glow
glow
3 stars
Version: v2.5
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
num_outputs
Number of output images
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
width
Output image width
height
Output image height
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/700efa806a974e04bca837463b1af277/00000-3149113134.png
https://files.tungsten.run/uploads/de6f8e53319542c3a49c0e0879e682ff/00001-3149113135.png
https://files.tungsten.run/uploads/51790555d07c4560ab164fc7fee0a244/00002-3149113136.png
https://files.tungsten.run/uploads/e2cf1efa20674af8a5fe2906bdcb3c05/00003-3149113137.png
This example was created by evevalentine2017
Finished in 45.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (absurdres, highres, ultra detailed), 1woman, mature female, aged up, long hair, blonde hair, turquoise eyes, bangs, long sleeves, finely detailed eyes and detailed face, extremely detailed CG unity 8k wallpaper, intricate details, looking down, solo, upper body, detailed face, determined expression, bronze age, (ancient roman theme:1.1), roman mythology, height of ancient rome, Roman republic, Pompei, aqueducts, deity of war, white simple armor, ancient theme, (flourishing civilization:1.1), pristine white marble, (intact:1.1), mediterranean landscape, valleys from above in background, majestic atmosphere, floating bronze particles,, portrait, wind swirling, <lora:FaceBeauty_qinglong_V3:1.5> Full negative prompt: EasyNegativeV2, (aged down:1.4, teenage:1.4, nsfw:1.4, blush, worst quality, low quality:1.4, blurry:1.4, bad-hands-5), multiple views, multiple panels, (text, signature, artist name, watermark) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:28, 1.23s/it] 8%|▊ | 2/24 [00:01<00:18, 1.16it/s] 12%|█▎ | 3/24 [00:02<00:15, 1.34it/s] 17%|█▋ | 4/24 [00:03<00:13, 1.45it/s] 21%|██ | 5/24 [00:03<00:12, 1.52it/s] 25%|██▌ | 6/24 [00:04<00:11, 1.55it/s] 29%|██▉ | 7/24 [00:04<00:10, 1.58it/s] 33%|███▎ | 8/24 [00:05<00:09, 1.60it/s] 38%|███▊ | 9/24 [00:06<00:09, 1.61it/s] 42%|████▏ | 10/24 [00:06<00:08, 1.63it/s] 46%|████▌ | 11/24 [00:07<00:07, 1.63it/s] 50%|█████ | 12/24 [00:07<00:07, 1.64it/s] 54%|█████▍ | 13/24 [00:08<00:06, 1.64it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.64it/s] 62%|██████▎ | 15/24 [00:09<00:05, 1.64it/s] 67%|██████▋ | 16/24 [00:10<00:04, 1.64it/s] 71%|███████ | 17/24 [00:10<00:04, 1.64it/s] 75%|███████▌ | 18/24 [00:11<00:03, 1.64it/s] 79%|███████▉ | 19/24 [00:12<00:03, 1.64it/s] 83%|████████▎ | 20/24 [00:12<00:02, 1.64it/s] 88%|████████▊ | 21/24 [00:13<00:01, 1.64it/s] 92%|█████████▏| 22/24 [00:14<00:01, 1.64it/s] 96%|█████████▌| 23/24 [00:14<00:00, 1.64it/s] 100%|██████████| 24/24 [00:15<00:00, 1.64it/s] 100%|██████████| 24/24 [00:15<00:00, 1.58it/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: 4.4ms preprocess, 7.7ms inference, 33.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.54it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.52it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.09it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.44it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.65it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.76it/s] 50%|█████ | 7/14 [00:01<00:01, 4.85it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.92it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.97it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.98it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.96it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.99it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [00:03<00:00, 4.89it/s] 100%|██████████| 14/14 [00:03<00:00, 4.66it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.67it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.84it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.93it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.93it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.96it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.96it/s] 50%|█████ | 7/14 [00:01<00:01, 4.96it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.00it/s] 64%|██████▍ | 9/14 [00:01<00:00, 5.03it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.99it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.93it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.87it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.91it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 5.05it/s] 14%|█▍ | 2/14 [00:00<00:02, 5.04it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.98it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.00it/s] 36%|███▌ | 5/14 [00:00<00:01, 5.02it/s] 43%|████▎ | 6/14 [00:01<00:01, 5.04it/s] 50%|█████ | 7/14 [00:01<00:01, 5.04it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.05it/s] 64%|██████▍ | 9/14 [00:01<00:00, 5.04it/s] 71%|███████▏ | 10/14 [00:01<00:00, 5.04it/s] 79%|███████▊ | 11/14 [00:02<00:00, 5.06it/s] 86%|████████▌ | 12/14 [00:02<00:00, 5.03it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.03it/s] 100%|██████████| 14/14 [00:02<00:00, 5.07it/s] 100%|██████████| 14/14 [00:02<00:00, 5.04it/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%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 5.13it/s] 14%|█▍ | 2/14 [00:00<00:02, 5.09it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.08it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.08it/s] 36%|███▌ | 5/14 [00:00<00:01, 5.08it/s] 43%|████▎ | 6/14 [00:01<00:01, 5.07it/s] 50%|█████ | 7/14 [00:01<00:01, 4.97it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.96it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.99it/s] 71%|███████▏ | 10/14 [00:01<00:00, 5.01it/s] 79%|███████▊ | 11/14 [00:02<00:00, 5.00it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.99it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.99it/s] 100%|██████████| 14/14 [00:02<00:00, 4.93it/s] 100%|██████████| 14/14 [00:02<00:00, 5.00it/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 0.43s Move latents to cpu... done in 0.22s 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms 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, 8.2ms Speed: 2.9ms preprocess, 8.2ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.94it/s] 14%|█▍ | 2/14 [00:00<00:02, 5.00it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.92it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.85it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.85it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.91it/s] 50%|█████ | 7/14 [00:01<00:01, 4.94it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.90it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.94it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.96it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.96it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.99it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.02it/s] 100%|██████████| 14/14 [00:02<00:00, 5.04it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 0.8ms 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
negative_prompt
Specify things to not see in the output
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
num_outputs
Number of output images
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
width
Output image width
height
Output image height
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
https://files.tungsten.run/uploads/700efa806a974e04bca837463b1af277/00000-3149113134.png
https://files.tungsten.run/uploads/de6f8e53319542c3a49c0e0879e682ff/00001-3149113135.png
https://files.tungsten.run/uploads/51790555d07c4560ab164fc7fee0a244/00002-3149113136.png
https://files.tungsten.run/uploads/e2cf1efa20674af8a5fe2906bdcb3c05/00003-3149113137.png
This example was created by evevalentine2017
Finished in 45.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (absurdres, highres, ultra detailed), 1woman, mature female, aged up, long hair, blonde hair, turquoise eyes, bangs, long sleeves, finely detailed eyes and detailed face, extremely detailed CG unity 8k wallpaper, intricate details, looking down, solo, upper body, detailed face, determined expression, bronze age, (ancient roman theme:1.1), roman mythology, height of ancient rome, Roman republic, Pompei, aqueducts, deity of war, white simple armor, ancient theme, (flourishing civilization:1.1), pristine white marble, (intact:1.1), mediterranean landscape, valleys from above in background, majestic atmosphere, floating bronze particles,, portrait, wind swirling, <lora:FaceBeauty_qinglong_V3:1.5> Full negative prompt: EasyNegativeV2, (aged down:1.4, teenage:1.4, nsfw:1.4, blush, worst quality, low quality:1.4, blurry:1.4, bad-hands-5), multiple views, multiple panels, (text, signature, artist name, watermark) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:28, 1.23s/it] 8%|▊ | 2/24 [00:01<00:18, 1.16it/s] 12%|█▎ | 3/24 [00:02<00:15, 1.34it/s] 17%|█▋ | 4/24 [00:03<00:13, 1.45it/s] 21%|██ | 5/24 [00:03<00:12, 1.52it/s] 25%|██▌ | 6/24 [00:04<00:11, 1.55it/s] 29%|██▉ | 7/24 [00:04<00:10, 1.58it/s] 33%|███▎ | 8/24 [00:05<00:09, 1.60it/s] 38%|███▊ | 9/24 [00:06<00:09, 1.61it/s] 42%|████▏ | 10/24 [00:06<00:08, 1.63it/s] 46%|████▌ | 11/24 [00:07<00:07, 1.63it/s] 50%|█████ | 12/24 [00:07<00:07, 1.64it/s] 54%|█████▍ | 13/24 [00:08<00:06, 1.64it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.64it/s] 62%|██████▎ | 15/24 [00:09<00:05, 1.64it/s] 67%|██████▋ | 16/24 [00:10<00:04, 1.64it/s] 71%|███████ | 17/24 [00:10<00:04, 1.64it/s] 75%|███████▌ | 18/24 [00:11<00:03, 1.64it/s] 79%|███████▉ | 19/24 [00:12<00:03, 1.64it/s] 83%|████████▎ | 20/24 [00:12<00:02, 1.64it/s] 88%|████████▊ | 21/24 [00:13<00:01, 1.64it/s] 92%|█████████▏| 22/24 [00:14<00:01, 1.64it/s] 96%|█████████▌| 23/24 [00:14<00:00, 1.64it/s] 100%|██████████| 24/24 [00:15<00:00, 1.64it/s] 100%|██████████| 24/24 [00:15<00:00, 1.58it/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: 4.4ms preprocess, 7.7ms inference, 33.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.54it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.52it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.09it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.44it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.65it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.76it/s] 50%|█████ | 7/14 [00:01<00:01, 4.85it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.92it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.97it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.98it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.96it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.99it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [00:03<00:00, 4.89it/s] 100%|██████████| 14/14 [00:03<00:00, 4.66it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.67it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.84it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.93it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.93it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.96it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.96it/s] 50%|█████ | 7/14 [00:01<00:01, 4.96it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.00it/s] 64%|██████▍ | 9/14 [00:01<00:00, 5.03it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.99it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.93it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.87it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.91it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] 100%|██████████| 14/14 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 5.05it/s] 14%|█▍ | 2/14 [00:00<00:02, 5.04it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.98it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.00it/s] 36%|███▌ | 5/14 [00:00<00:01, 5.02it/s] 43%|████▎ | 6/14 [00:01<00:01, 5.04it/s] 50%|█████ | 7/14 [00:01<00:01, 5.04it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.05it/s] 64%|██████▍ | 9/14 [00:01<00:00, 5.04it/s] 71%|███████▏ | 10/14 [00:01<00:00, 5.04it/s] 79%|███████▊ | 11/14 [00:02<00:00, 5.06it/s] 86%|████████▌ | 12/14 [00:02<00:00, 5.03it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.03it/s] 100%|██████████| 14/14 [00:02<00:00, 5.07it/s] 100%|██████████| 14/14 [00:02<00:00, 5.04it/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%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 5.13it/s] 14%|█▍ | 2/14 [00:00<00:02, 5.09it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.08it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.08it/s] 36%|███▌ | 5/14 [00:00<00:01, 5.08it/s] 43%|████▎ | 6/14 [00:01<00:01, 5.07it/s] 50%|█████ | 7/14 [00:01<00:01, 4.97it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.96it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.99it/s] 71%|███████▏ | 10/14 [00:01<00:00, 5.01it/s] 79%|███████▊ | 11/14 [00:02<00:00, 5.00it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.99it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.99it/s] 100%|██████████| 14/14 [00:02<00:00, 4.93it/s] 100%|██████████| 14/14 [00:02<00:00, 5.00it/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 0.43s Move latents to cpu... done in 0.22s 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms 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, 8.2ms Speed: 2.9ms preprocess, 8.2ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.94it/s] 14%|█▍ | 2/14 [00:00<00:02, 5.00it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.92it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.85it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.85it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.91it/s] 50%|█████ | 7/14 [00:01<00:01, 4.94it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.90it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.94it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.96it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.96it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.99it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.02it/s] 100%|██████████| 14/14 [00:02<00:00, 5.04it/s] 100%|██████████| 14/14 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.