07<00:40, 2.02s/it] 21%|██ | 5/24 [00:10<00:38, 2.05s/it] 25%|██▌ | 6/24 [00:12<00:37, 2.06s/it] 29%|██▉ | 7/24 [00:14<00:35, 2.08s/it] 33%|███▎ | 8/24 [00:16<00:33, 2.09s/it] 38%|███▊ | 9/24 [00:18<00:31, 2.10s/it] 42%|████▏ | 10/24 [00:20<00:29, 2.07s/it] 46%|████▌ | 11/24 [00:22<00:27, 2.09s/it] 50%|█████ | 12/24 [00:24<00:24, 2.06s/it] 54%|█████▍ | 13/24 [00:26<00:22, 2.03s/it] 58%|█████▊ | 14/24 [00:28<00:19, 2.00s/it] 62%|██████▎ | 15/24 [00:30<00:17, 1.98s/it] 67%|██████▋ | 16/24 [00:32<00:15, 1.95s/it] 71%|███████ | 17/24 [00:33<00:13, 1.86s/it] 75%|███████▌ | 18/24 [00:36<00:11, 1.91s/it] 79%|███████▉ | 19/24 [00:37<00:09, 1.93s/it] 83%|████████▎ | 20/24 [00:39<00:07, 1.89s/it] 88%|████████▊ | 21/24 [00:41<00:05, 1.95s/it] 92%|█████████▏| 22/24 [00:43<00:03, 1.85s/it] 96%|█████████▌| 23/24 [00:44<00:01, 1.59s/it] 100%|██████████| 24/24 [00:45<00:00, 1.38s/it] 100%|██████████| 24/24 [00:45<00:00, 1.89s/it] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 163.4ms Speed: 2.9ms preprocess, 163.4ms inference, 22.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:08, 1.21it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.31it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.40it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.52it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.43it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.46it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.50it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.50it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.56it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.80it/s] 100%|██████████| 11/11 [00:06<00:00, 2.03it/s] 100%|██████████| 11/11 [00:06<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.2ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.39it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.44it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.47it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.55it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.43it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.46it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.50it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.51it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.58it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.81it/s] 100%|██████████| 11/11 [00:06<00:00, 2.06it/s] 100%|██████████| 11/11 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.5ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.41it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.43it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.46it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.55it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.44it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.47it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.47it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.48it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.55it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.77it/s] 100%|██████████| 11/11 [00:06<00:00, 2.02it/s] 100%|██████████| 11/11 [00:06<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.