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Battle Mechs with Real Life
real-life:v3.0
evevalentine2017
evevalentine2017
·
12/10/2023
358
Input
prompt
Specify things to see in the output
<lora:bmech:1>, photo realisitc, best quality, masterpiece, highly detailed, ultra-detailed, RAW, analog style, (Bmecha no humans:1.3), sharp focus, volumetric fog, 8k uhd, dslr, high quality, film grain, Fujifilm XT3 giant robot standing in a field, battlemech, mech, ((8k, RAW photo, highest quality, realistic:2, masterpiece, ultra high resolution, CG 8K wallpapers)), (shiny metal), physics-based rendering, centered full body, explosion everywhere, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, EasyNegativeV2
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.
2338751918
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
15
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.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>
bmech.safetensors
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)
ng_deepnegative_v1_75t.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/84ab9bb0b8f548faa3c38ce597fd8e24/00000-2338751918.png
https://files.tungsten.run/uploads/198e65856049455fba7ff18ad0fdfe86/00001-2338751919.png
https://files.tungsten.run/uploads/b78ac577d95d415ea47ff114e2b59a20/00002-2338751920.png
https://files.tungsten.run/uploads/d5361e5201ac40eca9a76e7d0779c2b2/00003-2338751921.png
Finished in 46.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: <lora:bmech:1>, photo realisitc, best quality, masterpiece, highly detailed, ultra-detailed, RAW, analog style, (Bmecha no humans:1.3), sharp focus, volumetric fog, 8k uhd, dslr, high quality, film grain, Fujifilm XT3 giant robot standing in a field, battlemech, mech, ((8k, RAW photo, highest quality, realistic:2, masterpiece, ultra high resolution, CG 8K wallpapers)), (shiny metal), physics-based rendering, centered full body, explosion everywhere, <lora:more_details:0.7>, (ultra realistic:1.5), (ultra detailed: 1.5), (top quality: 1.5), (masterpiece: 1.5), <lora:add_detail:0.1> Full negative prompt: ng_deepnegative_v1_75t, EasyNegativeV2 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:19, 1.40s/it] 13%|█▎ | 2/15 [00:02<00:12, 1.06it/s] 20%|██ | 3/15 [00:02<00:09, 1.26it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.37it/s] 33%|███▎ | 5/15 [00:03<00:06, 1.45it/s] 40%|████ | 6/15 [00:04<00:06, 1.50it/s] 47%|████▋ | 7/15 [00:05<00:05, 1.52it/s] 53%|█████▎ | 8/15 [00:05<00:04, 1.55it/s] 60%|██████ | 9/15 [00:06<00:03, 1.56it/s] 67%|██████▋ | 10/15 [00:07<00:03, 1.57it/s] 73%|███████▎ | 11/15 [00:07<00:02, 1.58it/s] 80%|████████ | 12/15 [00:08<00:01, 1.59it/s] 87%|████████▋ | 13/15 [00:08<00:01, 1.59it/s] 93%|█████████▎| 14/15 [00:09<00:00, 1.59it/s] 100%|██████████| 15/15 [00:10<00:00, 1.60it/s] 100%|██████████| 15/15 [00:10<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.5ms Speed: 4.6ms preprocess, 8.5ms inference, 11.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 22.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.49it/s] 22%|██▏ | 2/9 [00:00<00:01, 3.52it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.06it/s] 44%|████▍ | 4/9 [00:01<00:01, 4.30it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.48it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.62it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.71it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.63it/s] 100%|██████████| 9/9 [00:02<00:00, 4.71it/s] 100%|██████████| 9/9 [00:02<00:00, 4.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 2 hands, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.92it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.95it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.78it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.86it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.88it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.89it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.92it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.73it/s] 100%|██████████| 9/9 [00:01<00:00, 4.78it/s] 100%|██████████| 9/9 [00:01<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.48it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.72it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.81it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.85it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.89it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.79it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.83it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.83it/s] 100%|██████████| 9/9 [00:01<00:00, 4.85it/s] 100%|██████████| 9/9 [00:01<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 3 hands, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.72it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.80it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.84it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.86it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.88it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.88it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.87it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.90it/s] 100%|██████████| 9/9 [00:01<00:00, 4.93it/s] 100%|██████████| 9/9 [00:01<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.94it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.96it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.98it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.87it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.87it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.87it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.85it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.83it/s] 100%|██████████| 9/9 [00:01<00:00, 4.68it/s] 100%|██████████| 9/9 [00:01<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 3.91it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.97it/s] 33%|███▎ | 3/9 [00:00<00:01, 3.59it/s] 44%|████▍ | 4/9 [00:01<00:01, 4.03it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.31it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.48it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.46it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.57it/s] 100%|██████████| 9/9 [00:02<00:00, 4.66it/s] 100%|██████████| 9/9 [00:02<00:00, 4.27it/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: 3.0ms preprocess, 7.7ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 2 hands, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 5.00it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.77it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.86it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.87it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.87it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.87it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.74it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.79it/s] 100%|██████████| 9/9 [00:01<00:00, 4.84it/s] 100%|██████████| 9/9 [00:01<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.77it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.91it/s] 33%|███▎ | 3/9 [00:00<00:01, 3.54it/s] 44%|████▍ | 4/9 [00:01<00:01, 3.84it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.15it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.37it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.52it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.59it/s] 100%|██████████| 9/9 [00:02<00:00, 4.62it/s] 100%|██████████| 9/9 [00:02<00:00, 4.24it/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
<lora:bmech:1>, photo realisitc, best quality, masterpiece, highly detailed, ultra-detailed, RAW, analog style, (Bmecha no humans:1.3), sharp focus, volumetric fog, 8k uhd, dslr, high quality, film grain, Fujifilm XT3 giant robot standing in a field, battlemech, mech, ((8k, RAW photo, highest quality, realistic:2, masterpiece, ultra high resolution, CG 8K wallpapers)), (shiny metal), physics-based rendering, centered full body, explosion everywhere, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, EasyNegativeV2
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.
2338751918
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
15
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.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>
bmech.safetensors
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)
ng_deepnegative_v1_75t.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/84ab9bb0b8f548faa3c38ce597fd8e24/00000-2338751918.png
https://files.tungsten.run/uploads/198e65856049455fba7ff18ad0fdfe86/00001-2338751919.png
https://files.tungsten.run/uploads/b78ac577d95d415ea47ff114e2b59a20/00002-2338751920.png
https://files.tungsten.run/uploads/d5361e5201ac40eca9a76e7d0779c2b2/00003-2338751921.png
Finished in 46.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: <lora:bmech:1>, photo realisitc, best quality, masterpiece, highly detailed, ultra-detailed, RAW, analog style, (Bmecha no humans:1.3), sharp focus, volumetric fog, 8k uhd, dslr, high quality, film grain, Fujifilm XT3 giant robot standing in a field, battlemech, mech, ((8k, RAW photo, highest quality, realistic:2, masterpiece, ultra high resolution, CG 8K wallpapers)), (shiny metal), physics-based rendering, centered full body, explosion everywhere, <lora:more_details:0.7>, (ultra realistic:1.5), (ultra detailed: 1.5), (top quality: 1.5), (masterpiece: 1.5), <lora:add_detail:0.1> Full negative prompt: ng_deepnegative_v1_75t, EasyNegativeV2 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:19, 1.40s/it] 13%|█▎ | 2/15 [00:02<00:12, 1.06it/s] 20%|██ | 3/15 [00:02<00:09, 1.26it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.37it/s] 33%|███▎ | 5/15 [00:03<00:06, 1.45it/s] 40%|████ | 6/15 [00:04<00:06, 1.50it/s] 47%|████▋ | 7/15 [00:05<00:05, 1.52it/s] 53%|█████▎ | 8/15 [00:05<00:04, 1.55it/s] 60%|██████ | 9/15 [00:06<00:03, 1.56it/s] 67%|██████▋ | 10/15 [00:07<00:03, 1.57it/s] 73%|███████▎ | 11/15 [00:07<00:02, 1.58it/s] 80%|████████ | 12/15 [00:08<00:01, 1.59it/s] 87%|████████▋ | 13/15 [00:08<00:01, 1.59it/s] 93%|█████████▎| 14/15 [00:09<00:00, 1.59it/s] 100%|██████████| 15/15 [00:10<00:00, 1.60it/s] 100%|██████████| 15/15 [00:10<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.5ms Speed: 4.6ms preprocess, 8.5ms inference, 11.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 22.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.49it/s] 22%|██▏ | 2/9 [00:00<00:01, 3.52it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.06it/s] 44%|████▍ | 4/9 [00:01<00:01, 4.30it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.48it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.62it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.71it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.63it/s] 100%|██████████| 9/9 [00:02<00:00, 4.71it/s] 100%|██████████| 9/9 [00:02<00:00, 4.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 2 hands, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.92it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.95it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.78it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.86it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.88it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.89it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.92it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.73it/s] 100%|██████████| 9/9 [00:01<00:00, 4.78it/s] 100%|██████████| 9/9 [00:01<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.48it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.72it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.81it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.85it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.89it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.79it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.83it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.83it/s] 100%|██████████| 9/9 [00:01<00:00, 4.85it/s] 100%|██████████| 9/9 [00:01<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 3 hands, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.72it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.80it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.84it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.86it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.88it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.88it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.87it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.90it/s] 100%|██████████| 9/9 [00:01<00:00, 4.93it/s] 100%|██████████| 9/9 [00:01<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.94it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.96it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.98it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.87it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.87it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.87it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.85it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.83it/s] 100%|██████████| 9/9 [00:01<00:00, 4.68it/s] 100%|██████████| 9/9 [00:01<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 3.91it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.97it/s] 33%|███▎ | 3/9 [00:00<00:01, 3.59it/s] 44%|████▍ | 4/9 [00:01<00:01, 4.03it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.31it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.48it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.46it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.57it/s] 100%|██████████| 9/9 [00:02<00:00, 4.66it/s] 100%|██████████| 9/9 [00:02<00:00, 4.27it/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: 3.0ms preprocess, 7.7ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 2 hands, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 5.00it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.77it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.86it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.87it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.87it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.87it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.74it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.79it/s] 100%|██████████| 9/9 [00:01<00:00, 4.84it/s] 100%|██████████| 9/9 [00:01<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.77it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.91it/s] 33%|███▎ | 3/9 [00:00<00:01, 3.54it/s] 44%|████▍ | 4/9 [00:01<00:01, 3.84it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.15it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.37it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.52it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.59it/s] 100%|██████████| 9/9 [00:02<00:00, 4.62it/s] 100%|██████████| 9/9 [00:02<00:00, 4.24it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Finished.