omni-diffuse
omni-diffuse
3 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/9b73fab7c25c4c908b00148f5a6fbbbd/00000-734155426.webp
https://files.tungsten.run/uploads/deb0f6fcf710469ca1f7429b5802e78f/00001-734155427.webp
https://files.tungsten.run/uploads/e6e25e652649451388336d7d7e7f7947/00002-734155428.webp
https://files.tungsten.run/uploads/9a17eb33bac74018a0afcfb097a7f486/00003-734155429.webp
This example was created by evevalentine2017
Finished in 48.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: ((Masterpiece)), ((best quality)), ((professional photo)), ((perfect anatomy)), ((best light)), a high-definition photograph shows a 24 yo fascinating northern (hottie in a bandeau mini dress), fashionista, attractive gentle facial features, loose hair, ((firm) bust), nightlife, nightclub, tainted love, highlighted, (appropriate material structure, authenticity, proper exposure), (glossy skin:1.5), (volumetric), <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: low resolution, ((mannequin, silicon doll, render)), childish, explicit nubile, painting, digitalart, poor collage, photoshopped, distortion, dysfunctional, augmented, detached, ripped, minor background, easynegative, boring_e621_v4, negative_hand-neg 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:34, 1.19s/it] 7%|▋ | 2/30 [00:01<00:24, 1.14it/s] 10%|█ | 3/30 [00:02<00:20, 1.30it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.38it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.43it/s] 20%|██ | 6/30 [00:04<00:16, 1.47it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.49it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.50it/s] 30%|███ | 9/30 [00:06<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.52it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:08<00:11, 1.52it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.53it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.53it/s] 50%|█████ | 15/30 [00:10<00:09, 1.53it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.53it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.53it/s] 60%|██████ | 18/30 [00:12<00:07, 1.53it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.53it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.53it/s] 70%|███████ | 21/30 [00:14<00:05, 1.52it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.52it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.52it/s] 80%|████████ | 24/30 [00:16<00:03, 1.52it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.51it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.52it/s] 90%|█████████ | 27/30 [00:18<00:01, 1.52it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.52it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.52it/s] 100%|██████████| 30/30 [00:20<00:00, 1.52it/s] 100%|██████████| 30/30 [00:20<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.3ms Speed: 3.4ms preprocess, 9.3ms inference, 34.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 3.24it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.65it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.35it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.78it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.02it/s] 43%|████▎ | 6/14 [00:01<00:01, 6.12it/s] 50%|█████ | 7/14 [00:01<00:01, 6.16it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.25it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.33it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.38it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.40it/s] 86%|████████▌ | 12/14 [00:02<00:00, 6.41it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.38it/s] 100%|██████████| 14/14 [00:02<00:00, 6.03it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.8ms Speed: 2.7ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.94it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.44it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.46it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.47it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.45it/s] 50%|█████ | 7/14 [00:01<00:01, 6.40it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.40it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.46it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.47it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.44it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.39it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.91it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.66it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.60it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.57it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.54it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.46it/s] 50%|█████ | 7/14 [00:01<00:01, 6.39it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.42it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.46it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.47it/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: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.10it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.32it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.43it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.49it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.42it/s] 50%|█████ | 7/14 [00:01<00:01, 6.35it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.38it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.40it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.44it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.46it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.33it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/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: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.93it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.68it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.62it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.60it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.59it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.45it/s] 50%|█████ | 7/14 [00:01<00:01, 6.37it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.40it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.42it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.44it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.46it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.89it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.67it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.60it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.55it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.53it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.46it/s] 50%|█████ | 7/14 [00:01<00:01, 6.46it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.45it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.46it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.49it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.46it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.40it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
https://files.tungsten.run/uploads/9b73fab7c25c4c908b00148f5a6fbbbd/00000-734155426.webp
https://files.tungsten.run/uploads/deb0f6fcf710469ca1f7429b5802e78f/00001-734155427.webp
https://files.tungsten.run/uploads/e6e25e652649451388336d7d7e7f7947/00002-734155428.webp
https://files.tungsten.run/uploads/9a17eb33bac74018a0afcfb097a7f486/00003-734155429.webp
This example was created by evevalentine2017
Finished in 48.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: ((Masterpiece)), ((best quality)), ((professional photo)), ((perfect anatomy)), ((best light)), a high-definition photograph shows a 24 yo fascinating northern (hottie in a bandeau mini dress), fashionista, attractive gentle facial features, loose hair, ((firm) bust), nightlife, nightclub, tainted love, highlighted, (appropriate material structure, authenticity, proper exposure), (glossy skin:1.5), (volumetric), <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: low resolution, ((mannequin, silicon doll, render)), childish, explicit nubile, painting, digitalart, poor collage, photoshopped, distortion, dysfunctional, augmented, detached, ripped, minor background, easynegative, boring_e621_v4, negative_hand-neg 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:34, 1.19s/it] 7%|▋ | 2/30 [00:01<00:24, 1.14it/s] 10%|█ | 3/30 [00:02<00:20, 1.30it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.38it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.43it/s] 20%|██ | 6/30 [00:04<00:16, 1.47it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.49it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.50it/s] 30%|███ | 9/30 [00:06<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.52it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:08<00:11, 1.52it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.53it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.53it/s] 50%|█████ | 15/30 [00:10<00:09, 1.53it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.53it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.53it/s] 60%|██████ | 18/30 [00:12<00:07, 1.53it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.53it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.53it/s] 70%|███████ | 21/30 [00:14<00:05, 1.52it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.52it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.52it/s] 80%|████████ | 24/30 [00:16<00:03, 1.52it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.51it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.52it/s] 90%|█████████ | 27/30 [00:18<00:01, 1.52it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.52it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.52it/s] 100%|██████████| 30/30 [00:20<00:00, 1.52it/s] 100%|██████████| 30/30 [00:20<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.3ms Speed: 3.4ms preprocess, 9.3ms inference, 34.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 3.24it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.65it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.35it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.78it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.02it/s] 43%|████▎ | 6/14 [00:01<00:01, 6.12it/s] 50%|█████ | 7/14 [00:01<00:01, 6.16it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.25it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.33it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.38it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.40it/s] 86%|████████▌ | 12/14 [00:02<00:00, 6.41it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.38it/s] 100%|██████████| 14/14 [00:02<00:00, 6.03it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.8ms Speed: 2.7ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.94it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.44it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.46it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.47it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.45it/s] 50%|█████ | 7/14 [00:01<00:01, 6.40it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.40it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.46it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.47it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.44it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.39it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.91it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.66it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.60it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.57it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.54it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.46it/s] 50%|█████ | 7/14 [00:01<00:01, 6.39it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.42it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.46it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.47it/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: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.10it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.32it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.43it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.49it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.42it/s] 50%|█████ | 7/14 [00:01<00:01, 6.35it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.38it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.40it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.44it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.46it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.33it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/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: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.93it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.68it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.62it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.60it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.59it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.45it/s] 50%|█████ | 7/14 [00:01<00:01, 6.37it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.40it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.42it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.44it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.46it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.89it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.67it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.60it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.55it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.53it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.46it/s] 50%|█████ | 7/14 [00:01<00:01, 6.46it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.45it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.46it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.49it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.46it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.40it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.