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Cleaning Home with Nijisouls
nijisouls:v1.0
evevalentine2017
evevalentine2017
·
Mar 10
353
Input
prompt
Specify things to see in the output
Cute lady cleaning her home, Kodak, HD
negative_prompt
Specify things to not see in the output
(more than 1 eiffel tower:1.5), (low-quality worst-quality:1.5), monochrome, earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, (frame:1.5), (frames:1), nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
Restart
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
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/f1c681295ad4417b9c18019e4b01acef/00000-2035877008.webp
https://files.tungsten.run/uploads/2435ba21fd4348ce8d72f56a8548ea4d/00001-2035877009.webp
https://files.tungsten.run/uploads/5f93b6e0443f4a59ba4a820e3aba05e6/00002-2035877010.webp
https://files.tungsten.run/uploads/d67951cde5664d65b75fa9ed228f62c5/00003-2035877011.webp
Finished in 76.9 seconds
Setting up the model... Preparing inputs... Processing... Using seed 2035877008 Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: Cute lady cleaning her home, Kodak, HD Full negative prompt: (more than 1 eiffel tower:1.5), (low-quality worst-quality:1.5), monochrome, earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, (frame:1.5), (frames:1), nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:25, 1.33s/it] 10%|█ | 2/20 [00:02<00:23, 1.33s/it] 15%|█▌ | 3/20 [00:04<00:22, 1.34s/it] 20%|██ | 4/20 [00:05<00:21, 1.34s/it] 25%|██▌ | 5/20 [00:06<00:20, 1.35s/it] 30%|███ | 6/20 [00:08<00:18, 1.35s/it] 35%|███▌ | 7/20 [00:09<00:17, 1.35s/it] 40%|████ | 8/20 [00:10<00:16, 1.35s/it] 45%|████▌ | 9/20 [00:12<00:14, 1.36s/it] 50%|█████ | 10/20 [00:13<00:13, 1.37s/it] 55%|█████▌ | 11/20 [00:14<00:12, 1.37s/it] 60%|██████ | 12/20 [00:16<00:10, 1.36s/it] 65%|██████▌ | 13/20 [00:17<00:09, 1.36s/it] 70%|███████ | 14/20 [00:18<00:08, 1.37s/it] 75%|███████▌ | 15/20 [00:20<00:06, 1.37s/it] 80%|████████ | 16/20 [00:21<00:05, 1.37s/it] 85%|████████▌ | 17/20 [00:23<00:04, 1.37s/it] 90%|█████████ | 18/20 [00:24<00:02, 1.37s/it] 95%|█████████▌| 19/20 [00:25<00:01, 1.37s/it] 100%|██████████| 20/20 [00:26<00:00, 1.17s/it] 100%|██████████| 20/20 [00:26<00:00, 1.33s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 31.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.09it/s] 20%|██ | 2/10 [00:00<00:03, 2.63it/s] 30%|███ | 3/10 [00:01<00:02, 2.83it/s] 40%|████ | 4/10 [00:01<00:02, 2.92it/s] 50%|█████ | 5/10 [00:01<00:01, 3.02it/s] 60%|██████ | 6/10 [00:02<00:01, 3.07it/s] 70%|███████ | 7/10 [00:02<00:00, 3.06it/s] 80%|████████ | 8/10 [00:02<00:00, 3.09it/s] 90%|█████████ | 9/10 [00:03<00:00, 3.12it/s] 100%|██████████| 10/10 [00:03<00:00, 3.67it/s] 100%|██████████| 10/10 [00:03<00:00, 3.14it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.29it/s] 20%|██ | 2/10 [00:00<00:02, 3.18it/s] 30%|███ | 3/10 [00:00<00:02, 3.16it/s] 40%|████ | 4/10 [00:01<00:01, 3.16it/s] 50%|█████ | 5/10 [00:01<00:01, 3.10it/s] 60%|██████ | 6/10 [00:01<00:01, 3.13it/s] 70%|███████ | 7/10 [00:02<00:00, 3.12it/s] 80%|████████ | 8/10 [00:02<00:00, 3.13it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.15it/s] 100%|██████████| 10/10 [00:03<00:00, 3.72it/s] 100%|██████████| 10/10 [00:03<00:00, 3.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.25it/s] 20%|██ | 2/10 [00:00<00:02, 3.22it/s] 30%|███ | 3/10 [00:00<00:02, 3.11it/s] 40%|████ | 4/10 [00:01<00:01, 3.10it/s] 50%|█████ | 5/10 [00:01<00:01, 3.13it/s] 60%|██████ | 6/10 [00:01<00:01, 3.11it/s] 70%|███████ | 7/10 [00:02<00:00, 3.13it/s] 80%|████████ | 8/10 [00:02<00:00, 3.14it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.12it/s] 100%|██████████| 10/10 [00:03<00:00, 3.63it/s] 100%|██████████| 10/10 [00:03<00:00, 3.28it/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: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.19it/s] 20%|██ | 2/10 [00:00<00:02, 3.21it/s] 30%|███ | 3/10 [00:00<00:02, 3.18it/s] 40%|████ | 4/10 [00:01<00:01, 3.15it/s] 50%|█████ | 5/10 [00:01<00:01, 3.16it/s] 60%|██████ | 6/10 [00:01<00:01, 3.16it/s] 70%|███████ | 7/10 [00:02<00:00, 3.11it/s] 80%|████████ | 8/10 [00:02<00:00, 3.14it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.15it/s] 100%|██████████| 10/10 [00:03<00:00, 3.71it/s] 100%|██████████| 10/10 [00:03<00:00, 3.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.29it/s] 20%|██ | 2/10 [00:00<00:02, 3.24it/s] 30%|███ | 3/10 [00:00<00:02, 3.20it/s] 40%|████ | 4/10 [00:01<00:01, 3.17it/s] 50%|█████ | 5/10 [00:01<00:01, 3.16it/s] 60%|██████ | 6/10 [00:01<00:01, 3.16it/s] 70%|███████ | 7/10 [00:02<00:00, 3.14it/s] 80%|████████ | 8/10 [00:02<00:00, 3.16it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.16it/s] 100%|██████████| 10/10 [00:03<00:00, 3.71it/s] 100%|██████████| 10/10 [00:03<00:00, 3.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.30it/s] 20%|██ | 2/10 [00:00<00:02, 3.26it/s] 30%|███ | 3/10 [00:00<00:02, 3.19it/s] 40%|████ | 4/10 [00:01<00:01, 3.17it/s] 50%|█████ | 5/10 [00:01<00:01, 3.18it/s] 60%|██████ | 6/10 [00:01<00:01, 3.17it/s] 70%|███████ | 7/10 [00:02<00:00, 3.14it/s] 80%|████████ | 8/10 [00:02<00:00, 3.16it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.16it/s] 100%|██████████| 10/10 [00:02<00:00, 3.73it/s] 100%|██████████| 10/10 [00:02<00:00, 3.34it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.8ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.31it/s] 20%|██ | 2/10 [00:00<00:02, 3.27it/s] 30%|███ | 3/10 [00:00<00:02, 3.21it/s] 40%|████ | 4/10 [00:01<00:01, 3.18it/s] 50%|█████ | 5/10 [00:01<00:01, 3.19it/s] 60%|██████ | 6/10 [00:01<00:01, 3.19it/s] 70%|███████ | 7/10 [00:02<00:00, 3.17it/s] 80%|████████ | 8/10 [00:02<00:00, 3.19it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.15it/s] 100%|██████████| 10/10 [00:02<00:00, 3.72it/s] 100%|██████████| 10/10 [00:02<00:00, 3.35it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.30it/s] 20%|██ | 2/10 [00:00<00:02, 3.26it/s] 30%|███ | 3/10 [00:00<00:02, 3.17it/s] 40%|████ | 4/10 [00:01<00:01, 3.19it/s] 50%|█████ | 5/10 [00:01<00:01, 3.21it/s] 60%|██████ | 6/10 [00:01<00:01, 3.19it/s] 70%|███████ | 7/10 [00:02<00:00, 3.18it/s] 80%|████████ | 8/10 [00:02<00:00, 3.20it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.20it/s] 100%|██████████| 10/10 [00:02<00:00, 3.76it/s] 100%|██████████| 10/10 [00:02<00:00, 3.36it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.33it/s] 20%|██ | 2/10 [00:00<00:02, 3.28it/s] 30%|███ | 3/10 [00:00<00:02, 3.23it/s] 40%|████ | 4/10 [00:01<00:01, 3.20it/s] 50%|█████ | 5/10 [00:01<00:01, 3.22it/s] 60%|██████ | 6/10 [00:01<00:01, 3.20it/s] 70%|███████ | 7/10 [00:02<00:00, 3.19it/s] 80%|████████ | 8/10 [00:02<00:00, 3.19it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.20it/s] 100%|██████████| 10/10 [00:02<00:00, 3.76it/s] 100%|██████████| 10/10 [00:02<00:00, 3.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.35it/s] 20%|██ | 2/10 [00:00<00:02, 3.30it/s] 30%|███ | 3/10 [00:00<00:02, 3.22it/s] 40%|████ | 4/10 [00:01<00:01, 3.19it/s] 50%|█████ | 5/10 [00:01<00:01, 3.20it/s] 60%|██████ | 6/10 [00:01<00:01, 3.21it/s] 70%|███████ | 7/10 [00:02<00:00, 3.18it/s] 80%|████████ | 8/10 [00:02<00:00, 3.19it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.19it/s] 100%|██████████| 10/10 [00:02<00:00, 3.76it/s] 100%|██████████| 10/10 [00:02<00:00, 3.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.31it/s] 20%|██ | 2/10 [00:00<00:02, 3.27it/s] 30%|███ | 3/10 [00:00<00:02, 3.20it/s] 40%|████ | 4/10 [00:01<00:01, 3.20it/s] 50%|█████ | 5/10 [00:01<00:01, 3.22it/s] 60%|██████ | 6/10 [00:01<00:01, 3.19it/s] 70%|███████ | 7/10 [00:02<00:00, 3.20it/s] 80%|████████ | 8/10 [00:02<00:00, 3.20it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.19it/s] 100%|██████████| 10/10 [00:02<00:00, 3.77it/s] 100%|██████████| 10/10 [00:02<00:00, 3.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Cute lady cleaning her home, Kodak, HD
negative_prompt
Specify things to not see in the output
(more than 1 eiffel tower:1.5), (low-quality worst-quality:1.5), monochrome, earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, (frame:1.5), (frames:1), nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
Restart
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
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/f1c681295ad4417b9c18019e4b01acef/00000-2035877008.webp
https://files.tungsten.run/uploads/2435ba21fd4348ce8d72f56a8548ea4d/00001-2035877009.webp
https://files.tungsten.run/uploads/5f93b6e0443f4a59ba4a820e3aba05e6/00002-2035877010.webp
https://files.tungsten.run/uploads/d67951cde5664d65b75fa9ed228f62c5/00003-2035877011.webp
Finished in 76.9 seconds
Setting up the model... Preparing inputs... Processing... Using seed 2035877008 Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: Cute lady cleaning her home, Kodak, HD Full negative prompt: (more than 1 eiffel tower:1.5), (low-quality worst-quality:1.5), monochrome, earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, (frame:1.5), (frames:1), nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:25, 1.33s/it] 10%|█ | 2/20 [00:02<00:23, 1.33s/it] 15%|█▌ | 3/20 [00:04<00:22, 1.34s/it] 20%|██ | 4/20 [00:05<00:21, 1.34s/it] 25%|██▌ | 5/20 [00:06<00:20, 1.35s/it] 30%|███ | 6/20 [00:08<00:18, 1.35s/it] 35%|███▌ | 7/20 [00:09<00:17, 1.35s/it] 40%|████ | 8/20 [00:10<00:16, 1.35s/it] 45%|████▌ | 9/20 [00:12<00:14, 1.36s/it] 50%|█████ | 10/20 [00:13<00:13, 1.37s/it] 55%|█████▌ | 11/20 [00:14<00:12, 1.37s/it] 60%|██████ | 12/20 [00:16<00:10, 1.36s/it] 65%|██████▌ | 13/20 [00:17<00:09, 1.36s/it] 70%|███████ | 14/20 [00:18<00:08, 1.37s/it] 75%|███████▌ | 15/20 [00:20<00:06, 1.37s/it] 80%|████████ | 16/20 [00:21<00:05, 1.37s/it] 85%|████████▌ | 17/20 [00:23<00:04, 1.37s/it] 90%|█████████ | 18/20 [00:24<00:02, 1.37s/it] 95%|█████████▌| 19/20 [00:25<00:01, 1.37s/it] 100%|██████████| 20/20 [00:26<00:00, 1.17s/it] 100%|██████████| 20/20 [00:26<00:00, 1.33s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.1ms preprocess, 7.8ms inference, 31.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.09it/s] 20%|██ | 2/10 [00:00<00:03, 2.63it/s] 30%|███ | 3/10 [00:01<00:02, 2.83it/s] 40%|████ | 4/10 [00:01<00:02, 2.92it/s] 50%|█████ | 5/10 [00:01<00:01, 3.02it/s] 60%|██████ | 6/10 [00:02<00:01, 3.07it/s] 70%|███████ | 7/10 [00:02<00:00, 3.06it/s] 80%|████████ | 8/10 [00:02<00:00, 3.09it/s] 90%|█████████ | 9/10 [00:03<00:00, 3.12it/s] 100%|██████████| 10/10 [00:03<00:00, 3.67it/s] 100%|██████████| 10/10 [00:03<00:00, 3.14it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.29it/s] 20%|██ | 2/10 [00:00<00:02, 3.18it/s] 30%|███ | 3/10 [00:00<00:02, 3.16it/s] 40%|████ | 4/10 [00:01<00:01, 3.16it/s] 50%|█████ | 5/10 [00:01<00:01, 3.10it/s] 60%|██████ | 6/10 [00:01<00:01, 3.13it/s] 70%|███████ | 7/10 [00:02<00:00, 3.12it/s] 80%|████████ | 8/10 [00:02<00:00, 3.13it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.15it/s] 100%|██████████| 10/10 [00:03<00:00, 3.72it/s] 100%|██████████| 10/10 [00:03<00:00, 3.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.25it/s] 20%|██ | 2/10 [00:00<00:02, 3.22it/s] 30%|███ | 3/10 [00:00<00:02, 3.11it/s] 40%|████ | 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10/10 [00:03<00:00, 3.31it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.29it/s] 20%|██ | 2/10 [00:00<00:02, 3.24it/s] 30%|███ | 3/10 [00:00<00:02, 3.20it/s] 40%|████ | 4/10 [00:01<00:01, 3.17it/s] 50%|█████ | 5/10 [00:01<00:01, 3.16it/s] 60%|██████ | 6/10 [00:01<00:01, 3.16it/s] 70%|███████ | 7/10 [00:02<00:00, 3.14it/s] 80%|████████ | 8/10 [00:02<00:00, 3.16it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.16it/s] 100%|██████████| 10/10 [00:03<00:00, 3.71it/s] 100%|██████████| 10/10 [00:03<00:00, 3.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.30it/s] 20%|██ | 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| 3/10 [00:00<00:02, 3.23it/s] 40%|████ | 4/10 [00:01<00:01, 3.20it/s] 50%|█████ | 5/10 [00:01<00:01, 3.22it/s] 60%|██████ | 6/10 [00:01<00:01, 3.20it/s] 70%|███████ | 7/10 [00:02<00:00, 3.19it/s] 80%|████████ | 8/10 [00:02<00:00, 3.19it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.20it/s] 100%|██████████| 10/10 [00:02<00:00, 3.76it/s] 100%|██████████| 10/10 [00:02<00:00, 3.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.35it/s] 20%|██ | 2/10 [00:00<00:02, 3.30it/s] 30%|███ | 3/10 [00:00<00:02, 3.22it/s] 40%|████ | 4/10 [00:01<00:01, 3.19it/s] 50%|█████ | 5/10 [00:01<00:01, 3.20it/s] 60%|██████ | 6/10 [00:01<00:01, 3.21it/s] 70%|███████ | 7/10 [00:02<00:00, 3.18it/s] 80%|████████ | 8/10 [00:02<00:00, 3.19it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.19it/s] 100%|██████████| 10/10 [00:02<00:00, 3.76it/s] 100%|██████████| 10/10 [00:02<00:00, 3.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.31it/s] 20%|██ | 2/10 [00:00<00:02, 3.27it/s] 30%|███ | 3/10 [00:00<00:02, 3.20it/s] 40%|████ | 4/10 [00:01<00:01, 3.20it/s] 50%|█████ | 5/10 [00:01<00:01, 3.22it/s] 60%|██████ | 6/10 [00:01<00:01, 3.19it/s] 70%|███████ | 7/10 [00:02<00:00, 3.20it/s] 80%|████████ | 8/10 [00:02<00:00, 3.20it/s] 90%|█████████ | 9/10 [00:02<00:00, 3.19it/s] 100%|██████████| 10/10 [00:02<00:00, 3.77it/s] 100%|██████████| 10/10 [00:02<00:00, 3.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.