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/13f1dd07bfe64886b2dc0aa81b0dacec/00000-3064235394.webp
https://files.tungsten.run/uploads/8a472dab63734390a9512043aad68280/00001-3064235395.webp
https://files.tungsten.run/uploads/70f6076d4c9a497d99aec6444fb13360/00002-3064235396.webp
https://files.tungsten.run/uploads/ecec23ebb320429bb259b0c455b68128/00003-3064235397.webp
This example was created by evevalentine2017
Finished in 65.2 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)), sensual high-definition photograph, rear view of 1 scruffy sexiest woman, (solo), looking back, ((by night)), ((beach)), outdoors, moonlight, (full moon), ocean, (facial awareness, anatomically accurate), ((finest skin details in spotlight, focused, high-precision realness depiction, faithful soft shadows)), (appropriate material structure, authenticity, proper exposure), (glossy skin:1), (volumetric), ((sarong)), ((shoulderplates)), <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: nsfw, breasts, nipples, indoors, sunset, daylight, midday, 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<00:36, 1.24s/it] 7%|▋ | 2/30 [00:01<00:25, 1.11it/s] 10%|█ | 3/30 [00:02<00:21, 1.27it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.36it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.42it/s] 20%|██ | 6/30 [00:04<00:16, 1.45it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.47it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.48it/s] 30%|███ | 9/30 [00:06<00:14, 1.49it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.50it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.50it/s] 40%|████ | 12/30 [00:08<00:11, 1.51it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.51it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:10<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.51it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:12<00:07, 1.51it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:14<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.51it/s] 80%|████████ | 24/30 [00:16<00:03, 1.51it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.51it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.51it/s] 90%|█████████ | 27/30 [00:18<00:01, 1.51it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.50it/s] 100%|██████████| 30/30 [00:20<00:00, 1.51it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 32.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.44it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.44it/s] 21%|██▏ | 3/14 [00:00<00:02, 3.99it/s] 29%|██▊ | 4/14 [00:01<00:02, 4.32it/s] 36%|███▌ | 5/14 [00:01<00:02, 4.49it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.52it/s] 50%|█████ | 7/14 [00:01<00:01, 4.59it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.37it/s] 64%|██████▍ | 9/14 [00:02<00:01, 4.36it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.40it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.52it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.62it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.70it/s] 100%|██████████| 14/14 [00:03<00:00, 4.76it/s] 100%|██████████| 14/14 [00:03<00:00, 4.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms 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, 4.66it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.82it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.73it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.76it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.82it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.87it/s] 50%|█████ | 7/14 [00:01<00:01, 4.87it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.79it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.81it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.78it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.80it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.80it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.66it/s] 100%|██████████| 14/14 [00:02<00:00, 4.67it/s] 100%|██████████| 14/14 [00:02<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.6ms Speed: 3.8ms preprocess, 7.6ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.85it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.91it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.80it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.84it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.86it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.89it/s] 50%|█████ | 7/14 [00:01<00:01, 4.80it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.73it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.69it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.73it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.75it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.78it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.70it/s] 100%|██████████| 14/14 [00:02<00:00, 4.72it/s] 100%|██████████| 14/14 [00:02<00:00, 4.77it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.85it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.50it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.68it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.77it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.82it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.78it/s] 50%|█████ | 7/14 [00:01<00:01, 4.81it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.77it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.74it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.74it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.68it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.75it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.76it/s] 100%|██████████| 14/14 [00:02<00:00, 4.80it/s] 100%|██████████| 14/14 [00:02<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.72it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.72it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.79it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.86it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.86it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.85it/s] 50%|█████ | 7/14 [00:01<00:01, 4.78it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.79it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.82it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.78it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.74it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.77it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.81it/s] 100%|██████████| 14/14 [00:02<00:00, 4.87it/s] 100%|██████████| 14/14 [00:02<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.7ms preprocess, 7.2ms 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, 4.78it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.67it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.71it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.77it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.75it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.77it/s] 50%|█████ | 7/14 [00:01<00:01, 4.72it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.79it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.83it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.85it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.83it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.72it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.75it/s] 100%|██████████| 14/14 [00:02<00:00, 4.80it/s] 100%|██████████| 14/14 [00:02<00:00, 4.78it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.76it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.72it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.70it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.33it/s] 36%|███▌ | 5/14 [00:01<00:02, 4.49it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.58it/s] 50%|█████ | 7/14 [00:01<00:01, 4.62it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.65it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.72it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.70it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.70it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.71it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.76it/s] 100%|██████████| 14/14 [00:02<00:00, 4.81it/s] 100%|██████████| 14/14 [00:02<00:00, 4.68it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.78it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.81it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.80it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.78it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.77it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.84it/s] 50%|█████ | 7/14 [00:01<00:01, 4.83it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.82it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.78it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.80it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.84it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.80it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.84it/s] 100%|██████████| 14/14 [00:02<00:00, 4.89it/s] 100%|██████████| 14/14 [00:02<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.71it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.80it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.82it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.82it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.72it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.76it/s] 50%|█████ | 7/14 [00:01<00:01, 4.81it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.78it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.80it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.79it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.81it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.79it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.79it/s] 100%|██████████| 14/14 [00:02<00:00, 4.83it/s] 100%|██████████| 14/14 [00:02<00:00, 4.80it/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
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/13f1dd07bfe64886b2dc0aa81b0dacec/00000-3064235394.webp
https://files.tungsten.run/uploads/8a472dab63734390a9512043aad68280/00001-3064235395.webp
https://files.tungsten.run/uploads/70f6076d4c9a497d99aec6444fb13360/00002-3064235396.webp
https://files.tungsten.run/uploads/ecec23ebb320429bb259b0c455b68128/00003-3064235397.webp
This example was created by evevalentine2017
Finished in 65.2 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)), sensual high-definition photograph, rear view of 1 scruffy sexiest woman, (solo), looking back, ((by night)), ((beach)), outdoors, moonlight, (full moon), ocean, (facial awareness, anatomically accurate), ((finest skin details in spotlight, focused, high-precision realness depiction, faithful soft shadows)), (appropriate material structure, authenticity, proper exposure), (glossy skin:1), (volumetric), ((sarong)), ((shoulderplates)), <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: nsfw, breasts, nipples, indoors, sunset, daylight, midday, 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<00:36, 1.24s/it] 7%|▋ | 2/30 [00:01<00:25, 1.11it/s] 10%|█ | 3/30 [00:02<00:21, 1.27it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.36it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.42it/s] 20%|██ | 6/30 [00:04<00:16, 1.45it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.47it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.48it/s] 30%|███ | 9/30 [00:06<00:14, 1.49it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.50it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.50it/s] 40%|████ | 12/30 [00:08<00:11, 1.51it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.51it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:10<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.51it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:12<00:07, 1.51it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:14<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.51it/s] 80%|████████ | 24/30 [00:16<00:03, 1.51it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.51it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.51it/s] 90%|█████████ | 27/30 [00:18<00:01, 1.51it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.50it/s] 100%|██████████| 30/30 [00:20<00:00, 1.51it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 32.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.44it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.44it/s] 21%|██▏ | 3/14 [00:00<00:02, 3.99it/s] 29%|██▊ | 4/14 [00:01<00:02, 4.32it/s] 36%|███▌ | 5/14 [00:01<00:02, 4.49it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.52it/s] 50%|█████ | 7/14 [00:01<00:01, 4.59it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.37it/s] 64%|██████▍ | 9/14 [00:02<00:01, 4.36it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.40it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.52it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.62it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.70it/s] 100%|██████████| 14/14 [00:03<00:00, 4.76it/s] 100%|██████████| 14/14 [00:03<00:00, 4.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms 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, 4.66it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.82it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.73it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.76it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.82it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.87it/s] 50%|█████ | 7/14 [00:01<00:01, 4.87it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.79it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.81it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.78it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.80it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.80it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.66it/s] 100%|██████████| 14/14 [00:02<00:00, 4.67it/s] 100%|██████████| 14/14 [00:02<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.6ms Speed: 3.8ms preprocess, 7.6ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.85it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.91it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.80it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.84it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.86it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.89it/s] 50%|█████ | 7/14 [00:01<00:01, 4.80it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.73it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.69it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.73it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.75it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.78it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.70it/s] 100%|██████████| 14/14 [00:02<00:00, 4.72it/s] 100%|██████████| 14/14 [00:02<00:00, 4.77it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.85it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.50it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.68it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.77it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.82it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.78it/s] 50%|█████ | 7/14 [00:01<00:01, 4.81it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.77it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.74it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.74it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.68it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.75it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.76it/s] 100%|██████████| 14/14 [00:02<00:00, 4.80it/s] 100%|██████████| 14/14 [00:02<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.72it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.72it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.79it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.86it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.86it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.85it/s] 50%|█████ | 7/14 [00:01<00:01, 4.78it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.79it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.82it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.78it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.74it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.77it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.81it/s] 100%|██████████| 14/14 [00:02<00:00, 4.87it/s] 100%|██████████| 14/14 [00:02<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.7ms preprocess, 7.2ms 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, 4.78it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.67it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.71it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.77it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.75it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.77it/s] 50%|█████ | 7/14 [00:01<00:01, 4.72it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.79it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.83it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.85it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.83it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.72it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.75it/s] 100%|██████████| 14/14 [00:02<00:00, 4.80it/s] 100%|██████████| 14/14 [00:02<00:00, 4.78it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.76it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.72it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.70it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.33it/s] 36%|███▌ | 5/14 [00:01<00:02, 4.49it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.58it/s] 50%|█████ | 7/14 [00:01<00:01, 4.62it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.65it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.72it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.70it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.70it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.71it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.76it/s] 100%|██████████| 14/14 [00:02<00:00, 4.81it/s] 100%|██████████| 14/14 [00:02<00:00, 4.68it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.78it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.81it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.80it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.78it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.77it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.84it/s] 50%|█████ | 7/14 [00:01<00:01, 4.83it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.82it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.78it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.80it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.84it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.80it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.84it/s] 100%|██████████| 14/14 [00:02<00:00, 4.89it/s] 100%|██████████| 14/14 [00:02<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.71it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.80it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.82it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.82it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.72it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.76it/s] 50%|█████ | 7/14 [00:01<00:01, 4.81it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.78it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.80it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.79it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.81it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.79it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.79it/s] 100%|██████████| 14/14 [00:02<00:00, 4.83it/s] 100%|██████████| 14/14 [00:02<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.