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/25ebd169a1784748a750157d73d430c3/00000-685385475.webp
https://files.tungsten.run/uploads/bee871bb9ff54ae097c88385366eabf5/00001-685385476.webp
https://files.tungsten.run/uploads/21e633cc0fa841b4b497e2e0909e60c9/00002-685385477.webp
https://files.tungsten.run/uploads/1983ed90982b4ac288ca2adfddfa885c/00003-685385478.webp
This example was created by evevalentine2017
Finished in 71.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: a high definition lowkey poignant portrait of a heartfelt 42 yo woman with a thoughtful gaze, (a top-fade hairstyle), keen eye, exciting female shapes in revealing clothes, chiaroscuro, ((veraciously changeable notable finest skin details)), (high fidelity softly shading, intricate, clustered, focused), <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, ng_deepnegative_v1_75t, CyberRealistic_Negative-neg, negative_hand-neg 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:52, 1.81s/it] 7%|▋ | 2/30 [00:03<00:42, 1.52s/it] 10%|█ | 3/30 [00:04<00:38, 1.42s/it] 13%|█▎ | 4/30 [00:05<00:35, 1.38s/it] 17%|█▋ | 5/30 [00:07<00:33, 1.36s/it] 20%|██ | 6/30 [00:08<00:32, 1.34s/it] 23%|██▎ | 7/30 [00:09<00:30, 1.33s/it] 27%|██▋ | 8/30 [00:11<00:29, 1.33s/it] 30%|███ | 9/30 [00:12<00:27, 1.33s/it] 33%|███▎ | 10/30 [00:13<00:26, 1.33s/it] 37%|███▋ | 11/30 [00:14<00:25, 1.33s/it] 40%|████ | 12/30 [00:16<00:23, 1.33s/it] 43%|████▎ | 13/30 [00:17<00:22, 1.33s/it] 47%|████▋ | 14/30 [00:18<00:21, 1.33s/it] 50%|█████ | 15/30 [00:20<00:19, 1.33s/it] 53%|█████▎ | 16/30 [00:21<00:18, 1.33s/it] 57%|█████▋ | 17/30 [00:22<00:17, 1.33s/it] 60%|██████ | 18/30 [00:24<00:16, 1.34s/it] 63%|██████▎ | 19/30 [00:25<00:14, 1.34s/it] 67%|██████▋ | 20/30 [00:26<00:13, 1.34s/it] 70%|███████ | 21/30 [00:28<00:12, 1.34s/it] 73%|███████▎ | 22/30 [00:29<00:10, 1.34s/it] 77%|███████▋ | 23/30 [00:31<00:09, 1.34s/it] 80%|████████ | 24/30 [00:32<00:08, 1.34s/it] 83%|████████▎ | 25/30 [00:33<00:06, 1.34s/it] 87%|████████▋ | 26/30 [00:35<00:05, 1.34s/it] 90%|█████████ | 27/30 [00:36<00:04, 1.34s/it] 93%|█████████▎| 28/30 [00:37<00:02, 1.34s/it] 97%|█████████▋| 29/30 [00:39<00:01, 1.34s/it] 100%|██████████| 30/30 [00:39<00:00, 1.14s/it] 100%|██████████| 30/30 [00:39<00:00, 1.32s/it] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.79s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 30.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.22it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.73it/s] 21%|██▏ | 3/14 [00:01<00:03, 2.91it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.98it/s] 36%|███▌ | 5/14 [00:01<00:02, 3.07it/s] 43%|████▎ | 6/14 [00:02<00:02, 3.09it/s] 50%|█████ | 7/14 [00:02<00:02, 3.10it/s] 57%|█████▋ | 8/14 [00:02<00:01, 3.14it/s] 64%|██████▍ | 9/14 [00:02<00:01, 3.16it/s] 71%|███████▏ | 10/14 [00:03<00:01, 3.16it/s] 79%|███████▊ | 11/14 [00:03<00:00, 3.12it/s] 86%|████████▌ | 12/14 [00:03<00:00, 3.13it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.14it/s] 100%|██████████| 14/14 [00:04<00:00, 3.70it/s] 100%|██████████| 14/14 [00:04<00:00, 3.18it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 3.25it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.24it/s] 21%|██▏ | 3/14 [00:00<00:03, 3.21it/s] 29%|██▊ | 4/14 [00:01<00:03, 3.15it/s] 36%|███▌ | 5/14 [00:01<00:02, 3.17it/s] 43%|████▎ | 6/14 [00:01<00:02, 3.18it/s] 50%|█████ | 7/14 [00:02<00:02, 3.16it/s] 57%|█████▋ | 8/14 [00:02<00:01, 3.18it/s] 64%|██████▍ | 9/14 [00:02<00:01, 3.19it/s] 71%|███████▏ | 10/14 [00:03<00:01, 3.17it/s] 79%|███████▊ | 11/14 [00:03<00:00, 3.18it/s] 86%|████████▌ | 12/14 [00:03<00:00, 3.19it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.18it/s] 100%|██████████| 14/14 [00:04<00:00, 3.71it/s] 100%|██████████| 14/14 [00:04<00:00, 3.29it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 8.1ms Speed: 2.8ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.32it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.28it/s] 21%|██▏ | 3/14 [00:00<00:03, 3.23it/s] 29%|██▊ | 4/14 [00:01<00:03, 3.19it/s] 36%|███▌ | 5/14 [00:01<00:02, 3.20it/s] 43%|████▎ | 6/14 [00:01<00:02, 3.20it/s] 50%|█████ | 7/14 [00:02<00:02, 3.18it/s] 57%|█████▋ | 8/14 [00:02<00:01, 3.18it/s] 64%|██████▍ | 9/14 [00:02<00:01, 3.19it/s] 71%|███████▏ | 10/14 [00:03<00:01, 3.18it/s] 79%|███████▊ | 11/14 [00:03<00:00, 3.19it/s] 86%|████████▌ | 12/14 [00:03<00:00, 3.19it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.17it/s] 100%|██████████| 14/14 [00:04<00:00, 3.73it/s] 100%|██████████| 14/14 [00:04<00:00, 3.31it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 8.9ms Speed: 2.8ms preprocess, 8.9ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.35it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.29it/s] 21%|██▏ | 3/14 [00:00<00:03, 3.23it/s] 29%|██▊ | 4/14 [00:01<00:03, 3.19it/s] 36%|███▌ | 5/14 [00:01<00:02, 3.18it/s] 43%|████▎ | 6/14 [00:01<00:02, 3.19it/s] 50%|█████ | 7/14 [00:02<00:02, 3.18it/s] 57%|█████▋ | 8/14 [00:02<00:01, 3.19it/s] 64%|██████▍ | 9/14 [00:02<00:01, 3.20it/s] 71%|███████▏ | 10/14 [00:03<00:01, 3.18it/s] 79%|███████▊ | 11/14 [00:03<00:00, 3.18it/s] 86%|████████▌ | 12/14 [00:03<00:00, 3.19it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.18it/s] 100%|██████████| 14/14 [00:04<00:00, 3.75it/s] 100%|██████████| 14/14 [00:04<00:00, 3.31it/s] Decoding latents in cuda:0... done in 0.41s 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 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/25ebd169a1784748a750157d73d430c3/00000-685385475.webp
https://files.tungsten.run/uploads/bee871bb9ff54ae097c88385366eabf5/00001-685385476.webp
https://files.tungsten.run/uploads/21e633cc0fa841b4b497e2e0909e60c9/00002-685385477.webp
https://files.tungsten.run/uploads/1983ed90982b4ac288ca2adfddfa885c/00003-685385478.webp
This example was created by evevalentine2017
Finished in 71.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: a high definition lowkey poignant portrait of a heartfelt 42 yo woman with a thoughtful gaze, (a top-fade hairstyle), keen eye, exciting female shapes in revealing clothes, chiaroscuro, ((veraciously changeable notable finest skin details)), (high fidelity softly shading, intricate, clustered, focused), <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, ng_deepnegative_v1_75t, CyberRealistic_Negative-neg, negative_hand-neg 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:52, 1.81s/it] 7%|▋ | 2/30 [00:03<00:42, 1.52s/it] 10%|█ | 3/30 [00:04<00:38, 1.42s/it] 13%|█▎ | 4/30 [00:05<00:35, 1.38s/it] 17%|█▋ | 5/30 [00:07<00:33, 1.36s/it] 20%|██ | 6/30 [00:08<00:32, 1.34s/it] 23%|██▎ | 7/30 [00:09<00:30, 1.33s/it] 27%|██▋ | 8/30 [00:11<00:29, 1.33s/it] 30%|███ | 9/30 [00:12<00:27, 1.33s/it] 33%|███▎ | 10/30 [00:13<00:26, 1.33s/it] 37%|███▋ | 11/30 [00:14<00:25, 1.33s/it] 40%|████ | 12/30 [00:16<00:23, 1.33s/it] 43%|████▎ | 13/30 [00:17<00:22, 1.33s/it] 47%|████▋ | 14/30 [00:18<00:21, 1.33s/it] 50%|█████ | 15/30 [00:20<00:19, 1.33s/it] 53%|█████▎ | 16/30 [00:21<00:18, 1.33s/it] 57%|█████▋ | 17/30 [00:22<00:17, 1.33s/it] 60%|██████ | 18/30 [00:24<00:16, 1.34s/it] 63%|██████▎ | 19/30 [00:25<00:14, 1.34s/it] 67%|██████▋ | 20/30 [00:26<00:13, 1.34s/it] 70%|███████ | 21/30 [00:28<00:12, 1.34s/it] 73%|███████▎ | 22/30 [00:29<00:10, 1.34s/it] 77%|███████▋ | 23/30 [00:31<00:09, 1.34s/it] 80%|████████ | 24/30 [00:32<00:08, 1.34s/it] 83%|████████▎ | 25/30 [00:33<00:06, 1.34s/it] 87%|████████▋ | 26/30 [00:35<00:05, 1.34s/it] 90%|█████████ | 27/30 [00:36<00:04, 1.34s/it] 93%|█████████▎| 28/30 [00:37<00:02, 1.34s/it] 97%|█████████▋| 29/30 [00:39<00:01, 1.34s/it] 100%|██████████| 30/30 [00:39<00:00, 1.14s/it] 100%|██████████| 30/30 [00:39<00:00, 1.32s/it] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.79s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 30.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.22it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.73it/s] 21%|██▏ | 3/14 [00:01<00:03, 2.91it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.98it/s] 36%|███▌ | 5/14 [00:01<00:02, 3.07it/s] 43%|████▎ | 6/14 [00:02<00:02, 3.09it/s] 50%|█████ | 7/14 [00:02<00:02, 3.10it/s] 57%|█████▋ | 8/14 [00:02<00:01, 3.14it/s] 64%|██████▍ | 9/14 [00:02<00:01, 3.16it/s] 71%|███████▏ | 10/14 [00:03<00:01, 3.16it/s] 79%|███████▊ | 11/14 [00:03<00:00, 3.12it/s] 86%|████████▌ | 12/14 [00:03<00:00, 3.13it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.14it/s] 100%|██████████| 14/14 [00:04<00:00, 3.70it/s] 100%|██████████| 14/14 [00:04<00:00, 3.18it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:04, 3.25it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.24it/s] 21%|██▏ | 3/14 [00:00<00:03, 3.21it/s] 29%|██▊ | 4/14 [00:01<00:03, 3.15it/s] 36%|███▌ | 5/14 [00:01<00:02, 3.17it/s] 43%|████▎ | 6/14 [00:01<00:02, 3.18it/s] 50%|█████ | 7/14 [00:02<00:02, 3.16it/s] 57%|█████▋ | 8/14 [00:02<00:01, 3.18it/s] 64%|██████▍ | 9/14 [00:02<00:01, 3.19it/s] 71%|███████▏ | 10/14 [00:03<00:01, 3.17it/s] 79%|███████▊ | 11/14 [00:03<00:00, 3.18it/s] 86%|████████▌ | 12/14 [00:03<00:00, 3.19it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.18it/s] 100%|██████████| 14/14 [00:04<00:00, 3.71it/s] 100%|██████████| 14/14 [00:04<00:00, 3.29it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 8.1ms Speed: 2.8ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.32it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.28it/s] 21%|██▏ | 3/14 [00:00<00:03, 3.23it/s] 29%|██▊ | 4/14 [00:01<00:03, 3.19it/s] 36%|███▌ | 5/14 [00:01<00:02, 3.20it/s] 43%|████▎ | 6/14 [00:01<00:02, 3.20it/s] 50%|█████ | 7/14 [00:02<00:02, 3.18it/s] 57%|█████▋ | 8/14 [00:02<00:01, 3.18it/s] 64%|██████▍ | 9/14 [00:02<00:01, 3.19it/s] 71%|███████▏ | 10/14 [00:03<00:01, 3.18it/s] 79%|███████▊ | 11/14 [00:03<00:00, 3.19it/s] 86%|████████▌ | 12/14 [00:03<00:00, 3.19it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.17it/s] 100%|██████████| 14/14 [00:04<00:00, 3.73it/s] 100%|██████████| 14/14 [00:04<00:00, 3.31it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 8.9ms Speed: 2.8ms preprocess, 8.9ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.35it/s] 14%|█▍ | 2/14 [00:00<00:03, 3.29it/s] 21%|██▏ | 3/14 [00:00<00:03, 3.23it/s] 29%|██▊ | 4/14 [00:01<00:03, 3.19it/s] 36%|███▌ | 5/14 [00:01<00:02, 3.18it/s] 43%|████▎ | 6/14 [00:01<00:02, 3.19it/s] 50%|█████ | 7/14 [00:02<00:02, 3.18it/s] 57%|█████▋ | 8/14 [00:02<00:01, 3.19it/s] 64%|██████▍ | 9/14 [00:02<00:01, 3.20it/s] 71%|███████▏ | 10/14 [00:03<00:01, 3.18it/s] 79%|███████▊ | 11/14 [00:03<00:00, 3.18it/s] 86%|████████▌ | 12/14 [00:03<00:00, 3.19it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.18it/s] 100%|██████████| 14/14 [00:04<00:00, 3.75it/s] 100%|██████████| 14/14 [00:04<00:00, 3.31it/s] Decoding latents in cuda:0... done in 0.41s 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 4 with 2nd settings. Uploading outputs... Finished.