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(Welsh) Girl with Socamerge AniMix XL
socamerge-animix-xl:v1.0
sparks
sparks
·
Feb 19
363
Input
prompt
Specify things to see in the output
(Dystopian:1.5), (3d realistic anime style:1.5) (medium shot, upper body portrait:1.3). A chuckling, (perfect teeth:1.3) bored sensual voluptuous young 21 year old Welsh (goth:1.1) woman with long wavy side shave blonde hair, green eyes, (large breasts:1.3), toned ass, (perfect hands:1.3), She is wearing (gray mesh negligee, choker, high heels:1.1), She is seductively lying facing down, in a futuristic living room with table and window, swamp visible through window. night, cloudy, cinematic lighting, vibrant colors, detailed skin texture, detailed cloth texture, beautiful detailed perfect face, intricate sharp details, ultra high res, <lora:EnvyBetterHiresFixXL01:1>
negative_prompt
Specify things to not see in the output
(watermark:1.5), (long torso:1.3), (tall torso:1.3), (hair accessory:1.1), (hair decoration:1.1), (cleft chin:1.1), (nasolabial crease:1.1), gloss, facial asymmetry, ring, eye bags, dark circles under eyes, bad hands, distorted fingers, unnatural hands, extra fingers, ugly, tiling, blurry, blurred, grainy, signature, draft, worst quality, low quality, leopard, tiger, zebra, cheetah
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1280
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
0.3
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.
1527461424
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 Exponential
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
EnvyBetterHiresFixXL01.safetensors
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/898ad3dd6b314c8e8c23ce3cb768e117/00000-1527461424.webp
https://files.tungsten.run/uploads/8582735b452e440598ea50ddedbb022d/00001-1527461425.webp
https://files.tungsten.run/uploads/c56d04d5dbcb48eaab276426ba36b964/00002-1527461426.webp
Finished in 188.0 seconds
Preparing model sparks/socamerge-animix-xl:v1.0... v1.0: Pulling from sparks/socamerge-animix-xl 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists 49aa9c9ba08f: Already exists 8915fc22d7d8: Already exists 6ebc9a3b0b34: Already exists 4f4fb700ef54: Already exists 84b14763edf4: Already exists 3103b9eb59c7: Pull complete 58429086493d: Pull complete 5c486719a0b1: Pull complete Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (Dystopian:1.5), (3d realistic anime style:1.5) (medium shot, upper body portrait:1.3). A chuckling, (perfect teeth:1.3) bored sensual voluptuous young 21 year old Welsh (goth:1.1) woman with long wavy side shave blonde hair, green eyes, (large breasts:1.3), toned ass, (perfect hands:1.3), She is wearing (gray mesh negligee, choker, high heels:1.1), She is seductively lying facing down, in a futuristic living room with table and window, swamp visible through window. night, cloudy, cinematic lighting, vibrant colors, detailed skin texture, detailed cloth texture, beautiful detailed perfect face, intricate sharp details, ultra high res, <lora:EnvyBetterHiresFixXL01:1>, <lora:add-detail-xl:1.0> Full negative prompt: (watermark:1.5), (long torso:1.3), (tall torso:1.3), (hair accessory:1.1), (hair decoration:1.1), (cleft chin:1.1), (nasolabial crease:1.1), gloss, facial asymmetry, ring, eye bags, dark circles under eyes, bad hands, distorted fingers, unnatural hands, extra fingers, ugly, tiling, blurry, blurred, grainy, signature, draft, worst quality, low quality, leopard, tiger, zebra, cheetah 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:04<02:37, 4.03s/it] 5%|▌ | 2/40 [00:07<02:20, 3.69s/it] 8%|▊ | 3/40 [00:11<02:17, 3.71s/it] 10%|█ | 4/40 [00:14<02:10, 3.62s/it] 12%|█▎ | 5/40 [00:18<02:06, 3.60s/it] 15%|█▌ | 6/40 [00:21<02:03, 3.64s/it] 18%|█▊ | 7/40 [00:25<01:58, 3.60s/it] 20%|██ | 8/40 [00:29<01:55, 3.62s/it] 22%|██▎ | 9/40 [00:32<01:51, 3.59s/it] 25%|██▌ | 10/40 [00:36<01:45, 3.52s/it] 28%|██▊ | 11/40 [00:39<01:41, 3.50s/it] 30%|███ | 12/40 [00:42<01:37, 3.49s/it] 32%|███▎ | 13/40 [00:46<01:33, 3.46s/it] 35%|███▌ | 14/40 [00:49<01:30, 3.46s/it] 38%|███▊ | 15/40 [00:53<01:25, 3.42s/it] 40%|████ | 16/40 [00:56<01:21, 3.38s/it] 42%|████▎ | 17/40 [00:59<01:17, 3.36s/it] 45%|████▌ | 18/40 [01:03<01:14, 3.37s/it] 48%|████▊ | 19/40 [01:06<01:09, 3.29s/it] 50%|█████ | 20/40 [01:09<01:05, 3.26s/it] 52%|█████▎ | 21/40 [01:12<01:03, 3.34s/it] 55%|█████▌ | 22/40 [01:16<01:00, 3.37s/it] 57%|█████▊ | 23/40 [01:19<00:55, 3.28s/it] 60%|██████ | 24/40 [01:22<00:51, 3.20s/it] 62%|██████▎ | 25/40 [01:25<00:48, 3.23s/it] 65%|██████▌ | 26/40 [01:29<00:45, 3.24s/it] 68%|██████▊ | 27/40 [01:32<00:41, 3.22s/it] 70%|███████ | 28/40 [01:35<00:39, 3.26s/it] 72%|███████▎ | 29/40 [01:38<00:35, 3.21s/it] 75%|███████▌ | 30/40 [01:42<00:32, 3.28s/it] 78%|███████▊ | 31/40 [01:45<00:28, 3.21s/it] 80%|████████ | 32/40 [01:48<00:25, 3.14s/it] 82%|████████▎ | 33/40 [01:51<00:22, 3.15s/it] 85%|████████▌ | 34/40 [01:54<00:18, 3.03s/it] 88%|████████▊ | 35/40 [01:57<00:15, 3.00s/it] 90%|█████████ | 36/40 [02:00<00:12, 3.12s/it] 92%|█████████▎| 37/40 [02:03<00:09, 3.06s/it] 95%|█████████▌| 38/40 [02:05<00:05, 2.91s/it] 98%|█████████▊| 39/40 [02:07<00:02, 2.59s/it] 100%|██████████| 40/40 [02:09<00:00, 2.32s/it] 100%|██████████| 40/40 [02:09<00:00, 3.24s/it] Decoding latents in cuda:0... done in 3.09s Move latents to cpu... done in 0.04s 0: 640x512 1 face, 161.2ms Speed: 2.4ms preprocess, 161.2ms inference, 15.1ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.05s/it] 15%|█▌ | 2/13 [00:02<00:10, 1.00it/s] 23%|██▎ | 3/13 [00:03<00:10, 1.02s/it] 31%|███ | 4/13 [00:04<00:08, 1.01it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.03it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.02it/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, 1.06it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.09it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.14it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.29it/s] 100%|██████████| 13/13 [00:11<00:00, 1.45it/s] 100%|██████████| 13/13 [00:11<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.02s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.0ms Speed: 2.1ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.05s/it] 15%|█▌ | 2/13 [00:02<00:11, 1.01s/it] 23%|██▎ | 3/13 [00:03<00:10, 1.05s/it] 31%|███ | 4/13 [00:04<00:09, 1.01s/it] 38%|███▊ | 5/13 [00:05<00:07, 1.02it/s] 46%|████▌ | 6/13 [00:06<00:06, 1.01it/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, 1.05it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.07it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.13it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.28it/s] 100%|██████████| 13/13 [00:11<00:00, 1.44it/s] 100%|██████████| 13/13 [00:11<00:00, 1.13it/s] Decoding latents in cuda:0... done in 1.02s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 7.8ms Speed: 2.2ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.06s/it] 15%|█▌ | 2/13 [00:02<00:10, 1.00it/s] 23%|██▎ | 3/13 [00:03<00:10, 1.03s/it] 31%|███ | 4/13 [00:04<00:08, 1.01it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.03it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.02it/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, 1.05it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.07it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.13it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.28it/s] 100%|██████████| 13/13 [00:11<00:00, 1.44it/s] 100%|██████████| 13/13 [00:11<00:00, 1.14it/s] Decoding latents in cuda:0... done in 1.02s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(Dystopian:1.5), (3d realistic anime style:1.5) (medium shot, upper body portrait:1.3). A chuckling, (perfect teeth:1.3) bored sensual voluptuous young 21 year old Welsh (goth:1.1) woman with long wavy side shave blonde hair, green eyes, (large breasts:1.3), toned ass, (perfect hands:1.3), She is wearing (gray mesh negligee, choker, high heels:1.1), She is seductively lying facing down, in a futuristic living room with table and window, swamp visible through window. night, cloudy, cinematic lighting, vibrant colors, detailed skin texture, detailed cloth texture, beautiful detailed perfect face, intricate sharp details, ultra high res, <lora:EnvyBetterHiresFixXL01:1>
negative_prompt
Specify things to not see in the output
(watermark:1.5), (long torso:1.3), (tall torso:1.3), (hair accessory:1.1), (hair decoration:1.1), (cleft chin:1.1), (nasolabial crease:1.1), gloss, facial asymmetry, ring, eye bags, dark circles under eyes, bad hands, distorted fingers, unnatural hands, extra fingers, ugly, tiling, blurry, blurred, grainy, signature, draft, worst quality, low quality, leopard, tiger, zebra, cheetah
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1280
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
0.3
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.
1527461424
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 Exponential
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
EnvyBetterHiresFixXL01.safetensors
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/898ad3dd6b314c8e8c23ce3cb768e117/00000-1527461424.webp
https://files.tungsten.run/uploads/8582735b452e440598ea50ddedbb022d/00001-1527461425.webp
https://files.tungsten.run/uploads/c56d04d5dbcb48eaab276426ba36b964/00002-1527461426.webp
Finished in 188.0 seconds
Preparing model sparks/socamerge-animix-xl:v1.0... v1.0: Pulling from sparks/socamerge-animix-xl 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists 49aa9c9ba08f: Already exists 8915fc22d7d8: Already exists 6ebc9a3b0b34: Already exists 4f4fb700ef54: Already exists 84b14763edf4: Already exists 3103b9eb59c7: Pull complete 58429086493d: Pull complete 5c486719a0b1: Pull complete Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (Dystopian:1.5), (3d realistic anime style:1.5) (medium shot, upper body portrait:1.3). A chuckling, (perfect teeth:1.3) bored sensual voluptuous young 21 year old Welsh (goth:1.1) woman with long wavy side shave blonde hair, green eyes, (large breasts:1.3), toned ass, (perfect hands:1.3), She is wearing (gray mesh negligee, choker, high heels:1.1), She is seductively lying facing down, in a futuristic living room with table and window, swamp visible through window. night, cloudy, cinematic lighting, vibrant colors, detailed skin texture, detailed cloth texture, beautiful detailed perfect face, intricate sharp details, ultra high res, <lora:EnvyBetterHiresFixXL01:1>, <lora:add-detail-xl:1.0> Full negative prompt: (watermark:1.5), (long torso:1.3), (tall torso:1.3), (hair accessory:1.1), (hair decoration:1.1), (cleft chin:1.1), (nasolabial crease:1.1), gloss, facial asymmetry, ring, eye bags, dark circles under eyes, bad hands, distorted fingers, unnatural hands, extra fingers, ugly, tiling, blurry, blurred, grainy, signature, draft, worst quality, low quality, leopard, tiger, zebra, cheetah 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:04<02:37, 4.03s/it] 5%|▌ | 2/40 [00:07<02:20, 3.69s/it] 8%|▊ | 3/40 [00:11<02:17, 3.71s/it] 10%|█ | 4/40 [00:14<02:10, 3.62s/it] 12%|█▎ | 5/40 [00:18<02:06, 3.60s/it] 15%|█▌ | 6/40 [00:21<02:03, 3.64s/it] 18%|█▊ | 7/40 [00:25<01:58, 3.60s/it] 20%|██ | 8/40 [00:29<01:55, 3.62s/it] 22%|██▎ | 9/40 [00:32<01:51, 3.59s/it] 25%|██▌ | 10/40 [00:36<01:45, 3.52s/it] 28%|██▊ | 11/40 [00:39<01:41, 3.50s/it] 30%|███ | 12/40 [00:42<01:37, 3.49s/it] 32%|███▎ | 13/40 [00:46<01:33, 3.46s/it] 35%|███▌ | 14/40 [00:49<01:30, 3.46s/it] 38%|███▊ | 15/40 [00:53<01:25, 3.42s/it] 40%|████ | 16/40 [00:56<01:21, 3.38s/it] 42%|████▎ | 17/40 [00:59<01:17, 3.36s/it] 45%|████▌ | 18/40 [01:03<01:14, 3.37s/it] 48%|████▊ | 19/40 [01:06<01:09, 3.29s/it] 50%|█████ | 20/40 [01:09<01:05, 3.26s/it] 52%|█████▎ | 21/40 [01:12<01:03, 3.34s/it] 55%|█████▌ | 22/40 [01:16<01:00, 3.37s/it] 57%|█████▊ | 23/40 [01:19<00:55, 3.28s/it] 60%|██████ | 24/40 [01:22<00:51, 3.20s/it] 62%|██████▎ | 25/40 [01:25<00:48, 3.23s/it] 65%|██████▌ | 26/40 [01:29<00:45, 3.24s/it] 68%|██████▊ | 27/40 [01:32<00:41, 3.22s/it] 70%|███████ | 28/40 [01:35<00:39, 3.26s/it] 72%|███████▎ | 29/40 [01:38<00:35, 3.21s/it] 75%|███████▌ | 30/40 [01:42<00:32, 3.28s/it] 78%|███████▊ | 31/40 [01:45<00:28, 3.21s/it] 80%|████████ | 32/40 [01:48<00:25, 3.14s/it] 82%|████████▎ | 33/40 [01:51<00:22, 3.15s/it] 85%|████████▌ | 34/40 [01:54<00:18, 3.03s/it] 88%|████████▊ | 35/40 [01:57<00:15, 3.00s/it] 90%|█████████ | 36/40 [02:00<00:12, 3.12s/it] 92%|█████████▎| 37/40 [02:03<00:09, 3.06s/it] 95%|█████████▌| 38/40 [02:05<00:05, 2.91s/it] 98%|█████████▊| 39/40 [02:07<00:02, 2.59s/it] 100%|██████████| 40/40 [02:09<00:00, 2.32s/it] 100%|██████████| 40/40 [02:09<00:00, 3.24s/it] Decoding latents in cuda:0... done in 3.09s Move latents to cpu... done in 0.04s 0: 640x512 1 face, 161.2ms Speed: 2.4ms preprocess, 161.2ms inference, 15.1ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.05s/it] 15%|█▌ | 2/13 [00:02<00:10, 1.00it/s] 23%|██▎ | 3/13 [00:03<00:10, 1.02s/it] 31%|███ | 4/13 [00:04<00:08, 1.01it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.03it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.02it/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, 1.06it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.09it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.14it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.29it/s] 100%|██████████| 13/13 [00:11<00:00, 1.45it/s] 100%|██████████| 13/13 [00:11<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.02s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.0ms Speed: 2.1ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.05s/it] 15%|█▌ | 2/13 [00:02<00:11, 1.01s/it] 23%|██▎ | 3/13 [00:03<00:10, 1.05s/it] 31%|███ | 4/13 [00:04<00:09, 1.01s/it] 38%|███▊ | 5/13 [00:05<00:07, 1.02it/s] 46%|████▌ | 6/13 [00:06<00:06, 1.01it/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, 1.05it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.07it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.13it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.28it/s] 100%|██████████| 13/13 [00:11<00:00, 1.44it/s] 100%|██████████| 13/13 [00:11<00:00, 1.13it/s] Decoding latents in cuda:0... done in 1.02s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 7.8ms Speed: 2.2ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:01<00:12, 1.06s/it] 15%|█▌ | 2/13 [00:02<00:10, 1.00it/s] 23%|██▎ | 3/13 [00:03<00:10, 1.03s/it] 31%|███ | 4/13 [00:04<00:08, 1.01it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.03it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.02it/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, 1.05it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.07it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.13it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.28it/s] 100%|██████████| 13/13 [00:11<00:00, 1.44it/s] 100%|██████████| 13/13 [00:11<00:00, 1.14it/s] Decoding latents in cuda:0... done in 1.02s Move latents to cpu... done in 0.0s Uploading outputs... Finished.