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Land Rover with Coma
coma:v2.0
evevalentine2017
evevalentine2017
·
12/20/2023
357
Input
prompt
Specify things to see in the output
land rover, in the forest, snow, blizzard, mist, soldiers, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
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.
2017248718
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
DPM++ 2M Karras
samping_steps
Number of denoising steps
28
cfg_scale
Scale for classifier-free guidance
7.5
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>
add_detail.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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
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/742161e76e9a4105aad4c1aefca1a2ff/00000-2017248718.webp
https://files.tungsten.run/uploads/3698e30a6590433fb5670934ad84ca2d/00001-2017248719.webp
https://files.tungsten.run/uploads/29e5935d81a54835ad10dcfd76bf869b/00002-2017248720.webp
https://files.tungsten.run/uploads/23e400b93b9c48d08de4b5eb8cd03cd9/00003-2017248721.webp
Finished in 43.0 seconds
v2.0: Pulling from evevalentine2017/coma 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 030de23c0760: Already exists 6750f519be11: Pull complete 6f4425c3157e: Pull complete c438f24b3113: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: land rover, in the forest, snow, blizzard, mist, soldiers, <lora:add_brightness:0.2> Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:35, 1.30s/it] 7%|▋ | 2/28 [00:01<00:23, 1.10it/s] 11%|█ | 3/28 [00:02<00:19, 1.27it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.36it/s] 18%|█▊ | 5/28 [00:03<00:16, 1.43it/s] 21%|██▏ | 6/28 [00:04<00:15, 1.46it/s] 25%|██▌ | 7/28 [00:05<00:14, 1.49it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.51it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.52it/s] 36%|███▌ | 10/28 [00:07<00:11, 1.53it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.53it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.53it/s] 46%|████▋ | 13/28 [00:09<00:09, 1.54it/s] 50%|█████ | 14/28 [00:09<00:09, 1.53it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.54it/s] 57%|█████▋ | 16/28 [00:11<00:07, 1.54it/s] 61%|██████ | 17/28 [00:11<00:07, 1.54it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.54it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.54it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.53it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.54it/s] 79%|███████▊ | 22/28 [00:14<00:03, 1.53it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.53it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.53it/s] 89%|████████▉ | 25/28 [00:16<00:01, 1.53it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.53it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.53it/s] 100%|██████████| 28/28 [00:18<00:00, 1.53it/s] 100%|██████████| 28/28 [00:18<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.5ms Speed: 3.4ms preprocess, 8.5ms inference, 35.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.25it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.68it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.40it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.81it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.08it/s] 38%|███▊ | 6/16 [00:01<00:01, 6.19it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.22it/s] 50%|█████ | 8/16 [00:01<00:01, 6.30it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.38it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.45it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.50it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.42it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.42it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.43it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.46it/s] 100%|██████████| 16/16 [00:02<00:00, 6.49it/s] 100%|██████████| 16/16 [00:02<00:00, 6.13it/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: 3.1ms preprocess, 7.5ms 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, 10.7ms Speed: 2.9ms preprocess, 10.7ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.93it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.75it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.68it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.60it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.59it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.53it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.43it/s] 50%|█████ | 8/16 [00:01<00:01, 6.45it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.50it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.51it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.53it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.52it/s] 81%|████████▏ | 13/16 [00:01<00:00, 6.49it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.47it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.49it/s] 100%|██████████| 16/16 [00:02<00:00, 6.52it/s] 100%|██████████| 16/16 [00:02<00:00, 6.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 2 hands, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.95it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.72it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.65it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.64it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.64it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.58it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.48it/s] 50%|█████ | 8/16 [00:01<00:01, 6.47it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.52it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.30it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.39it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.43it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.43it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.42it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.47it/s] 100%|██████████| 16/16 [00:02<00:00, 6.48it/s] 100%|██████████| 16/16 [00:02<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.84it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.69it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.65it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.62it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.51it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.41it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.42it/s] 50%|█████ | 8/16 [00:01<00:01, 6.48it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.50it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.54it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.53it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.49it/s] 81%|████████▏ | 13/16 [00:01<00:00, 6.46it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.46it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.49it/s] 100%|██████████| 16/16 [00:02<00:00, 6.54it/s] 100%|██████████| 16/16 [00:02<00:00, 6.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
land rover, in the forest, snow, blizzard, mist, soldiers, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
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.
2017248718
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
DPM++ 2M Karras
samping_steps
Number of denoising steps
28
cfg_scale
Scale for classifier-free guidance
7.5
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>
add_detail.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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
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/742161e76e9a4105aad4c1aefca1a2ff/00000-2017248718.webp
https://files.tungsten.run/uploads/3698e30a6590433fb5670934ad84ca2d/00001-2017248719.webp
https://files.tungsten.run/uploads/29e5935d81a54835ad10dcfd76bf869b/00002-2017248720.webp
https://files.tungsten.run/uploads/23e400b93b9c48d08de4b5eb8cd03cd9/00003-2017248721.webp
Finished in 43.0 seconds
v2.0: Pulling from evevalentine2017/coma 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 030de23c0760: Already exists 6750f519be11: Pull complete 6f4425c3157e: Pull complete c438f24b3113: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: land rover, in the forest, snow, blizzard, mist, soldiers, <lora:add_brightness:0.2> Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:35, 1.30s/it] 7%|▋ | 2/28 [00:01<00:23, 1.10it/s] 11%|█ | 3/28 [00:02<00:19, 1.27it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.36it/s] 18%|█▊ | 5/28 [00:03<00:16, 1.43it/s] 21%|██▏ | 6/28 [00:04<00:15, 1.46it/s] 25%|██▌ | 7/28 [00:05<00:14, 1.49it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.51it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.52it/s] 36%|███▌ | 10/28 [00:07<00:11, 1.53it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.53it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.53it/s] 46%|████▋ | 13/28 [00:09<00:09, 1.54it/s] 50%|█████ | 14/28 [00:09<00:09, 1.53it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.54it/s] 57%|█████▋ | 16/28 [00:11<00:07, 1.54it/s] 61%|██████ | 17/28 [00:11<00:07, 1.54it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.54it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.54it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.53it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.54it/s] 79%|███████▊ | 22/28 [00:14<00:03, 1.53it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.53it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.53it/s] 89%|████████▉ | 25/28 [00:16<00:01, 1.53it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.53it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.53it/s] 100%|██████████| 28/28 [00:18<00:00, 1.53it/s] 100%|██████████| 28/28 [00:18<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.5ms Speed: 3.4ms preprocess, 8.5ms inference, 35.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.25it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.68it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.40it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.81it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.08it/s] 38%|███▊ | 6/16 [00:01<00:01, 6.19it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.22it/s] 50%|█████ | 8/16 [00:01<00:01, 6.30it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.38it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.45it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.50it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.42it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.42it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.43it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.46it/s] 100%|██████████| 16/16 [00:02<00:00, 6.49it/s] 100%|██████████| 16/16 [00:02<00:00, 6.13it/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: 3.1ms preprocess, 7.5ms 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, 10.7ms Speed: 2.9ms preprocess, 10.7ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.93it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.75it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.68it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.60it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.59it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.53it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.43it/s] 50%|█████ | 8/16 [00:01<00:01, 6.45it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.50it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.51it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.53it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.52it/s] 81%|████████▏ | 13/16 [00:01<00:00, 6.49it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.47it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.49it/s] 100%|██████████| 16/16 [00:02<00:00, 6.52it/s] 100%|██████████| 16/16 [00:02<00:00, 6.53it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 2 hands, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.95it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.72it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.65it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.64it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.64it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.58it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.48it/s] 50%|█████ | 8/16 [00:01<00:01, 6.47it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.52it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.30it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.39it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.43it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.43it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.42it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.47it/s] 100%|██████████| 16/16 [00:02<00:00, 6.48it/s] 100%|██████████| 16/16 [00:02<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.84it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.69it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.65it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.62it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.51it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.41it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.42it/s] 50%|█████ | 8/16 [00:01<00:01, 6.48it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.50it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.54it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.53it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.49it/s] 81%|████████▏ | 13/16 [00:01<00:00, 6.46it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.46it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.49it/s] 100%|██████████| 16/16 [00:02<00:00, 6.54it/s] 100%|██████████| 16/16 [00:02<00:00, 6.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.