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albedo-base-xl
albedo-base-xl

albedo-base-xl

8 stars
Version: v2.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/450c67cf2b3b49339fb9547fa3ffd299/00000-248039067.webp
https://files.tungsten.run/uploads/a9a27c5c251c4584aff745ab6ac0566d/00001-248039068.webp
https://files.tungsten.run/uploads/63d8bae52f0940a3b888a2af6fc2207e/00002-248039069.webp
This example was created by evevalentine2017
Finished in 170.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: best quality, hyperrealism, intricate emotional details, ultra detailed, sharp focus, sharp details, detailed digital illustration of a Stellar cartographer mapping uncharted territories in a Astral realm where dreams come alive, Raypunk, <lora:EnvyEndOfTimeXL01:0.7>, <lora:SDXL Detail:1> Full negative prompt: amateur quality, vague shapes, vague texture, wrong perspective, ugly, dowdy style, ((badhandv4)), ((negative_hand-neg)), FastNegativeV2, nude, nudity, anime, facial markings 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:03<02:01, 3.58s/it] 6%|▌ | 2/35 [00:06<01:35, 2.90s/it] 9%|▊ | 3/35 [00:08<01:25, 2.68s/it] 11%|█▏ | 4/35 [00:10<01:20, 2.59s/it] 14%|█▍ | 5/35 [00:13<01:16, 2.53s/it] 17%|█▋ | 6/35 [00:15<01:12, 2.51s/it] 20%|██ | 7/35 [00:18<01:09, 2.49s/it] 23%|██▎ | 8/35 [00:20<01:07, 2.48s/it] 26%|██▌ | 9/35 [00:23<01:04, 2.48s/it] 29%|██▊ | 10/35 [00:25<01:02, 2.49s/it] 31%|███▏ | 11/35 [00:28<00:59, 2.49s/it] 34%|███▍ | 12/35 [00:30<00:57, 2.49s/it] 37%|███▋ | 13/35 [00:33<00:54, 2.49s/it] 40%|████ | 14/35 [00:35<00:52, 2.50s/it] 43%|████▎ | 15/35 [00:38<00:50, 2.50s/it] 46%|████▌ | 16/35 [00:40<00:47, 2.52s/it] 49%|████▊ | 17/35 [00:43<00:45, 2.53s/it] 51%|█████▏ | 18/35 [00:45<00:43, 2.54s/it] 54%|█████▍ | 19/35 [00:48<00:40, 2.54s/it] 57%|█████▋ | 20/35 [00:50<00:38, 2.54s/it] 60%|██████ | 21/35 [00:53<00:35, 2.54s/it] 63%|██████▎ | 22/35 [00:56<00:33, 2.54s/it] 66%|██████▌ | 23/35 [00:58<00:30, 2.54s/it] 69%|██████▊ | 24/35 [01:01<00:27, 2.53s/it] 71%|███████▏ | 25/35 [01:03<00:25, 2.53s/it] 74%|███████▍ | 26/35 [01:06<00:22, 2.53s/it] 77%|███████▋ | 27/35 [01:08<00:20, 2.53s/it] 80%|████████ | 28/35 [01:11<00:17, 2.53s/it] 83%|████████▎ | 29/35 [01:13<00:15, 2.53s/it] 86%|████████▌ | 30/35 [01:16<00:12, 2.53s/it] 89%|████████▊ | 31/35 [01:18<00:10, 2.53s/it] 91%|█████████▏| 32/35 [01:21<00:07, 2.53s/it] 94%|█████████▍| 33/35 [01:23<00:05, 2.54s/it] 97%|█████████▋| 34/35 [01:26<00:02, 2.54s/it] 100%|██████████| 35/35 [01:28<00:00, 2.55s/it] 100%|██████████| 35/35 [01:28<00:00, 2.54s/it] Decoding latents in cuda:0... done in 4.4s Move latents to cpu... done in 0.05s 0: 640x640 (no detections), 7.8ms Speed: 3.4ms preprocess, 7.8ms inference, 4.9ms 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: 3.3ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 2 faces, 7.5ms Speed: 3.2ms preprocess, 7.5ms inference, 30.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:11, 1.28it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.26it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.26it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.26it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.27it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.27it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.26it/s] 50%|█████ | 8/16 [00:06<00:06, 1.26it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.26it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.26it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.26it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.26it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.26it/s] 88%|████████▊ | 14/16 [00:11<00:01, 1.26it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.26it/s] 100%|██████████| 16/16 [00:12<00:00, 1.26it/s] 100%|██████████| 16/16 [00:12<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.02s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.25it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.25it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.25it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.25it/s] 31%|███▏ | 5/16 [00:04<00:08, 1.25it/s] 38%|███▊ | 6/16 [00:04<00:08, 1.25it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.25it/s] 50%|█████ | 8/16 [00:06<00:06, 1.25it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.25it/s] 62%|██████▎ | 10/16 [00:08<00:04, 1.24it/s] 69%|██████▉ | 11/16 [00:08<00:04, 1.24it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.24it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.25it/s] 88%|████████▊ | 14/16 [00:11<00:01, 1.25it/s] 94%|█████████▍| 15/16 [00:12<00:00, 1.24it/s] 100%|██████████| 16/16 [00:12<00:00, 1.24it/s] 100%|██████████| 16/16 [00:12<00:00, 1.25it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 9.5ms Speed: 3.6ms preprocess, 9.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:11, 1.31it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.26it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.25it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.25it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.25it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.25it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.25it/s] 50%|█████ | 8/16 [00:06<00:06, 1.25it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.25it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.25it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.25it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.25it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.25it/s] 88%|████████▊ | 14/16 [00:11<00:01, 1.25it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.25it/s] 100%|██████████| 16/16 [00:12<00:00, 1.26it/s] 100%|██████████| 16/16 [00:12<00:00, 1.25it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.0ms Speed: 3.5ms preprocess, 8.0ms 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, 7.3ms Speed: 4.2ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:11, 1.34it/s] 12%|█▎ | 2/16 [00:01<00:10, 1.31it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.29it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.30it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.29it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.29it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.28it/s] 50%|█████ | 8/16 [00:06<00:06, 1.27it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.27it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.28it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.27it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.27it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.27it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.27it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.27it/s] 100%|██████████| 16/16 [00:12<00:00, 1.27it/s] 100%|██████████| 16/16 [00:12<00:00, 1.28it/s] Decoding latents in cuda:0... done in 1.45s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/450c67cf2b3b49339fb9547fa3ffd299/00000-248039067.webp
https://files.tungsten.run/uploads/a9a27c5c251c4584aff745ab6ac0566d/00001-248039068.webp
https://files.tungsten.run/uploads/63d8bae52f0940a3b888a2af6fc2207e/00002-248039069.webp
This example was created by evevalentine2017
Finished in 170.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: best quality, hyperrealism, intricate emotional details, ultra detailed, sharp focus, sharp details, detailed digital illustration of a Stellar cartographer mapping uncharted territories in a Astral realm where dreams come alive, Raypunk, <lora:EnvyEndOfTimeXL01:0.7>, <lora:SDXL Detail:1> Full negative prompt: amateur quality, vague shapes, vague texture, wrong perspective, ugly, dowdy style, ((badhandv4)), ((negative_hand-neg)), FastNegativeV2, nude, nudity, anime, facial markings 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:03<02:01, 3.58s/it] 6%|▌ | 2/35 [00:06<01:35, 2.90s/it] 9%|▊ | 3/35 [00:08<01:25, 2.68s/it] 11%|█▏ | 4/35 [00:10<01:20, 2.59s/it] 14%|█▍ | 5/35 [00:13<01:16, 2.53s/it] 17%|█▋ | 6/35 [00:15<01:12, 2.51s/it] 20%|██ | 7/35 [00:18<01:09, 2.49s/it] 23%|██▎ | 8/35 [00:20<01:07, 2.48s/it] 26%|██▌ | 9/35 [00:23<01:04, 2.48s/it] 29%|██▊ | 10/35 [00:25<01:02, 2.49s/it] 31%|███▏ | 11/35 [00:28<00:59, 2.49s/it] 34%|███▍ | 12/35 [00:30<00:57, 2.49s/it] 37%|███▋ | 13/35 [00:33<00:54, 2.49s/it] 40%|████ | 14/35 [00:35<00:52, 2.50s/it] 43%|████▎ | 15/35 [00:38<00:50, 2.50s/it] 46%|████▌ | 16/35 [00:40<00:47, 2.52s/it] 49%|████▊ | 17/35 [00:43<00:45, 2.53s/it] 51%|█████▏ | 18/35 [00:45<00:43, 2.54s/it] 54%|█████▍ | 19/35 [00:48<00:40, 2.54s/it] 57%|█████▋ | 20/35 [00:50<00:38, 2.54s/it] 60%|██████ | 21/35 [00:53<00:35, 2.54s/it] 63%|██████▎ | 22/35 [00:56<00:33, 2.54s/it] 66%|██████▌ | 23/35 [00:58<00:30, 2.54s/it] 69%|██████▊ | 24/35 [01:01<00:27, 2.53s/it] 71%|███████▏ | 25/35 [01:03<00:25, 2.53s/it] 74%|███████▍ | 26/35 [01:06<00:22, 2.53s/it] 77%|███████▋ | 27/35 [01:08<00:20, 2.53s/it] 80%|████████ | 28/35 [01:11<00:17, 2.53s/it] 83%|████████▎ | 29/35 [01:13<00:15, 2.53s/it] 86%|████████▌ | 30/35 [01:16<00:12, 2.53s/it] 89%|████████▊ | 31/35 [01:18<00:10, 2.53s/it] 91%|█████████▏| 32/35 [01:21<00:07, 2.53s/it] 94%|█████████▍| 33/35 [01:23<00:05, 2.54s/it] 97%|█████████▋| 34/35 [01:26<00:02, 2.54s/it] 100%|██████████| 35/35 [01:28<00:00, 2.55s/it] 100%|██████████| 35/35 [01:28<00:00, 2.54s/it] Decoding latents in cuda:0... done in 4.4s Move latents to cpu... done in 0.05s 0: 640x640 (no detections), 7.8ms Speed: 3.4ms preprocess, 7.8ms inference, 4.9ms 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: 3.3ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 2 faces, 7.5ms Speed: 3.2ms preprocess, 7.5ms inference, 30.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:11, 1.28it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.26it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.26it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.26it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.27it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.27it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.26it/s] 50%|█████ | 8/16 [00:06<00:06, 1.26it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.26it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.26it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.26it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.26it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.26it/s] 88%|████████▊ | 14/16 [00:11<00:01, 1.26it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.26it/s] 100%|██████████| 16/16 [00:12<00:00, 1.26it/s] 100%|██████████| 16/16 [00:12<00:00, 1.26it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.02s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:12, 1.25it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.25it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.25it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.25it/s] 31%|███▏ | 5/16 [00:04<00:08, 1.25it/s] 38%|███▊ | 6/16 [00:04<00:08, 1.25it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.25it/s] 50%|█████ | 8/16 [00:06<00:06, 1.25it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.25it/s] 62%|██████▎ | 10/16 [00:08<00:04, 1.24it/s] 69%|██████▉ | 11/16 [00:08<00:04, 1.24it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.24it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.25it/s] 88%|████████▊ | 14/16 [00:11<00:01, 1.25it/s] 94%|█████████▍| 15/16 [00:12<00:00, 1.24it/s] 100%|██████████| 16/16 [00:12<00:00, 1.24it/s] 100%|██████████| 16/16 [00:12<00:00, 1.25it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 9.5ms Speed: 3.6ms preprocess, 9.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:11, 1.31it/s] 12%|█▎ | 2/16 [00:01<00:11, 1.26it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.25it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.25it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.25it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.25it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.25it/s] 50%|█████ | 8/16 [00:06<00:06, 1.25it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.25it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.25it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.25it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.25it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.25it/s] 88%|████████▊ | 14/16 [00:11<00:01, 1.25it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.25it/s] 100%|██████████| 16/16 [00:12<00:00, 1.26it/s] 100%|██████████| 16/16 [00:12<00:00, 1.25it/s] Decoding latents in cuda:0... done in 1.47s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.0ms Speed: 3.5ms preprocess, 8.0ms 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, 7.3ms Speed: 4.2ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:11, 1.34it/s] 12%|█▎ | 2/16 [00:01<00:10, 1.31it/s] 19%|█▉ | 3/16 [00:02<00:10, 1.29it/s] 25%|██▌ | 4/16 [00:03<00:09, 1.30it/s] 31%|███▏ | 5/16 [00:03<00:08, 1.29it/s] 38%|███▊ | 6/16 [00:04<00:07, 1.29it/s] 44%|████▍ | 7/16 [00:05<00:07, 1.28it/s] 50%|█████ | 8/16 [00:06<00:06, 1.27it/s] 56%|█████▋ | 9/16 [00:07<00:05, 1.27it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.28it/s] 69%|██████▉ | 11/16 [00:08<00:03, 1.27it/s] 75%|███████▌ | 12/16 [00:09<00:03, 1.27it/s] 81%|████████▏ | 13/16 [00:10<00:02, 1.27it/s] 88%|████████▊ | 14/16 [00:10<00:01, 1.27it/s] 94%|█████████▍| 15/16 [00:11<00:00, 1.27it/s] 100%|██████████| 16/16 [00:12<00:00, 1.27it/s] 100%|██████████| 16/16 [00:12<00:00, 1.28it/s] Decoding latents in cuda:0... done in 1.45s Move latents to cpu... done in 0.0s Uploading outputs... Finished.