tungsten-logo
Sign In
Pirate Spiders Having Beer with Albedo Base XL
albedo-base-xl:v2.0
evevalentine2017
evevalentine2017
·
Jan 27
366
Input
prompt
Specify things to see in the output
(Photorealistic), spider with pirate hat holding a beer, <lora:SDXL Detail:1>
negative_prompt
Specify things to not see in the output
amateur quality, vague shapes, vague texture, wrong perspective, ugly, dowdy style, ((badhandv4)), ((negative_hand-neg)), ((bad-hands-5))
num_outputs
Number of output images
3
width
Output image width
1344
height
Output image height
1344
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2264445158
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
40
cfg_scale
Scale for classifier-free guidance
12
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.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>
SDXL Detail.safetensors
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/a37c9e70c9634c679777700fcf9aa53f/00000-2264445158.webp
https://files.tungsten.run/uploads/9fcba5e00aee49d9adf8fe6ed8f694bf/00001-2264445159.webp
https://files.tungsten.run/uploads/b854e7384d9446d5bde1c8af8ecf9d6c/00002-2264445160.webp
Finished in 212.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (Photorealistic), spider with pirate hat holding a beer, <lora:SDXL Detail:1> Full negative prompt: amateur quality, vague shapes, vague texture, wrong perspective, ugly, dowdy style, ((badhandv4)), ((negative_hand-neg)), ((bad-hands-5)) 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:03<02:17, 3.52s/it] 5%|▌ | 2/40 [00:06<01:53, 2.98s/it] 8%|▊ | 3/40 [00:08<01:44, 2.81s/it] 10%|█ | 4/40 [00:11<01:38, 2.74s/it] 12%|█▎ | 5/40 [00:13<01:34, 2.70s/it] 15%|█▌ | 6/40 [00:16<01:31, 2.68s/it] 18%|█▊ | 7/40 [00:19<01:28, 2.67s/it] 20%|██ | 8/40 [00:21<01:25, 2.67s/it] 22%|██▎ | 9/40 [00:24<01:22, 2.67s/it] 25%|██▌ | 10/40 [00:27<01:19, 2.66s/it] 28%|██▊ | 11/40 [00:29<01:17, 2.66s/it] 30%|███ | 12/40 [00:32<01:14, 2.65s/it] 32%|███▎ | 13/40 [00:35<01:11, 2.65s/it] 35%|███▌ | 14/40 [00:37<01:08, 2.64s/it] 38%|███▊ | 15/40 [00:40<01:05, 2.63s/it] 40%|████ | 16/40 [00:43<01:03, 2.63s/it] 42%|████▎ | 17/40 [00:45<01:00, 2.62s/it] 45%|████▌ | 18/40 [00:48<00:57, 2.61s/it] 48%|████▊ | 19/40 [00:50<00:54, 2.61s/it] 50%|█████ | 20/40 [00:53<00:51, 2.60s/it] 52%|█████▎ | 21/40 [00:55<00:49, 2.59s/it] 55%|█████▌ | 22/40 [00:58<00:46, 2.59s/it] 57%|█████▊ | 23/40 [01:01<00:43, 2.59s/it] 60%|██████ | 24/40 [01:03<00:41, 2.58s/it] 62%|██████▎ | 25/40 [01:06<00:38, 2.58s/it] 65%|██████▌ | 26/40 [01:08<00:36, 2.58s/it] 68%|██████▊ | 27/40 [01:11<00:33, 2.58s/it] 70%|███████ | 28/40 [01:14<00:30, 2.57s/it] 72%|███████▎ | 29/40 [01:16<00:28, 2.57s/it] 75%|███████▌ | 30/40 [01:19<00:25, 2.57s/it] 78%|███████▊ | 31/40 [01:21<00:23, 2.57s/it] 80%|████████ | 32/40 [01:24<00:20, 2.57s/it] 82%|████████▎ | 33/40 [01:26<00:18, 2.57s/it] 85%|████████▌ | 34/40 [01:29<00:15, 2.57s/it] 88%|████████▊ | 35/40 [01:32<00:12, 2.58s/it] 90%|█████████ | 36/40 [01:34<00:10, 2.58s/it] 92%|█████████▎| 37/40 [01:37<00:07, 2.58s/it] 95%|█████████▌| 38/40 [01:39<00:05, 2.58s/it] 98%|█████████▊| 39/40 [01:42<00:02, 2.58s/it] 100%|██████████| 40/40 [01:44<00:00, 2.58s/it] 100%|██████████| 40/40 [01:44<00:00, 2.62s/it] Decoding latents in cuda:0... done in 4.41s Move latents to cpu... done in 0.05s 0: 640x640 (no detections), 7.9ms Speed: 3.7ms preprocess, 7.9ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 2 hands, 7.5ms Speed: 3.3ms preprocess, 7.5ms inference, 16.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.32it/s] 11%|█ | 2/19 [00:01<00:13, 1.28it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.28it/s] 21%|██ | 4/19 [00:03<00:11, 1.28it/s] 26%|██▋ | 5/19 [00:03<00:10, 1.28it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.28it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.27it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.27it/s] 47%|████▋ | 9/19 [00:07<00:07, 1.27it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.27it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.27it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.27it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.26it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.26it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.26it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.25it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.25it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.25it/s] 100%|██████████| 19/19 [00:15<00:00, 1.25it/s] 100%|██████████| 19/19 [00:15<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.48s Move latents to cpu... done in 0.02s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.25it/s] 11%|█ | 2/19 [00:01<00:13, 1.25it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.25it/s] 21%|██ | 4/19 [00:03<00:12, 1.25it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.25it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.25it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.25it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.25it/s] 47%|████▋ | 9/19 [00:07<00:07, 1.25it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.25it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.25it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.25it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.25it/s] 74%|███████▎ | 14/19 [00:11<00:04, 1.25it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.25it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.25it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.25it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.26it/s] 100%|██████████| 19/19 [00:15<00:00, 1.26it/s] 100%|██████████| 19/19 [00:15<00:00, 1.25it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.8ms Speed: 3.4ms preprocess, 7.8ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 2 hands, 7.4ms Speed: 3.3ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.36it/s] 11%|█ | 2/19 [00:01<00:13, 1.29it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.27it/s] 21%|██ | 4/19 [00:03<00:11, 1.27it/s] 26%|██▋ | 5/19 [00:03<00:11, 1.27it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.26it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.26it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.26it/s] 47%|████▋ | 9/19 [00:07<00:07, 1.26it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.26it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.26it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.26it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.26it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.26it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.26it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.26it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.26it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.26it/s] 100%|██████████| 19/19 [00:15<00:00, 1.26it/s] 100%|██████████| 19/19 [00:15<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.27it/s] 11%|█ | 2/19 [00:01<00:13, 1.27it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.26it/s] 21%|██ | 4/19 [00:03<00:11, 1.26it/s] 26%|██▋ | 5/19 [00:03<00:11, 1.26it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.26it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.26it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.26it/s] 47%|████▋ | 9/19 [00:07<00:07, 1.26it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.26it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.26it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.26it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.26it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.26it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.26it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.26it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.26it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.26it/s] 100%|██████████| 19/19 [00:15<00:00, 1.27it/s] 100%|██████████| 19/19 [00:15<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.46s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 3.2ms 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 1 hand, 7.5ms Speed: 3.2ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.36it/s] 11%|█ | 2/19 [00:01<00:13, 1.30it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.28it/s] 21%|██ | 4/19 [00:03<00:11, 1.28it/s] 26%|██▋ | 5/19 [00:03<00:10, 1.28it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.27it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.27it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.27it/s] 47%|████▋ | 9/19 [00:07<00:07, 1.27it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.27it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.26it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.26it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.26it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.26it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.26it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.26it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.27it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.26it/s] 100%|██████████| 19/19 [00:14<00:00, 1.27it/s] 100%|██████████| 19/19 [00:14<00:00, 1.27it/s] Decoding latents in cuda:0... done in 1.46s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(Photorealistic), spider with pirate hat holding a beer, <lora:SDXL Detail:1>
negative_prompt
Specify things to not see in the output
amateur quality, vague shapes, vague texture, wrong perspective, ugly, dowdy style, ((badhandv4)), ((negative_hand-neg)), ((bad-hands-5))
num_outputs
Number of output images
3
width
Output image width
1344
height
Output image height
1344
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2264445158
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
40
cfg_scale
Scale for classifier-free guidance
12
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.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>
SDXL Detail.safetensors
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/a37c9e70c9634c679777700fcf9aa53f/00000-2264445158.webp
https://files.tungsten.run/uploads/9fcba5e00aee49d9adf8fe6ed8f694bf/00001-2264445159.webp
https://files.tungsten.run/uploads/b854e7384d9446d5bde1c8af8ecf9d6c/00002-2264445160.webp
Finished in 212.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (Photorealistic), spider with pirate hat holding a beer, <lora:SDXL Detail:1> Full negative prompt: amateur quality, vague shapes, vague texture, wrong perspective, ugly, dowdy style, ((badhandv4)), ((negative_hand-neg)), ((bad-hands-5)) 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:03<02:17, 3.52s/it] 5%|▌ | 2/40 [00:06<01:53, 2.98s/it] 8%|▊ | 3/40 [00:08<01:44, 2.81s/it] 10%|█ | 4/40 [00:11<01:38, 2.74s/it] 12%|█▎ | 5/40 [00:13<01:34, 2.70s/it] 15%|█▌ | 6/40 [00:16<01:31, 2.68s/it] 18%|█▊ | 7/40 [00:19<01:28, 2.67s/it] 20%|██ | 8/40 [00:21<01:25, 2.67s/it] 22%|██▎ | 9/40 [00:24<01:22, 2.67s/it] 25%|██▌ | 10/40 [00:27<01:19, 2.66s/it] 28%|██▊ | 11/40 [00:29<01:17, 2.66s/it] 30%|███ | 12/40 [00:32<01:14, 2.65s/it] 32%|███▎ | 13/40 [00:35<01:11, 2.65s/it] 35%|███▌ | 14/40 [00:37<01:08, 2.64s/it] 38%|███▊ | 15/40 [00:40<01:05, 2.63s/it] 40%|████ | 16/40 [00:43<01:03, 2.63s/it] 42%|████▎ | 17/40 [00:45<01:00, 2.62s/it] 45%|████▌ | 18/40 [00:48<00:57, 2.61s/it] 48%|████▊ | 19/40 [00:50<00:54, 2.61s/it] 50%|█████ | 20/40 [00:53<00:51, 2.60s/it] 52%|█████▎ | 21/40 [00:55<00:49, 2.59s/it] 55%|█████▌ | 22/40 [00:58<00:46, 2.59s/it] 57%|█████▊ | 23/40 [01:01<00:43, 2.59s/it] 60%|██████ | 24/40 [01:03<00:41, 2.58s/it] 62%|██████▎ | 25/40 [01:06<00:38, 2.58s/it] 65%|██████▌ | 26/40 [01:08<00:36, 2.58s/it] 68%|██████▊ | 27/40 [01:11<00:33, 2.58s/it] 70%|███████ | 28/40 [01:14<00:30, 2.57s/it] 72%|███████▎ | 29/40 [01:16<00:28, 2.57s/it] 75%|███████▌ | 30/40 [01:19<00:25, 2.57s/it] 78%|███████▊ | 31/40 [01:21<00:23, 2.57s/it] 80%|████████ | 32/40 [01:24<00:20, 2.57s/it] 82%|████████▎ | 33/40 [01:26<00:18, 2.57s/it] 85%|████████▌ | 34/40 [01:29<00:15, 2.57s/it] 88%|████████▊ | 35/40 [01:32<00:12, 2.58s/it] 90%|█████████ | 36/40 [01:34<00:10, 2.58s/it] 92%|█████████▎| 37/40 [01:37<00:07, 2.58s/it] 95%|█████████▌| 38/40 [01:39<00:05, 2.58s/it] 98%|█████████▊| 39/40 [01:42<00:02, 2.58s/it] 100%|██████████| 40/40 [01:44<00:00, 2.58s/it] 100%|██████████| 40/40 [01:44<00:00, 2.62s/it] Decoding latents in cuda:0... done in 4.41s Move latents to cpu... done in 0.05s 0: 640x640 (no detections), 7.9ms Speed: 3.7ms preprocess, 7.9ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 2 hands, 7.5ms Speed: 3.3ms preprocess, 7.5ms inference, 16.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.32it/s] 11%|█ | 2/19 [00:01<00:13, 1.28it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.28it/s] 21%|██ | 4/19 [00:03<00:11, 1.28it/s] 26%|██▋ | 5/19 [00:03<00:10, 1.28it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.28it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.27it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.27it/s] 47%|████▋ | 9/19 [00:07<00:07, 1.27it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.27it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.27it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.27it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.26it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.26it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.26it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.25it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.25it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.25it/s] 100%|██████████| 19/19 [00:15<00:00, 1.25it/s] 100%|██████████| 19/19 [00:15<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.48s Move latents to cpu... done in 0.02s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.25it/s] 11%|█ | 2/19 [00:01<00:13, 1.25it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.25it/s] 21%|██ | 4/19 [00:03<00:12, 1.25it/s] 26%|██▋ | 5/19 [00:04<00:11, 1.25it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.25it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.25it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.25it/s] 47%|████▋ | 9/19 [00:07<00:07, 1.25it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.25it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.25it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.25it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.25it/s] 74%|███████▎ | 14/19 [00:11<00:04, 1.25it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.25it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.25it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.25it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.26it/s] 100%|██████████| 19/19 [00:15<00:00, 1.26it/s] 100%|██████████| 19/19 [00:15<00:00, 1.25it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.8ms Speed: 3.4ms preprocess, 7.8ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 2 hands, 7.4ms Speed: 3.3ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.36it/s] 11%|█ | 2/19 [00:01<00:13, 1.29it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.27it/s] 21%|██ | 4/19 [00:03<00:11, 1.27it/s] 26%|██▋ | 5/19 [00:03<00:11, 1.27it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.26it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.26it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.26it/s] 47%|████▋ | 9/19 [00:07<00:07, 1.26it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.26it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.26it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.26it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.26it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.26it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.26it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.26it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.26it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.26it/s] 100%|██████████| 19/19 [00:15<00:00, 1.26it/s] 100%|██████████| 19/19 [00:15<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:14, 1.27it/s] 11%|█ | 2/19 [00:01<00:13, 1.27it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.26it/s] 21%|██ | 4/19 [00:03<00:11, 1.26it/s] 26%|██▋ | 5/19 [00:03<00:11, 1.26it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.26it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.26it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.26it/s] 47%|████▋ | 9/19 [00:07<00:07, 1.26it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.26it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.26it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.26it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.26it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.26it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.26it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.26it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.26it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.26it/s] 100%|██████████| 19/19 [00:15<00:00, 1.27it/s] 100%|██████████| 19/19 [00:15<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.46s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 3.2ms 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 1 hand, 7.5ms Speed: 3.2ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.36it/s] 11%|█ | 2/19 [00:01<00:13, 1.30it/s] 16%|█▌ | 3/19 [00:02<00:12, 1.28it/s] 21%|██ | 4/19 [00:03<00:11, 1.28it/s] 26%|██▋ | 5/19 [00:03<00:10, 1.28it/s] 32%|███▏ | 6/19 [00:04<00:10, 1.27it/s] 37%|███▋ | 7/19 [00:05<00:09, 1.27it/s] 42%|████▏ | 8/19 [00:06<00:08, 1.27it/s] 47%|████▋ | 9/19 [00:07<00:07, 1.27it/s] 53%|█████▎ | 10/19 [00:07<00:07, 1.27it/s] 58%|█████▊ | 11/19 [00:08<00:06, 1.26it/s] 63%|██████▎ | 12/19 [00:09<00:05, 1.26it/s] 68%|██████▊ | 13/19 [00:10<00:04, 1.26it/s] 74%|███████▎ | 14/19 [00:11<00:03, 1.26it/s] 79%|███████▉ | 15/19 [00:11<00:03, 1.26it/s] 84%|████████▍ | 16/19 [00:12<00:02, 1.26it/s] 89%|████████▉ | 17/19 [00:13<00:01, 1.27it/s] 95%|█████████▍| 18/19 [00:14<00:00, 1.26it/s] 100%|██████████| 19/19 [00:14<00:00, 1.27it/s] 100%|██████████| 19/19 [00:14<00:00, 1.27it/s] Decoding latents in cuda:0... done in 1.46s Move latents to cpu... done in 0.0s Uploading outputs... Finished.