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realistic-vision:v5.1-base-v4.3
wwwbookafficionado
wwwbookafficionado
·
12/25/2023
372
Input
prompt
Specify things to see in the output
photography of (Russian woman1.3), 40 years old, wearing cotton panties and mesh shirt, sexy attire, (looking at viewer:1.2), (in neon tokyo alley:1.2), hyper realistic texture human skin, flat lighting, (soft saturation:1.2), analog style,<lora:add_sharpness:0.7>, <lora:photoblend:0.4>, <lora:epiNoiseoffset_v2-pynoise:0.6>
negative_prompt
Specify things to not see in the output
nsfwEM, bad-artist, bad-hands-5, bad-image-v2-39000, bad-picture-chill-75v, bad_prompt, BadDream, easynegative, FastNegativeV2, fcNeg-neg, kkw-ph1-neg, ng_deepnegative_v1_75t, rmadanegative402_sd15-neg, UnrealisticDream, verybadimagenegative_v1.3, black and white, bnw, b&w, (grey:1.3), (gray:1.3), (greyscale:1.3), (grayscale:1.3), gym, anime, cartoon, painting, girls, women, people, crowd, passer-by, passerby, passers-by, passersby, twisted body, screwed body, gay, gays, shemale, dick, penis, (hat:1.3), (headgear:1.3), (cap:1.3), (beret:1.3), glasses, covering, luggage, (horns:1.5), (evil:1.3), (devil:1.3), angel, (demon:1.3),santa,christmass, goblin, smurf, (monster:1.3), blood, mad, angry, sad, wings, ears, wings, feather, headband, band, maid, mask, flu mask, horror, (closed eyes:1.3), eyes closed, watermark, (text:1.3), logo, earrings, levelry, (teeth:1.3), (teeths:1.3), (open mouth:1.3), (tan lines:1.3), (dark shadows:1.3), (shadows:1.3), strong shadows, shawl, cloth, wrap, clothes, wearing, wears, covering, soup
num_outputs
Number of output images
4
width
Output image width
540
height
Output image height
960
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
2238860859
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
45
cfg_scale
Scale for classifier-free guidance
3
clip_skip
The number of last layers of CLIP network to skip
3
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/bf8d68b0779747d6b8da2afb061ef224/00000-2238860859.png
https://files.tungsten.run/uploads/6c804cc9d3df43a991fa07445ad721e2/00001-2238860860.png
https://files.tungsten.run/uploads/632cee8c751c4758811a528b0af1eb1c/00002-2238860861.png
https://files.tungsten.run/uploads/72b8cf27eefd4063be593d1cfaf84aff/00003-2238860862.png
Finished in 124.8 seconds
Setting up the model... Processing... Full prompt: photography of (Russian woman1.3), 40 years old, wearing cotton panties and mesh shirt, sexy attire, (looking at viewer:1.2), (in neon tokyo alley:1.2), hyper realistic texture human skin, flat lighting, (soft saturation:1.2), analog style,<lora:add_sharpness:0.7>, <lora:photoblend:0.4>, <lora:epiNoiseoffset_v2-pynoise:0.6> Full negative prompt: nsfwEM, bad-artist, bad-image-v2-39000, bad-picture-chill-75v, bad_prompt, easynegative, FastNegativeV2, fcNeg-neg, kkw-ph1-neg, ng_deepnegative_v1_75t, rmadanegative402_sd15-neg, verybadimagenegative_v1.3, black and white, bnw, b&w, (grey:1.3), (gray:1.3), (greyscale:1.3), (grayscale:1.3), gym, anime, cartoon, painting, girls, women, people, crowd, passer-by, passerby, passers-by, passersby, twisted body, screwed body, gay, gays, shemale, dick, penis, (hat:1.3), (headgear:1.3), (cap:1.3), (beret:1.3), glasses, covering, luggage, (horns:1.5), (evil:1.3), (devil:1.3), angel, (demon:1.3),santa,christmass, goblin, smurf, (monster:1.3), blood, mad, angry, sad, wings, ears, wings, feather, headband, band, maid, mask, flu mask, horror, (closed eyes:1.3), eyes closed, watermark, (text:1.3), logo, earrings, levelry, (teeth:1.3), (teeths:1.3), (open mouth:1.3), (tan lines:1.3), (dark shadows:1.3), (shadows:1.3), strong shadows, shawl, cloth, wrap, clothes, wearing, wears, covering, soup, BadDream, UnrealisticDream, bad-hands-5 Couldn't find network with name add_sharpness Couldn't find network with name photoblend Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:02<01:41, 2.30s/it] 4%|▍ | 2/45 [00:05<01:58, 2.76s/it] 7%|▋ | 3/45 [00:08<02:01, 2.89s/it] 9%|▉ | 4/45 [00:11<02:01, 2.97s/it] 11%|█ | 5/45 [00:14<02:00, 3.00s/it] 13%|█▎ | 6/45 [00:17<01:57, 3.02s/it] 16%|█▌ | 7/45 [00:20<01:53, 2.99s/it] 18%|█▊ | 8/45 [00:23<01:51, 3.01s/it] 20%|██ | 9/45 [00:26<01:48, 3.00s/it] 22%|██▏ | 10/45 [00:29<01:45, 3.01s/it] 24%|██▍ | 11/45 [00:32<01:41, 3.00s/it] 27%|██▋ | 12/45 [00:35<01:38, 2.99s/it] 29%|██▉ | 13/45 [00:38<01:34, 2.94s/it] 31%|███ | 14/45 [00:41<01:31, 2.96s/it] 33%|███▎ | 15/45 [00:44<01:28, 2.97s/it] 36%|███▌ | 16/45 [00:47<01:25, 2.94s/it] 38%|███▊ | 17/45 [00:49<01:15, 2.70s/it] 40%|████ | 18/45 [00:52<01:13, 2.70s/it] 42%|████▏ | 19/45 [00:54<01:10, 2.72s/it] 44%|████▍ | 20/45 [00:57<01:09, 2.79s/it] 47%|████▋ | 21/45 [01:00<01:07, 2.79s/it] 49%|████▉ | 22/45 [01:03<01:03, 2.78s/it] 51%|█████ | 23/45 [01:06<01:01, 2.79s/it] 53%|█████▎ | 24/45 [01:09<00:59, 2.82s/it] 56%|█████▌ | 25/45 [01:11<00:56, 2.84s/it] 58%|█████▊ | 26/45 [01:14<00:54, 2.84s/it] 60%|██████ | 27/45 [01:17<00:51, 2.86s/it] 62%|██████▏ | 28/45 [01:20<00:48, 2.85s/it] 64%|██████▍ | 29/45 [01:23<00:44, 2.81s/it] 67%|██████▋ | 30/45 [01:25<00:40, 2.73s/it] 69%|██████▉ | 31/45 [01:28<00:37, 2.68s/it] 71%|███████ | 32/45 [01:30<00:32, 2.52s/it] 73%|███████▎ | 33/45 [01:33<00:30, 2.54s/it] 76%|███████▌ | 34/45 [01:35<00:27, 2.53s/it] 78%|███████▊ | 35/45 [01:37<00:24, 2.42s/it] 80%|████████ | 36/45 [01:40<00:21, 2.38s/it] 82%|████████▏ | 37/45 [01:42<00:18, 2.30s/it] 84%|████████▍ | 38/45 [01:44<00:16, 2.30s/it] 87%|████████▋ | 39/45 [01:46<00:13, 2.20s/it] 89%|████████▉ | 40/45 [01:48<00:10, 2.10s/it] 91%|█████████ | 41/45 [01:50<00:08, 2.04s/it] 93%|█████████▎| 42/45 [01:51<00:05, 1.94s/it] 96%|█████████▌| 43/45 [01:53<00:03, 1.95s/it] 98%|█████████▊| 44/45 [01:55<00:01, 1.87s/it] 100%|██████████| 45/45 [01:56<00:00, 1.48s/it] 100%|██████████| 45/45 [01:56<00:00, 2.58s/it] Decoding latents in cuda:0... done in 0.85s Move latents to cpu... done in 0.02s Uploading outputs... Finished.
prompt
Specify things to see in the output
photography of (Russian woman1.3), 40 years old, wearing cotton panties and mesh shirt, sexy attire, (looking at viewer:1.2), (in neon tokyo alley:1.2), hyper realistic texture human skin, flat lighting, (soft saturation:1.2), analog style,<lora:add_sharpness:0.7>, <lora:photoblend:0.4>, <lora:epiNoiseoffset_v2-pynoise:0.6>
negative_prompt
Specify things to not see in the output
nsfwEM, bad-artist, bad-hands-5, bad-image-v2-39000, bad-picture-chill-75v, bad_prompt, BadDream, easynegative, FastNegativeV2, fcNeg-neg, kkw-ph1-neg, ng_deepnegative_v1_75t, rmadanegative402_sd15-neg, UnrealisticDream, verybadimagenegative_v1.3, black and white, bnw, b&w, (grey:1.3), (gray:1.3), (greyscale:1.3), (grayscale:1.3), gym, anime, cartoon, painting, girls, women, people, crowd, passer-by, passerby, passers-by, passersby, twisted body, screwed body, gay, gays, shemale, dick, penis, (hat:1.3), (headgear:1.3), (cap:1.3), (beret:1.3), glasses, covering, luggage, (horns:1.5), (evil:1.3), (devil:1.3), angel, (demon:1.3),santa,christmass, goblin, smurf, (monster:1.3), blood, mad, angry, sad, wings, ears, wings, feather, headband, band, maid, mask, flu mask, horror, (closed eyes:1.3), eyes closed, watermark, (text:1.3), logo, earrings, levelry, (teeth:1.3), (teeths:1.3), (open mouth:1.3), (tan lines:1.3), (dark shadows:1.3), (shadows:1.3), strong shadows, shawl, cloth, wrap, clothes, wearing, wears, covering, soup
num_outputs
Number of output images
4
width
Output image width
540
height
Output image height
960
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
2238860859
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
45
cfg_scale
Scale for classifier-free guidance
3
clip_skip
The number of last layers of CLIP network to skip
3
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/bf8d68b0779747d6b8da2afb061ef224/00000-2238860859.png
https://files.tungsten.run/uploads/6c804cc9d3df43a991fa07445ad721e2/00001-2238860860.png
https://files.tungsten.run/uploads/632cee8c751c4758811a528b0af1eb1c/00002-2238860861.png
https://files.tungsten.run/uploads/72b8cf27eefd4063be593d1cfaf84aff/00003-2238860862.png
Finished in 124.8 seconds
Setting up the model... Processing... Full prompt: photography of (Russian woman1.3), 40 years old, wearing cotton panties and mesh shirt, sexy attire, (looking at viewer:1.2), (in neon tokyo alley:1.2), hyper realistic texture human skin, flat lighting, (soft saturation:1.2), analog style,<lora:add_sharpness:0.7>, <lora:photoblend:0.4>, <lora:epiNoiseoffset_v2-pynoise:0.6> Full negative prompt: nsfwEM, bad-artist, bad-image-v2-39000, bad-picture-chill-75v, bad_prompt, easynegative, FastNegativeV2, fcNeg-neg, kkw-ph1-neg, ng_deepnegative_v1_75t, rmadanegative402_sd15-neg, verybadimagenegative_v1.3, black and white, bnw, b&w, (grey:1.3), (gray:1.3), (greyscale:1.3), (grayscale:1.3), gym, anime, cartoon, painting, girls, women, people, crowd, passer-by, passerby, passers-by, passersby, twisted body, screwed body, gay, gays, shemale, dick, penis, (hat:1.3), (headgear:1.3), (cap:1.3), (beret:1.3), glasses, covering, luggage, (horns:1.5), (evil:1.3), (devil:1.3), angel, (demon:1.3),santa,christmass, goblin, smurf, (monster:1.3), blood, mad, angry, sad, wings, ears, wings, feather, headband, band, maid, mask, flu mask, horror, (closed eyes:1.3), eyes closed, watermark, (text:1.3), logo, earrings, levelry, (teeth:1.3), (teeths:1.3), (open mouth:1.3), (tan lines:1.3), (dark shadows:1.3), (shadows:1.3), strong shadows, shawl, cloth, wrap, clothes, wearing, wears, covering, soup, BadDream, UnrealisticDream, bad-hands-5 Couldn't find network with name add_sharpness Couldn't find network with name photoblend Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:02<01:41, 2.30s/it] 4%|▍ | 2/45 [00:05<01:58, 2.76s/it] 7%|▋ | 3/45 [00:08<02:01, 2.89s/it] 9%|▉ | 4/45 [00:11<02:01, 2.97s/it] 11%|█ | 5/45 [00:14<02:00, 3.00s/it] 13%|█▎ | 6/45 [00:17<01:57, 3.02s/it] 16%|█▌ | 7/45 [00:20<01:53, 2.99s/it] 18%|█▊ | 8/45 [00:23<01:51, 3.01s/it] 20%|██ | 9/45 [00:26<01:48, 3.00s/it] 22%|██▏ | 10/45 [00:29<01:45, 3.01s/it] 24%|██▍ | 11/45 [00:32<01:41, 3.00s/it] 27%|██▋ | 12/45 [00:35<01:38, 2.99s/it] 29%|██▉ | 13/45 [00:38<01:34, 2.94s/it] 31%|███ | 14/45 [00:41<01:31, 2.96s/it] 33%|███▎ | 15/45 [00:44<01:28, 2.97s/it] 36%|███▌ | 16/45 [00:47<01:25, 2.94s/it] 38%|███▊ | 17/45 [00:49<01:15, 2.70s/it] 40%|████ | 18/45 [00:52<01:13, 2.70s/it] 42%|████▏ | 19/45 [00:54<01:10, 2.72s/it] 44%|████▍ | 20/45 [00:57<01:09, 2.79s/it] 47%|████▋ | 21/45 [01:00<01:07, 2.79s/it] 49%|████▉ | 22/45 [01:03<01:03, 2.78s/it] 51%|█████ | 23/45 [01:06<01:01, 2.79s/it] 53%|█████▎ | 24/45 [01:09<00:59, 2.82s/it] 56%|█████▌ | 25/45 [01:11<00:56, 2.84s/it] 58%|█████▊ | 26/45 [01:14<00:54, 2.84s/it] 60%|██████ | 27/45 [01:17<00:51, 2.86s/it] 62%|██████▏ | 28/45 [01:20<00:48, 2.85s/it] 64%|██████▍ | 29/45 [01:23<00:44, 2.81s/it] 67%|██████▋ | 30/45 [01:25<00:40, 2.73s/it] 69%|██████▉ | 31/45 [01:28<00:37, 2.68s/it] 71%|███████ | 32/45 [01:30<00:32, 2.52s/it] 73%|███████▎ | 33/45 [01:33<00:30, 2.54s/it] 76%|███████▌ | 34/45 [01:35<00:27, 2.53s/it] 78%|███████▊ | 35/45 [01:37<00:24, 2.42s/it] 80%|████████ | 36/45 [01:40<00:21, 2.38s/it] 82%|████████▏ | 37/45 [01:42<00:18, 2.30s/it] 84%|████████▍ | 38/45 [01:44<00:16, 2.30s/it] 87%|████████▋ | 39/45 [01:46<00:13, 2.20s/it] 89%|████████▉ | 40/45 [01:48<00:10, 2.10s/it] 91%|█████████ | 41/45 [01:50<00:08, 2.04s/it] 93%|█████████▎| 42/45 [01:51<00:05, 1.94s/it] 96%|█████████▌| 43/45 [01:53<00:03, 1.95s/it] 98%|█████████▊| 44/45 [01:55<00:01, 1.87s/it] 100%|██████████| 45/45 [01:56<00:00, 1.48s/it] 100%|██████████| 45/45 [01:56<00:00, 2.58s/it] Decoding latents in cuda:0... done in 0.85s Move latents to cpu... done in 0.02s Uploading outputs... Finished.