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Elder Couple with PhotoPedia XL
photopedia-xl:v4.5
evevalentine2017
evevalentine2017
·
Feb 7
350
Input
prompt
Specify things to see in the output
Masterpiece, closeup, hd, 8K, Fantasy art, award winning drawing of a old male farmer and a old female farmer in a windy landscape helping each other walking, rugged clothes romantic, storm in background, back view, intricate details, Fantastical realism, fandist
negative_prompt
Specify things to not see in the output
desaturated, nsfw. low res. bad anatomy, monochrome
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
308170926
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++ 2S a Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/574e9e37eda64410a2fcfeffe9a9152f/00000-308170926.webp
https://files.tungsten.run/uploads/acb4420e1d2c411a8fcfb02005ae72ff/00001-308170927.webp
https://files.tungsten.run/uploads/b6445c3116cf4cf4afa009d33d8ddd61/00002-308170928.webp
Finished in 148.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Masterpiece, closeup, hd, 8K, Fantasy art, award winning drawing of a old male farmer and a old female farmer in a windy landscape helping each other walking, rugged clothes romantic, storm in background, back view, intricate details, Fantastical realism, fandist Full negative prompt: desaturated, nsfw. low res. bad anatomy, monochrome 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:15, 1.94s/it] 5%|▌ | 2/40 [00:03<01:14, 1.95s/it] 8%|▊ | 3/40 [00:05<01:12, 1.96s/it] 10%|█ | 4/40 [00:07<01:10, 1.96s/it] 12%|█▎ | 5/40 [00:09<01:08, 1.97s/it] 15%|█▌ | 6/40 [00:11<01:07, 1.98s/it] 18%|█▊ | 7/40 [00:13<01:05, 1.98s/it] 20%|██ | 8/40 [00:15<01:03, 1.99s/it] 22%|██▎ | 9/40 [00:17<01:02, 2.00s/it] 25%|██▌ | 10/40 [00:19<01:00, 2.01s/it] 28%|██▊ | 11/40 [00:21<00:58, 2.01s/it] 30%|███ | 12/40 [00:23<00:56, 2.02s/it] 32%|███▎ | 13/40 [00:25<00:54, 2.03s/it] 35%|███▌ | 14/40 [00:28<00:52, 2.03s/it] 38%|███▊ | 15/40 [00:30<00:50, 2.03s/it] 40%|████ | 16/40 [00:32<00:48, 2.03s/it] 42%|████▎ | 17/40 [00:34<00:46, 2.03s/it] 45%|████▌ | 18/40 [00:36<00:44, 2.04s/it] 48%|████▊ | 19/40 [00:38<00:42, 2.04s/it] 50%|█████ | 20/40 [00:40<00:40, 2.04s/it] 52%|█████▎ | 21/40 [00:42<00:38, 2.03s/it] 55%|█████▌ | 22/40 [00:44<00:36, 2.03s/it] 57%|█████▊ | 23/40 [00:46<00:34, 2.02s/it] 60%|██████ | 24/40 [00:48<00:32, 2.02s/it] 62%|██████▎ | 25/40 [00:50<00:30, 2.01s/it] 65%|██████▌ | 26/40 [00:52<00:28, 2.01s/it] 68%|██████▊ | 27/40 [00:54<00:26, 2.00s/it] 70%|███████ | 28/40 [00:56<00:23, 2.00s/it] 72%|███████▎ | 29/40 [00:58<00:21, 1.99s/it] 75%|███████▌ | 30/40 [01:00<00:19, 1.99s/it] 78%|███████▊ | 31/40 [01:02<00:17, 1.99s/it] 80%|████████ | 32/40 [01:04<00:15, 1.99s/it] 82%|████████▎ | 33/40 [01:06<00:13, 1.99s/it] 85%|████████▌ | 34/40 [01:08<00:11, 1.99s/it] 88%|████████▊ | 35/40 [01:10<00:09, 1.99s/it] 90%|█████████ | 36/40 [01:12<00:07, 1.98s/it] 92%|█████████▎| 37/40 [01:14<00:05, 1.98s/it] 95%|█████████▌| 38/40 [01:16<00:03, 1.98s/it] 98%|█████████▊| 39/40 [01:18<00:01, 1.98s/it] 100%|██████████| 40/40 [01:19<00:00, 1.68s/it] 100%|██████████| 40/40 [01:19<00:00, 1.98s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 204.1ms Speed: 3.2ms preprocess, 204.1ms inference, 33.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:16, 1.12it/s] 11%|█ | 2/19 [00:01<00:13, 1.25it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.30it/s] 21%|██ | 4/19 [00:03<00:11, 1.34it/s] 26%|██▋ | 5/19 [00:03<00:10, 1.38it/s] 32%|███▏ | 6/19 [00:04<00:09, 1.36it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.33it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.34it/s] 47%|████▋ | 9/19 [00:06<00:07, 1.31it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.28it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.31it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.28it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.27it/s] 74%|███████▎ | 14/19 [00:10<00:03, 1.30it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.30it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.26it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.25it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.24it/s] 100%|██████████| 19/19 [00:14<00:00, 1.45it/s] 100%|██████████| 19/19 [00:14<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.23it/s] 11%|█ | 2/19 [00:01<00:14, 1.20it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.22it/s] 21%|██ | 4/19 [00:03<00:11, 1.25it/s] 26%|██▋ | 5/19 [00:03<00:10, 1.29it/s] 32%|███▏ | 6/19 [00:04<00:09, 1.35it/s] 37%|███▋ | 7/19 [00:05<00:08, 1.37it/s] 42%|████▏ | 8/19 [00:06<00:07, 1.39it/s] 47%|████▋ | 9/19 [00:06<00:07, 1.42it/s] 53%|█████▎ | 10/19 [00:07<00:06, 1.44it/s] 58%|█████▊ | 11/19 [00:08<00:05, 1.45it/s] 63%|██████▎ | 12/19 [00:08<00:04, 1.47it/s] 68%|██████▊ | 13/19 [00:09<00:04, 1.46it/s] 74%|███████▎ | 14/19 [00:10<00:03, 1.45it/s] 79%|███████▉ | 15/19 [00:10<00:02, 1.46it/s] 84%|████████▍ | 16/19 [00:11<00:02, 1.47it/s] 89%|████████▉ | 17/19 [00:12<00:01, 1.47it/s] 95%|█████████▍| 18/19 [00:12<00:00, 1.48it/s] 100%|██████████| 19/19 [00:13<00:00, 1.73it/s] 100%|██████████| 19/19 [00:13<00:00, 1.44it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 2 faces, 7.9ms Speed: 2.5ms preprocess, 7.9ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.50it/s] 11%|█ | 2/19 [00:01<00:11, 1.49it/s] 16%|█▌ | 3/19 [00:02<00:10, 1.48it/s] 21%|██ | 4/19 [00:02<00:10, 1.47it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.48it/s] 32%|███▏ | 6/19 [00:04<00:08, 1.49it/s] 37%|███▋ | 7/19 [00:04<00:08, 1.49it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.48it/s] 47%|████▋ | 9/19 [00:06<00:06, 1.48it/s] 53%|█████▎ | 10/19 [00:06<00:06, 1.48it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.48it/s] 63%|██████▎ | 12/19 [00:08<00:04, 1.47it/s] 68%|██████▊ | 13/19 [00:08<00:04, 1.48it/s] 74%|███████▎ | 14/19 [00:09<00:03, 1.47it/s] 79%|███████▉ | 15/19 [00:10<00:02, 1.48it/s] 84%|████████▍ | 16/19 [00:10<00:02, 1.48it/s] 89%|████████▉ | 17/19 [00:11<00:01, 1.48it/s] 95%|█████████▍| 18/19 [00:12<00:00, 1.47it/s] 100%|██████████| 19/19 [00:12<00:00, 1.73it/s] 100%|██████████| 19/19 [00:12<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:12, 1.43it/s] 11%|█ | 2/19 [00:01<00:11, 1.43it/s] 16%|█▌ | 3/19 [00:02<00:11, 1.44it/s] 21%|██ | 4/19 [00:02<00:10, 1.45it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.45it/s] 32%|███▏ | 6/19 [00:04<00:08, 1.45it/s] 37%|███▋ | 7/19 [00:04<00:08, 1.45it/s] 42%|████▏ | 8/19 [00:05<00:08, 1.35it/s] 47%|████▋ | 9/19 [00:06<00:08, 1.17it/s] 53%|█████▎ | 10/19 [00:07<00:08, 1.06it/s] 58%|█████▊ | 11/19 [00:09<00:08, 1.01s/it] 63%|██████▎ | 12/19 [00:09<00:06, 1.05it/s] 68%|██████▊ | 13/19 [00:10<00:05, 1.14it/s] 74%|███████▎ | 14/19 [00:11<00:04, 1.22it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.29it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.33it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.37it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.41it/s] 100%|██████████| 19/19 [00:14<00:00, 1.67it/s] 100%|██████████| 19/19 [00:14<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 8.0ms Speed: 2.7ms preprocess, 8.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
Masterpiece, closeup, hd, 8K, Fantasy art, award winning drawing of a old male farmer and a old female farmer in a windy landscape helping each other walking, rugged clothes romantic, storm in background, back view, intricate details, Fantastical realism, fandist
negative_prompt
Specify things to not see in the output
desaturated, nsfw. low res. bad anatomy, monochrome
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
308170926
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++ 2S a Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/574e9e37eda64410a2fcfeffe9a9152f/00000-308170926.webp
https://files.tungsten.run/uploads/acb4420e1d2c411a8fcfb02005ae72ff/00001-308170927.webp
https://files.tungsten.run/uploads/b6445c3116cf4cf4afa009d33d8ddd61/00002-308170928.webp
Finished in 148.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Masterpiece, closeup, hd, 8K, Fantasy art, award winning drawing of a old male farmer and a old female farmer in a windy landscape helping each other walking, rugged clothes romantic, storm in background, back view, intricate details, Fantastical realism, fandist Full negative prompt: desaturated, nsfw. low res. bad anatomy, monochrome 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:15, 1.94s/it] 5%|▌ | 2/40 [00:03<01:14, 1.95s/it] 8%|▊ | 3/40 [00:05<01:12, 1.96s/it] 10%|█ | 4/40 [00:07<01:10, 1.96s/it] 12%|█▎ | 5/40 [00:09<01:08, 1.97s/it] 15%|█▌ | 6/40 [00:11<01:07, 1.98s/it] 18%|█▊ | 7/40 [00:13<01:05, 1.98s/it] 20%|██ | 8/40 [00:15<01:03, 1.99s/it] 22%|██▎ | 9/40 [00:17<01:02, 2.00s/it] 25%|██▌ | 10/40 [00:19<01:00, 2.01s/it] 28%|██▊ | 11/40 [00:21<00:58, 2.01s/it] 30%|███ | 12/40 [00:23<00:56, 2.02s/it] 32%|███▎ | 13/40 [00:25<00:54, 2.03s/it] 35%|███▌ | 14/40 [00:28<00:52, 2.03s/it] 38%|███▊ | 15/40 [00:30<00:50, 2.03s/it] 40%|████ | 16/40 [00:32<00:48, 2.03s/it] 42%|████▎ | 17/40 [00:34<00:46, 2.03s/it] 45%|████▌ | 18/40 [00:36<00:44, 2.04s/it] 48%|████▊ | 19/40 [00:38<00:42, 2.04s/it] 50%|█████ | 20/40 [00:40<00:40, 2.04s/it] 52%|█████▎ | 21/40 [00:42<00:38, 2.03s/it] 55%|█████▌ | 22/40 [00:44<00:36, 2.03s/it] 57%|█████▊ | 23/40 [00:46<00:34, 2.02s/it] 60%|██████ | 24/40 [00:48<00:32, 2.02s/it] 62%|██████▎ | 25/40 [00:50<00:30, 2.01s/it] 65%|██████▌ | 26/40 [00:52<00:28, 2.01s/it] 68%|██████▊ | 27/40 [00:54<00:26, 2.00s/it] 70%|███████ | 28/40 [00:56<00:23, 2.00s/it] 72%|███████▎ | 29/40 [00:58<00:21, 1.99s/it] 75%|███████▌ | 30/40 [01:00<00:19, 1.99s/it] 78%|███████▊ | 31/40 [01:02<00:17, 1.99s/it] 80%|████████ | 32/40 [01:04<00:15, 1.99s/it] 82%|████████▎ | 33/40 [01:06<00:13, 1.99s/it] 85%|████████▌ | 34/40 [01:08<00:11, 1.99s/it] 88%|████████▊ | 35/40 [01:10<00:09, 1.99s/it] 90%|█████████ | 36/40 [01:12<00:07, 1.98s/it] 92%|█████████▎| 37/40 [01:14<00:05, 1.98s/it] 95%|█████████▌| 38/40 [01:16<00:03, 1.98s/it] 98%|█████████▊| 39/40 [01:18<00:01, 1.98s/it] 100%|██████████| 40/40 [01:19<00:00, 1.68s/it] 100%|██████████| 40/40 [01:19<00:00, 1.98s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 204.1ms Speed: 3.2ms preprocess, 204.1ms inference, 33.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:16, 1.12it/s] 11%|█ | 2/19 [00:01<00:13, 1.25it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.30it/s] 21%|██ | 4/19 [00:03<00:11, 1.34it/s] 26%|██▋ | 5/19 [00:03<00:10, 1.38it/s] 32%|███▏ | 6/19 [00:04<00:09, 1.36it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.33it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.34it/s] 47%|████▋ | 9/19 [00:06<00:07, 1.31it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.28it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.31it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.28it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.27it/s] 74%|███████▎ | 14/19 [00:10<00:03, 1.30it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.30it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.26it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.25it/s] 95%|█████████▍| 18/19 [00:13<00:00, 1.24it/s] 100%|██████████| 19/19 [00:14<00:00, 1.45it/s] 100%|██████████| 19/19 [00:14<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.23it/s] 11%|█ | 2/19 [00:01<00:14, 1.20it/s] 16%|█▌ | 3/19 [00:02<00:13, 1.22it/s] 21%|██ | 4/19 [00:03<00:11, 1.25it/s] 26%|██▋ | 5/19 [00:03<00:10, 1.29it/s] 32%|███▏ | 6/19 [00:04<00:09, 1.35it/s] 37%|███▋ | 7/19 [00:05<00:08, 1.37it/s] 42%|████▏ | 8/19 [00:06<00:07, 1.39it/s] 47%|████▋ | 9/19 [00:06<00:07, 1.42it/s] 53%|█████▎ | 10/19 [00:07<00:06, 1.44it/s] 58%|█████▊ | 11/19 [00:08<00:05, 1.45it/s] 63%|██████▎ | 12/19 [00:08<00:04, 1.47it/s] 68%|██████▊ | 13/19 [00:09<00:04, 1.46it/s] 74%|███████▎ | 14/19 [00:10<00:03, 1.45it/s] 79%|███████▉ | 15/19 [00:10<00:02, 1.46it/s] 84%|████████▍ | 16/19 [00:11<00:02, 1.47it/s] 89%|████████▉ | 17/19 [00:12<00:01, 1.47it/s] 95%|█████████▍| 18/19 [00:12<00:00, 1.48it/s] 100%|██████████| 19/19 [00:13<00:00, 1.73it/s] 100%|██████████| 19/19 [00:13<00:00, 1.44it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 2 faces, 7.9ms Speed: 2.5ms preprocess, 7.9ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.50it/s] 11%|█ | 2/19 [00:01<00:11, 1.49it/s] 16%|█▌ | 3/19 [00:02<00:10, 1.48it/s] 21%|██ | 4/19 [00:02<00:10, 1.47it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.48it/s] 32%|███▏ | 6/19 [00:04<00:08, 1.49it/s] 37%|███▋ | 7/19 [00:04<00:08, 1.49it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.48it/s] 47%|████▋ | 9/19 [00:06<00:06, 1.48it/s] 53%|█████▎ | 10/19 [00:06<00:06, 1.48it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.48it/s] 63%|██████▎ | 12/19 [00:08<00:04, 1.47it/s] 68%|██████▊ | 13/19 [00:08<00:04, 1.48it/s] 74%|███████▎ | 14/19 [00:09<00:03, 1.47it/s] 79%|███████▉ | 15/19 [00:10<00:02, 1.48it/s] 84%|████████▍ | 16/19 [00:10<00:02, 1.48it/s] 89%|████████▉ | 17/19 [00:11<00:01, 1.48it/s] 95%|█████████▍| 18/19 [00:12<00:00, 1.47it/s] 100%|██████████| 19/19 [00:12<00:00, 1.73it/s] 100%|██████████| 19/19 [00:12<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:12, 1.43it/s] 11%|█ | 2/19 [00:01<00:11, 1.43it/s] 16%|█▌ | 3/19 [00:02<00:11, 1.44it/s] 21%|██ | 4/19 [00:02<00:10, 1.45it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.45it/s] 32%|███▏ | 6/19 [00:04<00:08, 1.45it/s] 37%|███▋ | 7/19 [00:04<00:08, 1.45it/s] 42%|████▏ | 8/19 [00:05<00:08, 1.35it/s] 47%|████▋ | 9/19 [00:06<00:08, 1.17it/s] 53%|█████▎ | 10/19 [00:07<00:08, 1.06it/s] 58%|█████▊ | 11/19 [00:09<00:08, 1.01s/it] 63%|██████▎ | 12/19 [00:09<00:06, 1.05it/s] 68%|██████▊ | 13/19 [00:10<00:05, 1.14it/s] 74%|███████▎ | 14/19 [00:11<00:04, 1.22it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.29it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.33it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.37it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.41it/s] 100%|██████████| 19/19 [00:14<00:00, 1.67it/s] 100%|██████████| 19/19 [00:14<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 8.0ms Speed: 2.7ms preprocess, 8.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.