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Cute Hats by the Beach with Coma
coma:v2.0
evevalentine2017
evevalentine2017
·
12/20/2023
334
Input
prompt
Specify things to see in the output
1girl, nsfw, intricate detail, 8k resolution, esthetic caucasian 18yo girl, Walking with arms swinging freely by the sides., long hair, detailed eyes, perfect hands, Beach Boho: Crochet cover-up, straw hat, and gladiator sandals., Smile expression, Waist Chain Belt, Majestic canyon with towering rock formations and a winding river, volumetric light, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
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.
2017248719
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
28
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_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>
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.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/c5281d561c094c3eb7892f3e385b60a9/00000-2017248719.webp
https://files.tungsten.run/uploads/8ffbca76d1a9476a8f59165a05513185/00001-2017248720.webp
https://files.tungsten.run/uploads/7f3a5c56dcfc42ecbe246867cd93a1c4/00002-2017248721.webp
https://files.tungsten.run/uploads/c1b03f6dc36c4e93a127e9705e80dc64/00003-2017248722.webp
Finished in 81.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: 1girl, nsfw, intricate detail, 8k resolution, esthetic caucasian 18yo girl, Walking with arms swinging freely by the sides., long hair, detailed eyes, perfect hands, Beach Boho: Crochet cover-up, straw hat, and gladiator sandals., Smile expression, Waist Chain Belt, Majestic canyon with towering rock formations and a winding river, volumetric light, <lora:add_brightness:0.2> Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:33, 1.24s/it] 7%|▋ | 2/28 [00:01<00:22, 1.16it/s] 11%|█ | 3/28 [00:02<00:18, 1.34it/s] 14%|█▍ | 4/28 [00:03<00:16, 1.45it/s] 18%|█▊ | 5/28 [00:03<00:15, 1.51it/s] 21%|██▏ | 6/28 [00:04<00:14, 1.56it/s] 25%|██▌ | 7/28 [00:04<00:13, 1.58it/s] 29%|██▊ | 8/28 [00:05<00:12, 1.61it/s] 32%|███▏ | 9/28 [00:06<00:11, 1.62it/s] 36%|███▌ | 10/28 [00:06<00:11, 1.63it/s] 39%|███▉ | 11/28 [00:07<00:10, 1.64it/s] 43%|████▎ | 12/28 [00:07<00:09, 1.64it/s] 46%|████▋ | 13/28 [00:08<00:09, 1.64it/s] 50%|█████ | 14/28 [00:09<00:08, 1.64it/s] 54%|█████▎ | 15/28 [00:09<00:07, 1.65it/s] 57%|█████▋ | 16/28 [00:10<00:07, 1.64it/s] 61%|██████ | 17/28 [00:10<00:06, 1.65it/s] 64%|██████▍ | 18/28 [00:11<00:06, 1.64it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.64it/s] 71%|███████▏ | 20/28 [00:12<00:04, 1.64it/s] 75%|███████▌ | 21/28 [00:13<00:04, 1.64it/s] 79%|███████▊ | 22/28 [00:13<00:03, 1.64it/s] 82%|████████▏ | 23/28 [00:14<00:03, 1.64it/s] 86%|████████▌ | 24/28 [00:15<00:02, 1.65it/s] 89%|████████▉ | 25/28 [00:15<00:01, 1.65it/s] 93%|█████████▎| 26/28 [00:16<00:01, 1.65it/s] 96%|█████████▋| 27/28 [00:17<00:00, 1.65it/s] 100%|██████████| 28/28 [00:17<00:00, 1.64it/s] 100%|██████████| 28/28 [00:17<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 4.5ms preprocess, 7.7ms inference, 34.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:06, 2.37it/s] 12%|█▎ | 2/16 [00:00<00:04, 3.43it/s] 19%|█▉ | 3/16 [00:00<00:03, 3.99it/s] 25%|██▌ | 4/16 [00:01<00:02, 4.32it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.55it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.70it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.80it/s] 50%|█████ | 8/16 [00:01<00:01, 4.86it/s] 56%|█████▋ | 9/16 [00:02<00:01, 4.88it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.93it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.95it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.97it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.93it/s] 88%|████████▊ | 14/16 [00:03<00:00, 4.87it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.95it/s] 100%|██████████| 16/16 [00:03<00:00, 4.99it/s] 100%|██████████| 16/16 [00:03<00:00, 4.66it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.73it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.89it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.93it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.85it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.89it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.90it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.85it/s] 50%|█████ | 8/16 [00:01<00:01, 4.83it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.78it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.80it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.85it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.87it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.89it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.77it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.82it/s] 100%|██████████| 16/16 [00:03<00:00, 4.89it/s] 100%|██████████| 16/16 [00:03<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.92it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.98it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.92it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.81it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.87it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.78it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.84it/s] 50%|█████ | 8/16 [00:01<00:01, 4.90it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.92it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.85it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.90it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.95it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.96it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.99it/s] 94%|█████████▍| 15/16 [00:03<00:00, 5.01it/s] 100%|██████████| 16/16 [00:03<00:00, 4.90it/s] 100%|██████████| 16/16 [00:03<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.02it/s] 12%|█▎ | 2/16 [00:00<00:02, 5.05it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.05it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.98it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.86it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.92it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.95it/s] 50%|█████ | 8/16 [00:01<00:01, 4.95it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.95it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.98it/s] 69%|██████▉ | 11/16 [00:02<00:00, 5.01it/s] 75%|███████▌ | 12/16 [00:02<00:00, 5.01it/s] 81%|████████▏ | 13/16 [00:02<00:00, 5.02it/s] 88%|████████▊ | 14/16 [00:02<00:00, 5.01it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.96it/s] 100%|██████████| 16/16 [00:03<00:00, 4.86it/s] 100%|██████████| 16/16 [00:03<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.22s Move latents to cpu... done in 0.0s 0: 640x640 5 hands, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.00it/s] 12%|█▎ | 2/16 [00:00<00:02, 5.00it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.96it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.01it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.97it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.99it/s] 44%|████▍ | 7/16 [00:01<00:01, 5.01it/s] 50%|█████ | 8/16 [00:01<00:01, 5.05it/s] 56%|█████▋ | 9/16 [00:01<00:01, 5.03it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.94it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.96it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.98it/s] 81%|████████▏ | 13/16 [00:02<00:00, 5.02it/s] 88%|████████▊ | 14/16 [00:02<00:00, 5.02it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.96it/s] 100%|██████████| 16/16 [00:03<00:00, 4.88it/s] 100%|██████████| 16/16 [00:03<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.48it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.78it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.86it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.93it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.97it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.93it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.98it/s] 50%|█████ | 8/16 [00:01<00:01, 4.88it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.87it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.91it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.79it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.84it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.91it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.95it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.98it/s] 100%|██████████| 16/16 [00:03<00:00, 4.89it/s] 100%|██████████| 16/16 [00:03<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.22s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.01it/s] 12%|█▎ | 2/16 [00:00<00:02, 5.07it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.95it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.98it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.98it/s] 38%|███▊ | 6/16 [00:01<00:01, 5.01it/s] 44%|████▍ | 7/16 [00:01<00:01, 5.03it/s] 50%|█████ | 8/16 [00:01<00:01, 4.95it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.93it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.95it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.98it/s] 75%|███████▌ | 12/16 [00:02<00:00, 5.00it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.96it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.98it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.97it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] 100%|██████████| 16/16 [00:03<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.98it/s] 12%|█▎ | 2/16 [00:00<00:02, 5.05it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.05it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.02it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.89it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.93it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.98it/s] 50%|█████ | 8/16 [00:01<00:01, 5.00it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.99it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.91it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.95it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.94it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.95it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.95it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.96it/s] 100%|██████████| 16/16 [00:03<00:00, 4.97it/s] 100%|██████████| 16/16 [00:03<00:00, 4.97it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.44s Move latents to cpu... done in 0.21s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 5.00it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.99it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.00it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.01it/s] 31%|███▏ | 5/16 [00:01<00:02, 5.00it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.97it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.99it/s] 50%|█████ | 8/16 [00:01<00:01, 5.00it/s] 56%|█████▋ | 9/16 [00:01<00:01, 5.01it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.96it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.97it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.99it/s] 81%|████████▏ | 13/16 [00:02<00:00, 5.01it/s] 88%|████████▊ | 14/16 [00:02<00:00, 5.01it/s] 94%|█████████▍| 15/16 [00:03<00:00, 5.00it/s] 100%|██████████| 16/16 [00:03<00:00, 5.02it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.93it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.98it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.87it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.90it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.93it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.94it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.73it/s] 50%|█████ | 8/16 [00:01<00:01, 4.68it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.79it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.80it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.90it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.88it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.86it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.91it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.95it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] 100%|██████████| 16/16 [00:03<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.02it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.98it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.01it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.02it/s] 31%|███▏ | 5/16 [00:00<00:02, 5.01it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.96it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.98it/s] 50%|█████ | 8/16 [00:01<00:01, 5.00it/s] 56%|█████▋ | 9/16 [00:01<00:01, 5.00it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.98it/s] 69%|██████▉ | 11/16 [00:02<00:00, 5.02it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.95it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.97it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.97it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.99it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] 100%|██████████| 16/16 [00:03<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.98it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.85it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.87it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.92it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.93it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.91it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.92it/s] 50%|█████ | 8/16 [00:01<00:01, 4.90it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.93it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.95it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.97it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.99it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.93it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.96it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.99it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] 100%|██████████| 16/16 [00:03<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.03it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.90it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.94it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.84it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.92it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.86it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.73it/s] 50%|█████ | 8/16 [00:01<00:01, 4.80it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.87it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.91it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.89it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.75it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.79it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.82it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.83it/s] 100%|██████████| 16/16 [00:03<00:00, 4.81it/s] 100%|██████████| 16/16 [00:03<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt
Specify things to see in the output
1girl, nsfw, intricate detail, 8k resolution, esthetic caucasian 18yo girl, Walking with arms swinging freely by the sides., long hair, detailed eyes, perfect hands, Beach Boho: Crochet cover-up, straw hat, and gladiator sandals., Smile expression, Waist Chain Belt, Majestic canyon with towering rock formations and a winding river, volumetric light, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
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.
2017248719
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
28
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_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>
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.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/c5281d561c094c3eb7892f3e385b60a9/00000-2017248719.webp
https://files.tungsten.run/uploads/8ffbca76d1a9476a8f59165a05513185/00001-2017248720.webp
https://files.tungsten.run/uploads/7f3a5c56dcfc42ecbe246867cd93a1c4/00002-2017248721.webp
https://files.tungsten.run/uploads/c1b03f6dc36c4e93a127e9705e80dc64/00003-2017248722.webp
Finished in 81.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: 1girl, nsfw, intricate detail, 8k resolution, esthetic caucasian 18yo girl, Walking with arms swinging freely by the sides., long hair, detailed eyes, perfect hands, Beach Boho: Crochet cover-up, straw hat, and gladiator sandals., Smile expression, Waist Chain Belt, Majestic canyon with towering rock formations and a winding river, volumetric light, <lora:add_brightness:0.2> Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:33, 1.24s/it] 7%|▋ | 2/28 [00:01<00:22, 1.16it/s] 11%|█ | 3/28 [00:02<00:18, 1.34it/s] 14%|█▍ | 4/28 [00:03<00:16, 1.45it/s] 18%|█▊ | 5/28 [00:03<00:15, 1.51it/s] 21%|██▏ | 6/28 [00:04<00:14, 1.56it/s] 25%|██▌ | 7/28 [00:04<00:13, 1.58it/s] 29%|██▊ | 8/28 [00:05<00:12, 1.61it/s] 32%|███▏ | 9/28 [00:06<00:11, 1.62it/s] 36%|███▌ | 10/28 [00:06<00:11, 1.63it/s] 39%|███▉ | 11/28 [00:07<00:10, 1.64it/s] 43%|████▎ | 12/28 [00:07<00:09, 1.64it/s] 46%|████▋ | 13/28 [00:08<00:09, 1.64it/s] 50%|█████ | 14/28 [00:09<00:08, 1.64it/s] 54%|█████▎ | 15/28 [00:09<00:07, 1.65it/s] 57%|█████▋ | 16/28 [00:10<00:07, 1.64it/s] 61%|██████ | 17/28 [00:10<00:06, 1.65it/s] 64%|██████▍ | 18/28 [00:11<00:06, 1.64it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.64it/s] 71%|███████▏ | 20/28 [00:12<00:04, 1.64it/s] 75%|███████▌ | 21/28 [00:13<00:04, 1.64it/s] 79%|███████▊ | 22/28 [00:13<00:03, 1.64it/s] 82%|████████▏ | 23/28 [00:14<00:03, 1.64it/s] 86%|████████▌ | 24/28 [00:15<00:02, 1.65it/s] 89%|████████▉ | 25/28 [00:15<00:01, 1.65it/s] 93%|█████████▎| 26/28 [00:16<00:01, 1.65it/s] 96%|█████████▋| 27/28 [00:17<00:00, 1.65it/s] 100%|██████████| 28/28 [00:17<00:00, 1.64it/s] 100%|██████████| 28/28 [00:17<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 4.5ms preprocess, 7.7ms inference, 34.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:06, 2.37it/s] 12%|█▎ | 2/16 [00:00<00:04, 3.43it/s] 19%|█▉ | 3/16 [00:00<00:03, 3.99it/s] 25%|██▌ | 4/16 [00:01<00:02, 4.32it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.55it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.70it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.80it/s] 50%|█████ | 8/16 [00:01<00:01, 4.86it/s] 56%|█████▋ | 9/16 [00:02<00:01, 4.88it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.93it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.95it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.97it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.93it/s] 88%|████████▊ | 14/16 [00:03<00:00, 4.87it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.95it/s] 100%|██████████| 16/16 [00:03<00:00, 4.99it/s] 100%|██████████| 16/16 [00:03<00:00, 4.66it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.73it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.89it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.93it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.85it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.89it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.90it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.85it/s] 50%|█████ | 8/16 [00:01<00:01, 4.83it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.78it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.80it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.85it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.87it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.89it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.77it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.82it/s] 100%|██████████| 16/16 [00:03<00:00, 4.89it/s] 100%|██████████| 16/16 [00:03<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.92it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.98it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.92it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.81it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.87it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.78it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.84it/s] 50%|█████ | 8/16 [00:01<00:01, 4.90it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.92it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.85it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.90it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.95it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.96it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.99it/s] 94%|█████████▍| 15/16 [00:03<00:00, 5.01it/s] 100%|██████████| 16/16 [00:03<00:00, 4.90it/s] 100%|██████████| 16/16 [00:03<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.02it/s] 12%|█▎ | 2/16 [00:00<00:02, 5.05it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.05it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.98it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.86it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.92it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.95it/s] 50%|█████ | 8/16 [00:01<00:01, 4.95it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.95it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.98it/s] 69%|██████▉ | 11/16 [00:02<00:00, 5.01it/s] 75%|███████▌ | 12/16 [00:02<00:00, 5.01it/s] 81%|████████▏ | 13/16 [00:02<00:00, 5.02it/s] 88%|████████▊ | 14/16 [00:02<00:00, 5.01it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.96it/s] 100%|██████████| 16/16 [00:03<00:00, 4.86it/s] 100%|██████████| 16/16 [00:03<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.22s Move latents to cpu... done in 0.0s 0: 640x640 5 hands, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.00it/s] 12%|█▎ | 2/16 [00:00<00:02, 5.00it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.96it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.01it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.97it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.99it/s] 44%|████▍ | 7/16 [00:01<00:01, 5.01it/s] 50%|█████ | 8/16 [00:01<00:01, 5.05it/s] 56%|█████▋ | 9/16 [00:01<00:01, 5.03it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.94it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.96it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.98it/s] 81%|████████▏ | 13/16 [00:02<00:00, 5.02it/s] 88%|████████▊ | 14/16 [00:02<00:00, 5.02it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.96it/s] 100%|██████████| 16/16 [00:03<00:00, 4.88it/s] 100%|██████████| 16/16 [00:03<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.48it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.78it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.86it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.93it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.97it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.93it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.98it/s] 50%|█████ | 8/16 [00:01<00:01, 4.88it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.87it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.91it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.79it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.84it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.91it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.95it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.98it/s] 100%|██████████| 16/16 [00:03<00:00, 4.89it/s] 100%|██████████| 16/16 [00:03<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.22s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.01it/s] 12%|█▎ | 2/16 [00:00<00:02, 5.07it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.95it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.98it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.98it/s] 38%|███▊ | 6/16 [00:01<00:01, 5.01it/s] 44%|████▍ | 7/16 [00:01<00:01, 5.03it/s] 50%|█████ | 8/16 [00:01<00:01, 4.95it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.93it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.95it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.98it/s] 75%|███████▌ | 12/16 [00:02<00:00, 5.00it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.96it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.98it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.97it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] 100%|██████████| 16/16 [00:03<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.98it/s] 12%|█▎ | 2/16 [00:00<00:02, 5.05it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.05it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.02it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.89it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.93it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.98it/s] 50%|█████ | 8/16 [00:01<00:01, 5.00it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.99it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.91it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.95it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.94it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.95it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.95it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.96it/s] 100%|██████████| 16/16 [00:03<00:00, 4.97it/s] 100%|██████████| 16/16 [00:03<00:00, 4.97it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.44s Move latents to cpu... done in 0.21s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 5.00it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.99it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.00it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.01it/s] 31%|███▏ | 5/16 [00:01<00:02, 5.00it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.97it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.99it/s] 50%|█████ | 8/16 [00:01<00:01, 5.00it/s] 56%|█████▋ | 9/16 [00:01<00:01, 5.01it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.96it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.97it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.99it/s] 81%|████████▏ | 13/16 [00:02<00:00, 5.01it/s] 88%|████████▊ | 14/16 [00:02<00:00, 5.01it/s] 94%|█████████▍| 15/16 [00:03<00:00, 5.00it/s] 100%|██████████| 16/16 [00:03<00:00, 5.02it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.93it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.98it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.87it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.90it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.93it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.94it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.73it/s] 50%|█████ | 8/16 [00:01<00:01, 4.68it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.79it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.80it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.90it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.88it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.86it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.91it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.95it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] 100%|██████████| 16/16 [00:03<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.02it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.98it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.01it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.02it/s] 31%|███▏ | 5/16 [00:00<00:02, 5.01it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.96it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.98it/s] 50%|█████ | 8/16 [00:01<00:01, 5.00it/s] 56%|█████▋ | 9/16 [00:01<00:01, 5.00it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.98it/s] 69%|██████▉ | 11/16 [00:02<00:00, 5.02it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.95it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.97it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.97it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.99it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] 100%|██████████| 16/16 [00:03<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.98it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.85it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.87it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.92it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.93it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.91it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.92it/s] 50%|█████ | 8/16 [00:01<00:01, 4.90it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.93it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.95it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.97it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.99it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.93it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.96it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.99it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] 100%|██████████| 16/16 [00:03<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.03it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.90it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.94it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.84it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.92it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.86it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.73it/s] 50%|█████ | 8/16 [00:01<00:01, 4.80it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.87it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.91it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.89it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.75it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.79it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.82it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.83it/s] 100%|██████████| 16/16 [00:03<00:00, 4.81it/s] 100%|██████████| 16/16 [00:03<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.