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fantastic-chix-hr
fantastic-chix-hr

fantastic-chix-hr

45 stars
Version: 1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/b77ee7822af74c6f99d62f287cff8553/00000-848374186.webp
https://files.tungsten.run/uploads/b8d2ba91daff4833b47535085978b5d5/00001-848374187.webp
https://files.tungsten.run/uploads/8417df4b72a94af38bcb72083f9dab5b/00002-848374188.webp
https://files.tungsten.run/uploads/7aaf146fcd064da6b801178a78bb2130/00003-848374189.webp
This example was created by evevalentine2017
Finished in 112.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, best quality, ultra detailed, absurdres, photorealistic, 1girl, solo), woman in full length ornate gold and black dress, ( side view, looking at viewer:1.4), gold details, goth, (gigantic perky breasts), perky breasts, pale skin, black long pony tail, bimbo, (interior gothic mansion, maroon walls, candles), goth girl, <lora:goth_girl:0.7>, <lora:epiCRealismHelper:1>, Full negative prompt: nipples, topless, (more than 2 arms), EasyNegativeV2, By bad artist -neg, 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 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:49, 1.26s/it] 5%|▌ | 2/40 [00:02<00:55, 1.45s/it] 8%|▊ | 3/40 [00:04<01:00, 1.62s/it] 10%|█ | 4/40 [00:06<01:01, 1.71s/it] 12%|█▎ | 5/40 [00:08<01:00, 1.73s/it] 15%|█▌ | 6/40 [00:10<00:59, 1.75s/it] 18%|█▊ | 7/40 [00:11<00:56, 1.71s/it] 20%|██ | 8/40 [00:13<00:53, 1.68s/it] 22%|██▎ | 9/40 [00:15<00:53, 1.73s/it] 25%|██▌ | 10/40 [00:16<00:52, 1.73s/it] 28%|██▊ | 11/40 [00:18<00:50, 1.74s/it] 30%|███ | 12/40 [00:20<00:48, 1.74s/it] 32%|███▎ | 13/40 [00:22<00:47, 1.76s/it] 35%|███▌ | 14/40 [00:23<00:45, 1.76s/it] 38%|███▊ | 15/40 [00:25<00:43, 1.75s/it] 40%|████ | 16/40 [00:27<00:41, 1.72s/it] 42%|████▎ | 17/40 [00:29<00:39, 1.73s/it] 45%|████▌ | 18/40 [00:30<00:37, 1.72s/it] 48%|████▊ | 19/40 [00:32<00:36, 1.72s/it] 50%|█████ | 20/40 [00:34<00:33, 1.70s/it] 52%|█████▎ | 21/40 [00:35<00:31, 1.65s/it] 55%|█████▌ | 22/40 [00:37<00:29, 1.65s/it] 57%|█████▊ | 23/40 [00:39<00:28, 1.66s/it] 60%|██████ | 24/40 [00:40<00:26, 1.64s/it] 62%|██████▎ | 25/40 [00:42<00:24, 1.61s/it] 65%|██████▌ | 26/40 [00:43<00:23, 1.66s/it] 68%|██████▊ | 27/40 [00:45<00:21, 1.65s/it] 70%|███████ | 28/40 [00:47<00:19, 1.66s/it] 72%|███████▎ | 29/40 [00:48<00:17, 1.59s/it] 75%|███████▌ | 30/40 [00:50<00:15, 1.60s/it] 78%|███████▊ | 31/40 [00:51<00:14, 1.61s/it] 80%|████████ | 32/40 [00:53<00:12, 1.55s/it] 82%|████████▎ | 33/40 [00:54<00:10, 1.56s/it] 85%|████████▌ | 34/40 [00:56<00:08, 1.50s/it] 88%|████████▊ | 35/40 [00:57<00:07, 1.53s/it] 90%|█████████ | 36/40 [00:59<00:05, 1.49s/it] 92%|█████████▎| 37/40 [01:00<00:04, 1.47s/it] 95%|█████████▌| 38/40 [01:02<00:02, 1.42s/it] 98%|█████████▊| 39/40 [01:02<00:01, 1.23s/it] 100%|██████████| 40/40 [01:03<00:00, 1.05s/it] 100%|██████████| 40/40 [01:03<00:00, 1.59s/it] Decoding latents in cuda:0... done in 1.67s Move latents to cpu... done in 0.02s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:09, 2.12it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.13it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.21it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.20it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.17it/s] 30%|███ | 7/23 [00:03<00:07, 2.20it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.24it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.18it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.19it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.23it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.22it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.28it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.30it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.40it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.36it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.42it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.44it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.83it/s] 100%|██████████| 23/23 [00:09<00:00, 3.25it/s] 100%|██████████| 23/23 [00:09<00:00, 2.39it/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<00:10, 2.15it/s] 9%|▊ | 2/23 [00:00<00:09, 2.10it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.16it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.17it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.17it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.18it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.18it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.24it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.20it/s] 61%|██████ | 14/23 [00:06<00:04, 2.21it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.39it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.33it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.40it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.44it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.51it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.86it/s] 100%|██████████| 23/23 [00:09<00:00, 3.30it/s] 100%|██████████| 23/23 [00:09<00:00, 2.38it/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<00:10, 2.17it/s] 9%|▊ | 2/23 [00:00<00:09, 2.16it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.17it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.25it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.23it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.22it/s] 30%|███ | 7/23 [00:03<00:07, 2.24it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.26it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.17it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.18it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.18it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.27it/s] 61%|██████ | 14/23 [00:06<00:03, 2.26it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.34it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.34it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.41it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.37it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.43it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.45it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.53it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.88it/s] 100%|██████████| 23/23 [00:09<00:00, 3.31it/s] 100%|██████████| 23/23 [00:09<00:00, 2.42it/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<00:10, 2.10it/s] 9%|▊ | 2/23 [00:00<00:09, 2.11it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.17it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.23it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.21it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.19it/s] 30%|███ | 7/23 [00:03<00:07, 2.21it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.27it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.18it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.20it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.18it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.28it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.27it/s] 61%|██████ | 14/23 [00:06<00:03, 2.25it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.34it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.33it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.41it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.43it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.46it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.82it/s] 100%|██████████| 23/23 [00:09<00:00, 3.24it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
https://files.tungsten.run/uploads/b77ee7822af74c6f99d62f287cff8553/00000-848374186.webp
https://files.tungsten.run/uploads/b8d2ba91daff4833b47535085978b5d5/00001-848374187.webp
https://files.tungsten.run/uploads/8417df4b72a94af38bcb72083f9dab5b/00002-848374188.webp
https://files.tungsten.run/uploads/7aaf146fcd064da6b801178a78bb2130/00003-848374189.webp
This example was created by evevalentine2017
Finished in 112.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, best quality, ultra detailed, absurdres, photorealistic, 1girl, solo), woman in full length ornate gold and black dress, ( side view, looking at viewer:1.4), gold details, goth, (gigantic perky breasts), perky breasts, pale skin, black long pony tail, bimbo, (interior gothic mansion, maroon walls, candles), goth girl, <lora:goth_girl:0.7>, <lora:epiCRealismHelper:1>, Full negative prompt: nipples, topless, (more than 2 arms), EasyNegativeV2, By bad artist -neg, 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 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:49, 1.26s/it] 5%|▌ | 2/40 [00:02<00:55, 1.45s/it] 8%|▊ | 3/40 [00:04<01:00, 1.62s/it] 10%|█ | 4/40 [00:06<01:01, 1.71s/it] 12%|█▎ | 5/40 [00:08<01:00, 1.73s/it] 15%|█▌ | 6/40 [00:10<00:59, 1.75s/it] 18%|█▊ | 7/40 [00:11<00:56, 1.71s/it] 20%|██ | 8/40 [00:13<00:53, 1.68s/it] 22%|██▎ | 9/40 [00:15<00:53, 1.73s/it] 25%|██▌ | 10/40 [00:16<00:52, 1.73s/it] 28%|██▊ | 11/40 [00:18<00:50, 1.74s/it] 30%|███ | 12/40 [00:20<00:48, 1.74s/it] 32%|███▎ | 13/40 [00:22<00:47, 1.76s/it] 35%|███▌ | 14/40 [00:23<00:45, 1.76s/it] 38%|███▊ | 15/40 [00:25<00:43, 1.75s/it] 40%|████ | 16/40 [00:27<00:41, 1.72s/it] 42%|████▎ | 17/40 [00:29<00:39, 1.73s/it] 45%|████▌ | 18/40 [00:30<00:37, 1.72s/it] 48%|████▊ | 19/40 [00:32<00:36, 1.72s/it] 50%|█████ | 20/40 [00:34<00:33, 1.70s/it] 52%|█████▎ | 21/40 [00:35<00:31, 1.65s/it] 55%|█████▌ | 22/40 [00:37<00:29, 1.65s/it] 57%|█████▊ | 23/40 [00:39<00:28, 1.66s/it] 60%|██████ | 24/40 [00:40<00:26, 1.64s/it] 62%|██████▎ | 25/40 [00:42<00:24, 1.61s/it] 65%|██████▌ | 26/40 [00:43<00:23, 1.66s/it] 68%|██████▊ | 27/40 [00:45<00:21, 1.65s/it] 70%|███████ | 28/40 [00:47<00:19, 1.66s/it] 72%|███████▎ | 29/40 [00:48<00:17, 1.59s/it] 75%|███████▌ | 30/40 [00:50<00:15, 1.60s/it] 78%|███████▊ | 31/40 [00:51<00:14, 1.61s/it] 80%|████████ | 32/40 [00:53<00:12, 1.55s/it] 82%|████████▎ | 33/40 [00:54<00:10, 1.56s/it] 85%|████████▌ | 34/40 [00:56<00:08, 1.50s/it] 88%|████████▊ | 35/40 [00:57<00:07, 1.53s/it] 90%|█████████ | 36/40 [00:59<00:05, 1.49s/it] 92%|█████████▎| 37/40 [01:00<00:04, 1.47s/it] 95%|█████████▌| 38/40 [01:02<00:02, 1.42s/it] 98%|█████████▊| 39/40 [01:02<00:01, 1.23s/it] 100%|██████████| 40/40 [01:03<00:00, 1.05s/it] 100%|██████████| 40/40 [01:03<00:00, 1.59s/it] Decoding latents in cuda:0... done in 1.67s Move latents to cpu... done in 0.02s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:09, 2.12it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.13it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.21it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.20it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.17it/s] 30%|███ | 7/23 [00:03<00:07, 2.20it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.24it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.18it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.19it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.23it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.22it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.28it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.30it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.40it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.36it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.42it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.44it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.83it/s] 100%|██████████| 23/23 [00:09<00:00, 3.25it/s] 100%|██████████| 23/23 [00:09<00:00, 2.39it/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<00:10, 2.15it/s] 9%|▊ | 2/23 [00:00<00:09, 2.10it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.16it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.17it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.17it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.18it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.18it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.24it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.20it/s] 61%|██████ | 14/23 [00:06<00:04, 2.21it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.39it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.33it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.40it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.44it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.51it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.86it/s] 100%|██████████| 23/23 [00:09<00:00, 3.30it/s] 100%|██████████| 23/23 [00:09<00:00, 2.38it/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<00:10, 2.17it/s] 9%|▊ | 2/23 [00:00<00:09, 2.16it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.17it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.25it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.23it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.22it/s] 30%|███ | 7/23 [00:03<00:07, 2.24it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.26it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.17it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.18it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.18it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.27it/s] 61%|██████ | 14/23 [00:06<00:03, 2.26it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.34it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.34it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.41it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.37it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.43it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.45it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.53it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.88it/s] 100%|██████████| 23/23 [00:09<00:00, 3.31it/s] 100%|██████████| 23/23 [00:09<00:00, 2.42it/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<00:10, 2.10it/s] 9%|▊ | 2/23 [00:00<00:09, 2.11it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.17it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.23it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.21it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.19it/s] 30%|███ | 7/23 [00:03<00:07, 2.21it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.27it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.18it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.20it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.18it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.28it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.27it/s] 61%|██████ | 14/23 [00:06<00:03, 2.25it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.34it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.33it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.41it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.43it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.46it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.82it/s] 100%|██████████| 23/23 [00:09<00:00, 3.24it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.