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Long Pink Hair with Mix Tape Blues
mix-tape-blues:b2d0816
evevalentine2017
evevalentine2017
·
12/16/2023
352
Input
prompt
Specify things to see in the output
(ultra realistic,32k, masterpiece:1.2),(high detailed skin:1.1), 8k uhd, dslr, high quality,(makeup, mascara:1.1), (thick\lips\), 1girl, pink hair, long hair, (aqua eyes:0.9), jewelry, bracelet, skirt, navel, armlet, earrings, midriff, dancer, gem, lantern, blurry, necklace, Bright lilac skirt, long skirt, head chain, dancing, bare shoulders, lamp, light particles, huge breast, (looking at viewer, sitting:1.1), (golden hour:1.1), blank background, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
negative_prompt
Specify things to not see in the output
nipples, EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned),
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
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.
3728185043
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
40
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
baby_face_v1.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
edgEasternFantasy.safetensors
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)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.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/ad7f0ef12bcf42faa95cf0272bc47ee1/00000-3728185043.webp
https://files.tungsten.run/uploads/5c3f869843f645e38ed1dbc1458d551e/00001-3728185044.webp
https://files.tungsten.run/uploads/1baf1da07f7e4b44817547fed04072a6/00002-3728185045.webp
https://files.tungsten.run/uploads/22c7640039694830aab89503fcbc4b75/00003-3728185046.webp
Finished in 168.3 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (ultra realistic,32k, masterpiece:1.2),(high detailed skin:1.1), 8k uhd, dslr, high quality,(makeup, mascara:1.1), (thick\lips\), 1girl, pink hair, long hair, (aqua eyes:0.9), jewelry, bracelet, skirt, navel, armlet, earrings, midriff, dancer, gem, lantern, blurry, necklace, Bright lilac skirt, long skirt, head chain, dancing, bare shoulders, lamp, light particles, huge breast, (looking at viewer, sitting:1.1), (golden hour:1.1), blank background, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin Full negative prompt: nipples, EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned), 0%| | 0/40 [00:00<?, ?it/s] 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latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.35it/s] 9%|▊ | 2/23 [00:00<00:08, 2.34it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.31it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.43it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.41it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.38it/s] 30%|███ | 7/23 [00:02<00:06, 2.42it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.44it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.37it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.40it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.38it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.50it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.50it/s] 61%|██████ | 14/23 [00:05<00:03, 2.49it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.60it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.57it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.69it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.61it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.69it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.72it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.82it/s] 96%|█████████▌| 22/23 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| 14/23 [00:05<00:03, 2.50it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.58it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.57it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.69it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.60it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.69it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.72it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.80it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.25it/s] 100%|██████████| 23/23 [00:08<00:00, 3.84it/s] 100%|██████████| 23/23 [00:08<00:00, 2.67it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.20it/s] 9%|▊ | 2/23 [00:00<00:09, 2.30it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.36it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.42it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.42it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.38it/s] 30%|███ | 7/23 [00:02<00:06, 2.43it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.48it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.37it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.39it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.37it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.50it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.50it/s] 61%|██████ | 14/23 [00:05<00:03, 2.44it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.55it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.52it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.64it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.58it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.64it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.68it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.79it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.24it/s] 100%|██████████| 23/23 [00:08<00:00, 3.84it/s] 100%|██████████| 23/23 [00:08<00:00, 2.65it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.33it/s] 9%|▊ | 2/23 [00:00<00:09, 2.32it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.35it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.46it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.41it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.39it/s] 30%|███ | 7/23 [00:02<00:06, 2.41it/s] 35%|███▍ | 8/23 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cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(ultra realistic,32k, masterpiece:1.2),(high detailed skin:1.1), 8k uhd, dslr, high quality,(makeup, mascara:1.1), (thick\lips\), 1girl, pink hair, long hair, (aqua eyes:0.9), jewelry, bracelet, skirt, navel, armlet, earrings, midriff, dancer, gem, lantern, blurry, necklace, Bright lilac skirt, long skirt, head chain, dancing, bare shoulders, lamp, light particles, huge breast, (looking at viewer, sitting:1.1), (golden hour:1.1), blank background, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
negative_prompt
Specify things to not see in the output
nipples, EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned),
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
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.
3728185043
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
40
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
baby_face_v1.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
edgEasternFantasy.safetensors
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)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/ad7f0ef12bcf42faa95cf0272bc47ee1/00000-3728185043.webp
https://files.tungsten.run/uploads/5c3f869843f645e38ed1dbc1458d551e/00001-3728185044.webp
https://files.tungsten.run/uploads/1baf1da07f7e4b44817547fed04072a6/00002-3728185045.webp
https://files.tungsten.run/uploads/22c7640039694830aab89503fcbc4b75/00003-3728185046.webp
Finished in 168.3 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (ultra realistic,32k, masterpiece:1.2),(high detailed skin:1.1), 8k uhd, dslr, high quality,(makeup, mascara:1.1), (thick\lips\), 1girl, pink hair, long hair, (aqua eyes:0.9), jewelry, bracelet, skirt, navel, armlet, earrings, midriff, dancer, gem, lantern, blurry, necklace, Bright lilac skirt, long skirt, head chain, dancing, bare shoulders, lamp, light particles, huge breast, (looking at viewer, sitting:1.1), (golden hour:1.1), blank background, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin Full negative prompt: nipples, EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned), 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:51, 1.31s/it] 5%|▌ | 2/40 [00:02<00:57, 1.51s/it] 8%|▊ | 3/40 [00:04<01:02, 1.69s/it] 10%|█ | 4/40 [00:06<01:04, 1.78s/it] 12%|█▎ | 5/40 [00:08<01:03, 1.81s/it] 15%|█▌ | 6/40 [00:10<01:02, 1.83s/it] 18%|█▊ | 7/40 [00:12<00:58, 1.78s/it] 20%|██ | 8/40 [00:13<00:56, 1.75s/it] 22%|██▎ | 9/40 [00:15<00:56, 1.81s/it] 25%|██▌ | 10/40 [00:17<00:54, 1.80s/it] 28%|██▊ | 11/40 [00:19<00:52, 1.81s/it] 30%|███ | 12/40 [00:21<00:50, 1.79s/it] 32%|███▎ | 13/40 [00:22<00:48, 1.80s/it] 35%|███▌ | 14/40 [00:24<00:46, 1.80s/it] 38%|███▊ | 15/40 [00:26<00:45, 1.80s/it] 40%|████ | 16/40 [00:28<00:42, 1.78s/it] 42%|████▎ | 17/40 [00:30<00:41, 1.79s/it] 45%|████▌ | 18/40 [00:31<00:39, 1.78s/it] 48%|████▊ | 19/40 [00:33<00:37, 1.77s/it] 50%|█████ | 20/40 [00:35<00:34, 1.75s/it] 52%|█████▎ | 21/40 [00:36<00:32, 1.70s/it] 55%|█████▌ | 22/40 [00:38<00:30, 1.71s/it] 57%|█████▊ | 23/40 [00:40<00:29, 1.72s/it] 60%|██████ | 24/40 [00:42<00:27, 1.70s/it] 62%|██████▎ | 25/40 [00:43<00:24, 1.66s/it] 65%|██████▌ | 26/40 [00:45<00:23, 1.71s/it] 68%|██████▊ | 27/40 [00:47<00:22, 1.70s/it] 70%|███████ | 28/40 [00:48<00:20, 1.71s/it] 72%|███████▎ | 29/40 [00:50<00:17, 1.63s/it] 75%|███████▌ | 30/40 [00:51<00:16, 1.64s/it] 78%|███████▊ | 31/40 [00:53<00:14, 1.65s/it] 80%|████████ | 32/40 [00:55<00:12, 1.59s/it] 82%|████████▎ | 33/40 [00:56<00:11, 1.60s/it] 85%|████████▌ | 34/40 [00:58<00:09, 1.54s/it] 88%|████████▊ | 35/40 [00:59<00:07, 1.58s/it] 90%|█████████ | 36/40 [01:01<00:06, 1.54s/it] 92%|█████████▎| 37/40 [01:02<00:04, 1.52s/it] 95%|█████████▌| 38/40 [01:04<00:02, 1.47s/it] 98%|█████████▊| 39/40 [01:04<00:01, 1.27s/it] 100%|██████████| 40/40 [01:05<00:00, 1.08s/it] 100%|██████████| 40/40 [01:05<00:00, 1.64s/it] Decoding latents in cuda:0... done in 1.65s Move latents to cpu... done in 0.02s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:13, 1.67it/s] 9%|▊ | 2/23 [00:01<00:10, 2.00it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.18it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.32it/s] 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2.20it/s] 9%|▊ | 2/23 [00:00<00:09, 2.28it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.33it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.43it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.43it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.41it/s] 30%|███ | 7/23 [00:02<00:06, 2.45it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.47it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.40it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.42it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.38it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.49it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.46it/s] 61%|██████ | 14/23 [00:05<00:03, 2.46it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.57it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.55it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.67it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.61it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.69it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.74it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.83it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.27it/s] 100%|██████████| 23/23 [00:08<00:00, 3.87it/s] 100%|██████████| 23/23 [00:08<00:00, 2.67it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.35it/s] 9%|▊ | 2/23 [00:00<00:08, 2.34it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.31it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.43it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.41it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.38it/s] 30%|███ | 7/23 [00:02<00:06, 2.42it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.44it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.37it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.40it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.38it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.50it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.50it/s] 61%|██████ | 14/23 [00:05<00:03, 2.49it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.60it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.57it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.69it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.61it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.69it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.72it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.82it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.28it/s] 100%|██████████| 23/23 [00:08<00:00, 3.89it/s] 100%|██████████| 23/23 [00:08<00:00, 2.67it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.35it/s] 9%|▊ | 2/23 [00:00<00:08, 2.34it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.39it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.43it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.42it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.42it/s] 30%|███ | 7/23 [00:02<00:06, 2.41it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.48it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.40it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.43it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.40it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.53it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.54it/s] 61%|██████ | 14/23 [00:05<00:03, 2.48it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.60it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.59it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.72it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.65it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.74it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.78it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.88it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.34it/s] 100%|██████████| 23/23 [00:08<00:00, 3.95it/s] 100%|██████████| 23/23 [00:08<00:00, 2.70it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.36it/s] 9%|▊ | 2/23 [00:00<00:08, 2.35it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.33it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.41it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.39it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.39it/s] 30%|███ | 7/23 [00:02<00:06, 2.43it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.49it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.39it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.38it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.38it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.51it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.52it/s] 61%|██████ | 14/23 [00:05<00:03, 2.52it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.62it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.59it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.71it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.63it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.72it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.76it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.84it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.31it/s] 100%|██████████| 23/23 [00:08<00:00, 3.91it/s] 100%|██████████| 23/23 [00:08<00:00, 2.68it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.34it/s] 9%|▊ | 2/23 [00:00<00:08, 2.35it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.37it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.46it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.42it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.39it/s] 30%|███ | 7/23 [00:02<00:06, 2.44it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.47it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.40it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.39it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.38it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.51it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.51it/s] 61%|██████ | 14/23 [00:05<00:03, 2.50it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.58it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.57it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.69it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.60it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.69it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.72it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.80it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.25it/s] 100%|██████████| 23/23 [00:08<00:00, 3.84it/s] 100%|██████████| 23/23 [00:08<00:00, 2.67it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.20it/s] 9%|▊ | 2/23 [00:00<00:09, 2.30it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.36it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.42it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.42it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.38it/s] 30%|███ | 7/23 [00:02<00:06, 2.43it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.48it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.37it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.39it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.37it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.50it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.50it/s] 61%|██████ | 14/23 [00:05<00:03, 2.44it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.55it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.52it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.64it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.58it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.64it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.68it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.79it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.24it/s] 100%|██████████| 23/23 [00:08<00:00, 3.84it/s] 100%|██████████| 23/23 [00:08<00:00, 2.65it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.33it/s] 9%|▊ | 2/23 [00:00<00:09, 2.32it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.35it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.46it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.41it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.39it/s] 30%|███ | 7/23 [00:02<00:06, 2.41it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.48it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.40it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.38it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.38it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.46it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.47it/s] 61%|██████ | 14/23 [00:05<00:03, 2.47it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.53it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.53it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.60it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.52it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.61it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.65it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.76it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.23it/s] 100%|██████████| 23/23 [00:08<00:00, 3.84it/s] 100%|██████████| 23/23 [00:08<00:00, 2.64it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.32it/s] 9%|▊ | 2/23 [00:00<00:09, 2.32it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.35it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.45it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.40it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.39it/s] 30%|███ | 7/23 [00:02<00:06, 2.43it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.48it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.40it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.40it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.41it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.53it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.52it/s] 61%|██████ | 14/23 [00:05<00:03, 2.50it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.57it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.58it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.71it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.62it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.70it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.75it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.79it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.25it/s] 100%|██████████| 23/23 [00:08<00:00, 3.87it/s] 100%|██████████| 23/23 [00:08<00:00, 2.68it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.23it/s] 9%|▊ | 2/23 [00:00<00:09, 2.27it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.32it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.38it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.39it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.38it/s] 30%|███ | 7/23 [00:02<00:06, 2.42it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.48it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.37it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.39it/s] 48%|████▊ | 11/23 [00:04<00:05, 2.38it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.51it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.51it/s] 61%|██████ | 14/23 [00:05<00:03, 2.47it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.58it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.57it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.67it/s] 78%|███████▊ | 18/23 [00:07<00:01, 2.61it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.70it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.75it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.85it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.32it/s] 100%|██████████| 23/23 [00:08<00:00, 3.91it/s] 100%|██████████| 23/23 [00:08<00:00, 2.67it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.