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Granny
Valiant Stallion -Realistic PD:v3.0
zennerhenric
zennerhenric
·
Jul 22
15
Input
prompt
Specify things to see in the output
Soft lighting​,​​​​​​​​​​​​​​ highly detailed, high quality image, photorealistic image. Portrait of a female Knight ((light pink hair, mature woman, wrinkles, face tattoo)), (((golden eyes, Big smile, Perfect teeth))), wearing Ebony Steel Armor + Fur Cape + Fur Scarf. (((DISTANT VIEW, Full body in frame))) People in Background. Marketplace in background. Medieval setting. detailxl
negative_prompt
Specify things to not see in the output
score_6, score_5, score_4, muscular, simple background, 3d, blurry, bad face, extra limbs. extra fingers. bad res, unsharp face, long neck, closeup, ng_deepnegative_v1_75t
PonyDetailV20
Pony Detail V20
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0.35
detail
Enhance/diminish detail while keeping the overall style/character
2
brightness
Adjust brightness
1
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
Euler a
samping_steps
Number of denoising steps
48
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
ponyxl_armpit_sex.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
hera.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
armpit-sex-ponyxl-lora-nochekaiser_r1.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
NegPDXL-DHP.safetensors
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/1032a3ea71bf4e598a8f6fc0c38786b8/output-6b72b2dd224e4b5988f82291415761c5-00000-1161100264.webp
https://files.tungsten.run/uploads/9c76a5d005d94bbeb1b55d5bfdecc398/output-fe6d48a4e8cc46328b38f1da2f7c0e60-00001-1161100265.webp
https://files.tungsten.run/uploads/a2c105ce43ac4581b09835f398b4c920/output-7bf098f850d24719be3ad7374fed5f40-00002-1161100266.webp
Finished in 87.0 seconds
Using seed 1161100264 Full prompt: Hires, Detailed, Absurdres, absurdres, detailed, hires, Soft lighting​,​​​​​​​​​​​​​​ highly detailed, high quality image, photorealistic image. Portrait of a female Knight ((light pink hair, mature woman, wrinkles, face tattoo)), (((golden eyes, Big smile, Perfect teeth))), wearing Ebony Steel Armor + Fur Cape + Fur Scarf. (((DISTANT VIEW, Full body in frame))) People in Background. Marketplace in background. Medieval setting. detailxl, <lora:add-detail-xl:2.0>, <lora:TLS:1.0> Full negative prompt: score_6, score_5, score_4, muscular, simple background, 3d, blurry, bad face, extra limbs. extra fingers. bad res, unsharp face, long neck, closeup, ng_deepnegative_v1_75t 0%| | 0/48 [00:00<?, ?it/s] 2%|▏ | 1/48 [00:00<00:41, 1.14it/s] 4%|▍ | 2/48 [00:01<00:41, 1.11it/s] 6%|▋ | 3/48 [00:02<00:40, 1.10it/s] 8%|▊ | 4/48 [00:03<00:40, 1.09it/s] 10%|█ | 5/48 [00:04<00:39, 1.08it/s] 12%|█▎ | 6/48 [00:05<00:38, 1.08it/s] 15%|█▍ | 7/48 [00:06<00:37, 1.08it/s] 17%|█▋ | 8/48 [00:07<00:37, 1.08it/s] 19%|█▉ | 9/48 [00:08<00:36, 1.08it/s] 21%|██ | 10/48 [00:09<00:35, 1.08it/s] 23%|██▎ | 11/48 [00:10<00:34, 1.07it/s] 25%|██▌ | 12/48 [00:11<00:33, 1.07it/s] 27%|██▋ | 13/48 [00:12<00:32, 1.07it/s] 29%|██▉ | 14/48 [00:12<00:31, 1.07it/s] 31%|███▏ | 15/48 [00:13<00:30, 1.07it/s] 33%|███▎ | 16/48 [00:14<00:29, 1.07it/s] 35%|███▌ | 17/48 [00:15<00:29, 1.06it/s] 38%|███▊ | 18/48 [00:16<00:28, 1.06it/s] 40%|███▉ | 19/48 [00:17<00:27, 1.06it/s] 42%|████▏ | 20/48 [00:18<00:26, 1.06it/s] 44%|████▍ | 21/48 [00:19<00:25, 1.06it/s] 46%|████▌ | 22/48 [00:20<00:24, 1.05it/s] 48%|████▊ | 23/48 [00:21<00:23, 1.05it/s] 50%|█████ | 24/48 [00:22<00:22, 1.05it/s] 52%|█████▏ | 25/48 [00:23<00:22, 1.04it/s] 54%|█████▍ | 26/48 [00:24<00:21, 1.04it/s] 56%|█████▋ | 27/48 [00:25<00:20, 1.04it/s] 58%|█████▊ | 28/48 [00:26<00:19, 1.04it/s] 60%|██████ | 29/48 [00:27<00:18, 1.04it/s] 62%|██████▎ | 30/48 [00:28<00:17, 1.04it/s] 65%|██████▍ | 31/48 [00:29<00:17, 1.05s/it] 67%|██████▋ | 32/48 [00:30<00:16, 1.02s/it] 69%|██████▉ | 33/48 [00:31<00:15, 1.01s/it] 71%|███████ | 34/48 [00:32<00:13, 1.00it/s] 73%|███████▎ | 35/48 [00:33<00:12, 1.01it/s] 75%|███████▌ | 36/48 [00:34<00:11, 1.01it/s] 77%|███████▋ | 37/48 [00:35<00:10, 1.01it/s] 79%|███████▉ | 38/48 [00:36<00:09, 1.01it/s] 81%|████████▏ | 39/48 [00:37<00:08, 1.01it/s] 83%|████████▎ | 40/48 [00:38<00:07, 1.02it/s] 85%|████████▌ | 41/48 [00:39<00:06, 1.01it/s] 88%|████████▊ | 42/48 [00:40<00:05, 1.01it/s] 90%|████████▉ | 43/48 [00:41<00:04, 1.01it/s] 92%|█████████▏| 44/48 [00:42<00:03, 1.01it/s] 94%|█████████▍| 45/48 [00:43<00:02, 1.01it/s] 96%|█████████▌| 46/48 [00:44<00:01, 1.01it/s] 98%|█████████▊| 47/48 [00:45<00:00, 1.01it/s] 100%|██████████| 48/48 [00:46<00:00, 1.01it/s] 100%|██████████| 48/48 [00:46<00:00, 1.04it/s] Decoding latents in cuda:0... done in 1.84s Move latents to cpu... done in 0.01s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.50it/s] 12%|█▏ | 2/17 [00:01<00:10, 1.47it/s] 18%|█▊ | 3/17 [00:01<00:09, 1.52it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.55it/s] 29%|██▉ | 5/17 [00:03<00:07, 1.58it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.58it/s] 41%|████ | 7/17 [00:04<00:06, 1.58it/s] 47%|████▋ | 8/17 [00:05<00:05, 1.58it/s] 53%|█████▎ | 9/17 [00:05<00:05, 1.59it/s] 59%|█████▉ | 10/17 [00:06<00:04, 1.57it/s] 65%|██████▍ | 11/17 [00:07<00:03, 1.58it/s] 71%|███████ | 12/17 [00:07<00:03, 1.58it/s] 76%|███████▋ | 13/17 [00:08<00:02, 1.59it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.60it/s] 88%|████████▊ | 15/17 [00:09<00:01, 1.60it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.60it/s] 100%|██████████| 17/17 [00:10<00:00, 1.60it/s] 100%|██████████| 17/17 [00:10<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:11, 1.44it/s] 12%|█▏ | 2/17 [00:01<00:10, 1.48it/s] 18%|█▊ | 3/17 [00:01<00:09, 1.54it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.54it/s] 29%|██▉ | 5/17 [00:03<00:07, 1.57it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.58it/s] 41%|████ | 7/17 [00:04<00:06, 1.59it/s] 47%|████▋ | 8/17 [00:05<00:05, 1.59it/s] 53%|█████▎ | 9/17 [00:05<00:04, 1.60it/s] 59%|█████▉ | 10/17 [00:06<00:04, 1.61it/s] 65%|██████▍ | 11/17 [00:07<00:03, 1.57it/s] 71%|███████ | 12/17 [00:07<00:03, 1.54it/s] 76%|███████▋ | 13/17 [00:08<00:02, 1.55it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.57it/s] 88%|████████▊ | 15/17 [00:09<00:01, 1.59it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.59it/s] 100%|██████████| 17/17 [00:10<00:00, 1.57it/s] 100%|██████████| 17/17 [00:10<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.60it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.56it/s] 18%|█▊ | 3/17 [00:01<00:08, 1.58it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.59it/s] 29%|██▉ | 5/17 [00:03<00:07, 1.60it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.59it/s] 41%|████ | 7/17 [00:04<00:06, 1.60it/s] 47%|████▋ | 8/17 [00:05<00:05, 1.60it/s] 53%|█████▎ | 9/17 [00:05<00:04, 1.61it/s] 59%|█████▉ | 10/17 [00:06<00:04, 1.60it/s] 65%|██████▍ | 11/17 [00:06<00:03, 1.60it/s] 71%|███████ | 12/17 [00:07<00:03, 1.60it/s] 76%|███████▋ | 13/17 [00:08<00:02, 1.60it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.59it/s] 88%|████████▊ | 15/17 [00:09<00:01, 1.59it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.59it/s] 100%|██████████| 17/17 [00:10<00:00, 1.61it/s] 100%|██████████| 17/17 [00:10<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt
Specify things to see in the output
Soft lighting​,​​​​​​​​​​​​​​ highly detailed, high quality image, photorealistic image. Portrait of a female Knight ((light pink hair, mature woman, wrinkles, face tattoo)), (((golden eyes, Big smile, Perfect teeth))), wearing Ebony Steel Armor + Fur Cape + Fur Scarf. (((DISTANT VIEW, Full body in frame))) People in Background. Marketplace in background. Medieval setting. detailxl
negative_prompt
Specify things to not see in the output
score_6, score_5, score_4, muscular, simple background, 3d, blurry, bad face, extra limbs. extra fingers. bad res, unsharp face, long neck, closeup, ng_deepnegative_v1_75t
PonyDetailV20
Pony Detail V20
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0.35
detail
Enhance/diminish detail while keeping the overall style/character
2
brightness
Adjust brightness
1
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
Euler a
samping_steps
Number of denoising steps
48
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
ponyxl_armpit_sex.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
hera.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
armpit-sex-ponyxl-lora-nochekaiser_r1.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
NegPDXL-DHP.safetensors
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/1032a3ea71bf4e598a8f6fc0c38786b8/output-6b72b2dd224e4b5988f82291415761c5-00000-1161100264.webp
https://files.tungsten.run/uploads/9c76a5d005d94bbeb1b55d5bfdecc398/output-fe6d48a4e8cc46328b38f1da2f7c0e60-00001-1161100265.webp
https://files.tungsten.run/uploads/a2c105ce43ac4581b09835f398b4c920/output-7bf098f850d24719be3ad7374fed5f40-00002-1161100266.webp
Finished in 87.0 seconds
Using seed 1161100264 Full prompt: Hires, Detailed, Absurdres, absurdres, detailed, hires, Soft lighting​,​​​​​​​​​​​​​​ highly detailed, high quality image, photorealistic image. Portrait of a female Knight ((light pink hair, mature woman, wrinkles, face tattoo)), (((golden eyes, Big smile, Perfect teeth))), wearing Ebony Steel Armor + Fur Cape + Fur Scarf. (((DISTANT VIEW, Full body in frame))) People in Background. Marketplace in background. Medieval setting. detailxl, <lora:add-detail-xl:2.0>, <lora:TLS:1.0> Full negative prompt: score_6, score_5, score_4, muscular, simple background, 3d, blurry, bad face, extra limbs. extra fingers. bad res, unsharp face, long neck, closeup, ng_deepnegative_v1_75t 0%| | 0/48 [00:00<?, ?it/s] 2%|▏ | 1/48 [00:00<00:41, 1.14it/s] 4%|▍ | 2/48 [00:01<00:41, 1.11it/s] 6%|▋ | 3/48 [00:02<00:40, 1.10it/s] 8%|▊ | 4/48 [00:03<00:40, 1.09it/s] 10%|█ | 5/48 [00:04<00:39, 1.08it/s] 12%|█▎ | 6/48 [00:05<00:38, 1.08it/s] 15%|█▍ | 7/48 [00:06<00:37, 1.08it/s] 17%|█▋ | 8/48 [00:07<00:37, 1.08it/s] 19%|█▉ | 9/48 [00:08<00:36, 1.08it/s] 21%|██ | 10/48 [00:09<00:35, 1.08it/s] 23%|██▎ | 11/48 [00:10<00:34, 1.07it/s] 25%|██▌ | 12/48 [00:11<00:33, 1.07it/s] 27%|██▋ | 13/48 [00:12<00:32, 1.07it/s] 29%|██▉ | 14/48 [00:12<00:31, 1.07it/s] 31%|███▏ | 15/48 [00:13<00:30, 1.07it/s] 33%|███▎ | 16/48 [00:14<00:29, 1.07it/s] 35%|███▌ | 17/48 [00:15<00:29, 1.06it/s] 38%|███▊ | 18/48 [00:16<00:28, 1.06it/s] 40%|███▉ | 19/48 [00:17<00:27, 1.06it/s] 42%|████▏ | 20/48 [00:18<00:26, 1.06it/s] 44%|████▍ | 21/48 [00:19<00:25, 1.06it/s] 46%|████▌ | 22/48 [00:20<00:24, 1.05it/s] 48%|████▊ | 23/48 [00:21<00:23, 1.05it/s] 50%|█████ | 24/48 [00:22<00:22, 1.05it/s] 52%|█████▏ | 25/48 [00:23<00:22, 1.04it/s] 54%|█████▍ | 26/48 [00:24<00:21, 1.04it/s] 56%|█████▋ | 27/48 [00:25<00:20, 1.04it/s] 58%|█████▊ | 28/48 [00:26<00:19, 1.04it/s] 60%|██████ | 29/48 [00:27<00:18, 1.04it/s] 62%|██████▎ | 30/48 [00:28<00:17, 1.04it/s] 65%|██████▍ | 31/48 [00:29<00:17, 1.05s/it] 67%|██████▋ | 32/48 [00:30<00:16, 1.02s/it] 69%|██████▉ | 33/48 [00:31<00:15, 1.01s/it] 71%|███████ | 34/48 [00:32<00:13, 1.00it/s] 73%|███████▎ | 35/48 [00:33<00:12, 1.01it/s] 75%|███████▌ | 36/48 [00:34<00:11, 1.01it/s] 77%|███████▋ | 37/48 [00:35<00:10, 1.01it/s] 79%|███████▉ | 38/48 [00:36<00:09, 1.01it/s] 81%|████████▏ | 39/48 [00:37<00:08, 1.01it/s] 83%|████████▎ | 40/48 [00:38<00:07, 1.02it/s] 85%|████████▌ | 41/48 [00:39<00:06, 1.01it/s] 88%|████████▊ | 42/48 [00:40<00:05, 1.01it/s] 90%|████████▉ | 43/48 [00:41<00:04, 1.01it/s] 92%|█████████▏| 44/48 [00:42<00:03, 1.01it/s] 94%|█████████▍| 45/48 [00:43<00:02, 1.01it/s] 96%|█████████▌| 46/48 [00:44<00:01, 1.01it/s] 98%|█████████▊| 47/48 [00:45<00:00, 1.01it/s] 100%|██████████| 48/48 [00:46<00:00, 1.01it/s] 100%|██████████| 48/48 [00:46<00:00, 1.04it/s] Decoding latents in cuda:0... done in 1.84s Move latents to cpu... done in 0.01s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.50it/s] 12%|█▏ | 2/17 [00:01<00:10, 1.47it/s] 18%|█▊ | 3/17 [00:01<00:09, 1.52it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.55it/s] 29%|██▉ | 5/17 [00:03<00:07, 1.58it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.58it/s] 41%|████ | 7/17 [00:04<00:06, 1.58it/s] 47%|████▋ | 8/17 [00:05<00:05, 1.58it/s] 53%|█████▎ | 9/17 [00:05<00:05, 1.59it/s] 59%|█████▉ | 10/17 [00:06<00:04, 1.57it/s] 65%|██████▍ | 11/17 [00:07<00:03, 1.58it/s] 71%|███████ | 12/17 [00:07<00:03, 1.58it/s] 76%|███████▋ | 13/17 [00:08<00:02, 1.59it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.60it/s] 88%|████████▊ | 15/17 [00:09<00:01, 1.60it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.60it/s] 100%|██████████| 17/17 [00:10<00:00, 1.60it/s] 100%|██████████| 17/17 [00:10<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:11, 1.44it/s] 12%|█▏ | 2/17 [00:01<00:10, 1.48it/s] 18%|█▊ | 3/17 [00:01<00:09, 1.54it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.54it/s] 29%|██▉ | 5/17 [00:03<00:07, 1.57it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.58it/s] 41%|████ | 7/17 [00:04<00:06, 1.59it/s] 47%|████▋ | 8/17 [00:05<00:05, 1.59it/s] 53%|█████▎ | 9/17 [00:05<00:04, 1.60it/s] 59%|█████▉ | 10/17 [00:06<00:04, 1.61it/s] 65%|██████▍ | 11/17 [00:07<00:03, 1.57it/s] 71%|███████ | 12/17 [00:07<00:03, 1.54it/s] 76%|███████▋ | 13/17 [00:08<00:02, 1.55it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.57it/s] 88%|████████▊ | 15/17 [00:09<00:01, 1.59it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.59it/s] 100%|██████████| 17/17 [00:10<00:00, 1.57it/s] 100%|██████████| 17/17 [00:10<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.60it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.56it/s] 18%|█▊ | 3/17 [00:01<00:08, 1.58it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.59it/s] 29%|██▉ | 5/17 [00:03<00:07, 1.60it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.59it/s] 41%|████ | 7/17 [00:04<00:06, 1.60it/s] 47%|████▋ | 8/17 [00:05<00:05, 1.60it/s] 53%|█████▎ | 9/17 [00:05<00:04, 1.61it/s] 59%|█████▉ | 10/17 [00:06<00:04, 1.60it/s] 65%|██████▍ | 11/17 [00:06<00:03, 1.60it/s] 71%|███████ | 12/17 [00:07<00:03, 1.60it/s] 76%|███████▋ | 13/17 [00:08<00:02, 1.60it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.59it/s] 88%|████████▊ | 15/17 [00:09<00:01, 1.59it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.59it/s] 100%|██████████| 17/17 [00:10<00:00, 1.61it/s] 100%|██████████| 17/17 [00:10<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading files.. Finished.