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Cute Tiny Hedgehogs with EpicDream Lullaby
epicdream-lullaby:v1.0
evevalentine2017
evevalentine2017
·
Jan 8
369
Input
prompt
Specify things to see in the output
modelshoot style, (extremely detailed 8k wallpaper), a medium shot photo of a tiny cute hedgehog, beach, mezzotint, Intricate, High Detail, dramatic, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
epiCNegative, (worst quality:1.3), (low quality:1.3), (normal quality:1.3), (jpeg artifacts, signature, watermark, username:1.3), (leaning against wall:1.3), (hat:1.3), (asian, chinese:1.3)
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.5
contrast
Adjust contrast
-0.3
saturation
Adjust saturation
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
136074635
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
6
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>
epiCRealismHelper.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)
epiCNegative.pt
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/52537c2dcc1446e18566f713313813bc/00000-136074635.webp
https://files.tungsten.run/uploads/4385897e5d254633acd531b9cb49bc8c/00001-136074636.webp
https://files.tungsten.run/uploads/1f839d9347a54297b22d942f14ff6c2c/00002-136074637.webp
https://files.tungsten.run/uploads/6407c2300492498ba78e712e7057a24d/00003-136074638.webp
Finished in 91.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: modelshoot style, (extremely detailed 8k wallpaper), a medium shot photo of a tiny cute hedgehog, beach, mezzotint, Intricate, High Detail, dramatic, <lora:epiCRealismHelper:1>, <lora:add_brightness:0.5>, <lora:contrast_slider_v10:-0.3>, <lora:add_saturation:1.0> Full negative prompt: epiCNegative, (worst quality:1.3), (low quality:1.3), (normal quality:1.3), (jpeg artifacts, signature, watermark, username:1.3), (leaning against wall:1.3), (hat:1.3), (asian, chinese:1.3) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:55, 1.91s/it] 7%|▋ | 2/30 [00:03<00:50, 1.82s/it] 10%|█ | 3/30 [00:05<00:48, 1.78s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.80s/it] 17%|█▋ | 5/30 [00:09<00:45, 1.84s/it] 20%|██ | 6/30 [00:10<00:43, 1.83s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.80s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.79s/it] 30%|███ | 9/30 [00:16<00:38, 1.82s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.83s/it] 37%|███▋ | 11/30 [00:19<00:34, 1.82s/it] 40%|████ | 12/30 [00:21<00:32, 1.80s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.81s/it] 47%|████▋ | 14/30 [00:25<00:28, 1.77s/it] 50%|█████ | 15/30 [00:26<00:26, 1.74s/it] 53%|█████▎ | 16/30 [00:28<00:23, 1.69s/it] 57%|█████▋ | 17/30 [00:30<00:21, 1.67s/it] 60%|██████ | 18/30 [00:31<00:20, 1.67s/it] 63%|██████▎ | 19/30 [00:33<00:18, 1.66s/it] 67%|██████▋ | 20/30 [00:35<00:17, 1.72s/it] 70%|███████ | 21/30 [00:36<00:15, 1.69s/it] 73%|███████▎ | 22/30 [00:38<00:13, 1.69s/it] 77%|███████▋ | 23/30 [00:40<00:11, 1.61s/it] 80%|████████ | 24/30 [00:41<00:09, 1.56s/it] 83%|████████▎ | 25/30 [00:43<00:07, 1.56s/it] 87%|████████▋ | 26/30 [00:44<00:06, 1.59s/it] 90%|█████████ | 27/30 [00:46<00:04, 1.60s/it] 93%|█████████▎| 28/30 [00:47<00:03, 1.61s/it] 97%|█████████▋| 29/30 [00:48<00:01, 1.44s/it] 100%|██████████| 30/30 [00:49<00:00, 1.20s/it] 100%|██████████| 30/30 [00:49<00:00, 1.65s/it] Decoding latents in cuda:0... done in 1.67s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 20.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.87it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.18it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.37it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.38it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.49it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.49it/s] 50%|█████ | 7/14 [00:02<00:02, 2.65it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.76it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.76it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.68it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.70it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.71it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.10it/s] 100%|██████████| 14/14 [00:05<00:00, 3.72it/s] 100%|██████████| 14/14 [00:05<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 2 hands, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.53it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.44it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.53it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.48it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.56it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.55it/s] 50%|█████ | 7/14 [00:02<00:02, 2.64it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.64it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.50it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.53it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.60it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.64it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.04it/s] 100%|██████████| 14/14 [00:05<00:00, 3.67it/s] 100%|██████████| 14/14 [00:05<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.54it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.52it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.51it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.51it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.51it/s] 50%|█████ | 7/14 [00:02<00:02, 2.67it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.72it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.68it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.61it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.60it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.64it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.03it/s] 100%|██████████| 14/14 [00:04<00:00, 3.66it/s] 100%|██████████| 14/14 [00:04<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.48it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.51it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.57it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.51it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.56it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.54it/s] 50%|█████ | 7/14 [00:02<00:02, 2.70it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.80it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.77it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.69it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.70it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.71it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.10it/s] 100%|██████████| 14/14 [00:04<00:00, 3.72it/s] 100%|██████████| 14/14 [00:04<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.56it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.56it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.61it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.55it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.59it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.57it/s] 50%|█████ | 7/14 [00:02<00:02, 2.72it/s] 57%|█████▋ | 8/14 [00:02<00:02, 2.81it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.79it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.72it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.73it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.69it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.01it/s] 100%|██████████| 14/14 [00:04<00:00, 3.63it/s] 100%|██████████| 14/14 [00:04<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
modelshoot style, (extremely detailed 8k wallpaper), a medium shot photo of a tiny cute hedgehog, beach, mezzotint, Intricate, High Detail, dramatic, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
epiCNegative, (worst quality:1.3), (low quality:1.3), (normal quality:1.3), (jpeg artifacts, signature, watermark, username:1.3), (leaning against wall:1.3), (hat:1.3), (asian, chinese:1.3)
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.5
contrast
Adjust contrast
-0.3
saturation
Adjust saturation
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
136074635
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
6
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>
epiCRealismHelper.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)
epiCNegative.pt
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/52537c2dcc1446e18566f713313813bc/00000-136074635.webp
https://files.tungsten.run/uploads/4385897e5d254633acd531b9cb49bc8c/00001-136074636.webp
https://files.tungsten.run/uploads/1f839d9347a54297b22d942f14ff6c2c/00002-136074637.webp
https://files.tungsten.run/uploads/6407c2300492498ba78e712e7057a24d/00003-136074638.webp
Finished in 91.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: modelshoot style, (extremely detailed 8k wallpaper), a medium shot photo of a tiny cute hedgehog, beach, mezzotint, Intricate, High Detail, dramatic, <lora:epiCRealismHelper:1>, <lora:add_brightness:0.5>, <lora:contrast_slider_v10:-0.3>, <lora:add_saturation:1.0> Full negative prompt: epiCNegative, (worst quality:1.3), (low quality:1.3), (normal quality:1.3), (jpeg artifacts, signature, watermark, username:1.3), (leaning against wall:1.3), (hat:1.3), (asian, chinese:1.3) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:55, 1.91s/it] 7%|▋ | 2/30 [00:03<00:50, 1.82s/it] 10%|█ | 3/30 [00:05<00:48, 1.78s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.80s/it] 17%|█▋ | 5/30 [00:09<00:45, 1.84s/it] 20%|██ | 6/30 [00:10<00:43, 1.83s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.80s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.79s/it] 30%|███ | 9/30 [00:16<00:38, 1.82s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.83s/it] 37%|███▋ | 11/30 [00:19<00:34, 1.82s/it] 40%|████ | 12/30 [00:21<00:32, 1.80s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.81s/it] 47%|████▋ | 14/30 [00:25<00:28, 1.77s/it] 50%|█████ | 15/30 [00:26<00:26, 1.74s/it] 53%|█████▎ | 16/30 [00:28<00:23, 1.69s/it] 57%|█████▋ | 17/30 [00:30<00:21, 1.67s/it] 60%|██████ | 18/30 [00:31<00:20, 1.67s/it] 63%|██████▎ | 19/30 [00:33<00:18, 1.66s/it] 67%|██████▋ | 20/30 [00:35<00:17, 1.72s/it] 70%|███████ | 21/30 [00:36<00:15, 1.69s/it] 73%|███████▎ | 22/30 [00:38<00:13, 1.69s/it] 77%|███████▋ | 23/30 [00:40<00:11, 1.61s/it] 80%|████████ | 24/30 [00:41<00:09, 1.56s/it] 83%|████████▎ | 25/30 [00:43<00:07, 1.56s/it] 87%|████████▋ | 26/30 [00:44<00:06, 1.59s/it] 90%|█████████ | 27/30 [00:46<00:04, 1.60s/it] 93%|█████████▎| 28/30 [00:47<00:03, 1.61s/it] 97%|█████████▋| 29/30 [00:48<00:01, 1.44s/it] 100%|██████████| 30/30 [00:49<00:00, 1.20s/it] 100%|██████████| 30/30 [00:49<00:00, 1.65s/it] Decoding latents in cuda:0... done in 1.67s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 20.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.87it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.18it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.37it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.38it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.49it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.49it/s] 50%|█████ | 7/14 [00:02<00:02, 2.65it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.76it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.76it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.68it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.70it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.71it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.10it/s] 100%|██████████| 14/14 [00:05<00:00, 3.72it/s] 100%|██████████| 14/14 [00:05<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 2 hands, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.53it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.44it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.53it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.48it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.56it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.55it/s] 50%|█████ | 7/14 [00:02<00:02, 2.64it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.64it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.50it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.53it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.60it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.64it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.04it/s] 100%|██████████| 14/14 [00:05<00:00, 3.67it/s] 100%|██████████| 14/14 [00:05<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.54it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.54it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.52it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.51it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.51it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.51it/s] 50%|█████ | 7/14 [00:02<00:02, 2.67it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.72it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.68it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.61it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.60it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.64it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.03it/s] 100%|██████████| 14/14 [00:04<00:00, 3.66it/s] 100%|██████████| 14/14 [00:04<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.48it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.51it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.57it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.51it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.56it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.54it/s] 50%|█████ | 7/14 [00:02<00:02, 2.70it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.80it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.77it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.69it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.70it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.71it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.10it/s] 100%|██████████| 14/14 [00:04<00:00, 3.72it/s] 100%|██████████| 14/14 [00:04<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.56it/s] 14%|█▍ | 2/14 [00:00<00:04, 2.56it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.61it/s] 29%|██▊ | 4/14 [00:01<00:03, 2.55it/s] 36%|███▌ | 5/14 [00:01<00:03, 2.59it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.57it/s] 50%|█████ | 7/14 [00:02<00:02, 2.72it/s] 57%|█████▋ | 8/14 [00:02<00:02, 2.81it/s] 64%|██████▍ | 9/14 [00:03<00:01, 2.79it/s] 71%|███████▏ | 10/14 [00:03<00:01, 2.72it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.73it/s] 86%|████████▌ | 12/14 [00:04<00:00, 2.69it/s] 93%|█████████▎| 13/14 [00:04<00:00, 3.01it/s] 100%|██████████| 14/14 [00:04<00:00, 3.63it/s] 100%|██████████| 14/14 [00:04<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Uploading outputs... Finished.