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V-Neck Sweaters with Authenticity
authenticity:v1.0
evevalentine2017
evevalentine2017
·
Jan 12
373
Input
prompt
Specify things to see in the output
((Full body)), 1 european girl, standing, handbag, smile, solo, blue eyes, blonde, large breasts, red lips, light grey, brown sweater, V-neck, brown sweater, black flesh_pantyhose, (high heels), diamond necklace, diamond earrings, skin details, (masterpiece, best quality, ultra high res, photorealistic, realistic, real person, photograph), (amazing, finely detail, an extremely delicate and beautiful, sharp focus),photography, neon lights, atmospheric perspective, looking at viewer, <lora:add_detail:1>, <lora:agpt_europeanDollLikeness_v1:0.7>
negative_prompt
Specify things to not see in the output
((Asian-Less2-Neg:2)), ((asian:2)), ((portrait)), ((focus on face)), EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes)
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
1002276191
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++ 2M SDE Karras
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
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
agpt_europeanDollLikeness_v1.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)
Asian-Less-Neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.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/da540399070545ddb146e2b954161dcf/00000-1002276191.webp
https://files.tungsten.run/uploads/3d18685d27fd4916b806f0e8198c86bd/00001-1002276192.webp
https://files.tungsten.run/uploads/4b1038d2b9c3430aa0e2beb9e4f38419/00002-1002276193.webp
https://files.tungsten.run/uploads/e0a9e410be704a6582f4891c2b536f21/00003-1002276194.webp
Finished in 183.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: ((Full body)), 1 european girl, standing, handbag, smile, solo, blue eyes, blonde, large breasts, red lips, light grey, brown sweater, V-neck, brown sweater, black flesh_pantyhose, (high heels), diamond necklace, diamond earrings, skin details, (masterpiece, best quality, ultra high res, photorealistic, realistic, real person, photograph), (amazing, finely detail, an extremely delicate and beautiful, sharp focus),photography, neon lights, atmospheric perspective, looking at viewer, <lora:agpt_europeanDollLikeness_v1:0.7> Full negative prompt: ((Asian-Less2-Neg:2)), ((asian:2)), ((portrait)), ((focus on face)), EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes) 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:12, 1.85s/it] 5%|▌ | 2/40 [00:03<01:03, 1.67s/it] 8%|▊ | 3/40 [00:05<01:03, 1.72s/it] 10%|█ | 4/40 [00:06<01:03, 1.75s/it] 12%|█▎ | 5/40 [00:08<01:01, 1.76s/it] 15%|█▌ | 6/40 [00:10<01:00, 1.77s/it] 18%|█▊ | 7/40 [00:12<00:57, 1.74s/it] 20%|██ | 8/40 [00:13<00:54, 1.72s/it] 22%|██▎ | 9/40 [00:15<00:54, 1.76s/it] 25%|██▌ | 10/40 [00:17<00:52, 1.75s/it] 28%|██▊ | 11/40 [00:19<00:51, 1.78s/it] 30%|███ | 12/40 [00:21<00:49, 1.77s/it] 32%|███▎ | 13/40 [00:22<00:47, 1.77s/it] 35%|███▌ | 14/40 [00:24<00:45, 1.76s/it] 38%|███▊ | 15/40 [00:26<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 [00:31<00:37, 1.72s/it] 48%|████▊ | 19/40 [00:33<00:35, 1.71s/it] 50%|█████ | 20/40 [00:34<00:33, 1.69s/it] 52%|█████▎ | 21/40 [00:36<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 [00:41<00:26, 1.65s/it] 62%|██████▎ | 25/40 [00:42<00:24, 1.61s/it] 65%|██████▌ | 26/40 [00:44<00:23, 1.67s/it] 68%|██████▊ | 27/40 [00:46<00:21, 1.65s/it] 70%|███████ | 28/40 [00:47<00:19, 1.66s/it] 72%|███████▎ | 29/40 [00:49<00:17, 1.59s/it] 75%|███████▌ | 30/40 [00:50<00:15, 1.59s/it] 78%|███████▊ | 31/40 [00:52<00:14, 1.60s/it] 80%|████████ | 32/40 [00:53<00:12, 1.54s/it] 82%|████████▎ | 33/40 [00:55<00:10, 1.55s/it] 85%|████████▌ | 34/40 [00:56<00:08, 1.48s/it] 88%|████████▊ | 35/40 [00:58<00:07, 1.52s/it] 90%|█████████ | 36/40 [00:59<00:05, 1.48s/it] 92%|█████████▎| 37/40 [01:01<00:04, 1.46s/it] 95%|█████████▌| 38/40 [01:02<00:02, 1.42s/it] 98%|█████████▊| 39/40 [01:03<00:01, 1.23s/it] 100%|██████████| 40/40 [01:03<00:00, 1.05s/it] 100%|██████████| 40/40 [01:03<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.5ms preprocess, 7.6ms inference, 24.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.54it/s] 11%|█ | 2/19 [00:01<00:09, 1.85it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.02it/s] 21%|██ | 4/19 [00:01<00:07, 2.14it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.11it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.14it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.16it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.26it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.27it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.26it/s] 58%|█████▊ | 11/19 [00:05<00:03, 2.35it/s] 63%|██████▎ | 12/19 [00:05<00:02, 2.34it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.41it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.35it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.41it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.45it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.87it/s] 100%|██████████| 19/19 [00:07<00:00, 3.31it/s] 100%|██████████| 19/19 [00:07<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.24it/s] 11%|█ | 2/19 [00:00<00:07, 2.20it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.23it/s] 21%|██ | 4/19 [00:01<00:06, 2.29it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.21it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.21it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.19it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.30it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.29it/s] 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58%|█████▊ | 11/19 [00:04<00:03, 2.34it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.32it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.42it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.34it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.41it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.46it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.50it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.84it/s] 100%|██████████| 19/19 [00:07<00:00, 3.28it/s] 100%|██████████| 19/19 [00:07<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 3.1ms preprocess, 8.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.17it/s] 11%|█ | 2/19 [00:00<00:07, 2.18it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.24it/s] 21%|██ | 4/19 [00:01<00:06, 2.29it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.21it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.23it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.22it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.32it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.30it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.29it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.36it/s] 63%|██████▎ | 12/19 [00:05<00:02, 2.33it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.43it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.36it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.38it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.41it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.46it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.82it/s] 100%|██████████| 19/19 [00:07<00:00, 3.25it/s] 100%|██████████| 19/19 [00:07<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.15it/s] 11%|█ | 2/19 [00:00<00:07, 2.14it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.21it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.16it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.18it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.14it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.22it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.22it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.22it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.32it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.32it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.40it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.34it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.41it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.42it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.50it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.84it/s] 100%|██████████| 19/19 [00:07<00:00, 3.27it/s] 100%|██████████| 19/19 [00:07<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.15it/s] 11%|█ | 2/19 [00:00<00:07, 2.17it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.24it/s] 21%|██ | 4/19 [00:01<00:06, 2.27it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.18it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.18it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.17it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.22it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.21it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.19it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.25it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.24it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.32it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.29it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.37it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.38it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.44it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.78it/s] 100%|██████████| 19/19 [00:07<00:00, 3.16it/s] 100%|██████████| 19/19 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.03it/s] 11%|█ | 2/19 [00:00<00:08, 2.07it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.15it/s] 21%|██ | 4/19 [00:01<00:06, 2.21it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.14it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.16it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.17it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.26it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.26it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.22it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.32it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.38it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.33it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.39it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.43it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.49it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.80it/s] 100%|██████████| 19/19 [00:07<00:00, 3.20it/s] 100%|██████████| 19/19 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.0ms Speed: 2.9ms preprocess, 8.0ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.15it/s] 11%|█ | 2/19 [00:00<00:08, 2.11it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.12it/s] 21%|██ | 4/19 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Finished.
prompt
Specify things to see in the output
((Full body)), 1 european girl, standing, handbag, smile, solo, blue eyes, blonde, large breasts, red lips, light grey, brown sweater, V-neck, brown sweater, black flesh_pantyhose, (high heels), diamond necklace, diamond earrings, skin details, (masterpiece, best quality, ultra high res, photorealistic, realistic, real person, photograph), (amazing, finely detail, an extremely delicate and beautiful, sharp focus),photography, neon lights, atmospheric perspective, looking at viewer, <lora:add_detail:1>, <lora:agpt_europeanDollLikeness_v1:0.7>
negative_prompt
Specify things to not see in the output
((Asian-Less2-Neg:2)), ((asian:2)), ((portrait)), ((focus on face)), EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes)
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
1002276191
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++ 2M SDE Karras
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
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
agpt_europeanDollLikeness_v1.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)
Asian-Less-Neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/da540399070545ddb146e2b954161dcf/00000-1002276191.webp
https://files.tungsten.run/uploads/3d18685d27fd4916b806f0e8198c86bd/00001-1002276192.webp
https://files.tungsten.run/uploads/4b1038d2b9c3430aa0e2beb9e4f38419/00002-1002276193.webp
https://files.tungsten.run/uploads/e0a9e410be704a6582f4891c2b536f21/00003-1002276194.webp
Finished in 183.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: ((Full body)), 1 european girl, standing, handbag, smile, solo, blue eyes, blonde, large breasts, red lips, light grey, brown sweater, V-neck, brown sweater, black flesh_pantyhose, (high heels), diamond necklace, diamond earrings, skin details, (masterpiece, best quality, ultra high res, photorealistic, realistic, real person, photograph), (amazing, finely detail, an extremely delicate and beautiful, sharp focus),photography, neon lights, atmospheric perspective, looking at viewer, <lora:agpt_europeanDollLikeness_v1:0.7> Full negative prompt: ((Asian-Less2-Neg:2)), ((asian:2)), ((portrait)), ((focus on face)), EasyNegative, paintings, sketches, ugly, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, manboobs, backlight,(ugly:1.3), (duplicate:1.3), (morbid:1.2), (mutilated:1.2), (tranny:1.3), mutated hands, (poorly drawn hands:1.3), blurry, (bad anatomy:1.2), (bad proportions:1.3), extra limbs, (disfigured:1.3), (more than 2 nipples:1.3), (more than 1 navel:1.3), (missing arms:1.3), (extra legs:1.3), (fused fingers:1.6), (too many fingers:1.6), (unclear eyes:1.3), bad hands, missing fingers, extra digit, (futa:1.1), bad body, double navel, mutad arms, hused arms, (puffy nipples, dark areolae, dark nipples, rei no himo, inverted nipples, long nipples), NG_DeepNegative_V1_75t, pubic hair, fat rolls, obese, bad-picture-chill-75v, (without clothes) 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:12, 1.85s/it] 5%|▌ | 2/40 [00:03<01:03, 1.67s/it] 8%|▊ | 3/40 [00:05<01:03, 1.72s/it] 10%|█ | 4/40 [00:06<01:03, 1.75s/it] 12%|█▎ | 5/40 [00:08<01:01, 1.76s/it] 15%|█▌ | 6/40 [00:10<01:00, 1.77s/it] 18%|█▊ | 7/40 [00:12<00:57, 1.74s/it] 20%|██ | 8/40 [00:13<00:54, 1.72s/it] 22%|██▎ | 9/40 [00:15<00:54, 1.76s/it] 25%|██▌ | 10/40 [00:17<00:52, 1.75s/it] 28%|██▊ | 11/40 [00:19<00:51, 1.78s/it] 30%|███ | 12/40 [00:21<00:49, 1.77s/it] 32%|███▎ | 13/40 [00:22<00:47, 1.77s/it] 35%|███▌ | 14/40 [00:24<00:45, 1.76s/it] 38%|███▊ | 15/40 [00:26<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 [00:31<00:37, 1.72s/it] 48%|████▊ | 19/40 [00:33<00:35, 1.71s/it] 50%|█████ | 20/40 [00:34<00:33, 1.69s/it] 52%|█████▎ | 21/40 [00:36<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 [00:41<00:26, 1.65s/it] 62%|██████▎ | 25/40 [00:42<00:24, 1.61s/it] 65%|██████▌ | 26/40 [00:44<00:23, 1.67s/it] 68%|██████▊ | 27/40 [00:46<00:21, 1.65s/it] 70%|███████ | 28/40 [00:47<00:19, 1.66s/it] 72%|███████▎ | 29/40 [00:49<00:17, 1.59s/it] 75%|███████▌ | 30/40 [00:50<00:15, 1.59s/it] 78%|███████▊ | 31/40 [00:52<00:14, 1.60s/it] 80%|████████ | 32/40 [00:53<00:12, 1.54s/it] 82%|████████▎ | 33/40 [00:55<00:10, 1.55s/it] 85%|████████▌ | 34/40 [00:56<00:08, 1.48s/it] 88%|████████▊ | 35/40 [00:58<00:07, 1.52s/it] 90%|█████████ | 36/40 [00:59<00:05, 1.48s/it] 92%|█████████▎| 37/40 [01:01<00:04, 1.46s/it] 95%|█████████▌| 38/40 [01:02<00:02, 1.42s/it] 98%|█████████▊| 39/40 [01:03<00:01, 1.23s/it] 100%|██████████| 40/40 [01:03<00:00, 1.05s/it] 100%|██████████| 40/40 [01:03<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.5ms preprocess, 7.6ms inference, 24.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.54it/s] 11%|█ | 2/19 [00:01<00:09, 1.85it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.02it/s] 21%|██ | 4/19 [00:01<00:07, 2.14it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.11it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.14it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.16it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.26it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.27it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.26it/s] 58%|█████▊ | 11/19 [00:05<00:03, 2.35it/s] 63%|██████▎ | 12/19 [00:05<00:02, 2.34it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.41it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.35it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.41it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.45it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.87it/s] 100%|██████████| 19/19 [00:07<00:00, 3.31it/s] 100%|██████████| 19/19 [00:07<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.24it/s] 11%|█ | 2/19 [00:00<00:07, 2.20it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.23it/s] 21%|██ | 4/19 [00:01<00:06, 2.29it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.21it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.21it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.19it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.30it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.29it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.24it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.32it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.41it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.35it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.47it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.55it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.90it/s] 100%|██████████| 19/19 [00:07<00:00, 3.33it/s] 100%|██████████| 19/19 [00:07<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.14it/s] 11%|█ | 2/19 [00:00<00:07, 2.15it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.18it/s] 21%|██ | 4/19 [00:01<00:06, 2.27it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.20it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.22it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.21it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.29it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.27it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.26it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.34it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.32it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.42it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.34it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.41it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.46it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.50it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.84it/s] 100%|██████████| 19/19 [00:07<00:00, 3.28it/s] 100%|██████████| 19/19 [00:07<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 3.1ms preprocess, 8.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.17it/s] 11%|█ | 2/19 [00:00<00:07, 2.18it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.24it/s] 21%|██ | 4/19 [00:01<00:06, 2.29it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.21it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.23it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.22it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.32it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.30it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.29it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.36it/s] 63%|██████▎ | 12/19 [00:05<00:02, 2.33it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.43it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.36it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.38it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.41it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.46it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.82it/s] 100%|██████████| 19/19 [00:07<00:00, 3.25it/s] 100%|██████████| 19/19 [00:07<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.15it/s] 11%|█ | 2/19 [00:00<00:07, 2.14it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.21it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.16it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.18it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.14it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.22it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.22it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.22it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.32it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.32it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.40it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.34it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.41it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.42it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.50it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.84it/s] 100%|██████████| 19/19 [00:07<00:00, 3.27it/s] 100%|██████████| 19/19 [00:07<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.15it/s] 11%|█ | 2/19 [00:00<00:07, 2.17it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.24it/s] 21%|██ | 4/19 [00:01<00:06, 2.27it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.18it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.18it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.17it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.22it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.21it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.19it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.25it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.24it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.32it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.29it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.37it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.38it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.44it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.78it/s] 100%|██████████| 19/19 [00:07<00:00, 3.16it/s] 100%|██████████| 19/19 [00:07<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.03it/s] 11%|█ | 2/19 [00:00<00:08, 2.07it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.15it/s] 21%|██ | 4/19 [00:01<00:06, 2.21it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.14it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.16it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.17it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.26it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.26it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.22it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.32it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.38it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.33it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.39it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.43it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.49it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.80it/s] 100%|██████████| 19/19 [00:07<00:00, 3.20it/s] 100%|██████████| 19/19 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.0ms Speed: 2.9ms preprocess, 8.0ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.15it/s] 11%|█ | 2/19 [00:00<00:08, 2.11it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.12it/s] 21%|██ | 4/19 [00:01<00:06, 2.21it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.15it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.18it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.09it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.20it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.21it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.21it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.29it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.28it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.38it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.34it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:07<00:01, 2.46it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.51it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.86it/s] 100%|██████████| 19/19 [00:07<00:00, 3.28it/s] 100%|██████████| 19/19 [00:07<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.19it/s] 11%|█ | 2/19 [00:00<00:08, 2.12it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.18it/s] 21%|██ | 4/19 [00:01<00:06, 2.24it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.13it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.16it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.17it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.28it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.26it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.26it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.34it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.32it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.41it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.34it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.42it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.46it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.53it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.88it/s] 100%|██████████| 19/19 [00:07<00:00, 3.30it/s] 100%|██████████| 19/19 [00:07<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.22it/s] 11%|█ | 2/19 [00:00<00:07, 2.18it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.25it/s] 21%|██ | 4/19 [00:01<00:06, 2.30it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.21it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.23it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.22it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.31it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.27it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.24it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.34it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.31it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.42it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.36it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.41it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.45it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.49it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.83it/s] 100%|██████████| 19/19 [00:07<00:00, 3.25it/s] 100%|██████████| 19/19 [00:07<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.20it/s] 11%|█ | 2/19 [00:00<00:07, 2.13it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.20it/s] 21%|██ | 4/19 [00:01<00:06, 2.25it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.17it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.16it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.15it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.25it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.24it/s] 53%|█████▎ | 10/19 [00:04<00:04, 2.23it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.30it/s] 63%|██████▎ | 12/19 [00:05<00:03, 2.30it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.40it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.33it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.40it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.43it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.51it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.85it/s] 100%|██████████| 19/19 [00:07<00:00, 3.27it/s] 100%|██████████| 19/19 [00:07<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:08, 2.17it/s] 11%|█ | 2/19 [00:00<00:07, 2.13it/s] 16%|█▌ | 3/19 [00:01<00:07, 2.19it/s] 21%|██ | 4/19 [00:01<00:06, 2.23it/s] 26%|██▋ | 5/19 [00:02<00:06, 2.14it/s] 32%|███▏ | 6/19 [00:02<00:06, 2.16it/s] 37%|███▋ | 7/19 [00:03<00:05, 2.17it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.27it/s] 47%|████▋ | 9/19 [00:04<00:04, 2.27it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.26it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.34it/s] 63%|██████▎ | 12/19 [00:05<00:02, 2.33it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.42it/s] 74%|███████▎ | 14/19 [00:06<00:02, 2.35it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.43it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.44it/s] 89%|████████▉ | 17/19 [00:07<00:00, 2.49it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.83it/s] 100%|██████████| 19/19 [00:07<00:00, 3.22it/s] 100%|██████████| 19/19 [00:07<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.