Futurecity with Landscape Bing
Input
prompt
Specify things to see in the output
masterpiece, best quality, absurdres, futurecity, day, a bustling city street filled with people walking and riding bicycles. The street is lined with tall buildings, creating a futuristic atmosphere. There are numerous people walking along the sidewalk, some carrying handbags and backpacks. A few individuals are riding bicycles, adding to the lively scene, <lora:cyber-000009:0.5>, <lora:more_details:0.8>, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000
num_outputs
Number of output images
4
width
Output image width
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0.3
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3437863337
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 SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_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/1127cf4d5f154498873c2d942bdd5305/00000-3437863337.webp
https://files.tungsten.run/uploads/1752d4cf7df341848702a4602431db31/00001-3437863338.webp
https://files.tungsten.run/uploads/b311ee39534a4337922c132b0a25135e/00002-3437863339.webp
https://files.tungsten.run/uploads/cdc9a24bd12c487babce4b0441b4248e/00003-3437863340.webp
Finished in 117.5 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, absurdres, futurecity, day, a bustling city street filled with people walking and riding bicycles. The street is lined with tall buildings, creating a futuristic atmosphere. There are numerous people walking along the sidewalk, some carrying handbags and backpacks. A few individuals are riding bicycles, adding to the lively scene, <lora:cyber-000009:0.5>, <lora:more_details:0.8>, <lora:epiCRealismHelper:1>, <lora:add_saturation:0.3> Full negative prompt: bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:06, 2.31s/it] 7%|▋ | 2/30 [00:04<01:04, 2.30s/it] 10%|█ | 3/30 [00:06<01:02, 2.31s/it] 13%|█▎ | 4/30 [00:09<01:01, 2.37s/it] 17%|█▋ | 5/30 [00:11<01:00, 2.42s/it] 20%|██ | 6/30 [00:14<00:58, 2.42s/it] 23%|██▎ | 7/30 [00:16<00:54, 2.38s/it] 27%|██▋ | 8/30 [00:18<00:52, 2.37s/it] 30%|███ | 9/30 [00:21<00:50, 2.41s/it] 33%|███▎ | 10/30 [00:23<00:48, 2.40s/it] 37%|███▋ | 11/30 [00:26<00:45, 2.40s/it] 40%|████ | 12/30 [00:28<00:42, 2.37s/it] 43%|████▎ | 13/30 [00:30<00:40, 2.37s/it] 47%|████▋ | 14/30 [00:32<00:36, 2.28s/it] 50%|█████ | 15/30 [00:35<00:33, 2.24s/it] 53%|█████▎ | 16/30 [00:37<00:30, 2.19s/it] 57%|█████▋ | 17/30 [00:39<00:28, 2.20s/it] 60%|██████ | 18/30 [00:41<00:27, 2.25s/it] 63%|██████▎ | 19/30 [00:43<00:24, 2.22s/it] 67%|██████▋ | 20/30 [00:46<00:22, 2.26s/it] 70%|███████ | 21/30 [00:48<00:20, 2.22s/it] 73%|███████▎ | 22/30 [00:50<00:17, 2.24s/it] 77%|███████▋ | 23/30 [00:52<00:15, 2.15s/it] 80%|████████ | 24/30 [00:54<00:12, 2.07s/it] 83%|████████▎ | 25/30 [00:56<00:10, 2.08s/it] 87%|████████▋ | 26/30 [00:58<00:08, 2.11s/it] 90%|█████████ | 27/30 [01:00<00:06, 2.10s/it] 93%|█████████▎| 28/30 [01:02<00:04, 2.09s/it] 97%|█████████▋| 29/30 [01:04<00:01, 1.86s/it] 100%|██████████| 30/30 [01:05<00:00, 1.58s/it] 100%|██████████| 30/30 [01:05<00:00, 2.17s/it] Decoding latents in cuda:0... done in 1.31s Move latents to cpu... done in 0.03s 0: 480x640 1 face, 162.2ms Speed: 2.4ms preprocess, 162.2ms inference, 23.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.55it/s] 14%|█▍ | 2/14 [00:01<00:07, 1.64it/s] 21%|██▏ | 3/14 [00:01<00:06, 1.76it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.79it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.85it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.85it/s] 50%|█████ | 7/14 [00:03<00:03, 1.97it/s] 57%|█████▋ | 8/14 [00:04<00:02, 2.05it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.04it/s] 71%|███████▏ | 10/14 [00:05<00:02, 2.00it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.00it/s] 86%|████████▌ | 12/14 [00:06<00:00, 2.01it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.29it/s] 100%|██████████| 14/14 [00:06<00:00, 2.72it/s] 100%|██████████| 14/14 [00:06<00:00, 2.08it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 102.9ms Speed: 2.4ms preprocess, 102.9ms inference, 0.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 480x640 1 face, 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.88it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.89it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.91it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.88it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.91it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.90it/s] 50%|█████ | 7/14 [00:03<00:03, 2.01it/s] 57%|█████▋ | 8/14 [00:04<00:02, 2.08it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.07it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.98it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.95it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.98it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.26it/s] 100%|██████████| 14/14 [00:06<00:00, 2.69it/s] 100%|██████████| 14/14 [00:06<00:00, 2.12it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.8ms Speed: 2.3ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 (no detections), 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 480x640 (no detections), 7.5ms Speed: 2.3ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 480x640 3 faces, 10.1ms Speed: 3.3ms preprocess, 10.1ms inference, 1.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.87it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.88it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.85it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.83it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.88it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.87it/s] 50%|█████ | 7/14 [00:03<00:03, 1.98it/s] 57%|█████▋ | 8/14 [00:04<00:02, 2.03it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.03it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.99it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.00it/s] 86%|████████▌ | 12/14 [00:06<00:00, 2.02it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.22it/s] 100%|██████████| 14/14 [00:06<00:00, 2.65it/s] 100%|██████████| 14/14 [00:06<00:00, 2.10it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:07, 1.85it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.87it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.91it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.79it/s] 36%|███▌ | 5/14 [00:02<00:05, 1.78it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.76it/s] 50%|█████ | 7/14 [00:03<00:03, 1.88it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.94it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.93it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.92it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.94it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.97it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.25it/s] 100%|██████████| 14/14 [00:06<00:00, 2.67it/s] 100%|██████████| 14/14 [00:06<00:00, 2.05it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.89it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.89it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.88it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.86it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.90it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.89it/s] 50%|█████ | 7/14 [00:03<00:03, 2.00it/s] 57%|█████▋ | 8/14 [00:04<00:02, 2.07it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.06it/s] 71%|███████▏ | 10/14 [00:05<00:01, 2.01it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.02it/s] 86%|████████▌ | 12/14 [00:06<00:00, 2.03it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.31it/s] 100%|██████████| 14/14 [00:06<00:00, 2.74it/s] 100%|██████████| 14/14 [00:06<00:00, 2.13it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.6ms Speed: 2.3ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
masterpiece, best quality, absurdres, futurecity, day, a bustling city street filled with people walking and riding bicycles. The street is lined with tall buildings, creating a futuristic atmosphere. There are numerous people walking along the sidewalk, some carrying handbags and backpacks. A few individuals are riding bicycles, adding to the lively scene, <lora:cyber-000009:0.5>, <lora:more_details:0.8>, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000
num_outputs
Number of output images
4
width
Output image width
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0.3
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3437863337
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 SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_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/1127cf4d5f154498873c2d942bdd5305/00000-3437863337.webp
https://files.tungsten.run/uploads/1752d4cf7df341848702a4602431db31/00001-3437863338.webp
https://files.tungsten.run/uploads/b311ee39534a4337922c132b0a25135e/00002-3437863339.webp
https://files.tungsten.run/uploads/cdc9a24bd12c487babce4b0441b4248e/00003-3437863340.webp
Finished in 117.5 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, absurdres, futurecity, day, a bustling city street filled with people walking and riding bicycles. The street is lined with tall buildings, creating a futuristic atmosphere. There are numerous people walking along the sidewalk, some carrying handbags and backpacks. A few individuals are riding bicycles, adding to the lively scene, <lora:cyber-000009:0.5>, <lora:more_details:0.8>, <lora:epiCRealismHelper:1>, <lora:add_saturation:0.3> Full negative prompt: bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:06, 2.31s/it] 7%|▋ | 2/30 [00:04<01:04, 2.30s/it] 10%|█ | 3/30 [00:06<01:02, 2.31s/it] 13%|█▎ | 4/30 [00:09<01:01, 2.37s/it] 17%|█▋ | 5/30 [00:11<01:00, 2.42s/it] 20%|██ | 6/30 [00:14<00:58, 2.42s/it] 23%|██▎ | 7/30 [00:16<00:54, 2.38s/it] 27%|██▋ | 8/30 [00:18<00:52, 2.37s/it] 30%|███ | 9/30 [00:21<00:50, 2.41s/it] 33%|███▎ | 10/30 [00:23<00:48, 2.40s/it] 37%|███▋ | 11/30 [00:26<00:45, 2.40s/it] 40%|████ | 12/30 [00:28<00:42, 2.37s/it] 43%|████▎ | 13/30 [00:30<00:40, 2.37s/it] 47%|████▋ | 14/30 [00:32<00:36, 2.28s/it] 50%|█████ | 15/30 [00:35<00:33, 2.24s/it] 53%|█████▎ | 16/30 [00:37<00:30, 2.19s/it] 57%|█████▋ | 17/30 [00:39<00:28, 2.20s/it] 60%|██████ | 18/30 [00:41<00:27, 2.25s/it] 63%|██████▎ | 19/30 [00:43<00:24, 2.22s/it] 67%|██████▋ | 20/30 [00:46<00:22, 2.26s/it] 70%|███████ | 21/30 [00:48<00:20, 2.22s/it] 73%|███████▎ | 22/30 [00:50<00:17, 2.24s/it] 77%|███████▋ | 23/30 [00:52<00:15, 2.15s/it] 80%|████████ | 24/30 [00:54<00:12, 2.07s/it] 83%|████████▎ | 25/30 [00:56<00:10, 2.08s/it] 87%|████████▋ | 26/30 [00:58<00:08, 2.11s/it] 90%|█████████ | 27/30 [01:00<00:06, 2.10s/it] 93%|█████████▎| 28/30 [01:02<00:04, 2.09s/it] 97%|█████████▋| 29/30 [01:04<00:01, 1.86s/it] 100%|██████████| 30/30 [01:05<00:00, 1.58s/it] 100%|██████████| 30/30 [01:05<00:00, 2.17s/it] Decoding latents in cuda:0... done in 1.31s Move latents to cpu... done in 0.03s 0: 480x640 1 face, 162.2ms Speed: 2.4ms preprocess, 162.2ms inference, 23.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.55it/s] 14%|█▍ | 2/14 [00:01<00:07, 1.64it/s] 21%|██▏ | 3/14 [00:01<00:06, 1.76it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.79it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.85it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.85it/s] 50%|█████ | 7/14 [00:03<00:03, 1.97it/s] 57%|█████▋ | 8/14 [00:04<00:02, 2.05it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.04it/s] 71%|███████▏ | 10/14 [00:05<00:02, 2.00it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.00it/s] 86%|████████▌ | 12/14 [00:06<00:00, 2.01it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.29it/s] 100%|██████████| 14/14 [00:06<00:00, 2.72it/s] 100%|██████████| 14/14 [00:06<00:00, 2.08it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 102.9ms Speed: 2.4ms preprocess, 102.9ms inference, 0.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 480x640 1 face, 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.88it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.89it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.91it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.88it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.91it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.90it/s] 50%|█████ | 7/14 [00:03<00:03, 2.01it/s] 57%|█████▋ | 8/14 [00:04<00:02, 2.08it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.07it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.98it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.95it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.98it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.26it/s] 100%|██████████| 14/14 [00:06<00:00, 2.69it/s] 100%|██████████| 14/14 [00:06<00:00, 2.12it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.8ms Speed: 2.3ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 (no detections), 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 480x640 (no detections), 7.5ms Speed: 2.3ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 480x640 3 faces, 10.1ms Speed: 3.3ms preprocess, 10.1ms inference, 1.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.87it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.88it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.85it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.83it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.88it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.87it/s] 50%|█████ | 7/14 [00:03<00:03, 1.98it/s] 57%|█████▋ | 8/14 [00:04<00:02, 2.03it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.03it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.99it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.00it/s] 86%|████████▌ | 12/14 [00:06<00:00, 2.02it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.22it/s] 100%|██████████| 14/14 [00:06<00:00, 2.65it/s] 100%|██████████| 14/14 [00:06<00:00, 2.10it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:07, 1.85it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.87it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.91it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.79it/s] 36%|███▌ | 5/14 [00:02<00:05, 1.78it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.76it/s] 50%|█████ | 7/14 [00:03<00:03, 1.88it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.94it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.93it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.92it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.94it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.97it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.25it/s] 100%|██████████| 14/14 [00:06<00:00, 2.67it/s] 100%|██████████| 14/14 [00:06<00:00, 2.05it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.89it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.89it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.88it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.86it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.90it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.89it/s] 50%|█████ | 7/14 [00:03<00:03, 2.00it/s] 57%|█████▋ | 8/14 [00:04<00:02, 2.07it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.06it/s] 71%|███████▏ | 10/14 [00:05<00:01, 2.01it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.02it/s] 86%|████████▌ | 12/14 [00:06<00:00, 2.03it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.31it/s] 100%|██████████| 14/14 [00:06<00:00, 2.74it/s] 100%|██████████| 14/14 [00:06<00:00, 2.13it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.6ms Speed: 2.3ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.