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Girls by the Bar with Prefix RealCart
prefix-realcart:v1.0
evevalentine2017
evevalentine2017
·
12/17/2023
357
Input
prompt
Specify things to see in the output
(full body view), Ultra-realistic 8k CG, cinematic lighting, cinematic bloom. Two girls: girl, 1 girl, adult woman, hazel eyes, gray sleek hair, portrait, solo, upper body, looking at viewer, detailed background, detailed face, (Imperial Chinese theme:1.1), smirk, barkeep, simple dark purple clothes, rustic tavern interior in background, rust, clutter, shelves, drinks, oil lamps, fantasy atmosphere, shiny skin, wet skin, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
cartoon, anime, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
-0.17
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
4124265288
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
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
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.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)
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/6d0810875cf14b0cbfc7ff4a64893550/00000-4124265288.webp
https://files.tungsten.run/uploads/cbfa705cb3514dcabfda389ab2bf2034/00001-4124265289.webp
https://files.tungsten.run/uploads/980afa1585c34ce1bf707f26227051cb/00002-4124265290.webp
https://files.tungsten.run/uploads/6f987ec5d2a049d7bd55218ff4f552bd/00003-4124265291.webp
Finished in 79.7 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (full body view), Ultra-realistic 8k CG, cinematic lighting, cinematic bloom. Two girls: girl, 1 girl, adult woman, hazel eyes, gray sleek hair, portrait, solo, upper body, looking at viewer, detailed background, detailed face, (Imperial Chinese theme:1.1), smirk, barkeep, simple dark purple clothes, rustic tavern interior in background, rust, clutter, shelves, drinks, oil lamps, fantasy atmosphere, shiny skin, wet skin, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>, <lora:add_brightness:-0.17> Full negative prompt: cartoon, anime, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:18, 1.61it/s] 7%|▋ | 2/30 [00:01<00:17, 1.56it/s] 10%|█ | 3/30 [00:01<00:17, 1.56it/s] 13%|█▎ | 4/30 [00:02<00:16, 1.54it/s] 17%|█▋ | 5/30 [00:03<00:16, 1.54it/s] 20%|██ | 6/30 [00:03<00:15, 1.54it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.52it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.52it/s] 30%|███ | 9/30 [00:05<00:13, 1.53it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.52it/s] 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100%|██████████| 17/17 [00:03<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.89it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.84it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.79it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.83it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.86it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.91it/s] 41%|████ | 7/17 [00:01<00:02, 4.88it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.77it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.83it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.84it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.88it/s] 71%|███████ | 12/17 [00:02<00:01, 4.88it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.84it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.86it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.88it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.92it/s] 100%|██████████| 17/17 [00:03<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.95it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.94it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.72it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.80it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.87it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.93it/s] 41%|████ | 7/17 [00:01<00:02, 4.95it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.81it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.86it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.88it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.92it/s] 71%|███████ | 12/17 [00:02<00:01, 4.93it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.83it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.87it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.91it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.94it/s] 100%|██████████| 17/17 [00:03<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.74it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.83it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.91it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.96it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.91it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.84it/s] 41%|████ | 7/17 [00:01<00:02, 4.88it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.90it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.92it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.94it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.88it/s] 71%|███████ | 12/17 [00:02<00:01, 4.87it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.93it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.96it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.97it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.98it/s] 100%|██████████| 17/17 [00:03<00:00, 5.00it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.87it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.87it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.89it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.91it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.83it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.87it/s] 41%|████ | 7/17 [00:01<00:02, 4.79it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.79it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.81it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.81it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.83it/s] 71%|███████ | 12/17 [00:02<00:01, 4.81it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.84it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.87it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.88it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.93it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.96it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.92it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.93it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.93it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.80it/s] 41%|████ | 7/17 [00:01<00:02, 4.82it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.80it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.81it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.66it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.69it/s] 71%|███████ | 12/17 [00:02<00:01, 4.69it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.68it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.69it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.58it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.69it/s] 100%|██████████| 17/17 [00:03<00:00, 4.74it/s] 100%|██████████| 17/17 [00:03<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.39it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.69it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.70it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.78it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.65it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.74it/s] 41%|████ | 7/17 [00:01<00:02, 4.73it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.77it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.81it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.77it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.83it/s] 71%|███████ | 12/17 [00:02<00:01, 4.83it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.86it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.90it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.74it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.80it/s] 100%|██████████| 17/17 [00:03<00:00, 4.85it/s] 100%|██████████| 17/17 [00:03<00:00, 4.79it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(full body view), Ultra-realistic 8k CG, cinematic lighting, cinematic bloom. Two girls: girl, 1 girl, adult woman, hazel eyes, gray sleek hair, portrait, solo, upper body, looking at viewer, detailed background, detailed face, (Imperial Chinese theme:1.1), smirk, barkeep, simple dark purple clothes, rustic tavern interior in background, rust, clutter, shelves, drinks, oil lamps, fantasy atmosphere, shiny skin, wet skin, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
cartoon, anime, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
-0.17
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
4124265288
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
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
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.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)
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/6d0810875cf14b0cbfc7ff4a64893550/00000-4124265288.webp
https://files.tungsten.run/uploads/cbfa705cb3514dcabfda389ab2bf2034/00001-4124265289.webp
https://files.tungsten.run/uploads/980afa1585c34ce1bf707f26227051cb/00002-4124265290.webp
https://files.tungsten.run/uploads/6f987ec5d2a049d7bd55218ff4f552bd/00003-4124265291.webp
Finished in 79.7 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (full body view), Ultra-realistic 8k CG, cinematic lighting, cinematic bloom. Two girls: girl, 1 girl, adult woman, hazel eyes, gray sleek hair, portrait, solo, upper body, looking at viewer, detailed background, detailed face, (Imperial Chinese theme:1.1), smirk, barkeep, simple dark purple clothes, rustic tavern interior in background, rust, clutter, shelves, drinks, oil lamps, fantasy atmosphere, shiny skin, wet skin, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>, <lora:add_brightness:-0.17> Full negative prompt: cartoon, anime, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:18, 1.61it/s] 7%|▋ | 2/30 [00:01<00:17, 1.56it/s] 10%|█ | 3/30 [00:01<00:17, 1.56it/s] 13%|█▎ | 4/30 [00:02<00:16, 1.54it/s] 17%|█▋ | 5/30 [00:03<00:16, 1.54it/s] 20%|██ | 6/30 [00:03<00:15, 1.54it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.52it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.52it/s] 30%|███ | 9/30 [00:05<00:13, 1.53it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.52it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:07<00:11, 1.52it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.52it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:09<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.51it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:11<00:07, 1.51it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:13<00:05, 1.50it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.50it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.50it/s] 80%|████████ | 24/30 [00:15<00:04, 1.50it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.49it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.49it/s] 90%|█████████ | 27/30 [00:17<00:02, 1.50it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.49it/s] 100%|██████████| 30/30 [00:19<00:00, 1.48it/s] 100%|██████████| 30/30 [00:19<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.01s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.79it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.85it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.88it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.92it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.90it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.86it/s] 41%|████ | 7/17 [00:01<00:02, 4.88it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.87it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.89it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.88it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.89it/s] 71%|███████ | 12/17 [00:02<00:01, 4.92it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.92it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.82it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.83it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.74it/s] 100%|██████████| 17/17 [00:03<00:00, 4.76it/s] 100%|██████████| 17/17 [00:03<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.96it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.93it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.94it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.74it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.81it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.88it/s] 41%|████ | 7/17 [00:01<00:02, 4.90it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.93it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.78it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.83it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.87it/s] 71%|███████ | 12/17 [00:02<00:01, 4.89it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.90it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.76it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.82it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.85it/s] 100%|██████████| 17/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.90it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.95it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.93it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.79it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.85it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.88it/s] 41%|████ | 7/17 [00:01<00:02, 4.83it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.86it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.82it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.84it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.88it/s] 71%|███████ | 12/17 [00:02<00:01, 4.91it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.91it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.86it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.80it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.83it/s] 100%|██████████| 17/17 [00:03<00:00, 4.86it/s] 100%|██████████| 17/17 [00:03<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.85it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.64it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.77it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.81it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.83it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.81it/s] 41%|████ | 7/17 [00:01<00:02, 4.80it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.84it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.88it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.90it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.87it/s] 71%|███████ | 12/17 [00:02<00:01, 4.77it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.84it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.88it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.88it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.85it/s] 100%|██████████| 17/17 [00:03<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.64it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.81it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.88it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.90it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.93it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.87it/s] 41%|████ | 7/17 [00:01<00:02, 4.91it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.92it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.94it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.93it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.94it/s] 71%|███████ | 12/17 [00:02<00:01, 4.93it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.93it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.92it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.91it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.92it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.79it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.88it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.91it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.91it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.92it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.91it/s] 41%|████ | 7/17 [00:01<00:02, 4.89it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.85it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.89it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.91it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.93it/s] 71%|███████ | 12/17 [00:02<00:01, 4.95it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.93it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.87it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.88it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.87it/s] 100%|██████████| 17/17 [00:03<00:00, 4.87it/s] 100%|██████████| 17/17 [00:03<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.93it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.96it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.99it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.00it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.83it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.90it/s] 41%|████ | 7/17 [00:01<00:02, 4.93it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.95it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.96it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.82it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.87it/s] 71%|███████ | 12/17 [00:02<00:01, 4.91it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.93it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.94it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.83it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.87it/s] 100%|██████████| 17/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.89it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.84it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.79it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.83it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.86it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.91it/s] 41%|████ | 7/17 [00:01<00:02, 4.88it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.77it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.83it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.84it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.88it/s] 71%|███████ | 12/17 [00:02<00:01, 4.88it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.84it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.86it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.88it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.92it/s] 100%|██████████| 17/17 [00:03<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.95it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.94it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.72it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.80it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.87it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.93it/s] 41%|████ | 7/17 [00:01<00:02, 4.95it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.81it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.86it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.88it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.92it/s] 71%|███████ | 12/17 [00:02<00:01, 4.93it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.83it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.87it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.91it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.94it/s] 100%|██████████| 17/17 [00:03<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.74it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.83it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.91it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.96it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.91it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.84it/s] 41%|████ | 7/17 [00:01<00:02, 4.88it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.90it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.92it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.94it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.88it/s] 71%|███████ | 12/17 [00:02<00:01, 4.87it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.93it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.96it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.97it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.98it/s] 100%|██████████| 17/17 [00:03<00:00, 5.00it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.87it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.87it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.89it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.91it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.83it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.87it/s] 41%|████ | 7/17 [00:01<00:02, 4.79it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.79it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.81it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.81it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.83it/s] 71%|███████ | 12/17 [00:02<00:01, 4.81it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.84it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.87it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.88it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.91it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.93it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.96it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.92it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.93it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.93it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.80it/s] 41%|████ | 7/17 [00:01<00:02, 4.82it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.80it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.81it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.66it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.69it/s] 71%|███████ | 12/17 [00:02<00:01, 4.69it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.68it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.69it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.58it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.69it/s] 100%|██████████| 17/17 [00:03<00:00, 4.74it/s] 100%|██████████| 17/17 [00:03<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.39it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.69it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.70it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.78it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.65it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.74it/s] 41%|████ | 7/17 [00:01<00:02, 4.73it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.77it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.81it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.77it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.83it/s] 71%|███████ | 12/17 [00:02<00:01, 4.83it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.86it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.90it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.74it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.80it/s] 100%|██████████| 17/17 [00:03<00:00, 4.85it/s] 100%|██████████| 17/17 [00:03<00:00, 4.79it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.