Swedish Girl with SDVN6-RealXL
Input
prompt
Specify things to see in the output
a photo of a young swedish woman standing. She is beautiful, tall, feminine, wide hips, large breasts, sensual, sexy. She is wearing a simple silver necklace, simple silver earings. She has a heart shaped face, defined cheekbones, rosy cheeks, full lips, gray eyes, button nose, (realistic textured skin: 1.5), natural skin. She has long hair, detailed hair, (messy bun: 2), trendy hair. She is a fashion model, magazine, cinematic. She is wearing tight clothes, yoga clothes, sexy clothes, (bright clothes: 2), (detailed clothes:1.5), (textured clothes: 1.5), The photo is shot with a digital camera, DSLR camera, with a 50 mm lens, high detail, realistic textures, high quality, The lighting is natural, lighting from the side, dappled lighting, warm lighting, warm color palette, accurate hands, correct hands, detailed hands, ((full body shot:2))
negative_prompt
Specify things to not see in the output
anime, cartoon, blender, blended, blurry, ugly, masculine, man, male, deformed, 3D, asian, black, painting, drawing, cartoon, nude, distorted, bad teeth, bad eyes, blurry eyes, deformed eyes, deformed body, deformed hand, extra fingers, sketch, monotone, photoshop, doll, fake, filter, digital art, plastic, crown, tiara, muted, bad hands, bad skin, smooth skin, low quality, bad quality, unrealistic, abstract, silver clothes, petite, thin, small breasts, bad hands, chubby, (gray clothes: 2), neutral color clothes, shiny skin
num_outputs
Number of output images
3
width
Output image width
800
height
Output image height
1200
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
1485716722
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 Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/bb9bcb0ce00941d789f24a78178ca273/00000-1485716722.webp
https://files.tungsten.run/uploads/edfd1275263b4459a2150f1bdd8b3809/00001-1485716723.webp
https://files.tungsten.run/uploads/39dcd049bdd34322859bf8fc50efd27d/00002-1485716724.webp
Finished in 111.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a photo of a young swedish woman standing. She is beautiful, tall, feminine, wide hips, large breasts, sensual, sexy. She is wearing a simple silver necklace, simple silver earings. She has a heart shaped face, defined cheekbones, rosy cheeks, full lips, gray eyes, button nose, (realistic textured skin: 1.5), natural skin. She has long hair, detailed hair, (messy bun: 2), trendy hair. She is a fashion model, magazine, cinematic. She is wearing tight clothes, yoga clothes, sexy clothes, (bright clothes: 2), (detailed clothes:1.5), (textured clothes: 1.5), The photo is shot with a digital camera, DSLR camera, with a 50 mm lens, high detail, realistic textures, high quality, The lighting is natural, lighting from the side, dappled lighting, warm lighting, warm color palette, accurate hands, correct hands, detailed hands, ((full body shot:2)), <lora:add-detail-xl:1.5> Full negative prompt: anime, cartoon, blender, blended, blurry, ugly, masculine, man, male, deformed, 3D, asian, black, painting, drawing, cartoon, nude, distorted, bad teeth, bad eyes, blurry eyes, deformed eyes, deformed body, deformed hand, extra fingers, sketch, monotone, photoshop, doll, fake, filter, digital art, plastic, crown, tiara, muted, bad hands, bad skin, smooth skin, low quality, bad quality, unrealistic, abstract, silver clothes, petite, thin, small breasts, bad hands, chubby, (gray clothes: 2), neutral color clothes, shiny skin 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<02:04, 2.54s/it] 4%|▍ | 2/50 [00:03<01:22, 1.71s/it] 6%|▌ | 3/50 [00:04<01:08, 1.45s/it] 8%|▊ | 4/50 [00:05<01:01, 1.33s/it] 10%|█ | 5/50 [00:07<00:56, 1.26s/it] 12%|█▏ | 6/50 [00:08<00:53, 1.22s/it] 14%|█▍ | 7/50 [00:09<00:51, 1.19s/it] 16%|█▌ | 8/50 [00:10<00:49, 1.17s/it] 18%|█▊ | 9/50 [00:11<00:47, 1.16s/it] 20%|██ | 10/50 [00:12<00:46, 1.15s/it] 22%|██▏ | 11/50 [00:13<00:44, 1.15s/it] 24%|██▍ | 12/50 [00:15<00:43, 1.15s/it] 26%|██▌ | 13/50 [00:16<00:42, 1.14s/it] 28%|██▊ | 14/50 [00:17<00:41, 1.14s/it] 30%|███ | 15/50 [00:18<00:39, 1.14s/it] 32%|███▏ | 16/50 [00:19<00:38, 1.14s/it] 34%|███▍ | 17/50 [00:20<00:37, 1.14s/it] 36%|███▌ | 18/50 [00:21<00:36, 1.14s/it] 38%|███▊ | 19/50 [00:23<00:35, 1.14s/it] 40%|████ | 20/50 [00:24<00:34, 1.14s/it] 42%|████▏ | 21/50 [00:25<00:33, 1.14s/it] 44%|████▍ | 22/50 [00:26<00:31, 1.14s/it] 46%|████▌ | 23/50 [00:27<00:30, 1.14s/it] 48%|████▊ | 24/50 [00:28<00:29, 1.15s/it] 50%|█████ | 25/50 [00:29<00:28, 1.15s/it] 52%|█████▏ | 26/50 [00:31<00:27, 1.15s/it] 54%|█████▍ | 27/50 [00:32<00:26, 1.15s/it] 56%|█████▌ | 28/50 [00:33<00:25, 1.15s/it] 58%|█████▊ | 29/50 [00:34<00:24, 1.15s/it] 60%|██████ | 30/50 [00:35<00:22, 1.15s/it] 62%|██████▏ | 31/50 [00:36<00:21, 1.15s/it] 64%|██████▍ | 32/50 [00:37<00:20, 1.16s/it] 66%|██████▌ | 33/50 [00:39<00:19, 1.15s/it] 68%|██████▊ | 34/50 [00:40<00:18, 1.15s/it] 70%|███████ | 35/50 [00:41<00:17, 1.15s/it] 72%|███████▏ | 36/50 [00:42<00:16, 1.15s/it] 74%|███████▍ | 37/50 [00:43<00:14, 1.15s/it] 76%|███████▌ | 38/50 [00:44<00:13, 1.15s/it] 78%|███████▊ | 39/50 [00:46<00:12, 1.15s/it] 80%|████████ | 40/50 [00:47<00:11, 1.15s/it] 82%|████████▏ | 41/50 [00:48<00:10, 1.16s/it] 84%|████████▍ | 42/50 [00:49<00:09, 1.16s/it] 86%|████████▌ | 43/50 [00:50<00:08, 1.16s/it] 88%|████████▊ | 44/50 [00:51<00:06, 1.16s/it] 90%|█████████ | 45/50 [00:52<00:05, 1.16s/it] 92%|█████████▏| 46/50 [00:54<00:04, 1.16s/it] 94%|█████████▍| 47/50 [00:55<00:03, 1.16s/it] 96%|█████████▌| 48/50 [00:56<00:02, 1.16s/it] 98%|█████████▊| 49/50 [00:57<00:01, 1.16s/it] 100%|██████████| 50/50 [00:58<00:00, 1.16s/it] 100%|██████████| 50/50 [00:58<00:00, 1.18s/it] Decoding latents in cuda:0... done in 2.18s Move latents to cpu... done in 0.03s 0: 640x448 1 face, 161.0ms Speed: 2.7ms preprocess, 161.0ms inference, 24.6ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:11, 1.31it/s] 12%|█▎ | 2/16 [00:01<00:09, 1.45it/s] 19%|█▉ | 3/16 [00:02<00:08, 1.52it/s] 25%|██▌ | 4/16 [00:02<00:07, 1.53it/s] 31%|███▏ | 5/16 [00:03<00:07, 1.55it/s] 38%|███▊ | 6/16 [00:03<00:06, 1.53it/s] 44%|████▍ | 7/16 [00:04<00:05, 1.52it/s] 50%|█████ | 8/16 [00:05<00:05, 1.53it/s] 56%|█████▋ | 9/16 [00:05<00:04, 1.54it/s] 62%|██████▎ | 10/16 [00:06<00:03, 1.53it/s] 69%|██████▉ | 11/16 [00:07<00:03, 1.56it/s] 75%|███████▌ | 12/16 [00:07<00:02, 1.57it/s] 81%|████████▏ | 13/16 [00:08<00:01, 1.59it/s] 88%|████████▊ | 14/16 [00:09<00:01, 1.58it/s] 94%|█████████▍| 15/16 [00:09<00:00, 1.57it/s] 100%|██████████| 16/16 [00:10<00:00, 1.56it/s] 100%|██████████| 16/16 [00:10<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.71s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 107.1ms Speed: 2.6ms preprocess, 107.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x448 1 face, 8.3ms Speed: 2.5ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:10, 1.50it/s] 12%|█▎ | 2/16 [00:01<00:09, 1.52it/s] 19%|█▉ | 3/16 [00:01<00:08, 1.51it/s] 25%|██▌ | 4/16 [00:02<00:07, 1.51it/s] 31%|███▏ | 5/16 [00:03<00:07, 1.55it/s] 38%|███▊ | 6/16 [00:03<00:06, 1.55it/s] 44%|████▍ | 7/16 [00:04<00:05, 1.57it/s] 50%|█████ | 8/16 [00:05<00:05, 1.56it/s] 56%|█████▋ | 9/16 [00:05<00:04, 1.55it/s] 62%|██████▎ | 10/16 [00:06<00:03, 1.56it/s] 69%|██████▉ | 11/16 [00:07<00:03, 1.54it/s] 75%|███████▌ | 12/16 [00:07<00:02, 1.53it/s] 81%|████████▏ | 13/16 [00:08<00:01, 1.54it/s] 88%|████████▊ | 14/16 [00:09<00:01, 1.53it/s] 94%|█████████▍| 15/16 [00:09<00:00, 1.53it/s] 100%|██████████| 16/16 [00:10<00:00, 1.53it/s] 100%|██████████| 16/16 [00:10<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.71s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x448 1 face, 39.3ms Speed: 2.3ms preprocess, 39.3ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:09, 1.60it/s] 12%|█▎ | 2/16 [00:01<00:08, 1.59it/s] 19%|█▉ | 3/16 [00:01<00:08, 1.59it/s] 25%|██▌ | 4/16 [00:02<00:07, 1.57it/s] 31%|███▏ | 5/16 [00:03<00:07, 1.56it/s] 38%|███▊ | 6/16 [00:03<00:06, 1.54it/s] 44%|████▍ | 7/16 [00:04<00:06, 1.44it/s] 50%|█████ | 8/16 [00:05<00:05, 1.43it/s] 56%|█████▋ | 9/16 [00:06<00:05, 1.33it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.25it/s] 69%|██████▉ | 11/16 [00:07<00:03, 1.34it/s] 75%|███████▌ | 12/16 [00:08<00:02, 1.40it/s] 81%|████████▏ | 13/16 [00:08<00:02, 1.46it/s] 88%|████████▊ | 14/16 [00:09<00:01, 1.50it/s] 94%|█████████▍| 15/16 [00:10<00:00, 1.53it/s] 100%|██████████| 16/16 [00:10<00:00, 1.56it/s] 100%|██████████| 16/16 [00:10<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.71s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 8.0ms Speed: 2.5ms preprocess, 8.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
a photo of a young swedish woman standing. She is beautiful, tall, feminine, wide hips, large breasts, sensual, sexy. She is wearing a simple silver necklace, simple silver earings. She has a heart shaped face, defined cheekbones, rosy cheeks, full lips, gray eyes, button nose, (realistic textured skin: 1.5), natural skin. She has long hair, detailed hair, (messy bun: 2), trendy hair. She is a fashion model, magazine, cinematic. She is wearing tight clothes, yoga clothes, sexy clothes, (bright clothes: 2), (detailed clothes:1.5), (textured clothes: 1.5), The photo is shot with a digital camera, DSLR camera, with a 50 mm lens, high detail, realistic textures, high quality, The lighting is natural, lighting from the side, dappled lighting, warm lighting, warm color palette, accurate hands, correct hands, detailed hands, ((full body shot:2))
negative_prompt
Specify things to not see in the output
anime, cartoon, blender, blended, blurry, ugly, masculine, man, male, deformed, 3D, asian, black, painting, drawing, cartoon, nude, distorted, bad teeth, bad eyes, blurry eyes, deformed eyes, deformed body, deformed hand, extra fingers, sketch, monotone, photoshop, doll, fake, filter, digital art, plastic, crown, tiara, muted, bad hands, bad skin, smooth skin, low quality, bad quality, unrealistic, abstract, silver clothes, petite, thin, small breasts, bad hands, chubby, (gray clothes: 2), neutral color clothes, shiny skin
num_outputs
Number of output images
3
width
Output image width
800
height
Output image height
1200
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
1485716722
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 Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/bb9bcb0ce00941d789f24a78178ca273/00000-1485716722.webp
https://files.tungsten.run/uploads/edfd1275263b4459a2150f1bdd8b3809/00001-1485716723.webp
https://files.tungsten.run/uploads/39dcd049bdd34322859bf8fc50efd27d/00002-1485716724.webp
Finished in 111.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a photo of a young swedish woman standing. She is beautiful, tall, feminine, wide hips, large breasts, sensual, sexy. She is wearing a simple silver necklace, simple silver earings. She has a heart shaped face, defined cheekbones, rosy cheeks, full lips, gray eyes, button nose, (realistic textured skin: 1.5), natural skin. She has long hair, detailed hair, (messy bun: 2), trendy hair. She is a fashion model, magazine, cinematic. She is wearing tight clothes, yoga clothes, sexy clothes, (bright clothes: 2), (detailed clothes:1.5), (textured clothes: 1.5), The photo is shot with a digital camera, DSLR camera, with a 50 mm lens, high detail, realistic textures, high quality, The lighting is natural, lighting from the side, dappled lighting, warm lighting, warm color palette, accurate hands, correct hands, detailed hands, ((full body shot:2)), <lora:add-detail-xl:1.5> Full negative prompt: anime, cartoon, blender, blended, blurry, ugly, masculine, man, male, deformed, 3D, asian, black, painting, drawing, cartoon, nude, distorted, bad teeth, bad eyes, blurry eyes, deformed eyes, deformed body, deformed hand, extra fingers, sketch, monotone, photoshop, doll, fake, filter, digital art, plastic, crown, tiara, muted, bad hands, bad skin, smooth skin, low quality, bad quality, unrealistic, abstract, silver clothes, petite, thin, small breasts, bad hands, chubby, (gray clothes: 2), neutral color clothes, shiny skin 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<02:04, 2.54s/it] 4%|▍ | 2/50 [00:03<01:22, 1.71s/it] 6%|▌ | 3/50 [00:04<01:08, 1.45s/it] 8%|▊ | 4/50 [00:05<01:01, 1.33s/it] 10%|█ | 5/50 [00:07<00:56, 1.26s/it] 12%|█▏ | 6/50 [00:08<00:53, 1.22s/it] 14%|█▍ | 7/50 [00:09<00:51, 1.19s/it] 16%|█▌ | 8/50 [00:10<00:49, 1.17s/it] 18%|█▊ | 9/50 [00:11<00:47, 1.16s/it] 20%|██ | 10/50 [00:12<00:46, 1.15s/it] 22%|██▏ | 11/50 [00:13<00:44, 1.15s/it] 24%|██▍ | 12/50 [00:15<00:43, 1.15s/it] 26%|██▌ | 13/50 [00:16<00:42, 1.14s/it] 28%|██▊ | 14/50 [00:17<00:41, 1.14s/it] 30%|███ | 15/50 [00:18<00:39, 1.14s/it] 32%|███▏ | 16/50 [00:19<00:38, 1.14s/it] 34%|███▍ | 17/50 [00:20<00:37, 1.14s/it] 36%|███▌ | 18/50 [00:21<00:36, 1.14s/it] 38%|███▊ | 19/50 [00:23<00:35, 1.14s/it] 40%|████ | 20/50 [00:24<00:34, 1.14s/it] 42%|████▏ | 21/50 [00:25<00:33, 1.14s/it] 44%|████▍ | 22/50 [00:26<00:31, 1.14s/it] 46%|████▌ | 23/50 [00:27<00:30, 1.14s/it] 48%|████▊ | 24/50 [00:28<00:29, 1.15s/it] 50%|█████ | 25/50 [00:29<00:28, 1.15s/it] 52%|█████▏ | 26/50 [00:31<00:27, 1.15s/it] 54%|█████▍ | 27/50 [00:32<00:26, 1.15s/it] 56%|█████▌ | 28/50 [00:33<00:25, 1.15s/it] 58%|█████▊ | 29/50 [00:34<00:24, 1.15s/it] 60%|██████ | 30/50 [00:35<00:22, 1.15s/it] 62%|██████▏ | 31/50 [00:36<00:21, 1.15s/it] 64%|██████▍ | 32/50 [00:37<00:20, 1.16s/it] 66%|██████▌ | 33/50 [00:39<00:19, 1.15s/it] 68%|██████▊ | 34/50 [00:40<00:18, 1.15s/it] 70%|███████ | 35/50 [00:41<00:17, 1.15s/it] 72%|███████▏ | 36/50 [00:42<00:16, 1.15s/it] 74%|███████▍ | 37/50 [00:43<00:14, 1.15s/it] 76%|███████▌ | 38/50 [00:44<00:13, 1.15s/it] 78%|███████▊ | 39/50 [00:46<00:12, 1.15s/it] 80%|████████ | 40/50 [00:47<00:11, 1.15s/it] 82%|████████▏ | 41/50 [00:48<00:10, 1.16s/it] 84%|████████▍ | 42/50 [00:49<00:09, 1.16s/it] 86%|████████▌ | 43/50 [00:50<00:08, 1.16s/it] 88%|████████▊ | 44/50 [00:51<00:06, 1.16s/it] 90%|█████████ | 45/50 [00:52<00:05, 1.16s/it] 92%|█████████▏| 46/50 [00:54<00:04, 1.16s/it] 94%|█████████▍| 47/50 [00:55<00:03, 1.16s/it] 96%|█████████▌| 48/50 [00:56<00:02, 1.16s/it] 98%|█████████▊| 49/50 [00:57<00:01, 1.16s/it] 100%|██████████| 50/50 [00:58<00:00, 1.16s/it] 100%|██████████| 50/50 [00:58<00:00, 1.18s/it] Decoding latents in cuda:0... done in 2.18s Move latents to cpu... done in 0.03s 0: 640x448 1 face, 161.0ms Speed: 2.7ms preprocess, 161.0ms inference, 24.6ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:11, 1.31it/s] 12%|█▎ | 2/16 [00:01<00:09, 1.45it/s] 19%|█▉ | 3/16 [00:02<00:08, 1.52it/s] 25%|██▌ | 4/16 [00:02<00:07, 1.53it/s] 31%|███▏ | 5/16 [00:03<00:07, 1.55it/s] 38%|███▊ | 6/16 [00:03<00:06, 1.53it/s] 44%|████▍ | 7/16 [00:04<00:05, 1.52it/s] 50%|█████ | 8/16 [00:05<00:05, 1.53it/s] 56%|█████▋ | 9/16 [00:05<00:04, 1.54it/s] 62%|██████▎ | 10/16 [00:06<00:03, 1.53it/s] 69%|██████▉ | 11/16 [00:07<00:03, 1.56it/s] 75%|███████▌ | 12/16 [00:07<00:02, 1.57it/s] 81%|████████▏ | 13/16 [00:08<00:01, 1.59it/s] 88%|████████▊ | 14/16 [00:09<00:01, 1.58it/s] 94%|█████████▍| 15/16 [00:09<00:00, 1.57it/s] 100%|██████████| 16/16 [00:10<00:00, 1.56it/s] 100%|██████████| 16/16 [00:10<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.71s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 107.1ms Speed: 2.6ms preprocess, 107.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x448 1 face, 8.3ms Speed: 2.5ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:10, 1.50it/s] 12%|█▎ | 2/16 [00:01<00:09, 1.52it/s] 19%|█▉ | 3/16 [00:01<00:08, 1.51it/s] 25%|██▌ | 4/16 [00:02<00:07, 1.51it/s] 31%|███▏ | 5/16 [00:03<00:07, 1.55it/s] 38%|███▊ | 6/16 [00:03<00:06, 1.55it/s] 44%|████▍ | 7/16 [00:04<00:05, 1.57it/s] 50%|█████ | 8/16 [00:05<00:05, 1.56it/s] 56%|█████▋ | 9/16 [00:05<00:04, 1.55it/s] 62%|██████▎ | 10/16 [00:06<00:03, 1.56it/s] 69%|██████▉ | 11/16 [00:07<00:03, 1.54it/s] 75%|███████▌ | 12/16 [00:07<00:02, 1.53it/s] 81%|████████▏ | 13/16 [00:08<00:01, 1.54it/s] 88%|████████▊ | 14/16 [00:09<00:01, 1.53it/s] 94%|█████████▍| 15/16 [00:09<00:00, 1.53it/s] 100%|██████████| 16/16 [00:10<00:00, 1.53it/s] 100%|██████████| 16/16 [00:10<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.71s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x448 1 face, 39.3ms Speed: 2.3ms preprocess, 39.3ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:09, 1.60it/s] 12%|█▎ | 2/16 [00:01<00:08, 1.59it/s] 19%|█▉ | 3/16 [00:01<00:08, 1.59it/s] 25%|██▌ | 4/16 [00:02<00:07, 1.57it/s] 31%|███▏ | 5/16 [00:03<00:07, 1.56it/s] 38%|███▊ | 6/16 [00:03<00:06, 1.54it/s] 44%|████▍ | 7/16 [00:04<00:06, 1.44it/s] 50%|█████ | 8/16 [00:05<00:05, 1.43it/s] 56%|█████▋ | 9/16 [00:06<00:05, 1.33it/s] 62%|██████▎ | 10/16 [00:07<00:04, 1.25it/s] 69%|██████▉ | 11/16 [00:07<00:03, 1.34it/s] 75%|███████▌ | 12/16 [00:08<00:02, 1.40it/s] 81%|████████▏ | 13/16 [00:08<00:02, 1.46it/s] 88%|████████▊ | 14/16 [00:09<00:01, 1.50it/s] 94%|█████████▍| 15/16 [00:10<00:00, 1.53it/s] 100%|██████████| 16/16 [00:10<00:00, 1.56it/s] 100%|██████████| 16/16 [00:10<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.71s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 8.0ms Speed: 2.5ms preprocess, 8.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.