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Cinematic Style with Lobelia SDXL
lobelia-sdxl:v2.0
evevalentine2017
evevalentine2017
·
Mar 16
375
Input
prompt
Specify things to see in the output
Cinematic, epic, action packed, 1 woman, standing, background Cinematic Hollywood Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy
negative_prompt
Specify things to not see in the output
desaturated, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, EasyNegativeV2, unaestheticXL2v10
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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.
1814563150
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
Euler
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
1
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>
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
unaestheticXL2v10.safetensors
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/440634f1c5c2485db8fcae75a8533aed/00000-1814563150.webp
https://files.tungsten.run/uploads/b8b4ff54c91449dfb91a956448906586/00001-1814563151.webp
https://files.tungsten.run/uploads/82810b44ef9b458888e1ca4dab35f7ee/00002-1814563152.webp
Finished in 138.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Cinematic, epic, action packed, 1 woman, standing, background Cinematic Hollywood Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy Full negative prompt: desaturated, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, EasyNegativeV2, unaestheticXL2v10 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:35, 1.11it/s] 5%|▌ | 2/40 [00:01<00:33, 1.13it/s] 8%|▊ | 3/40 [00:02<00:32, 1.14it/s] 10%|█ | 4/40 [00:03<00:31, 1.14it/s] 12%|█▎ | 5/40 [00:04<00:30, 1.14it/s] 15%|█▌ | 6/40 [00:05<00:29, 1.14it/s] 18%|█▊ | 7/40 [00:06<00:28, 1.14it/s] 20%|██ | 8/40 [00:07<00:27, 1.14it/s] 22%|██▎ | 9/40 [00:07<00:27, 1.14it/s] 25%|██▌ | 10/40 [00:08<00:26, 1.14it/s] 28%|██▊ | 11/40 [00:09<00:25, 1.14it/s] 30%|███ | 12/40 [00:10<00:24, 1.14it/s] 32%|███▎ | 13/40 [00:11<00:23, 1.14it/s] 35%|███▌ | 14/40 [00:12<00:22, 1.14it/s] 38%|███▊ | 15/40 [00:13<00:21, 1.14it/s] 40%|████ | 16/40 [00:14<00:21, 1.13it/s] 42%|████▎ | 17/40 [00:14<00:20, 1.13it/s] 45%|████▌ | 18/40 [00:15<00:19, 1.13it/s] 48%|████▊ | 19/40 [00:16<00:18, 1.13it/s] 50%|█████ | 20/40 [00:17<00:17, 1.12it/s] 52%|█████▎ | 21/40 [00:18<00:16, 1.12it/s] 55%|█████▌ | 22/40 [00:19<00:16, 1.12it/s] 57%|█████▊ | 23/40 [00:20<00:15, 1.12it/s] 60%|██████ | 24/40 [00:21<00:14, 1.12it/s] 62%|██████▎ | 25/40 [00:22<00:13, 1.12it/s] 65%|██████▌ | 26/40 [00:22<00:12, 1.12it/s] 68%|██████▊ | 27/40 [00:23<00:11, 1.11it/s] 70%|███████ | 28/40 [00:24<00:10, 1.11it/s] 72%|███████▎ | 29/40 [00:25<00:10, 1.09it/s] 75%|███████▌ | 30/40 [00:26<00:09, 1.09it/s] 78%|███████▊ | 31/40 [00:27<00:08, 1.08it/s] 80%|████████ | 32/40 [00:28<00:07, 1.09it/s] 82%|████████▎ | 33/40 [00:29<00:06, 1.09it/s] 85%|████████▌ | 34/40 [00:30<00:05, 1.08it/s] 88%|████████▊ | 35/40 [00:31<00:04, 1.09it/s] 90%|█████████ | 36/40 [00:32<00:03, 1.09it/s] 92%|█████████▎| 37/40 [00:33<00:02, 1.10it/s] 95%|█████████▌| 38/40 [00:34<00:01, 1.09it/s] 98%|█████████▊| 39/40 [00:34<00:00, 1.10it/s] 100%|██████████| 40/40 [00:35<00:00, 1.10it/s] 100%|██████████| 40/40 [00:35<00:00, 1.12it/s] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 158.4ms Speed: 2.7ms preprocess, 158.4ms inference, 28.2ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.32it/s] 11%|█ | 2/19 [00:01<00:11, 1.49it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.57it/s] 21%|██ | 4/19 [00:02<00:09, 1.57it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.58it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.60it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.62it/s] 42%|████▏ | 8/19 [00:05<00:06, 1.63it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.60it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.61it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.61it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.60it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.62it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.62it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.62it/s] 84%|████████▍ | 16/19 [00:10<00:01, 1.62it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.62it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.63it/s] 100%|██████████| 19/19 [00:11<00:00, 1.58it/s] 100%|██████████| 19/19 [00:11<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.6ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.64it/s] 11%|█ | 2/19 [00:01<00:10, 1.60it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.59it/s] 21%|██ | 4/19 [00:02<00:09, 1.53it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.57it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.60it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.62it/s] 42%|████▏ | 8/19 [00:05<00:06, 1.58it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.58it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.58it/s] 58%|█████▊ | 11/19 [00:06<00:05, 1.57it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.58it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.60it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.62it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.63it/s] 84%|████████▍ | 16/19 [00:10<00:01, 1.63it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.65it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.64it/s] 100%|██████████| 19/19 [00:11<00:00, 1.64it/s] 100%|██████████| 19/19 [00:11<00:00, 1.61it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 5 faces, 8.1ms Speed: 2.5ms preprocess, 8.1ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.64it/s] 11%|█ | 2/19 [00:01<00:10, 1.65it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.63it/s] 21%|██ | 4/19 [00:02<00:09, 1.63it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.61it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.62it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.64it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.64it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.64it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.64it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.63it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.59it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.60it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.59it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.59it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.59it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.60it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.59it/s] 100%|██████████| 19/19 [00:11<00:00, 1.60it/s] 100%|██████████| 19/19 [00:11<00:00, 1.61it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.61it/s] 11%|█ | 2/19 [00:01<00:10, 1.63it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.60it/s] 21%|██ | 4/19 [00:02<00:09, 1.61it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.59it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.58it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.57it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.57it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.57it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.55it/s] 58%|█████▊ | 11/19 [00:06<00:05, 1.57it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.59it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.61it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.61it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.61it/s] 84%|████████▍ | 16/19 [00:10<00:01, 1.62it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.62it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.60it/s] 100%|██████████| 19/19 [00:11<00:00, 1.61it/s] 100%|██████████| 19/19 [00:11<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.52it/s] 11%|█ | 2/19 [00:01<00:10, 1.55it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.56it/s] 21%|██ | 4/19 [00:02<00:09, 1.57it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.60it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.61it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.60it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.57it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.55it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.58it/s] 58%|█████▊ | 11/19 [00:06<00:05, 1.59it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.61it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.63it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.62it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.55it/s] 84%|████████▍ | 16/19 [00:10<00:01, 1.57it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.57it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.58it/s] 100%|██████████| 19/19 [00:12<00:00, 1.58it/s] 100%|██████████| 19/19 [00:12<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.56it/s] 11%|█ | 2/19 [00:01<00:10, 1.61it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.60it/s] 21%|██ | 4/19 [00:02<00:09, 1.61it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.63it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.63it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.64it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.56it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.55it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.58it/s] 58%|█████▊ | 11/19 [00:06<00:05, 1.59it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.61it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.60it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.56it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.57it/s] 84%|████████▍ | 16/19 [00:10<00:01, 1.58it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.60it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.54it/s] 100%|██████████| 19/19 [00:12<00:00, 1.53it/s] 100%|██████████| 19/19 [00:12<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.55it/s] 11%|█ | 2/19 [00:01<00:10, 1.55it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.55it/s] 21%|██ | 4/19 [00:02<00:09, 1.55it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.54it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.56it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.55it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.54it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.55it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.53it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.54it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.55it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.56it/s] 74%|███████▎ | 14/19 [00:09<00:03, 1.58it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.58it/s] 84%|████████▍ | 16/19 [00:10<00:01, 1.56it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.58it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.58it/s] 100%|██████████| 19/19 [00:12<00:00, 1.54it/s] 100%|██████████| 19/19 [00:12<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Cinematic, epic, action packed, 1 woman, standing, background Cinematic Hollywood Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy
negative_prompt
Specify things to not see in the output
desaturated, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, EasyNegativeV2, unaestheticXL2v10
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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.
1814563150
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
Euler
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
1
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>
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
unaestheticXL2v10.safetensors
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/440634f1c5c2485db8fcae75a8533aed/00000-1814563150.webp
https://files.tungsten.run/uploads/b8b4ff54c91449dfb91a956448906586/00001-1814563151.webp
https://files.tungsten.run/uploads/82810b44ef9b458888e1ca4dab35f7ee/00002-1814563152.webp
Finished in 138.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Cinematic, epic, action packed, 1 woman, standing, background Cinematic Hollywood Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy Full negative prompt: desaturated, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, EasyNegativeV2, unaestheticXL2v10 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:35, 1.11it/s] 5%|▌ | 2/40 [00:01<00:33, 1.13it/s] 8%|▊ | 3/40 [00:02<00:32, 1.14it/s] 10%|█ | 4/40 [00:03<00:31, 1.14it/s] 12%|█▎ | 5/40 [00:04<00:30, 1.14it/s] 15%|█▌ | 6/40 [00:05<00:29, 1.14it/s] 18%|█▊ | 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Finished.