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Sitting in the Nature with Enjoy Pandora XL
enjoy-pandora-xl:v1.0
evevalentine2017
evevalentine2017
·
Jan 23
354
Input
prompt
Specify things to see in the output
girl yang xiao long, masterpiece, best quality, large breasts, 1girl, bangs, photorealistic background, branch, dappled sunlight, from side, leaf, autumn, forest, park, grin, outdoors, solo, sunlight, looking away, ahoge, messy hair, wind, blonde hair, long hair, purple eyes, Highres, 8K, Detailed, Ambient Light, Digital Art, Soft Lighting, Hyper-Detailed Background, Nature, Forest, Pond, Flowers, Caustics, Reflections, Marble Bricks, Mature Female, Solo, Full Body, squatting, Spread Legs, From Behind, Looking back, Very Long Black Twintails, Messy Hair, highest quality, perfect face, very deep eyes, cinematic lighting, detailed eyes, best quality, bishoujo, sidelight, highres, intricate details, superb, 8k wallpaper, extremely detailed, intricate, award-winning, hyper-detailed, intricate details, eyes focus, trending on artstation, sharp focus, extremely detailed CG unity 8k wallpaper, volumetric lighting, gloomy, smooth lighting, cinematic lighting,
negative_prompt
Specify things to not see in the output
(more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1452464869
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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)
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)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/08a344f3e03f4f9a8af23107e06d9338/00000-1452464869.webp
https://files.tungsten.run/uploads/9dfb3d7d815b4608a7f04012884151a4/00001-1452464870.webp
https://files.tungsten.run/uploads/81af91c7051b443fbd4824ed92b3e778/00002-1452464871.webp
Finished in 212.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: girl yang xiao long, masterpiece, best quality, large breasts, 1girl, bangs, photorealistic background, branch, dappled sunlight, from side, leaf, autumn, forest, park, grin, outdoors, solo, sunlight, looking away, ahoge, messy hair, wind, blonde hair, long hair, purple eyes, Highres, 8K, Detailed, Ambient Light, Digital Art, Soft Lighting, Hyper-Detailed Background, Nature, Forest, Pond, Flowers, Caustics, Reflections, Marble Bricks, Mature Female, Solo, Full Body, squatting, Spread Legs, From Behind, Looking back, Very Long Black Twintails, Messy Hair, highest quality, perfect face, very deep eyes, cinematic lighting, detailed eyes, best quality, bishoujo, sidelight, highres, intricate details, superb, 8k wallpaper, extremely detailed, intricate, award-winning, hyper-detailed, intricate details, eyes focus, trending on artstation, sharp focus, extremely detailed CG unity 8k wallpaper, volumetric lighting, gloomy, smooth lighting, cinematic lighting, Full negative prompt: (more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:17, 2.00s/it] 5%|▌ | 2/40 [00:04<01:27, 2.29s/it] 8%|▊ | 3/40 [00:07<01:32, 2.49s/it] 10%|█ | 4/40 [00:09<01:31, 2.55s/it] 12%|█▎ | 5/40 [00:12<01:29, 2.57s/it] 15%|█▌ | 6/40 [00:15<01:27, 2.58s/it] 18%|█▊ | 7/40 [00:17<01:27, 2.64s/it] 20%|██ | 8/40 [00:20<01:23, 2.62s/it] 22%|██▎ | 9/40 [00:23<01:22, 2.66s/it] 25%|██▌ | 10/40 [00:25<01:19, 2.64s/it] 28%|██▊ | 11/40 [00:28<01:15, 2.62s/it] 30%|███ | 12/40 [00:31<01:15, 2.69s/it] 32%|███▎ | 13/40 [00:33<01:12, 2.69s/it] 35%|███▌ | 14/40 [00:36<01:08, 2.65s/it] 38%|███▊ | 15/40 [00:39<01:06, 2.66s/it] 40%|████ | 16/40 [00:41<01:03, 2.63s/it] 42%|████▎ | 17/40 [00:44<01:01, 2.68s/it] 45%|████▌ | 18/40 [00:47<00:58, 2.68s/it] 48%|████▊ | 19/40 [00:49<00:56, 2.69s/it] 50%|█████ | 20/40 [00:52<00:52, 2.63s/it] 52%|█████▎ | 21/40 [00:54<00:49, 2.61s/it] 55%|█████▌ | 22/40 [00:57<00:45, 2.55s/it] 57%|█████▊ | 23/40 [00:59<00:42, 2.51s/it] 60%|██████ | 24/40 [01:02<00:40, 2.55s/it] 62%|██████▎ | 25/40 [01:04<00:37, 2.48s/it] 65%|██████▌ | 26/40 [01:07<00:35, 2.51s/it] 68%|██████▊ | 27/40 [01:09<00:32, 2.53s/it] 70%|███████ | 28/40 [01:12<00:30, 2.52s/it] 72%|███████▎ | 29/40 [01:14<00:27, 2.50s/it] 75%|███████▌ | 30/40 [01:17<00:25, 2.54s/it] 78%|███████▊ | 31/40 [01:19<00:22, 2.48s/it] 80%|████████ | 32/40 [01:21<00:18, 2.37s/it] 82%|████████▎ | 33/40 [01:24<00:16, 2.40s/it] 85%|████████▌ | 34/40 [01:26<00:13, 2.32s/it] 88%|████████▊ | 35/40 [01:28<00:11, 2.29s/it] 90%|█████████ | 36/40 [01:30<00:08, 2.24s/it] 92%|█████████▎| 37/40 [01:33<00:06, 2.31s/it] 95%|█████████▌| 38/40 [01:35<00:04, 2.28s/it] 98%|█████████▊| 39/40 [01:37<00:02, 2.05s/it] 100%|██████████| 40/40 [01:38<00:00, 1.81s/it] 100%|██████████| 40/40 [01:38<00:00, 2.46s/it] Decoding latents in cuda:0... done in 2.36s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 21.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:20, 1.15s/it] 11%|█ | 2/19 [00:02<00:17, 1.06s/it] 16%|█▌ | 3/19 [00:03<00:17, 1.10s/it] 21%|██ | 4/19 [00:04<00:15, 1.06s/it] 26%|██▋ | 5/19 [00:05<00:15, 1.07s/it] 32%|███▏ | 6/19 [00:06<00:13, 1.06s/it] 37%|███▋ | 7/19 [00:07<00:12, 1.06s/it] 42%|████▏ | 8/19 [00:08<00:11, 1.05s/it] 47%|████▋ | 9/19 [00:09<00:10, 1.06s/it] 53%|█████▎ | 10/19 [00:10<00:09, 1.03s/it] 58%|█████▊ | 11/19 [00:11<00:07, 1.01it/s] 63%|██████▎ | 12/19 [00:12<00:06, 1.00it/s] 68%|██████▊ | 13/19 [00:13<00:05, 1.03it/s] 74%|███████▎ | 14/19 [00:14<00:04, 1.05it/s] 79%|███████▉ | 15/19 [00:15<00:03, 1.07it/s] 84%|████████▍ | 16/19 [00:16<00:02, 1.03it/s] 89%|████████▉ | 17/19 [00:17<00:01, 1.04it/s] 95%|█████████▍| 18/19 [00:17<00:00, 1.13it/s] 100%|██████████| 19/19 [00:18<00:00, 1.24it/s] 100%|██████████| 19/19 [00:18<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 9.2ms Speed: 3.0ms preprocess, 9.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 11.0ms Speed: 3.0ms preprocess, 11.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:17, 1.01it/s] 11%|█ | 2/19 [00:01<00:16, 1.01it/s] 16%|█▌ | 3/19 [00:03<00:16, 1.03s/it] 21%|██ | 4/19 [00:04<00:15, 1.00s/it] 26%|██▋ | 5/19 [00:05<00:14, 1.02s/it] 32%|███▏ | 6/19 [00:06<00:13, 1.02s/it] 37%|███▋ | 7/19 [00:07<00:12, 1.02s/it] 42%|████▏ | 8/19 [00:08<00:11, 1.01s/it] 47%|████▋ | 9/19 [00:09<00:10, 1.03s/it] 53%|█████▎ | 10/19 [00:10<00:09, 1.00s/it] 58%|█████▊ | 11/19 [00:11<00:07, 1.03it/s] 63%|██████▎ | 12/19 [00:12<00:06, 1.01it/s] 68%|██████▊ | 13/19 [00:12<00:05, 1.04it/s] 74%|███████▎ | 14/19 [00:13<00:04, 1.04it/s] 79%|███████▉ | 15/19 [00:14<00:03, 1.06it/s] 84%|████████▍ | 16/19 [00:15<00:02, 1.03it/s] 89%|████████▉ | 17/19 [00:16<00:01, 1.04it/s] 95%|█████████▍| 18/19 [00:17<00:00, 1.13it/s] 100%|██████████| 19/19 [00:18<00:00, 1.25it/s] 100%|██████████| 19/19 [00:18<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:18, 1.04s/it] 11%|█ | 2/19 [00:02<00:18, 1.06s/it] 16%|█▌ | 3/19 [00:03<00:17, 1.08s/it] 21%|██ | 4/19 [00:04<00:15, 1.03s/it] 26%|██▋ | 5/19 [00:05<00:14, 1.04s/it] 32%|███▏ | 6/19 [00:06<00:13, 1.03s/it] 37%|███▋ | 7/19 [00:07<00:12, 1.03s/it] 42%|████▏ | 8/19 [00:08<00:11, 1.04s/it] 47%|████▋ | 9/19 [00:09<00:10, 1.07s/it] 53%|█████▎ | 10/19 [00:10<00:09, 1.05s/it] 58%|█████▊ | 11/19 [00:11<00:07, 1.00it/s] 63%|██████▎ | 12/19 [00:12<00:07, 1.00s/it] 68%|██████▊ | 13/19 [00:13<00:05, 1.03it/s] 74%|███████▎ | 14/19 [00:14<00:04, 1.03it/s] 79%|███████▉ | 15/19 [00:15<00:03, 1.06it/s] 84%|████████▍ | 16/19 [00:16<00:02, 1.03it/s] 89%|████████▉ | 17/19 [00:17<00:01, 1.05it/s] 95%|█████████▍| 18/19 [00:17<00:00, 1.14it/s] 100%|██████████| 19/19 [00:18<00:00, 1.26it/s] 100%|██████████| 19/19 [00:18<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:17, 1.00it/s] 11%|█ | 2/19 [00:01<00:16, 1.01it/s] 16%|█▌ | 3/19 [00:03<00:16, 1.04s/it] 21%|██ | 4/19 [00:04<00:15, 1.00s/it] 26%|██▋ | 5/19 [00:05<00:14, 1.01s/it] 32%|███▏ | 6/19 [00:06<00:13, 1.02s/it] 37%|███▋ | 7/19 [00:07<00:12, 1.06s/it] 42%|████▏ | 8/19 [00:08<00:11, 1.04s/it] 47%|████▋ | 9/19 [00:09<00:10, 1.05s/it] 53%|█████▎ | 10/19 [00:10<00:09, 1.02s/it] 58%|█████▊ | 11/19 [00:11<00:07, 1.01it/s] 63%|██████▎ | 12/19 [00:12<00:07, 1.01s/it] 68%|██████▊ | 13/19 [00:13<00:05, 1.02it/s] 74%|███████▎ | 14/19 [00:14<00:04, 1.03it/s] 79%|███████▉ | 15/19 [00:15<00:03, 1.01it/s] 84%|████████▍ | 16/19 [00:16<00:03, 1.05s/it] 89%|████████▉ | 17/19 [00:17<00:02, 1.05s/it] 95%|█████████▍| 18/19 [00:18<00:00, 1.03it/s] 100%|██████████| 19/19 [00:18<00:00, 1.14it/s] 100%|██████████| 19/19 [00:18<00:00, 1.01it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.2ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:18, 1.01s/it] 11%|█ | 2/19 [00:02<00:17, 1.02s/it] 16%|█▌ | 3/19 [00:03<00:17, 1.07s/it] 21%|██ | 4/19 [00:04<00:15, 1.05s/it] 26%|██▋ | 5/19 [00:05<00:14, 1.05s/it] 32%|███▏ | 6/19 [00:06<00:13, 1.06s/it] 37%|███▋ | 7/19 [00:07<00:12, 1.05s/it] 42%|████▏ | 8/19 [00:08<00:11, 1.03s/it] 47%|████▋ | 9/19 [00:09<00:10, 1.05s/it] 53%|█████▎ | 10/19 [00:10<00:09, 1.03s/it] 58%|█████▊ | 11/19 [00:11<00:08, 1.00s/it] 63%|██████▎ | 12/19 [00:12<00:07, 1.02s/it] 68%|██████▊ | 13/19 [00:13<00:05, 1.01it/s] 74%|███████▎ | 14/19 [00:14<00:04, 1.02it/s] 79%|███████▉ | 15/19 [00:15<00:03, 1.05it/s] 84%|████████▍ | 16/19 [00:16<00:02, 1.03it/s] 89%|████████▉ | 17/19 [00:17<00:01, 1.05it/s] 95%|█████████▍| 18/19 [00:17<00:00, 1.14it/s] 100%|██████████| 19/19 [00:18<00:00, 1.24it/s] 100%|██████████| 19/19 [00:18<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
girl yang xiao long, masterpiece, best quality, large breasts, 1girl, bangs, photorealistic background, branch, dappled sunlight, from side, leaf, autumn, forest, park, grin, outdoors, solo, sunlight, looking away, ahoge, messy hair, wind, blonde hair, long hair, purple eyes, Highres, 8K, Detailed, Ambient Light, Digital Art, Soft Lighting, Hyper-Detailed Background, Nature, Forest, Pond, Flowers, Caustics, Reflections, Marble Bricks, Mature Female, Solo, Full Body, squatting, Spread Legs, From Behind, Looking back, Very Long Black Twintails, Messy Hair, highest quality, perfect face, very deep eyes, cinematic lighting, detailed eyes, best quality, bishoujo, sidelight, highres, intricate details, superb, 8k wallpaper, extremely detailed, intricate, award-winning, hyper-detailed, intricate details, eyes focus, trending on artstation, sharp focus, extremely detailed CG unity 8k wallpaper, volumetric lighting, gloomy, smooth lighting, cinematic lighting,
negative_prompt
Specify things to not see in the output
(more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1452464869
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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)
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)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/08a344f3e03f4f9a8af23107e06d9338/00000-1452464869.webp
https://files.tungsten.run/uploads/9dfb3d7d815b4608a7f04012884151a4/00001-1452464870.webp
https://files.tungsten.run/uploads/81af91c7051b443fbd4824ed92b3e778/00002-1452464871.webp
Finished in 212.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: girl yang xiao long, masterpiece, best quality, large breasts, 1girl, bangs, photorealistic background, branch, dappled sunlight, from side, leaf, autumn, forest, park, grin, outdoors, solo, sunlight, looking away, ahoge, messy hair, wind, blonde hair, long hair, purple eyes, Highres, 8K, Detailed, Ambient Light, Digital Art, Soft Lighting, Hyper-Detailed Background, Nature, Forest, Pond, Flowers, Caustics, Reflections, Marble Bricks, Mature Female, Solo, Full Body, squatting, Spread Legs, From Behind, Looking back, Very Long Black Twintails, Messy Hair, highest quality, perfect face, very deep eyes, cinematic lighting, detailed eyes, best quality, bishoujo, sidelight, highres, intricate details, superb, 8k wallpaper, extremely detailed, intricate, award-winning, hyper-detailed, intricate details, eyes focus, trending on artstation, sharp focus, extremely detailed CG unity 8k wallpaper, volumetric lighting, gloomy, smooth lighting, cinematic lighting, Full negative prompt: (more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:17, 2.00s/it] 5%|▌ | 2/40 [00:04<01:27, 2.29s/it] 8%|▊ | 3/40 [00:07<01:32, 2.49s/it] 10%|█ | 4/40 [00:09<01:31, 2.55s/it] 12%|█▎ | 5/40 [00:12<01:29, 2.57s/it] 15%|█▌ | 6/40 [00:15<01:27, 2.58s/it] 18%|█▊ | 7/40 [00:17<01:27, 2.64s/it] 20%|██ | 8/40 [00:20<01:23, 2.62s/it] 22%|██▎ | 9/40 [00:23<01:22, 2.66s/it] 25%|██▌ | 10/40 [00:25<01:19, 2.64s/it] 28%|██▊ | 11/40 [00:28<01:15, 2.62s/it] 30%|███ | 12/40 [00:31<01:15, 2.69s/it] 32%|███▎ | 13/40 [00:33<01:12, 2.69s/it] 35%|███▌ | 14/40 [00:36<01:08, 2.65s/it] 38%|███▊ | 15/40 [00:39<01:06, 2.66s/it] 40%|████ | 16/40 [00:41<01:03, 2.63s/it] 42%|████▎ | 17/40 [00:44<01:01, 2.68s/it] 45%|████▌ | 18/40 [00:47<00:58, 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100%|██████████| 40/40 [01:38<00:00, 2.46s/it] Decoding latents in cuda:0... done in 2.36s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 21.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:20, 1.15s/it] 11%|█ | 2/19 [00:02<00:17, 1.06s/it] 16%|█▌ | 3/19 [00:03<00:17, 1.10s/it] 21%|██ | 4/19 [00:04<00:15, 1.06s/it] 26%|██▋ | 5/19 [00:05<00:15, 1.07s/it] 32%|███▏ | 6/19 [00:06<00:13, 1.06s/it] 37%|███▋ | 7/19 [00:07<00:12, 1.06s/it] 42%|████▏ | 8/19 [00:08<00:11, 1.05s/it] 47%|████▋ | 9/19 [00:09<00:10, 1.06s/it] 53%|█████▎ | 10/19 [00:10<00:09, 1.03s/it] 58%|█████▊ | 11/19 [00:11<00:07, 1.01it/s] 63%|██████▎ | 12/19 [00:12<00:06, 1.00it/s] 68%|██████▊ | 13/19 [00:13<00:05, 1.03it/s] 74%|███████▎ | 14/19 [00:14<00:04, 1.05it/s] 79%|███████▉ | 15/19 [00:15<00:03, 1.07it/s] 84%|████████▍ | 16/19 [00:16<00:02, 1.03it/s] 89%|████████▉ | 17/19 [00:17<00:01, 1.04it/s] 95%|█████████▍| 18/19 [00:17<00:00, 1.13it/s] 100%|██████████| 19/19 [00:18<00:00, 1.24it/s] 100%|██████████| 19/19 [00:18<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 9.2ms Speed: 3.0ms preprocess, 9.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 11.0ms Speed: 3.0ms preprocess, 11.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:17, 1.01it/s] 11%|█ | 2/19 [00:01<00:16, 1.01it/s] 16%|█▌ | 3/19 [00:03<00:16, 1.03s/it] 21%|██ | 4/19 [00:04<00:15, 1.00s/it] 26%|██▋ | 5/19 [00:05<00:14, 1.02s/it] 32%|███▏ | 6/19 [00:06<00:13, 1.02s/it] 37%|███▋ | 7/19 [00:07<00:12, 1.02s/it] 42%|████▏ | 8/19 [00:08<00:11, 1.01s/it] 47%|████▋ | 9/19 [00:09<00:10, 1.03s/it] 53%|█████▎ | 10/19 [00:10<00:09, 1.00s/it] 58%|█████▊ | 11/19 [00:11<00:07, 1.03it/s] 63%|██████▎ | 12/19 [00:12<00:06, 1.01it/s] 68%|██████▊ | 13/19 [00:12<00:05, 1.04it/s] 74%|███████▎ | 14/19 [00:13<00:04, 1.04it/s] 79%|███████▉ | 15/19 [00:14<00:03, 1.06it/s] 84%|████████▍ | 16/19 [00:15<00:02, 1.03it/s] 89%|████████▉ | 17/19 [00:16<00:01, 1.04it/s] 95%|█████████▍| 18/19 [00:17<00:00, 1.13it/s] 100%|██████████| 19/19 [00:18<00:00, 1.25it/s] 100%|██████████| 19/19 [00:18<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:18, 1.04s/it] 11%|█ | 2/19 [00:02<00:18, 1.06s/it] 16%|█▌ | 3/19 [00:03<00:17, 1.08s/it] 21%|██ | 4/19 [00:04<00:15, 1.03s/it] 26%|██▋ | 5/19 [00:05<00:14, 1.04s/it] 32%|███▏ | 6/19 [00:06<00:13, 1.03s/it] 37%|███▋ | 7/19 [00:07<00:12, 1.03s/it] 42%|████▏ | 8/19 [00:08<00:11, 1.04s/it] 47%|████▋ | 9/19 [00:09<00:10, 1.07s/it] 53%|█████▎ | 10/19 [00:10<00:09, 1.05s/it] 58%|█████▊ | 11/19 [00:11<00:07, 1.00it/s] 63%|██████▎ | 12/19 [00:12<00:07, 1.00s/it] 68%|██████▊ | 13/19 [00:13<00:05, 1.03it/s] 74%|███████▎ | 14/19 [00:14<00:04, 1.03it/s] 79%|███████▉ | 15/19 [00:15<00:03, 1.06it/s] 84%|████████▍ | 16/19 [00:16<00:02, 1.03it/s] 89%|████████▉ | 17/19 [00:17<00:01, 1.05it/s] 95%|█████████▍| 18/19 [00:17<00:00, 1.14it/s] 100%|██████████| 19/19 [00:18<00:00, 1.26it/s] 100%|██████████| 19/19 [00:18<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:17, 1.00it/s] 11%|█ | 2/19 [00:01<00:16, 1.01it/s] 16%|█▌ | 3/19 [00:03<00:16, 1.04s/it] 21%|██ | 4/19 [00:04<00:15, 1.00s/it] 26%|██▋ | 5/19 [00:05<00:14, 1.01s/it] 32%|███▏ | 6/19 [00:06<00:13, 1.02s/it] 37%|███▋ | 7/19 [00:07<00:12, 1.06s/it] 42%|████▏ | 8/19 [00:08<00:11, 1.04s/it] 47%|████▋ | 9/19 [00:09<00:10, 1.05s/it] 53%|█████▎ | 10/19 [00:10<00:09, 1.02s/it] 58%|█████▊ | 11/19 [00:11<00:07, 1.01it/s] 63%|██████▎ | 12/19 [00:12<00:07, 1.01s/it] 68%|██████▊ | 13/19 [00:13<00:05, 1.02it/s] 74%|███████▎ | 14/19 [00:14<00:04, 1.03it/s] 79%|███████▉ | 15/19 [00:15<00:03, 1.01it/s] 84%|████████▍ | 16/19 [00:16<00:03, 1.05s/it] 89%|████████▉ | 17/19 [00:17<00:02, 1.05s/it] 95%|█████████▍| 18/19 [00:18<00:00, 1.03it/s] 100%|██████████| 19/19 [00:18<00:00, 1.14it/s] 100%|██████████| 19/19 [00:18<00:00, 1.01it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.2ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:18, 1.01s/it] 11%|█ | 2/19 [00:02<00:17, 1.02s/it] 16%|█▌ | 3/19 [00:03<00:17, 1.07s/it] 21%|██ | 4/19 [00:04<00:15, 1.05s/it] 26%|██▋ | 5/19 [00:05<00:14, 1.05s/it] 32%|███▏ | 6/19 [00:06<00:13, 1.06s/it] 37%|███▋ | 7/19 [00:07<00:12, 1.05s/it] 42%|████▏ | 8/19 [00:08<00:11, 1.03s/it] 47%|████▋ | 9/19 [00:09<00:10, 1.05s/it] 53%|█████▎ | 10/19 [00:10<00:09, 1.03s/it] 58%|█████▊ | 11/19 [00:11<00:08, 1.00s/it] 63%|██████▎ | 12/19 [00:12<00:07, 1.02s/it] 68%|██████▊ | 13/19 [00:13<00:05, 1.01it/s] 74%|███████▎ | 14/19 [00:14<00:04, 1.02it/s] 79%|███████▉ | 15/19 [00:15<00:03, 1.05it/s] 84%|████████▍ | 16/19 [00:16<00:02, 1.03it/s] 89%|████████▉ | 17/19 [00:17<00:01, 1.05it/s] 95%|█████████▍| 18/19 [00:17<00:00, 1.14it/s] 100%|██████████| 19/19 [00:18<00:00, 1.24it/s] 100%|██████████| 19/19 [00:18<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s Finished.