tungsten-logo
Sign In
Goth Cuties with Picx
picx:v1.0
evevalentine2017
evevalentine2017
·
Jan 5
385
Input
prompt
Specify things to see in the output
(masterpiece, best quality:1.4), solo, portrait of a cute girl, blonde, open mouth, (vampire, glowing red eyes, vampire fangs:1.05), (22 years old, petite:1.2), (subdued moonlight, backlighting, blurred night city landscape behind the window:1.1), skinny, 8k, extremely detailed face and eyes, (underwear:0.9), emotionless face, (pale skin, gothic make-up:1.15), <lora:Girl_face_3:0.3>
negative_prompt
Specify things to not see in the output
(bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo
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.
1880590318
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
27
cfg_scale
Scale for classifier-free guidance
6
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>
Girl_face_3.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)
negative_hand-neg.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/973ba2c1f2604fa68af8be42aef54322/00000-1880590318.webp
https://files.tungsten.run/uploads/846eaa34935a446c853b40b158895751/00001-1880590319.webp
https://files.tungsten.run/uploads/395de85ec7694d10bacff434e6dda185/00002-1880590320.webp
https://files.tungsten.run/uploads/85c141a2aa1e450d8a0ad488dd64a925/00003-1880590321.webp
Finished in 106.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, best quality:1.4), solo, portrait of a cute girl, blonde, open mouth, (vampire, glowing red eyes, vampire fangs:1.05), (22 years old, petite:1.2), (subdued moonlight, backlighting, blurred night city landscape behind the window:1.1), skinny, 8k, extremely detailed face and eyes, (underwear:0.9), emotionless face, (pale skin, gothic make-up:1.15), <lora:Girl_face_3:0.3> Full negative prompt: (bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo 0%| | 0/27 [00:00<?, ?it/s] 4%|▎ | 1/27 [00:01<00:50, 1.94s/it] 7%|▋ | 2/27 [00:03<00:44, 1.80s/it] 11%|█ | 3/27 [00:05<00:43, 1.81s/it] 15%|█▍ | 4/27 [00:07<00:41, 1.80s/it] 19%|█▊ | 5/27 [00:09<00:39, 1.80s/it] 22%|██▏ | 6/27 [00:10<00:38, 1.83s/it] 26%|██▌ | 7/27 [00:12<00:35, 1.78s/it] 30%|██▉ | 8/27 [00:14<00:34, 1.80s/it] 33%|███▎ | 9/27 [00:16<00:32, 1.81s/it] 37%|███▋ | 10/27 [00:17<00:30, 1.78s/it] 41%|████ | 11/27 [00:19<00:28, 1.76s/it] 44%|████▍ | 12/27 [00:21<00:26, 1.76s/it] 48%|████▊ | 13/27 [00:23<00:24, 1.78s/it] 52%|█████▏ | 14/27 [00:24<00:22, 1.71s/it] 56%|█████▌ | 15/27 [00:26<00:20, 1.69s/it] 59%|█████▉ | 16/27 [00:28<00:18, 1.71s/it] 63%|██████▎ | 17/27 [00:29<00:16, 1.67s/it] 67%|██████▋ | 18/27 [00:31<00:15, 1.67s/it] 70%|███████ | 19/27 [00:33<00:13, 1.64s/it] 74%|███████▍ | 20/27 [00:34<00:11, 1.68s/it] 78%|███████▊ | 21/27 [00:36<00:09, 1.66s/it] 81%|████████▏ | 22/27 [00:38<00:08, 1.65s/it] 85%|████████▌ | 23/27 [00:39<00:06, 1.62s/it] 89%|████████▉ | 24/27 [00:41<00:04, 1.61s/it] 93%|█████████▎| 25/27 [00:42<00:03, 1.56s/it] 96%|█████████▋| 26/27 [00:43<00:01, 1.40s/it] 100%|██████████| 27/27 [00:44<00:00, 1.17s/it] 100%|██████████| 27/27 [00:44<00:00, 1.64s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 23.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.55it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.82it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.01it/s] 31%|███ | 4/13 [00:02<00:04, 2.08it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.17it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.12it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.13it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.15it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.20it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.22it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.28it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.52it/s] 100%|██████████| 13/13 [00:05<00:00, 2.98it/s] 100%|██████████| 13/13 [00:05<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.19it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.07it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.16it/s] 31%|███ | 4/13 [00:01<00:04, 2.18it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.23it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.19it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.20it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.21it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.27it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.27it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.32it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.55it/s] 100%|██████████| 13/13 [00:05<00:00, 2.99it/s] 100%|██████████| 13/13 [00:05<00:00, 2.40it/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 0.22s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.16it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.11it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.17it/s] 31%|███ | 4/13 [00:01<00:04, 2.16it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.20it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.14it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.14it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.14it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.20it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.21it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.27it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.52it/s] 100%|██████████| 13/13 [00:05<00:00, 2.97it/s] 100%|██████████| 13/13 [00:05<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.20it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.14it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.19it/s] 31%|███ | 4/13 [00:01<00:04, 2.18it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.22it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.17it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.19it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.20it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.24it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.25it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.29it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.54it/s] 100%|██████████| 13/13 [00:05<00:00, 2.99it/s] 100%|██████████| 13/13 [00:05<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.14it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.09it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.15it/s] 31%|███ | 4/13 [00:01<00:04, 2.15it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.19it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.15it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.18it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.20it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.23it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.23it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.29it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.54it/s] 100%|██████████| 13/13 [00:05<00:00, 2.99it/s] 100%|██████████| 13/13 [00:05<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.4ms Speed: 2.7ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.17it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.11it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.18it/s] 31%|███ | 4/13 [00:01<00:04, 2.18it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.21it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.15it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.17it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.18it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.24it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.23it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.26it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.48it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.20it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.12it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.16it/s] 31%|███ | 4/13 [00:01<00:04, 2.14it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.18it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.13it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.12it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.11it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.14it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.17it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.24it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.49it/s] 100%|██████████| 13/13 [00:05<00:00, 2.87it/s] 100%|██████████| 13/13 [00:05<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.41s 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%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.11it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.08it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.15it/s] 31%|███ | 4/13 [00:01<00:04, 2.14it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.17it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.13it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.16it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.16it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.22it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.22it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.27it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.52it/s] 100%|██████████| 13/13 [00:05<00:00, 2.95it/s] 100%|██████████| 13/13 [00:05<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterpiece, best quality:1.4), solo, portrait of a cute girl, blonde, open mouth, (vampire, glowing red eyes, vampire fangs:1.05), (22 years old, petite:1.2), (subdued moonlight, backlighting, blurred night city landscape behind the window:1.1), skinny, 8k, extremely detailed face and eyes, (underwear:0.9), emotionless face, (pale skin, gothic make-up:1.15), <lora:Girl_face_3:0.3>
negative_prompt
Specify things to not see in the output
(bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo
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.
1880590318
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
27
cfg_scale
Scale for classifier-free guidance
6
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>
Girl_face_3.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)
negative_hand-neg.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/973ba2c1f2604fa68af8be42aef54322/00000-1880590318.webp
https://files.tungsten.run/uploads/846eaa34935a446c853b40b158895751/00001-1880590319.webp
https://files.tungsten.run/uploads/395de85ec7694d10bacff434e6dda185/00002-1880590320.webp
https://files.tungsten.run/uploads/85c141a2aa1e450d8a0ad488dd64a925/00003-1880590321.webp
Finished in 106.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, best quality:1.4), solo, portrait of a cute girl, blonde, open mouth, (vampire, glowing red eyes, vampire fangs:1.05), (22 years old, petite:1.2), (subdued moonlight, backlighting, blurred night city landscape behind the window:1.1), skinny, 8k, extremely detailed face and eyes, (underwear:0.9), emotionless face, (pale skin, gothic make-up:1.15), <lora:Girl_face_3:0.3> Full negative prompt: (bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo 0%| | 0/27 [00:00<?, ?it/s] 4%|▎ | 1/27 [00:01<00:50, 1.94s/it] 7%|▋ | 2/27 [00:03<00:44, 1.80s/it] 11%|█ | 3/27 [00:05<00:43, 1.81s/it] 15%|█▍ | 4/27 [00:07<00:41, 1.80s/it] 19%|█▊ | 5/27 [00:09<00:39, 1.80s/it] 22%|██▏ | 6/27 [00:10<00:38, 1.83s/it] 26%|██▌ | 7/27 [00:12<00:35, 1.78s/it] 30%|██▉ | 8/27 [00:14<00:34, 1.80s/it] 33%|███▎ | 9/27 [00:16<00:32, 1.81s/it] 37%|███▋ | 10/27 [00:17<00:30, 1.78s/it] 41%|████ | 11/27 [00:19<00:28, 1.76s/it] 44%|████▍ | 12/27 [00:21<00:26, 1.76s/it] 48%|████▊ | 13/27 [00:23<00:24, 1.78s/it] 52%|█████▏ | 14/27 [00:24<00:22, 1.71s/it] 56%|█████▌ | 15/27 [00:26<00:20, 1.69s/it] 59%|█████▉ | 16/27 [00:28<00:18, 1.71s/it] 63%|██████▎ | 17/27 [00:29<00:16, 1.67s/it] 67%|██████▋ | 18/27 [00:31<00:15, 1.67s/it] 70%|███████ | 19/27 [00:33<00:13, 1.64s/it] 74%|███████▍ | 20/27 [00:34<00:11, 1.68s/it] 78%|███████▊ | 21/27 [00:36<00:09, 1.66s/it] 81%|████████▏ | 22/27 [00:38<00:08, 1.65s/it] 85%|████████▌ | 23/27 [00:39<00:06, 1.62s/it] 89%|████████▉ | 24/27 [00:41<00:04, 1.61s/it] 93%|█████████▎| 25/27 [00:42<00:03, 1.56s/it] 96%|█████████▋| 26/27 [00:43<00:01, 1.40s/it] 100%|██████████| 27/27 [00:44<00:00, 1.17s/it] 100%|██████████| 27/27 [00:44<00:00, 1.64s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 23.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.55it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.82it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.01it/s] 31%|███ | 4/13 [00:02<00:04, 2.08it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.17it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.12it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.13it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.15it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.20it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.22it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.28it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.52it/s] 100%|██████████| 13/13 [00:05<00:00, 2.98it/s] 100%|██████████| 13/13 [00:05<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.19it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.07it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.16it/s] 31%|███ | 4/13 [00:01<00:04, 2.18it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.23it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.19it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.20it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.21it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.27it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.27it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.32it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.55it/s] 100%|██████████| 13/13 [00:05<00:00, 2.99it/s] 100%|██████████| 13/13 [00:05<00:00, 2.40it/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 0.22s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.16it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.11it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.17it/s] 31%|███ | 4/13 [00:01<00:04, 2.16it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.20it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.14it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.14it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.14it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.20it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.21it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.27it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.52it/s] 100%|██████████| 13/13 [00:05<00:00, 2.97it/s] 100%|██████████| 13/13 [00:05<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.20it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.14it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.19it/s] 31%|███ | 4/13 [00:01<00:04, 2.18it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.22it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.17it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.19it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.20it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.24it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.25it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.29it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.54it/s] 100%|██████████| 13/13 [00:05<00:00, 2.99it/s] 100%|██████████| 13/13 [00:05<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.14it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.09it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.15it/s] 31%|███ | 4/13 [00:01<00:04, 2.15it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.19it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.15it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.18it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.20it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.23it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.23it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.29it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.54it/s] 100%|██████████| 13/13 [00:05<00:00, 2.99it/s] 100%|██████████| 13/13 [00:05<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.4ms Speed: 2.7ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.17it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.11it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.18it/s] 31%|███ | 4/13 [00:01<00:04, 2.18it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.21it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.15it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.17it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.18it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.24it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.23it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.26it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.48it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.20it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.12it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.16it/s] 31%|███ | 4/13 [00:01<00:04, 2.14it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.18it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.13it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.12it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.11it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.14it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.17it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.24it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.49it/s] 100%|██████████| 13/13 [00:05<00:00, 2.87it/s] 100%|██████████| 13/13 [00:05<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.41s 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%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.11it/s] 15%|█▌ | 2/13 [00:00<00:05, 2.08it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.15it/s] 31%|███ | 4/13 [00:01<00:04, 2.14it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.17it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.13it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.16it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.16it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.22it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.22it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.27it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.52it/s] 100%|██████████| 13/13 [00:05<00:00, 2.95it/s] 100%|██████████| 13/13 [00:05<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Uploading outputs... Finished.