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sdvn6-realxl
sdvn6-realxl

sdvn6-realxl

10 stars
Version: ba2e7eb
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
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/6e62fb954de64e0f9b8d163cbce6f287/00000-1297965625.webp
https://files.tungsten.run/uploads/94bfdc0bf69249be9bc4cc62c6d2b701/00001-1297965626.webp
https://files.tungsten.run/uploads/52219fbef2744be79af1f6babfd62ac3/00002-1297965627.webp
This example was created by sparks
Finished in 102.2 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, best quality, ultra sharp, 32k, ultra realistic portrait, glamour art by magazine, shiny body, (natural color skin, skinny:1.2), long wavy hair, ponytail, (medium breasts:1.4), cinematic light, vivid colors, best shadows, cinematic erotic pose, ( skinny:1.2), cinematic composition, vivid colors, best shadows, sexy milf with perfect legs shot in sandals Veronica Zemanova on her back in a luxurious Victorian leather bed in a pose from the Kama Sutra book, detailed big eyes, luxurious evening cocktail dress, detailed textures, ultra high lighting, night shadows , night lighting, lace stockings, <lora:add-detail-xl:1.5> Full negative prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), tooth, open mouth, long body, deformed, extra limbs, extra hands, extra feet 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:46, 1.18s/it] 5%|▌ | 2/40 [00:02<00:44, 1.18s/it] 8%|▊ | 3/40 [00:03<00:43, 1.19s/it] 10%|█ | 4/40 [00:04<00:42, 1.19s/it] 12%|█▎ | 5/40 [00:05<00:41, 1.19s/it] 15%|█▌ | 6/40 [00:07<00:40, 1.19s/it] 18%|█▊ | 7/40 [00:08<00:39, 1.19s/it] 20%|██ | 8/40 [00:09<00:38, 1.19s/it] 22%|██▎ | 9/40 [00:10<00:36, 1.19s/it] 25%|██▌ | 10/40 [00:11<00:35, 1.19s/it] 28%|██▊ | 11/40 [00:13<00:34, 1.19s/it] 30%|███ | 12/40 [00:14<00:33, 1.19s/it] 32%|███▎ | 13/40 [00:15<00:32, 1.19s/it] 35%|███▌ | 14/40 [00:16<00:30, 1.19s/it] 38%|███▊ | 15/40 [00:17<00:29, 1.20s/it] 40%|████ | 16/40 [00:19<00:28, 1.20s/it] 42%|████▎ | 17/40 [00:20<00:27, 1.21s/it] 45%|████▌ | 18/40 [00:21<00:26, 1.21s/it] 48%|████▊ | 19/40 [00:22<00:25, 1.21s/it] 50%|█████ | 20/40 [00:23<00:24, 1.22s/it] 52%|█████▎ | 21/40 [00:25<00:23, 1.22s/it] 55%|█████▌ | 22/40 [00:26<00:21, 1.22s/it] 57%|█████▊ | 23/40 [00:27<00:20, 1.22s/it] 60%|██████ | 24/40 [00:28<00:19, 1.22s/it] 62%|██████▎ | 25/40 [00:30<00:18, 1.22s/it] 65%|██████▌ | 26/40 [00:31<00:17, 1.22s/it] 68%|██████▊ | 27/40 [00:32<00:15, 1.22s/it] 70%|███████ | 28/40 [00:33<00:14, 1.22s/it] 72%|███████▎ | 29/40 [00:34<00:13, 1.22s/it] 75%|███████▌ | 30/40 [00:36<00:12, 1.22s/it] 78%|███████▊ | 31/40 [00:37<00:10, 1.22s/it] 80%|████████ | 32/40 [00:38<00:09, 1.22s/it] 82%|████████▎ | 33/40 [00:39<00:08, 1.22s/it] 85%|████████▌ | 34/40 [00:41<00:07, 1.22s/it] 88%|████████▊ | 35/40 [00:42<00:06, 1.22s/it] 90%|█████████ | 36/40 [00:43<00:04, 1.22s/it] 92%|█████████▎| 37/40 [00:44<00:03, 1.22s/it] 95%|█████████▌| 38/40 [00:45<00:02, 1.22s/it] 98%|█████████▊| 39/40 [00:47<00:01, 1.22s/it] 100%|██████████| 40/40 [00:48<00:00, 1.22s/it] 100%|██████████| 40/40 [00:48<00:00, 1.21s/it] Decoding latents in cuda:0... done in 2.22s Move latents to cpu... done in 0.01s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.61it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.60it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.59it/s] 31%|███ | 4/13 [00:02<00:05, 1.60it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.61it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.61it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.62it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.60it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.58it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.59it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.59it/s] 100%|██████████| 13/13 [00:08<00:00, 1.61it/s] 100%|██████████| 13/13 [00:08<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.74s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.60it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.60it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.56it/s] 31%|███ | 4/13 [00:02<00:05, 1.59it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.61it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.61it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.59it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.58it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.59it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.58it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.59it/s] 100%|██████████| 13/13 [00:08<00:00, 1.59it/s] 100%|██████████| 13/13 [00:08<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.55it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.55it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.58it/s] 31%|███ | 4/13 [00:02<00:05, 1.62it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.63it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.64it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.62it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.63it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.63it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.63it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.64it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.63it/s] 100%|██████████| 13/13 [00:08<00:00, 1.63it/s] 100%|██████████| 13/13 [00:08<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.60it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.60it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.57it/s] 31%|███ | 4/13 [00:02<00:05, 1.59it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.58it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.59it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.60it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.60it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.61it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.61it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.62it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.62it/s] 100%|██████████| 13/13 [00:08<00:00, 1.62it/s] 100%|██████████| 13/13 [00:08<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.74s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.59it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.60it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.59it/s] 31%|███ | 4/13 [00:02<00:05, 1.61it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.62it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.63it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.59it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.58it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.59it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.59it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.60it/s] 100%|██████████| 13/13 [00:08<00:00, 1.62it/s] 100%|██████████| 13/13 [00:08<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s Uploading outputs... 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
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/6e62fb954de64e0f9b8d163cbce6f287/00000-1297965625.webp
https://files.tungsten.run/uploads/94bfdc0bf69249be9bc4cc62c6d2b701/00001-1297965626.webp
https://files.tungsten.run/uploads/52219fbef2744be79af1f6babfd62ac3/00002-1297965627.webp
This example was created by sparks
Finished in 102.2 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, best quality, ultra sharp, 32k, ultra realistic portrait, glamour art by magazine, shiny body, (natural color skin, skinny:1.2), long wavy hair, ponytail, (medium breasts:1.4), cinematic light, vivid colors, best shadows, cinematic erotic pose, ( skinny:1.2), cinematic composition, vivid colors, best shadows, sexy milf with perfect legs shot in sandals Veronica Zemanova on her back in a luxurious Victorian leather bed in a pose from the Kama Sutra book, detailed big eyes, luxurious evening cocktail dress, detailed textures, ultra high lighting, night shadows , night lighting, lace stockings, <lora:add-detail-xl:1.5> Full negative prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), tooth, open mouth, long body, deformed, extra limbs, extra hands, extra feet 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:46, 1.18s/it] 5%|▌ | 2/40 [00:02<00:44, 1.18s/it] 8%|▊ | 3/40 [00:03<00:43, 1.19s/it] 10%|█ | 4/40 [00:04<00:42, 1.19s/it] 12%|█▎ | 5/40 [00:05<00:41, 1.19s/it] 15%|█▌ | 6/40 [00:07<00:40, 1.19s/it] 18%|█▊ | 7/40 [00:08<00:39, 1.19s/it] 20%|██ | 8/40 [00:09<00:38, 1.19s/it] 22%|██▎ | 9/40 [00:10<00:36, 1.19s/it] 25%|██▌ | 10/40 [00:11<00:35, 1.19s/it] 28%|██▊ | 11/40 [00:13<00:34, 1.19s/it] 30%|███ | 12/40 [00:14<00:33, 1.19s/it] 32%|███▎ | 13/40 [00:15<00:32, 1.19s/it] 35%|███▌ | 14/40 [00:16<00:30, 1.19s/it] 38%|███▊ | 15/40 [00:17<00:29, 1.20s/it] 40%|████ | 16/40 [00:19<00:28, 1.20s/it] 42%|████▎ | 17/40 [00:20<00:27, 1.21s/it] 45%|████▌ | 18/40 [00:21<00:26, 1.21s/it] 48%|████▊ | 19/40 [00:22<00:25, 1.21s/it] 50%|█████ | 20/40 [00:23<00:24, 1.22s/it] 52%|█████▎ | 21/40 [00:25<00:23, 1.22s/it] 55%|█████▌ | 22/40 [00:26<00:21, 1.22s/it] 57%|█████▊ | 23/40 [00:27<00:20, 1.22s/it] 60%|██████ | 24/40 [00:28<00:19, 1.22s/it] 62%|██████▎ | 25/40 [00:30<00:18, 1.22s/it] 65%|██████▌ | 26/40 [00:31<00:17, 1.22s/it] 68%|██████▊ | 27/40 [00:32<00:15, 1.22s/it] 70%|███████ | 28/40 [00:33<00:14, 1.22s/it] 72%|███████▎ | 29/40 [00:34<00:13, 1.22s/it] 75%|███████▌ | 30/40 [00:36<00:12, 1.22s/it] 78%|███████▊ | 31/40 [00:37<00:10, 1.22s/it] 80%|████████ | 32/40 [00:38<00:09, 1.22s/it] 82%|████████▎ | 33/40 [00:39<00:08, 1.22s/it] 85%|████████▌ | 34/40 [00:41<00:07, 1.22s/it] 88%|████████▊ | 35/40 [00:42<00:06, 1.22s/it] 90%|█████████ | 36/40 [00:43<00:04, 1.22s/it] 92%|█████████▎| 37/40 [00:44<00:03, 1.22s/it] 95%|█████████▌| 38/40 [00:45<00:02, 1.22s/it] 98%|█████████▊| 39/40 [00:47<00:01, 1.22s/it] 100%|██████████| 40/40 [00:48<00:00, 1.22s/it] 100%|██████████| 40/40 [00:48<00:00, 1.21s/it] Decoding latents in cuda:0... done in 2.22s Move latents to cpu... done in 0.01s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.61it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.60it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.59it/s] 31%|███ | 4/13 [00:02<00:05, 1.60it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.61it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.61it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.62it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.60it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.58it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.59it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.59it/s] 100%|██████████| 13/13 [00:08<00:00, 1.61it/s] 100%|██████████| 13/13 [00:08<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.74s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.60it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.60it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.56it/s] 31%|███ | 4/13 [00:02<00:05, 1.59it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.61it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.61it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.59it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.58it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.59it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.58it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.59it/s] 100%|██████████| 13/13 [00:08<00:00, 1.59it/s] 100%|██████████| 13/13 [00:08<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.55it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.55it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.58it/s] 31%|███ | 4/13 [00:02<00:05, 1.62it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.63it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.64it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.62it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.63it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.63it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.63it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.64it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.63it/s] 100%|██████████| 13/13 [00:08<00:00, 1.63it/s] 100%|██████████| 13/13 [00:08<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.60it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.60it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.57it/s] 31%|███ | 4/13 [00:02<00:05, 1.59it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.58it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.59it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.60it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.60it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.61it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.61it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.62it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.62it/s] 100%|██████████| 13/13 [00:08<00:00, 1.62it/s] 100%|██████████| 13/13 [00:08<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.74s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.59it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.60it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.59it/s] 31%|███ | 4/13 [00:02<00:05, 1.61it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.62it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.63it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.59it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.58it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.59it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.59it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.60it/s] 100%|██████████| 13/13 [00:08<00:00, 1.62it/s] 100%|██████████| 13/13 [00:08<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s Uploading outputs... Finished.