Asian Reality with Magmix
·
12/09/2023
385
Input
prompt
Specify things to see in the output
Woman, look at viewer, streetwear outfit, alley, vending machine, trash can, air conditioner, night sky, gloomy light, wide shot
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.8), (illustration, 3d, 2d, painting, cartoons, sketch), bad teeth, open mount, (nude)
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1114746693
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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 Karras
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
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.
false
Output
https://files.tungsten.run/uploads/c19ad912bde3441aaac8df012e360dbe/00000-1114746693.png
https://files.tungsten.run/uploads/945f5087d64e4980a8041a0ff00d9d7f/00001-1114746694.png
https://files.tungsten.run/uploads/d2c401eca19645cc9da3d7449b90fcd4/00002-1114746695.png
https://files.tungsten.run/uploads/78758549b655443fbe23f4f2d6231860/00003-1114746696.png
Finished in 43.3 seconds
v9.0: Pulling from evevalentine2017/magmix 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 235071021718: Already exists 1d599917b0e2: Pull complete 3da40b0445d3: Pull complete e9768a6ac00f: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Woman, look at viewer, streetwear outfit, alley, vending machine, trash can, air conditioner, night sky, gloomy light, wide shot, (insanely detailed:1.5), (ultra realistic:1.5), (real life photo:1.5), (top quality:1.5), (masterpiece:1.5), <lora:add_detail:0.1> Full negative prompt: (worst quality, low quality:1.8), (illustration, 3d, 2d, painting, cartoons, sketch), bad teeth, open mount, (nude) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:23, 1.21s/it] 10%|█ | 2/20 [00:01<00:15, 1.14it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.30it/s] 20%|██ | 4/20 [00:03<00:11, 1.38it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.44it/s] 30%|███ | 6/20 [00:04<00:09, 1.48it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.49it/s] 40%|████ | 8/20 [00:05<00:07, 1.51it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.52it/s] 50%|█████ | 10/20 [00:07<00:06, 1.53it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.53it/s] 60%|██████ | 12/20 [00:08<00:05, 1.53it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.53it/s] 70%|███████ | 14/20 [00:09<00:03, 1.54it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.54it/s] 80%|████████ | 16/20 [00:10<00:02, 1.54it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.54it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.54it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.54it/s] 100%|██████████| 20/20 [00:13<00:00, 1.54it/s] 100%|██████████| 20/20 [00:13<00:00, 1.48it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.89s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.1ms Speed: 4.4ms preprocess, 8.1ms inference, 12.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.8ms 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, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 12.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.22it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.64it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.38it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.65it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.03it/s] 50%|█████ | 6/12 [00:01<00:00, 6.15it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.23it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.27it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.37it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.42it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.50it/s] 100%|██████████| 12/12 [00:01<00:00, 6.52it/s] 100%|██████████| 12/12 [00:01<00:00, 6.01it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 7.01it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.81it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.73it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.74it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.71it/s] 50%|█████ | 6/12 [00:00<00:00, 6.53it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.44it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.41it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.44it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.49it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.56it/s] 100%|██████████| 12/12 [00:01<00:00, 6.55it/s] 100%|██████████| 12/12 [00:01<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 8.1ms Speed: 3.1ms preprocess, 8.1ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.97it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.74it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.71it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.67it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.67it/s] 50%|█████ | 6/12 [00:00<00:00, 6.61it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.30it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.32it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.38it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.45it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.51it/s] 100%|██████████| 12/12 [00:01<00:00, 6.53it/s] 100%|██████████| 12/12 [00:01<00:00, 6.53it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.76it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.63it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.61it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.62it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.55it/s] 50%|█████ | 6/12 [00:00<00:00, 6.48it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.45it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.48it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.52it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.45it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.47it/s] 100%|██████████| 12/12 [00:01<00:00, 6.43it/s] 100%|██████████| 12/12 [00:01<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 3.0ms preprocess, 7.1ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.92it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.74it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.68it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.33it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.49it/s] 50%|█████ | 6/12 [00:00<00:00, 6.47it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.42it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.43it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.47it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.49it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.48it/s] 100%|██████████| 12/12 [00:01<00:00, 6.50it/s] 100%|██████████| 12/12 [00:01<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 7.01it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.81it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.73it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.70it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.67it/s] 50%|█████ | 6/12 [00:00<00:00, 6.58it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.51it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.47it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.49it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.50it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.53it/s] 100%|██████████| 12/12 [00:01<00:00, 6.53it/s] 100%|██████████| 12/12 [00:01<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt
Specify things to see in the output
Woman, look at viewer, streetwear outfit, alley, vending machine, trash can, air conditioner, night sky, gloomy light, wide shot
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.8), (illustration, 3d, 2d, painting, cartoons, sketch), bad teeth, open mount, (nude)
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1114746693
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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 Karras
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
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.
false
https://files.tungsten.run/uploads/c19ad912bde3441aaac8df012e360dbe/00000-1114746693.png
https://files.tungsten.run/uploads/945f5087d64e4980a8041a0ff00d9d7f/00001-1114746694.png
https://files.tungsten.run/uploads/d2c401eca19645cc9da3d7449b90fcd4/00002-1114746695.png
https://files.tungsten.run/uploads/78758549b655443fbe23f4f2d6231860/00003-1114746696.png
Finished in 43.3 seconds
v9.0: Pulling from evevalentine2017/magmix 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 235071021718: Already exists 1d599917b0e2: Pull complete 3da40b0445d3: Pull complete e9768a6ac00f: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Woman, look at viewer, streetwear outfit, alley, vending machine, trash can, air conditioner, night sky, gloomy light, wide shot, (insanely detailed:1.5), (ultra realistic:1.5), (real life photo:1.5), (top quality:1.5), (masterpiece:1.5), <lora:add_detail:0.1> Full negative prompt: (worst quality, low quality:1.8), (illustration, 3d, 2d, painting, cartoons, sketch), bad teeth, open mount, (nude) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:23, 1.21s/it] 10%|█ | 2/20 [00:01<00:15, 1.14it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.30it/s] 20%|██ | 4/20 [00:03<00:11, 1.38it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.44it/s] 30%|███ | 6/20 [00:04<00:09, 1.48it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.49it/s] 40%|████ | 8/20 [00:05<00:07, 1.51it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.52it/s] 50%|█████ | 10/20 [00:07<00:06, 1.53it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.53it/s] 60%|██████ | 12/20 [00:08<00:05, 1.53it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.53it/s] 70%|███████ | 14/20 [00:09<00:03, 1.54it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.54it/s] 80%|████████ | 16/20 [00:10<00:02, 1.54it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.54it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.54it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.54it/s] 100%|██████████| 20/20 [00:13<00:00, 1.54it/s] 100%|██████████| 20/20 [00:13<00:00, 1.48it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.89s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.1ms Speed: 4.4ms preprocess, 8.1ms inference, 12.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.8ms 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, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 12.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.22it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.64it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.38it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.65it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.03it/s] 50%|█████ | 6/12 [00:01<00:00, 6.15it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.23it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.27it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.37it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.42it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.50it/s] 100%|██████████| 12/12 [00:01<00:00, 6.52it/s] 100%|██████████| 12/12 [00:01<00:00, 6.01it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 7.01it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.81it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.73it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.74it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.71it/s] 50%|█████ | 6/12 [00:00<00:00, 6.53it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.44it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.41it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.44it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.49it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.56it/s] 100%|██████████| 12/12 [00:01<00:00, 6.55it/s] 100%|██████████| 12/12 [00:01<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 8.1ms Speed: 3.1ms preprocess, 8.1ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.97it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.74it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.71it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.67it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.67it/s] 50%|█████ | 6/12 [00:00<00:00, 6.61it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.30it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.32it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.38it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.45it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.51it/s] 100%|██████████| 12/12 [00:01<00:00, 6.53it/s] 100%|██████████| 12/12 [00:01<00:00, 6.53it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.76it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.63it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.61it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.62it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.55it/s] 50%|█████ | 6/12 [00:00<00:00, 6.48it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.45it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.48it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.52it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.45it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.47it/s] 100%|██████████| 12/12 [00:01<00:00, 6.43it/s] 100%|██████████| 12/12 [00:01<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 3.0ms preprocess, 7.1ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.92it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.74it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.68it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.33it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.49it/s] 50%|█████ | 6/12 [00:00<00:00, 6.47it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.42it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.43it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.47it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.49it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.48it/s] 100%|██████████| 12/12 [00:01<00:00, 6.50it/s] 100%|██████████| 12/12 [00:01<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 7.01it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.81it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.73it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.70it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.67it/s] 50%|█████ | 6/12 [00:00<00:00, 6.58it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.51it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.47it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.49it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.50it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.53it/s] 100%|██████████| 12/12 [00:01<00:00, 6.53it/s] 100%|██████████| 12/12 [00:01<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.