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Soldier Survivors with Authenticity
authenticity:v1.0
evevalentine2017
evevalentine2017
·
Jan 12
383
Input
prompt
Specify things to see in the output
1girl, standing, holding a assault_rifle, thorn camo uniform, soldier boots, combat gloves, thick thighs, large breasts, scared, blush, dark skin, tan, night, post-apocalyptic town, zombies, <lora:Bettergun_AK47_Beta_WIP:0.9>, <lora:add_detail:1>, <lora:agpt_europeanDollLikeness_v1:1>
negative_prompt
Specify things to not see in the output
EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes)
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.
3984979905
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
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Bettergun_AK47_Beta_WIP.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
agpt_europeanDollLikeness_v1.safetensors
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)
bad-picture-chill-75v.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/f4f39d4d588843feb04897150ee1629c/00000-3984979905.webp
https://files.tungsten.run/uploads/f2edb8f60a6340a39e09281da66ab1e3/00001-3984979906.webp
https://files.tungsten.run/uploads/dd6757129f67416db0e2b25027337eb4/00002-3984979907.webp
https://files.tungsten.run/uploads/dda0e36beea04b9189c8efcd69750989/00003-3984979908.webp
Finished in 159.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: 1girl, standing, holding a assault_rifle, thorn camo uniform, soldier boots, combat gloves, thick thighs, large breasts, scared, blush, dark skin, tan, night, post-apocalyptic town, zombies, <lora:Bettergun_AK47_Beta_WIP:0.9>, <lora:agpt_europeanDollLikeness_v1:1> Full negative prompt: EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes) 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:14, 1.91s/it] 5%|▌ | 2/40 [00:03<01:05, 1.72s/it] 8%|▊ | 3/40 [00:05<01:05, 1.76s/it] 10%|█ | 4/40 [00:07<01:04, 1.79s/it] 12%|█▎ | 5/40 [00:08<01:02, 1.78s/it] 15%|█▌ | 6/40 [00:10<01:00, 1.78s/it] 18%|█▊ | 7/40 [00:12<00:57, 1.73s/it] 20%|██ | 8/40 [00:13<00:54, 1.71s/it] 22%|██▎ | 9/40 [00:15<00:54, 1.77s/it] 25%|██▌ | 10/40 [00:17<00:53, 1.78s/it] 28%|██▊ | 11/40 [00:19<00:51, 1.77s/it] 30%|███ | 12/40 [00:21<00:49, 1.77s/it] 32%|███▎ | 13/40 [00:23<00:48, 1.78s/it] 35%|███▌ | 14/40 [00:24<00:46, 1.79s/it] 38%|███▊ | 15/40 [00:26<00:44, 1.79s/it] 40%|████ | 16/40 [00:28<00:42, 1.75s/it] 42%|████▎ | 17/40 [00:30<00:40, 1.75s/it] 45%|████▌ | 18/40 [00:31<00:38, 1.73s/it] 48%|████▊ | 19/40 [00:33<00:36, 1.72s/it] 50%|█████ | 20/40 [00:35<00:33, 1.70s/it] 52%|█████▎ | 21/40 [00:36<00:31, 1.64s/it] 55%|█████▌ | 22/40 [00:38<00:29, 1.66s/it] 57%|█████▊ | 23/40 [00:39<00:28, 1.68s/it] 60%|██████ | 24/40 [00:41<00:26, 1.65s/it] 62%|██████▎ | 25/40 [00:43<00:24, 1.63s/it] 65%|██████▌ | 26/40 [00:44<00:23, 1.69s/it] 68%|██████▊ | 27/40 [00:46<00:21, 1.67s/it] 70%|███████ | 28/40 [00:48<00:20, 1.67s/it] 72%|███████▎ | 29/40 [00:49<00:17, 1.61s/it] 75%|███████▌ | 30/40 [00:51<00:16, 1.61s/it] 78%|███████▊ | 31/40 [00:52<00:14, 1.62s/it] 80%|████████ | 32/40 [00:54<00:12, 1.55s/it] 82%|████████▎ | 33/40 [00:55<00:10, 1.55s/it] 85%|████████▌ | 34/40 [00:57<00:08, 1.49s/it] 88%|████████▊ | 35/40 [00:58<00:07, 1.52s/it] 90%|█████████ | 36/40 [01:00<00:05, 1.48s/it] 92%|█████████▎| 37/40 [01:01<00:04, 1.46s/it] 95%|█████████▌| 38/40 [01:02<00:02, 1.41s/it] 98%|█████████▊| 39/40 [01:03<00:01, 1.22s/it] 100%|██████████| 40/40 [01:04<00:00, 1.04s/it] 100%|██████████| 40/40 [01:04<00:00, 1.61s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 23.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.56it/s] 11%|█ | 2/19 [00:01<00:09, 1.88it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.07it/s] 21%|██ | 4/19 [00:01<00:06, 2.17it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.16it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.20it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.20it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.29it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.29it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.29it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.35it/s] 63%|██████▎ | 12/19 [00:05<00:02, 2.35it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.45it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.40it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.46it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.48it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.57it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.91it/s] 100%|██████████| 19/19 [00:07<00:00, 3.34it/s] 100%|██████████| 19/19 [00:07<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 8.7ms Speed: 5.1ms preprocess, 8.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:09, 1.96it/s] 11%|█ | 2/19 [00:00<00:08, 2.06it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.15it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.18it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.18it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.16it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.24it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.23it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.23it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.30it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.37it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.33it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.41it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.41it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.50it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.86it/s] 100%|██████████| 19/19 [00:07<00:00, 3.24it/s] 100%|██████████| 19/19 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.17it/s] 11%|█ | 2/19 [00:00<00:07, 2.18it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.23it/s] 21%|██ | 4/19 [00:01<00:06, 2.25it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.17it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.19it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.18it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.27it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.27it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.25it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.32it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.32it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.41it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.36it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.36it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.35it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.67it/s] 100%|██████████| 19/19 [00:07<00:00, 3.12it/s] 100%|██████████| 19/19 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.21it/s] 11%|█ | 2/19 [00:00<00:07, 2.18it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.23it/s] 21%|██ | 4/19 [00:01<00:06, 2.24it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.18it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.20it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.20it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.28it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.23it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.22it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.39it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.35it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.43it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.51it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.86it/s] 100%|██████████| 19/19 [00:07<00:00, 3.26it/s] 100%|██████████| 19/19 [00:07<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.17it/s] 11%|█ | 2/19 [00:00<00:07, 2.15it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.14it/s] 21%|██ | 4/19 [00:01<00:06, 2.18it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.12it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.12it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.13it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.21it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.22it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.20it/s] 58%|█████▊ | 11/19 [00:05<00:03, 2.27it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.27it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.33it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.27it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.35it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.40it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.47it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.82it/s] 100%|██████████| 19/19 [00:07<00:00, 3.24it/s] 100%|██████████| 19/19 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.11it/s] 11%|█ | 2/19 [00:00<00:08, 2.04it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.16it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.17it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.19it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.15it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.24it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.22it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.19it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.27it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.26it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.34it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.27it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.31it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.37it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.47it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.83it/s] 100%|██████████| 19/19 [00:07<00:00, 3.28it/s] 100%|██████████| 19/19 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.18it/s] 11%|█ | 2/19 [00:00<00:08, 2.10it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.09it/s] 21%|██ | 4/19 [00:01<00:06, 2.20it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.15it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.14it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.11it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.21it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.23it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.23it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.33it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.41it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.35it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.45it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.53it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.85it/s] 100%|██████████| 19/19 [00:07<00:00, 3.26it/s] 100%|██████████| 19/19 [00:07<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.09it/s] 11%|█ | 2/19 [00:00<00:07, 2.13it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.19it/s] 21%|██ | 4/19 [00:01<00:06, 2.25it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.19it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.22it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.20it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.30it/s] 47%|████▋ | 9/19 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Finished.
prompt
Specify things to see in the output
1girl, standing, holding a assault_rifle, thorn camo uniform, soldier boots, combat gloves, thick thighs, large breasts, scared, blush, dark skin, tan, night, post-apocalyptic town, zombies, <lora:Bettergun_AK47_Beta_WIP:0.9>, <lora:add_detail:1>, <lora:agpt_europeanDollLikeness_v1:1>
negative_prompt
Specify things to not see in the output
EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes)
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.
3984979905
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
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Bettergun_AK47_Beta_WIP.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
agpt_europeanDollLikeness_v1.safetensors
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)
bad-picture-chill-75v.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/f4f39d4d588843feb04897150ee1629c/00000-3984979905.webp
https://files.tungsten.run/uploads/f2edb8f60a6340a39e09281da66ab1e3/00001-3984979906.webp
https://files.tungsten.run/uploads/dd6757129f67416db0e2b25027337eb4/00002-3984979907.webp
https://files.tungsten.run/uploads/dda0e36beea04b9189c8efcd69750989/00003-3984979908.webp
Finished in 159.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: 1girl, standing, holding a assault_rifle, thorn camo uniform, soldier boots, combat gloves, thick thighs, large breasts, scared, blush, dark skin, tan, night, post-apocalyptic town, zombies, <lora:Bettergun_AK47_Beta_WIP:0.9>, <lora:agpt_europeanDollLikeness_v1:1> Full negative prompt: EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes) 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:14, 1.91s/it] 5%|▌ | 2/40 [00:03<01:05, 1.72s/it] 8%|▊ | 3/40 [00:05<01:05, 1.76s/it] 10%|█ | 4/40 [00:07<01:04, 1.79s/it] 12%|█▎ | 5/40 [00:08<01:02, 1.78s/it] 15%|█▌ | 6/40 [00:10<01:00, 1.78s/it] 18%|█▊ | 7/40 [00:12<00:57, 1.73s/it] 20%|██ | 8/40 [00:13<00:54, 1.71s/it] 22%|██▎ | 9/40 [00:15<00:54, 1.77s/it] 25%|██▌ | 10/40 [00:17<00:53, 1.78s/it] 28%|██▊ | 11/40 [00:19<00:51, 1.77s/it] 30%|███ | 12/40 [00:21<00:49, 1.77s/it] 32%|███▎ | 13/40 [00:23<00:48, 1.78s/it] 35%|███▌ | 14/40 [00:24<00:46, 1.79s/it] 38%|███▊ | 15/40 [00:26<00:44, 1.79s/it] 40%|████ | 16/40 [00:28<00:42, 1.75s/it] 42%|████▎ | 17/40 [00:30<00:40, 1.75s/it] 45%|████▌ | 18/40 [00:31<00:38, 1.73s/it] 48%|████▊ | 19/40 [00:33<00:36, 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Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 23.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.56it/s] 11%|█ | 2/19 [00:01<00:09, 1.88it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.07it/s] 21%|██ | 4/19 [00:01<00:06, 2.17it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.16it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.20it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.20it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.29it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.29it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.29it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.35it/s] 63%|██████▎ | 12/19 [00:05<00:02, 2.35it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.45it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.40it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.46it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.48it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.57it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.91it/s] 100%|██████████| 19/19 [00:07<00:00, 3.34it/s] 100%|██████████| 19/19 [00:07<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 8.7ms Speed: 5.1ms preprocess, 8.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:09, 1.96it/s] 11%|█ | 2/19 [00:00<00:08, 2.06it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.15it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.18it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.18it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.16it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.24it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.23it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.23it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.30it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.37it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.33it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.41it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.41it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.50it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.86it/s] 100%|██████████| 19/19 [00:07<00:00, 3.24it/s] 100%|██████████| 19/19 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.17it/s] 11%|█ | 2/19 [00:00<00:07, 2.18it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.23it/s] 21%|██ | 4/19 [00:01<00:06, 2.25it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.17it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.19it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.18it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.27it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.27it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.25it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.32it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.32it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.41it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.36it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.36it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.35it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.67it/s] 100%|██████████| 19/19 [00:07<00:00, 3.12it/s] 100%|██████████| 19/19 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.21it/s] 11%|█ | 2/19 [00:00<00:07, 2.18it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.23it/s] 21%|██ | 4/19 [00:01<00:06, 2.24it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.18it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.20it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.20it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.28it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.23it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.22it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.39it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.35it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.43it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.51it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.86it/s] 100%|██████████| 19/19 [00:07<00:00, 3.26it/s] 100%|██████████| 19/19 [00:07<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.17it/s] 11%|█ | 2/19 [00:00<00:07, 2.15it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.14it/s] 21%|██ | 4/19 [00:01<00:06, 2.18it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.12it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.12it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.13it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.21it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.22it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.20it/s] 58%|█████▊ | 11/19 [00:05<00:03, 2.27it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.27it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.33it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.27it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.35it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.40it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.47it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.82it/s] 100%|██████████| 19/19 [00:07<00:00, 3.24it/s] 100%|██████████| 19/19 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.11it/s] 11%|█ | 2/19 [00:00<00:08, 2.04it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.16it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.17it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.19it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.15it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.24it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.22it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.19it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.27it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.26it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.34it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.27it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.31it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.37it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.47it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.83it/s] 100%|██████████| 19/19 [00:07<00:00, 3.28it/s] 100%|██████████| 19/19 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.18it/s] 11%|█ | 2/19 [00:00<00:08, 2.10it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.09it/s] 21%|██ | 4/19 [00:01<00:06, 2.20it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.15it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.14it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.11it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.21it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.23it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.23it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.33it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.41it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.35it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.45it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.53it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.85it/s] 100%|██████████| 19/19 [00:07<00:00, 3.26it/s] 100%|██████████| 19/19 [00:07<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.09it/s] 11%|█ | 2/19 [00:00<00:07, 2.13it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.19it/s] 21%|██ | 4/19 [00:01<00:06, 2.25it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.19it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.22it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.20it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.30it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.30it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.29it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.38it/s] 63%|██████▎ | 12/19 [00:05<00:02, 2.37it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.44it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.39it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.46it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.49it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.57it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.92it/s] 100%|██████████| 19/19 [00:07<00:00, 3.35it/s] 100%|██████████| 19/19 [00:07<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.15it/s] 11%|█ | 2/19 [00:00<00:07, 2.16it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.19it/s] 21%|██ | 4/19 [00:01<00:06, 2.25it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.16it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.18it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.17it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.27it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.26it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.23it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.22it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.21it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.31it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.28it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.32it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.36it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.46it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.79it/s] 100%|██████████| 19/19 [00:07<00:00, 3.23it/s] 100%|██████████| 19/19 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.