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Pastry Chef with LoveXL
lovexl:v2.0
sparks
sparks
·
Feb 12
325
Input
prompt
Specify things to see in the output
A world-renowned pastry chef
negative_prompt
Specify things to not see in the output
, , ,
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/bee96755ed11405f99c9974402f920ce/00000-1160210734.webp
https://files.tungsten.run/uploads/a36bd058a74f4618ad881d0e511f2cf3/00001-1160210735.webp
https://files.tungsten.run/uploads/a201a5a4aa104b018ce7fb1198a3a008/00002-1160210736.webp
Finished in 224.3 seconds
Preparing inputs... Processing... Using seed 1160210734 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A world-renowned pastry chef, <lora:add-detail-xl:1.0> Full negative prompt: , , , 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:39, 2.54s/it] 5%|▌ | 2/40 [00:05<01:46, 2.80s/it] 8%|▊ | 3/40 [00:08<01:48, 2.94s/it] 10%|█ | 4/40 [00:12<01:53, 3.15s/it] 12%|█▎ | 5/40 [00:15<01:53, 3.23s/it] 15%|█▌ | 6/40 [00:18<01:48, 3.20s/it] 18%|█▊ | 7/40 [00:21<01:43, 3.12s/it] 20%|██ | 8/40 [00:24<01:39, 3.11s/it] 22%|██▎ | 9/40 [00:27<01:35, 3.09s/it] 25%|██▌ | 10/40 [00:30<01:33, 3.11s/it] 28%|██▊ | 11/40 [00:34<01:31, 3.14s/it] 30%|███ | 12/40 [00:37<01:29, 3.18s/it] 32%|███▎ | 13/40 [00:40<01:25, 3.16s/it] 35%|███▌ | 14/40 [00:43<01:23, 3.22s/it] 38%|███▊ | 15/40 [00:46<01:18, 3.15s/it] 40%|████ | 16/40 [00:50<01:16, 3.17s/it] 42%|████▎ | 17/40 [00:53<01:12, 3.17s/it] 45%|████▌ | 18/40 [00:56<01:11, 3.23s/it] 48%|████▊ | 19/40 [00:59<01:07, 3.20s/it] 50%|█████ | 20/40 [01:02<01:04, 3.22s/it] 52%|█████▎ | 21/40 [01:06<01:01, 3.23s/it] 55%|█████▌ | 22/40 [01:09<00:57, 3.20s/it] 57%|█████▊ | 23/40 [01:12<00:54, 3.21s/it] 60%|██████ | 24/40 [01:15<00:51, 3.20s/it] 62%|██████▎ | 25/40 [01:18<00:47, 3.16s/it] 65%|██████▌ | 26/40 [01:21<00:43, 3.12s/it] 68%|██████▊ | 27/40 [01:24<00:39, 3.03s/it] 70%|███████ | 28/40 [01:27<00:37, 3.10s/it] 72%|███████▎ | 29/40 [01:31<00:34, 3.10s/it] 75%|███████▌ | 30/40 [01:34<00:30, 3.10s/it] 78%|███████▊ | 31/40 [01:36<00:26, 2.98s/it] 80%|████████ | 32/40 [01:39<00:24, 3.02s/it] 82%|████████▎ | 33/40 [01:43<00:21, 3.03s/it] 85%|████████▌ | 34/40 [01:46<00:18, 3.11s/it] 88%|████████▊ | 35/40 [01:49<00:15, 3.06s/it] 90%|█████████ | 36/40 [01:52<00:12, 3.08s/it] 92%|█████████▎| 37/40 [01:55<00:09, 3.06s/it] 95%|█████████▌| 38/40 [01:58<00:06, 3.12s/it] 98%|█████████▊| 39/40 [02:00<00:02, 2.82s/it] 100%|██████████| 40/40 [02:02<00:00, 2.44s/it] 100%|██████████| 40/40 [02:02<00:00, 3.06s/it] Decoding latents in cuda:0... done in 2.82s Move latents to cpu... done in 0.03s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.03s/it] 15%|█▌ | 2/13 [00:01<00:10, 1.02it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.05it/s] 31%|███ | 4/13 [00:03<00:08, 1.11it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.10it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.09it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.05it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.07it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.06it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.07it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.05it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.17it/s] 100%|██████████| 13/13 [00:11<00:00, 1.36it/s] 100%|██████████| 13/13 [00:11<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.00s/it] 15%|█▌ | 2/13 [00:01<00:10, 1.05it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.06it/s] 31%|███ | 4/13 [00:03<00:08, 1.12it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.11it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.11it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.07it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.08it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.07it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.06it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.04it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.16it/s] 100%|██████████| 13/13 [00:11<00:00, 1.35it/s] 100%|██████████| 13/13 [00:11<00:00, 1.14it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.02s/it] 15%|█▌ | 2/13 [00:01<00:10, 1.03it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.05it/s] 31%|███ | 4/13 [00:03<00:08, 1.12it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.10it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.10it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.06it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.07it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.06it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.06it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.04it/s] 92%|█████████▏| 12/13 [00:11<00:00, 1.16it/s] 100%|██████████| 13/13 [00:11<00:00, 1.35it/s] 100%|██████████| 13/13 [00:11<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:11, 1.00it/s] 15%|█▌ | 2/13 [00:01<00:10, 1.05it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.07it/s] 31%|███ | 4/13 [00:03<00:08, 1.12it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.11it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.10it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.06it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.07it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.03it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.04it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.03it/s] 92%|█████████▏| 12/13 [00:11<00:00, 1.15it/s] 100%|██████████| 13/13 [00:11<00:00, 1.34it/s] 100%|██████████| 13/13 [00:11<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.05s/it] 15%|█▌ | 2/13 [00:02<00:13, 1.19s/it] 23%|██▎ | 3/13 [00:03<00:13, 1.35s/it] 31%|███ | 4/13 [00:05<00:12, 1.43s/it] 38%|███▊ | 5/13 [00:06<00:10, 1.35s/it] 46%|████▌ | 6/13 [00:07<00:08, 1.21s/it] 54%|█████▍ | 7/13 [00:08<00:06, 1.15s/it] 62%|██████▏ | 8/13 [00:09<00:05, 1.06s/it] 69%|██████▉ | 9/13 [00:10<00:04, 1.03s/it] 77%|███████▋ | 10/13 [00:11<00:03, 1.01s/it] 85%|████████▍ | 11/13 [00:12<00:02, 1.01s/it] 92%|█████████▏| 12/13 [00:13<00:00, 1.12it/s] 100%|██████████| 13/13 [00:13<00:00, 1.31it/s] 100%|██████████| 13/13 [00:13<00:00, 1.04s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.07s/it] 15%|█▌ | 2/13 [00:02<00:10, 1.01it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.03it/s] 31%|███ | 4/13 [00:03<00:08, 1.09it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.07it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.07it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.03it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.05it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.04it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.04it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.03it/s] 92%|█████████▏| 12/13 [00:11<00:00, 1.15it/s] 100%|██████████| 13/13 [00:11<00:00, 1.34it/s] 100%|██████████| 13/13 [00:11<00:00, 1.11it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:11, 1.00it/s] 15%|█▌ | 2/13 [00:01<00:10, 1.05it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.07it/s] 31%|███ | 4/13 [00:03<00:07, 1.13it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.11it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.11it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.06it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.07it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.06it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.05it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.03it/s] 92%|█████████▏| 12/13 [00:11<00:00, 1.14it/s] 100%|██████████| 13/13 [00:11<00:00, 1.34it/s] 100%|██████████| 13/13 [00:11<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
A world-renowned pastry chef
negative_prompt
Specify things to not see in the output
, , ,
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/bee96755ed11405f99c9974402f920ce/00000-1160210734.webp
https://files.tungsten.run/uploads/a36bd058a74f4618ad881d0e511f2cf3/00001-1160210735.webp
https://files.tungsten.run/uploads/a201a5a4aa104b018ce7fb1198a3a008/00002-1160210736.webp
Finished in 224.3 seconds
Preparing inputs... Processing... Using seed 1160210734 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A world-renowned pastry chef, <lora:add-detail-xl:1.0> Full negative prompt: , , , 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:39, 2.54s/it] 5%|▌ | 2/40 [00:05<01:46, 2.80s/it] 8%|▊ | 3/40 [00:08<01:48, 2.94s/it] 10%|█ | 4/40 [00:12<01:53, 3.15s/it] 12%|█▎ | 5/40 [00:15<01:53, 3.23s/it] 15%|█▌ | 6/40 [00:18<01:48, 3.20s/it] 18%|█▊ | 7/40 [00:21<01:43, 3.12s/it] 20%|██ | 8/40 [00:24<01:39, 3.11s/it] 22%|██▎ | 9/40 [00:27<01:35, 3.09s/it] 25%|██▌ | 10/40 [00:30<01:33, 3.11s/it] 28%|██▊ | 11/40 [00:34<01:31, 3.14s/it] 30%|███ | 12/40 [00:37<01:29, 3.18s/it] 32%|███▎ | 13/40 [00:40<01:25, 3.16s/it] 35%|███▌ | 14/40 [00:43<01:23, 3.22s/it] 38%|███▊ | 15/40 [00:46<01:18, 3.15s/it] 40%|████ | 16/40 [00:50<01:16, 3.17s/it] 42%|████▎ | 17/40 [00:53<01:12, 3.17s/it] 45%|████▌ | 18/40 [00:56<01:11, 3.23s/it] 48%|████▊ | 19/40 [00:59<01:07, 3.20s/it] 50%|█████ | 20/40 [01:02<01:04, 3.22s/it] 52%|█████▎ | 21/40 [01:06<01:01, 3.23s/it] 55%|█████▌ | 22/40 [01:09<00:57, 3.20s/it] 57%|█████▊ | 23/40 [01:12<00:54, 3.21s/it] 60%|██████ | 24/40 [01:15<00:51, 3.20s/it] 62%|██████▎ | 25/40 [01:18<00:47, 3.16s/it] 65%|██████▌ | 26/40 [01:21<00:43, 3.12s/it] 68%|██████▊ | 27/40 [01:24<00:39, 3.03s/it] 70%|███████ | 28/40 [01:27<00:37, 3.10s/it] 72%|███████▎ | 29/40 [01:31<00:34, 3.10s/it] 75%|███████▌ | 30/40 [01:34<00:30, 3.10s/it] 78%|███████▊ | 31/40 [01:36<00:26, 2.98s/it] 80%|████████ | 32/40 [01:39<00:24, 3.02s/it] 82%|████████▎ | 33/40 [01:43<00:21, 3.03s/it] 85%|████████▌ | 34/40 [01:46<00:18, 3.11s/it] 88%|████████▊ | 35/40 [01:49<00:15, 3.06s/it] 90%|█████████ | 36/40 [01:52<00:12, 3.08s/it] 92%|█████████▎| 37/40 [01:55<00:09, 3.06s/it] 95%|█████████▌| 38/40 [01:58<00:06, 3.12s/it] 98%|█████████▊| 39/40 [02:00<00:02, 2.82s/it] 100%|██████████| 40/40 [02:02<00:00, 2.44s/it] 100%|██████████| 40/40 [02:02<00:00, 3.06s/it] Decoding latents in cuda:0... done in 2.82s Move latents to cpu... done in 0.03s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.03s/it] 15%|█▌ | 2/13 [00:01<00:10, 1.02it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.05it/s] 31%|███ | 4/13 [00:03<00:08, 1.11it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.10it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.09it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.05it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.07it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.06it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.07it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.05it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.17it/s] 100%|██████████| 13/13 [00:11<00:00, 1.36it/s] 100%|██████████| 13/13 [00:11<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.00s/it] 15%|█▌ | 2/13 [00:01<00:10, 1.05it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.06it/s] 31%|███ | 4/13 [00:03<00:08, 1.12it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.11it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.11it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.07it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.08it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.07it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.06it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.04it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.16it/s] 100%|██████████| 13/13 [00:11<00:00, 1.35it/s] 100%|██████████| 13/13 [00:11<00:00, 1.14it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.02s/it] 15%|█▌ | 2/13 [00:01<00:10, 1.03it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.05it/s] 31%|███ | 4/13 [00:03<00:08, 1.12it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.10it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.10it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.06it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.07it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.06it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.06it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.04it/s] 92%|█████████▏| 12/13 [00:11<00:00, 1.16it/s] 100%|██████████| 13/13 [00:11<00:00, 1.35it/s] 100%|██████████| 13/13 [00:11<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:11, 1.00it/s] 15%|█▌ | 2/13 [00:01<00:10, 1.05it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.07it/s] 31%|███ | 4/13 [00:03<00:08, 1.12it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.11it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.10it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.06it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.07it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.03it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.04it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.03it/s] 92%|█████████▏| 12/13 [00:11<00:00, 1.15it/s] 100%|██████████| 13/13 [00:11<00:00, 1.34it/s] 100%|██████████| 13/13 [00:11<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.05s/it] 15%|█▌ | 2/13 [00:02<00:13, 1.19s/it] 23%|██▎ | 3/13 [00:03<00:13, 1.35s/it] 31%|███ | 4/13 [00:05<00:12, 1.43s/it] 38%|███▊ | 5/13 [00:06<00:10, 1.35s/it] 46%|████▌ | 6/13 [00:07<00:08, 1.21s/it] 54%|█████▍ | 7/13 [00:08<00:06, 1.15s/it] 62%|██████▏ | 8/13 [00:09<00:05, 1.06s/it] 69%|██████▉ | 9/13 [00:10<00:04, 1.03s/it] 77%|███████▋ | 10/13 [00:11<00:03, 1.01s/it] 85%|████████▍ | 11/13 [00:12<00:02, 1.01s/it] 92%|█████████▏| 12/13 [00:13<00:00, 1.12it/s] 100%|██████████| 13/13 [00:13<00:00, 1.31it/s] 100%|██████████| 13/13 [00:13<00:00, 1.04s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.07s/it] 15%|█▌ | 2/13 [00:02<00:10, 1.01it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.03it/s] 31%|███ | 4/13 [00:03<00:08, 1.09it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.07it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.07it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.03it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.05it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.04it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.04it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.03it/s] 92%|█████████▏| 12/13 [00:11<00:00, 1.15it/s] 100%|██████████| 13/13 [00:11<00:00, 1.34it/s] 100%|██████████| 13/13 [00:11<00:00, 1.11it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:11, 1.00it/s] 15%|█▌ | 2/13 [00:01<00:10, 1.05it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.07it/s] 31%|███ | 4/13 [00:03<00:07, 1.13it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.11it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.11it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.06it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.07it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.06it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.05it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.03it/s] 92%|█████████▏| 12/13 [00:11<00:00, 1.14it/s] 100%|██████████| 13/13 [00:11<00:00, 1.34it/s] 100%|██████████| 13/13 [00:11<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s Uploading outputs... Finished.