tungsten-logo
Sign In
Mushroom Chibis with Art Universe
art-universe:v8.0
evevalentine2017
evevalentine2017
·
Jan 6
331
Input
prompt
Specify things to see in the output
Mister Mushroom a Big chibi eyes anthropomorphic mushroom is cold and exhausted after his lonely journey through the Harsh Winter snows in search of that fabled oasis called Mushroomtopia
negative_prompt
Specify things to not see in the output
more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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
-0.95
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1405715587
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
28
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.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/6fcd9cf8e88641cba8b17deee8283363/00000-1405715587.webp
https://files.tungsten.run/uploads/27a367a9fc994c05b254ca274a2c467e/00001-1405715588.webp
https://files.tungsten.run/uploads/6f59acc04c7a49d5991d8d4a0f0ac31d/00002-1405715589.webp
https://files.tungsten.run/uploads/eb889195c3e84619887e38dc8defab9f/00003-1405715590.webp
Finished in 115.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Mister Mushroom a Big chibi eyes anthropomorphic mushroom is cold and exhausted after his lonely journey through the Harsh Winter snows in search of that fabled oasis called Mushroomtopia, <lora:add_saturation:-0.95> Full negative prompt: more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:48, 1.79s/it] 7%|▋ | 2/28 [00:03<00:46, 1.80s/it] 11%|█ | 3/28 [00:05<00:45, 1.82s/it] 14%|█▍ | 4/28 [00:07<00:43, 1.82s/it] 18%|█▊ | 5/28 [00:09<00:42, 1.85s/it] 21%|██▏ | 6/28 [00:11<00:40, 1.86s/it] 25%|██▌ | 7/28 [00:12<00:38, 1.84s/it] 29%|██▊ | 8/28 [00:14<00:36, 1.80s/it] 32%|███▏ | 9/28 [00:16<00:34, 1.82s/it] 36%|███▌ | 10/28 [00:18<00:33, 1.84s/it] 39%|███▉ | 11/28 [00:20<00:30, 1.82s/it] 43%|████▎ | 12/28 [00:21<00:28, 1.80s/it] 46%|████▋ | 13/28 [00:23<00:26, 1.79s/it] 50%|█████ | 14/28 [00:25<00:24, 1.77s/it] 54%|█████▎ | 15/28 [00:27<00:23, 1.78s/it] 57%|█████▋ | 16/28 [00:28<00:20, 1.73s/it] 61%|██████ | 17/28 [00:30<00:17, 1.63s/it] 64%|██████▍ | 18/28 [00:31<00:16, 1.61s/it] 68%|██████▊ | 19/28 [00:33<00:14, 1.60s/it] 71%|███████▏ | 20/28 [00:34<00:12, 1.58s/it] 75%|███████▌ | 21/28 [00:36<00:11, 1.63s/it] 79%|███████▊ | 22/28 [00:38<00:09, 1.61s/it] 82%|████████▏ | 23/28 [00:39<00:08, 1.64s/it] 86%|████████▌ | 24/28 [00:41<00:06, 1.56s/it] 89%|████████▉ | 25/28 [00:42<00:04, 1.53s/it] 93%|█████████▎| 26/28 [00:44<00:03, 1.54s/it] 96%|█████████▋| 27/28 [00:45<00:01, 1.38s/it] 100%|██████████| 28/28 [00:45<00:00, 1.15s/it] 100%|██████████| 28/28 [00:45<00:00, 1.64s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 2.9ms preprocess, 7.9ms inference, 23.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:08, 1.44it/s] 15%|█▌ | 2/13 [00:01<00:05, 1.94it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.11it/s] 31%|███ | 4/13 [00:01<00:04, 2.20it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.26it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.22it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.27it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.17it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.31it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.36it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.36it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.57it/s] 100%|██████████| 13/13 [00:05<00:00, 3.03it/s] 100%|██████████| 13/13 [00:05<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.8ms preprocess, 7.2ms 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, 7.0ms Speed: 2.7ms 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, 2.22it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.40it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.35it/s] 31%|███ | 4/13 [00:01<00:03, 2.33it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.22it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.18it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.23it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.20it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.25it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.33it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.34it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.57it/s] 100%|██████████| 13/13 [00:05<00:00, 3.03it/s] 100%|██████████| 13/13 [00:05<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.7ms Speed: 2.7ms preprocess, 6.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.26it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.45it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.40it/s] 31%|███ | 4/13 [00:01<00:03, 2.33it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.32it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.25it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.30it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.26it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.35it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.38it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.37it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.62it/s] 100%|██████████| 13/13 [00:05<00:00, 3.08it/s] 100%|██████████| 13/13 [00:05<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.24it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.42it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.28it/s] 31%|███ | 4/13 [00:01<00:03, 2.30it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.31it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.24it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.28it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.25it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.34it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.38it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.36it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.61it/s] 100%|██████████| 13/13 [00:05<00:00, 3.06it/s] 100%|██████████| 13/13 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.6ms 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, 2.24it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.38it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.36it/s] 31%|███ | 4/13 [00:01<00:03, 2.36it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.37it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.29it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.32it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.28it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.38it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.43it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.41it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.63it/s] 100%|██████████| 13/13 [00:05<00:00, 3.08it/s] 100%|██████████| 13/13 [00:05<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s 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, 2.24it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.43it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.37it/s] 31%|███ | 4/13 [00:01<00:03, 2.29it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.31it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.24it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.28it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.25it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.36it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.39it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.38it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.62it/s] 100%|██████████| 13/13 [00:05<00:00, 3.07it/s] 100%|██████████| 13/13 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.23s 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, 2.24it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.42it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.35it/s] 31%|███ | 4/13 [00:01<00:03, 2.33it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.34it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.25it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.28it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.23it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.33it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.37it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.35it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.59it/s] 100%|██████████| 13/13 [00:05<00:00, 3.04it/s] 100%|██████████| 13/13 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 6.8ms Speed: 2.6ms preprocess, 6.8ms 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<00:04, 2.37it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.28it/s] 31%|███ | 4/13 [00:01<00:03, 2.29it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.33it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.24it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.27it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.22it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.32it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.37it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.36it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.60it/s] 100%|██████████| 13/13 [00:05<00:00, 3.05it/s] 100%|██████████| 13/13 [00:05<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.22it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.38it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.34it/s] 31%|███ | 4/13 [00:01<00:03, 2.32it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.33it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.26it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.30it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.26it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.35it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.39it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.34it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.58it/s] 100%|██████████| 13/13 [00:05<00:00, 3.04it/s] 100%|██████████| 13/13 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:06, 1.98it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.29it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.30it/s] 31%|███ | 4/13 [00:01<00:03, 2.32it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.35it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.26it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.29it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.23it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.34it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.38it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.37it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.61it/s] 100%|██████████| 13/13 [00:05<00:00, 3.06it/s] 100%|██████████| 13/13 [00:05<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Mister Mushroom a Big chibi eyes anthropomorphic mushroom is cold and exhausted after his lonely journey through the Harsh Winter snows in search of that fabled oasis called Mushroomtopia
negative_prompt
Specify things to not see in the output
more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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
-0.95
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1405715587
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
28
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/6fcd9cf8e88641cba8b17deee8283363/00000-1405715587.webp
https://files.tungsten.run/uploads/27a367a9fc994c05b254ca274a2c467e/00001-1405715588.webp
https://files.tungsten.run/uploads/6f59acc04c7a49d5991d8d4a0f0ac31d/00002-1405715589.webp
https://files.tungsten.run/uploads/eb889195c3e84619887e38dc8defab9f/00003-1405715590.webp
Finished in 115.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Mister Mushroom a Big chibi eyes anthropomorphic mushroom is cold and exhausted after his lonely journey through the Harsh Winter snows in search of that fabled oasis called Mushroomtopia, <lora:add_saturation:-0.95> Full negative prompt: more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:48, 1.79s/it] 7%|▋ | 2/28 [00:03<00:46, 1.80s/it] 11%|█ | 3/28 [00:05<00:45, 1.82s/it] 14%|█▍ | 4/28 [00:07<00:43, 1.82s/it] 18%|█▊ | 5/28 [00:09<00:42, 1.85s/it] 21%|██▏ | 6/28 [00:11<00:40, 1.86s/it] 25%|██▌ | 7/28 [00:12<00:38, 1.84s/it] 29%|██▊ | 8/28 [00:14<00:36, 1.80s/it] 32%|███▏ | 9/28 [00:16<00:34, 1.82s/it] 36%|███▌ | 10/28 [00:18<00:33, 1.84s/it] 39%|███▉ | 11/28 [00:20<00:30, 1.82s/it] 43%|████▎ | 12/28 [00:21<00:28, 1.80s/it] 46%|████▋ | 13/28 [00:23<00:26, 1.79s/it] 50%|█████ | 14/28 [00:25<00:24, 1.77s/it] 54%|█████▎ | 15/28 [00:27<00:23, 1.78s/it] 57%|█████▋ | 16/28 [00:28<00:20, 1.73s/it] 61%|██████ | 17/28 [00:30<00:17, 1.63s/it] 64%|██████▍ | 18/28 [00:31<00:16, 1.61s/it] 68%|██████▊ | 19/28 [00:33<00:14, 1.60s/it] 71%|███████▏ | 20/28 [00:34<00:12, 1.58s/it] 75%|███████▌ | 21/28 [00:36<00:11, 1.63s/it] 79%|███████▊ | 22/28 [00:38<00:09, 1.61s/it] 82%|████████▏ | 23/28 [00:39<00:08, 1.64s/it] 86%|████████▌ | 24/28 [00:41<00:06, 1.56s/it] 89%|████████▉ | 25/28 [00:42<00:04, 1.53s/it] 93%|█████████▎| 26/28 [00:44<00:03, 1.54s/it] 96%|█████████▋| 27/28 [00:45<00:01, 1.38s/it] 100%|██████████| 28/28 [00:45<00:00, 1.15s/it] 100%|██████████| 28/28 [00:45<00:00, 1.64s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 2.9ms preprocess, 7.9ms inference, 23.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:08, 1.44it/s] 15%|█▌ | 2/13 [00:01<00:05, 1.94it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.11it/s] 31%|███ | 4/13 [00:01<00:04, 2.20it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.26it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.22it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.27it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.17it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.31it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.36it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.36it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.57it/s] 100%|██████████| 13/13 [00:05<00:00, 3.03it/s] 100%|██████████| 13/13 [00:05<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.8ms preprocess, 7.2ms 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, 7.0ms Speed: 2.7ms 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, 2.22it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.40it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.35it/s] 31%|███ | 4/13 [00:01<00:03, 2.33it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.22it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.18it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.23it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.20it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.25it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.33it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.34it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.57it/s] 100%|██████████| 13/13 [00:05<00:00, 3.03it/s] 100%|██████████| 13/13 [00:05<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.7ms Speed: 2.7ms preprocess, 6.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.26it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.45it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.40it/s] 31%|███ | 4/13 [00:01<00:03, 2.33it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.32it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.25it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.30it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.26it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.35it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.38it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.37it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.62it/s] 100%|██████████| 13/13 [00:05<00:00, 3.08it/s] 100%|██████████| 13/13 [00:05<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.24it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.42it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.28it/s] 31%|███ | 4/13 [00:01<00:03, 2.30it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.31it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.24it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.28it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.25it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.34it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.38it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.36it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.61it/s] 100%|██████████| 13/13 [00:05<00:00, 3.06it/s] 100%|██████████| 13/13 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.6ms 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, 2.24it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.38it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.36it/s] 31%|███ | 4/13 [00:01<00:03, 2.36it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.37it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.29it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.32it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.28it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.38it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.43it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.41it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.63it/s] 100%|██████████| 13/13 [00:05<00:00, 3.08it/s] 100%|██████████| 13/13 [00:05<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s 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, 2.24it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.43it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.37it/s] 31%|███ | 4/13 [00:01<00:03, 2.29it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.31it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.24it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.28it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.25it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.36it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.39it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.38it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.62it/s] 100%|██████████| 13/13 [00:05<00:00, 3.07it/s] 100%|██████████| 13/13 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.23s 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, 2.24it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.42it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.35it/s] 31%|███ | 4/13 [00:01<00:03, 2.33it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.34it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.25it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.28it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.23it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.33it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.37it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.35it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.59it/s] 100%|██████████| 13/13 [00:05<00:00, 3.04it/s] 100%|██████████| 13/13 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 6.8ms Speed: 2.6ms preprocess, 6.8ms 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<00:04, 2.37it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.28it/s] 31%|███ | 4/13 [00:01<00:03, 2.29it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.33it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.24it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.27it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.22it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.32it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.37it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.36it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.60it/s] 100%|██████████| 13/13 [00:05<00:00, 3.05it/s] 100%|██████████| 13/13 [00:05<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.22it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.38it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.34it/s] 31%|███ | 4/13 [00:01<00:03, 2.32it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.33it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.26it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.30it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.26it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.35it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.39it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.34it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.58it/s] 100%|██████████| 13/13 [00:05<00:00, 3.04it/s] 100%|██████████| 13/13 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:06, 1.98it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.29it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.30it/s] 31%|███ | 4/13 [00:01<00:03, 2.32it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.35it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.26it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.29it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.23it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.34it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.38it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.37it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.61it/s] 100%|██████████| 13/13 [00:05<00:00, 3.06it/s] 100%|██████████| 13/13 [00:05<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.