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The Swamp with Light & Shadow
light-and-shadow:v1.0
evevalentine2017
evevalentine2017
·
12/17/2023
337
Input
prompt
Specify things to see in the output
on a swamp battlefield, a dynamic Full Shot of 1boy of 20yo, Whisper Squad, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(nsfw:1.3), bad_prompt_version2-neg, bad-hands-5 , EasyNegative V2, (worst quality:2), (low quality:2), (normal quality:2), lowres, watermark, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature,
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
false
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.
498398697
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++ 3M SDE Karras
samping_steps
Number of denoising steps
55
cfg_scale
Scale for classifier-free guidance
7
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>
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)
bad_prompt_version2-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.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/6839f0f5402a4e788b89eaa3a506a67a/00000-498398697.webp
https://files.tungsten.run/uploads/2a42f235267940ec8f83f0c6c7cce4b6/00001-498398698.webp
https://files.tungsten.run/uploads/886b77fccd2042fd84d78bf6330a242f/00002-498398699.webp
https://files.tungsten.run/uploads/b0075cd79312451b8b9d5f0ce511d843/00003-498398700.webp
Finished in 121.0 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: on a swamp battlefield, a dynamic Full Shot of 1boy of 20yo, Whisper Squad, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: (nsfw:1.3), bad_prompt_version2-neg, bad-hands-5 , EasyNegative V2, (worst quality:2), (low quality:2), (normal quality:2), lowres, watermark, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, 0%| | 0/55 [00:00<?, ?it/s] 2%|▏ | 1/55 [00:01<01:10, 1.30s/it] 4%|▎ | 2/55 [00:03<01:21, 1.54s/it] 5%|▌ | 3/55 [00:04<01:25, 1.64s/it] 7%|▋ | 4/55 [00:06<01:27, 1.72s/it] 9%|▉ | 5/55 [00:08<01:26, 1.74s/it] 11%|█ | 6/55 [00:10<01:23, 1.71s/it] 13%|█▎ | 7/55 [00:11<01:21, 1.69s/it] 15%|█▍ | 8/55 [00:13<01:21, 1.74s/it] 16%|█▋ | 9/55 [00:15<01:20, 1.76s/it] 18%|█▊ | 10/55 [00:17<01:18, 1.75s/it] 20%|██ | 11/55 [00:18<01:17, 1.76s/it] 22%|██▏ | 12/55 [00:20<01:13, 1.70s/it] 24%|██▎ | 13/55 [00:22<01:11, 1.70s/it] 25%|██▌ | 14/55 [00:23<01:07, 1.66s/it] 27%|██▋ | 15/55 [00:25<01:06, 1.66s/it] 29%|██▉ | 16/55 [00:27<01:05, 1.67s/it] 31%|███ | 17/55 [00:28<01:04, 1.69s/it] 33%|███▎ | 18/55 [00:30<01:01, 1.67s/it] 35%|███▍ | 19/55 [00:32<01:00, 1.67s/it] 36%|███▋ | 20/55 [00:33<01:00, 1.73s/it] 38%|███▊ | 21/55 [00:35<00:57, 1.70s/it] 40%|████ | 22/55 [00:37<00:56, 1.70s/it] 42%|████▏ | 23/55 [00:38<00:52, 1.65s/it] 44%|████▎ | 24/55 [00:40<00:51, 1.65s/it] 45%|████▌ | 25/55 [00:42<00:49, 1.65s/it] 47%|████▋ | 26/55 [00:43<00:48, 1.67s/it] 49%|████▉ | 27/55 [00:45<00:46, 1.66s/it] 51%|█████ | 28/55 [00:47<00:44, 1.63s/it] 53%|█████▎ | 29/55 [00:48<00:44, 1.70s/it] 55%|█████▍ | 30/55 [00:50<00:41, 1.65s/it] 56%|█████▋ | 31/55 [00:52<00:39, 1.65s/it] 58%|█████▊ | 32/55 [00:53<00:37, 1.62s/it] 60%|██████ | 33/55 [00:55<00:36, 1.64s/it] 62%|██████▏ | 34/55 [00:56<00:33, 1.61s/it] 64%|██████▎ | 35/55 [00:58<00:32, 1.61s/it] 65%|██████▌ | 36/55 [01:00<00:31, 1.65s/it] 67%|██████▋ | 37/55 [01:01<00:29, 1.63s/it] 69%|██████▉ | 38/55 [01:03<00:26, 1.56s/it] 71%|███████ | 39/55 [01:04<00:23, 1.49s/it] 73%|███████▎ | 40/55 [01:05<00:21, 1.46s/it] 75%|███████▍ | 41/55 [01:07<00:20, 1.48s/it] 76%|███████▋ | 42/55 [01:09<00:19, 1.53s/it] 78%|███████▊ | 43/55 [01:10<00:18, 1.53s/it] 80%|████████ | 44/55 [01:12<00:16, 1.51s/it] 82%|████████▏ | 45/55 [01:13<00:14, 1.50s/it] 84%|████████▎ | 46/55 [01:15<00:13, 1.53s/it] 85%|████████▌ | 47/55 [01:16<00:12, 1.52s/it] 87%|████████▋ | 48/55 [01:18<00:10, 1.49s/it] 89%|████████▉ | 49/55 [01:19<00:09, 1.55s/it] 91%|█████████ | 50/55 [01:20<00:07, 1.46s/it] 93%|█████████▎| 51/55 [01:22<00:05, 1.40s/it] 95%|█████████▍| 52/55 [01:23<00:04, 1.39s/it] 96%|█████████▋| 53/55 [01:24<00:02, 1.37s/it] 98%|█████████▊| 54/55 [01:25<00:01, 1.19s/it] 100%|██████████| 55/55 [01:26<00:00, 1.02s/it] 100%|██████████| 55/55 [01:26<00:00, 1.57s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.01s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 2 with 1st settings. 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:13, 2.18it/s] 6%|▋ | 2/31 [00:00<00:13, 2.14it/s] 10%|▉ | 3/31 [00:01<00:12, 2.18it/s] 13%|█▎ | 4/31 [00:01<00:12, 2.23it/s] 16%|█▌ | 5/31 [00:02<00:11, 2.22it/s] 19%|█▉ | 6/31 [00:02<00:11, 2.26it/s] 23%|██▎ | 7/31 [00:03<00:10, 2.24it/s] 26%|██▌ | 8/31 [00:03<00:10, 2.26it/s] 29%|██▉ | 9/31 [00:04<00:09, 2.24it/s] 32%|███▏ | 10/31 [00:04<00:09, 2.26it/s] 35%|███▌ | 11/31 [00:04<00:08, 2.26it/s] 39%|███▊ | 12/31 [00:05<00:08, 2.23it/s] 42%|████▏ | 13/31 [00:05<00:08, 2.24it/s] 45%|████▌ | 14/31 [00:06<00:07, 2.32it/s] 48%|████▊ | 15/31 [00:06<00:06, 2.41it/s] 52%|█████▏ | 16/31 [00:06<00:06, 2.45it/s] 55%|█████▍ | 17/31 [00:07<00:05, 2.43it/s] 58%|█████▊ | 18/31 [00:07<00:05, 2.37it/s] 61%|██████▏ | 19/31 [00:08<00:05, 2.37it/s] 65%|██████▍ | 20/31 [00:08<00:04, 2.40it/s] 68%|██████▊ | 21/31 [00:09<00:04, 2.41it/s] 71%|███████ | 22/31 [00:09<00:03, 2.36it/s] 74%|███████▍ | 23/31 [00:09<00:03, 2.38it/s] 77%|███████▋ | 24/31 [00:10<00:02, 2.41it/s] 81%|████████ | 25/31 [00:10<00:02, 2.32it/s] 84%|████████▍ | 26/31 [00:11<00:02, 2.44it/s] 87%|████████▋ | 27/31 [00:11<00:01, 2.54it/s] 90%|█████████ | 28/31 [00:11<00:01, 2.54it/s] 94%|█████████▎| 29/31 [00:12<00:00, 2.57it/s] 97%|█████████▋| 30/31 [00:12<00:00, 2.93it/s] 100%|██████████| 31/31 [00:12<00:00, 3.35it/s] 100%|██████████| 31/31 [00:12<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:14, 2.14it/s] 6%|▋ | 2/31 [00:00<00:13, 2.10it/s] 10%|▉ | 3/31 [00:01<00:12, 2.16it/s] 13%|█▎ | 4/31 [00:01<00:12, 2.20it/s] 16%|█▌ | 5/31 [00:02<00:11, 2.19it/s] 19%|█▉ | 6/31 [00:02<00:11, 2.25it/s] 23%|██▎ | 7/31 [00:03<00:10, 2.23it/s] 26%|██▌ | 8/31 [00:03<00:10, 2.24it/s] 29%|██▉ | 9/31 [00:04<00:09, 2.20it/s] 32%|███▏ | 10/31 [00:04<00:09, 2.25it/s] 35%|███▌ | 11/31 [00:04<00:08, 2.24it/s] 39%|███▊ | 12/31 [00:05<00:08, 2.20it/s] 42%|████▏ | 13/31 [00:05<00:08, 2.21it/s] 45%|████▌ | 14/31 [00:06<00:07, 2.28it/s] 48%|████▊ | 15/31 [00:06<00:06, 2.37it/s] 52%|█████▏ | 16/31 [00:07<00:06, 2.41it/s] 55%|█████▍ | 17/31 [00:07<00:05, 2.40it/s] 58%|█████▊ | 18/31 [00:07<00:05, 2.33it/s] 61%|██████▏ | 19/31 [00:08<00:05, 2.34it/s] 65%|██████▍ | 20/31 [00:08<00:04, 2.37it/s] 68%|██████▊ | 21/31 [00:09<00:04, 2.39it/s] 71%|███████ | 22/31 [00:09<00:03, 2.34it/s] 74%|███████▍ | 23/31 [00:10<00:03, 2.38it/s] 77%|███████▋ | 24/31 [00:10<00:02, 2.43it/s] 81%|████████ | 25/31 [00:10<00:02, 2.35it/s] 84%|████████▍ | 26/31 [00:11<00:02, 2.47it/s] 87%|████████▋ | 27/31 [00:11<00:01, 2.58it/s] 90%|█████████ | 28/31 [00:11<00:01, 2.59it/s] 94%|█████████▎| 29/31 [00:12<00:00, 2.61it/s] 97%|█████████▋| 30/31 [00:12<00:00, 2.97it/s] 100%|██████████| 31/31 [00:12<00:00, 3.39it/s] 100%|██████████| 31/31 [00:12<00:00, 2.42it/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
on a swamp battlefield, a dynamic Full Shot of 1boy of 20yo, Whisper Squad, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(nsfw:1.3), bad_prompt_version2-neg, bad-hands-5 , EasyNegative V2, (worst quality:2), (low quality:2), (normal quality:2), lowres, watermark, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature,
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
false
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.
498398697
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++ 3M SDE Karras
samping_steps
Number of denoising steps
55
cfg_scale
Scale for classifier-free guidance
7
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>
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)
bad_prompt_version2-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/6839f0f5402a4e788b89eaa3a506a67a/00000-498398697.webp
https://files.tungsten.run/uploads/2a42f235267940ec8f83f0c6c7cce4b6/00001-498398698.webp
https://files.tungsten.run/uploads/886b77fccd2042fd84d78bf6330a242f/00002-498398699.webp
https://files.tungsten.run/uploads/b0075cd79312451b8b9d5f0ce511d843/00003-498398700.webp
Finished in 121.0 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: on a swamp battlefield, a dynamic Full Shot of 1boy of 20yo, Whisper Squad, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: (nsfw:1.3), bad_prompt_version2-neg, bad-hands-5 , EasyNegative V2, (worst quality:2), (low quality:2), (normal quality:2), lowres, watermark, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, 0%| | 0/55 [00:00<?, ?it/s] 2%|▏ | 1/55 [00:01<01:10, 1.30s/it] 4%|▎ | 2/55 [00:03<01:21, 1.54s/it] 5%|▌ | 3/55 [00:04<01:25, 1.64s/it] 7%|▋ | 4/55 [00:06<01:27, 1.72s/it] 9%|▉ | 5/55 [00:08<01:26, 1.74s/it] 11%|█ | 6/55 [00:10<01:23, 1.71s/it] 13%|█▎ | 7/55 [00:11<01:21, 1.69s/it] 15%|█▍ | 8/55 [00:13<01:21, 1.74s/it] 16%|█▋ | 9/55 [00:15<01:20, 1.76s/it] 18%|█▊ | 10/55 [00:17<01:18, 1.75s/it] 20%|██ | 11/55 [00:18<01:17, 1.76s/it] 22%|██▏ | 12/55 [00:20<01:13, 1.70s/it] 24%|██▎ | 13/55 [00:22<01:11, 1.70s/it] 25%|██▌ | 14/55 [00:23<01:07, 1.66s/it] 27%|██▋ | 15/55 [00:25<01:06, 1.66s/it] 29%|██▉ | 16/55 [00:27<01:05, 1.67s/it] 31%|███ | 17/55 [00:28<01:04, 1.69s/it] 33%|███▎ | 18/55 [00:30<01:01, 1.67s/it] 35%|███▍ | 19/55 [00:32<01:00, 1.67s/it] 36%|███▋ | 20/55 [00:33<01:00, 1.73s/it] 38%|███▊ | 21/55 [00:35<00:57, 1.70s/it] 40%|████ | 22/55 [00:37<00:56, 1.70s/it] 42%|████▏ | 23/55 [00:38<00:52, 1.65s/it] 44%|████▎ | 24/55 [00:40<00:51, 1.65s/it] 45%|████▌ | 25/55 [00:42<00:49, 1.65s/it] 47%|████▋ | 26/55 [00:43<00:48, 1.67s/it] 49%|████▉ | 27/55 [00:45<00:46, 1.66s/it] 51%|█████ | 28/55 [00:47<00:44, 1.63s/it] 53%|█████▎ | 29/55 [00:48<00:44, 1.70s/it] 55%|█████▍ | 30/55 [00:50<00:41, 1.65s/it] 56%|█████▋ | 31/55 [00:52<00:39, 1.65s/it] 58%|█████▊ | 32/55 [00:53<00:37, 1.62s/it] 60%|██████ | 33/55 [00:55<00:36, 1.64s/it] 62%|██████▏ | 34/55 [00:56<00:33, 1.61s/it] 64%|██████▎ | 35/55 [00:58<00:32, 1.61s/it] 65%|██████▌ | 36/55 [01:00<00:31, 1.65s/it] 67%|██████▋ | 37/55 [01:01<00:29, 1.63s/it] 69%|██████▉ | 38/55 [01:03<00:26, 1.56s/it] 71%|███████ | 39/55 [01:04<00:23, 1.49s/it] 73%|███████▎ | 40/55 [01:05<00:21, 1.46s/it] 75%|███████▍ | 41/55 [01:07<00:20, 1.48s/it] 76%|███████▋ | 42/55 [01:09<00:19, 1.53s/it] 78%|███████▊ | 43/55 [01:10<00:18, 1.53s/it] 80%|████████ | 44/55 [01:12<00:16, 1.51s/it] 82%|████████▏ | 45/55 [01:13<00:14, 1.50s/it] 84%|████████▎ | 46/55 [01:15<00:13, 1.53s/it] 85%|████████▌ | 47/55 [01:16<00:12, 1.52s/it] 87%|████████▋ | 48/55 [01:18<00:10, 1.49s/it] 89%|████████▉ | 49/55 [01:19<00:09, 1.55s/it] 91%|█████████ | 50/55 [01:20<00:07, 1.46s/it] 93%|█████████▎| 51/55 [01:22<00:05, 1.40s/it] 95%|█████████▍| 52/55 [01:23<00:04, 1.39s/it] 96%|█████████▋| 53/55 [01:24<00:02, 1.37s/it] 98%|█████████▊| 54/55 [01:25<00:01, 1.19s/it] 100%|██████████| 55/55 [01:26<00:00, 1.02s/it] 100%|██████████| 55/55 [01:26<00:00, 1.57s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.01s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 2 with 1st settings. 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:13, 2.18it/s] 6%|▋ | 2/31 [00:00<00:13, 2.14it/s] 10%|▉ | 3/31 [00:01<00:12, 2.18it/s] 13%|█▎ | 4/31 [00:01<00:12, 2.23it/s] 16%|█▌ | 5/31 [00:02<00:11, 2.22it/s] 19%|█▉ | 6/31 [00:02<00:11, 2.26it/s] 23%|██▎ | 7/31 [00:03<00:10, 2.24it/s] 26%|██▌ | 8/31 [00:03<00:10, 2.26it/s] 29%|██▉ | 9/31 [00:04<00:09, 2.24it/s] 32%|███▏ | 10/31 [00:04<00:09, 2.26it/s] 35%|███▌ | 11/31 [00:04<00:08, 2.26it/s] 39%|███▊ | 12/31 [00:05<00:08, 2.23it/s] 42%|████▏ | 13/31 [00:05<00:08, 2.24it/s] 45%|████▌ | 14/31 [00:06<00:07, 2.32it/s] 48%|████▊ | 15/31 [00:06<00:06, 2.41it/s] 52%|█████▏ | 16/31 [00:06<00:06, 2.45it/s] 55%|█████▍ | 17/31 [00:07<00:05, 2.43it/s] 58%|█████▊ | 18/31 [00:07<00:05, 2.37it/s] 61%|██████▏ | 19/31 [00:08<00:05, 2.37it/s] 65%|██████▍ | 20/31 [00:08<00:04, 2.40it/s] 68%|██████▊ | 21/31 [00:09<00:04, 2.41it/s] 71%|███████ | 22/31 [00:09<00:03, 2.36it/s] 74%|███████▍ | 23/31 [00:09<00:03, 2.38it/s] 77%|███████▋ | 24/31 [00:10<00:02, 2.41it/s] 81%|████████ | 25/31 [00:10<00:02, 2.32it/s] 84%|████████▍ | 26/31 [00:11<00:02, 2.44it/s] 87%|████████▋ | 27/31 [00:11<00:01, 2.54it/s] 90%|█████████ | 28/31 [00:11<00:01, 2.54it/s] 94%|█████████▎| 29/31 [00:12<00:00, 2.57it/s] 97%|█████████▋| 30/31 [00:12<00:00, 2.93it/s] 100%|██████████| 31/31 [00:12<00:00, 3.35it/s] 100%|██████████| 31/31 [00:12<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:14, 2.14it/s] 6%|▋ | 2/31 [00:00<00:13, 2.10it/s] 10%|▉ | 3/31 [00:01<00:12, 2.16it/s] 13%|█▎ | 4/31 [00:01<00:12, 2.20it/s] 16%|█▌ | 5/31 [00:02<00:11, 2.19it/s] 19%|█▉ | 6/31 [00:02<00:11, 2.25it/s] 23%|██▎ | 7/31 [00:03<00:10, 2.23it/s] 26%|██▌ | 8/31 [00:03<00:10, 2.24it/s] 29%|██▉ | 9/31 [00:04<00:09, 2.20it/s] 32%|███▏ | 10/31 [00:04<00:09, 2.25it/s] 35%|███▌ | 11/31 [00:04<00:08, 2.24it/s] 39%|███▊ | 12/31 [00:05<00:08, 2.20it/s] 42%|████▏ | 13/31 [00:05<00:08, 2.21it/s] 45%|████▌ | 14/31 [00:06<00:07, 2.28it/s] 48%|████▊ | 15/31 [00:06<00:06, 2.37it/s] 52%|█████▏ | 16/31 [00:07<00:06, 2.41it/s] 55%|█████▍ | 17/31 [00:07<00:05, 2.40it/s] 58%|█████▊ | 18/31 [00:07<00:05, 2.33it/s] 61%|██████▏ | 19/31 [00:08<00:05, 2.34it/s] 65%|██████▍ | 20/31 [00:08<00:04, 2.37it/s] 68%|██████▊ | 21/31 [00:09<00:04, 2.39it/s] 71%|███████ | 22/31 [00:09<00:03, 2.34it/s] 74%|███████▍ | 23/31 [00:10<00:03, 2.38it/s] 77%|███████▋ | 24/31 [00:10<00:02, 2.43it/s] 81%|████████ | 25/31 [00:10<00:02, 2.35it/s] 84%|████████▍ | 26/31 [00:11<00:02, 2.47it/s] 87%|████████▋ | 27/31 [00:11<00:01, 2.58it/s] 90%|█████████ | 28/31 [00:11<00:01, 2.59it/s] 94%|█████████▎| 29/31 [00:12<00:00, 2.61it/s] 97%|█████████▋| 30/31 [00:12<00:00, 2.97it/s] 100%|██████████| 31/31 [00:12<00:00, 3.39it/s] 100%|██████████| 31/31 [00:12<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.