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Bikinis with Furricanes HumanMix
furricanes-humanmix:v1.0
evevalentine2017
evevalentine2017
·
12/15/2023
335
Input
prompt
Specify things to see in the output
safe_pos, immoral strings bikini, passionate woman lying in a haystack, visible from behind, exotic weather, woman in a highly narrow thong, depraved girl, micro, ultra mini bikini, amazing body, realistic, detailed,detailed, hottest girl, blonde hair, indecently posing, nudel, elastic bust, tattoos, aesthetics of the female body, bikini, adorable, nudeless, ultra realism, photorealism, like in a comic book, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.8>, shiny skin
negative_prompt
Specify things to not see in the output
nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegativeV2, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella
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
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
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.
3868250924
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
Restart
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_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>
GTS.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)
EasyNegativeV2.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/02c95c0578e1485ea47abf9f9be6d302/00000-3868250924.webp
https://files.tungsten.run/uploads/f78cf0b009584c4ca1f462de93985401/00001-3868250925.webp
https://files.tungsten.run/uploads/51e50ebb380e4a819b933b375d50c6e0/00002-3868250926.webp
https://files.tungsten.run/uploads/c27c3ef6718341a4b51fbeec68eabca2/00003-3868250927.webp
Finished in 79.8 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: safe_pos, immoral strings bikini, passionate woman lying in a haystack, visible from behind, exotic weather, woman in a highly narrow thong, depraved girl, micro, ultra mini bikini, amazing body, realistic, detailed,detailed, hottest girl, blonde hair, indecently posing, nudel, elastic bust, tattoos, aesthetics of the female body, bikini, adorable, nudeless, ultra realism, photorealism, like in a comic book, <lora:FaceBeauty_qinglong_V3:1>, shiny skin, <lora:add_detail:0.1> Full negative prompt: nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegativeV2, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:53, 1.85s/it] 7%|▋ | 2/30 [00:03<00:42, 1.50s/it] 10%|█ | 3/30 [00:04<00:37, 1.39s/it] 13%|█▎ | 4/30 [00:05<00:34, 1.34s/it] 17%|█▋ | 5/30 [00:06<00:32, 1.32s/it] 20%|██ | 6/30 [00:08<00:31, 1.30s/it] 23%|██▎ | 7/30 [00:09<00:29, 1.29s/it] 27%|██▋ | 8/30 [00:10<00:28, 1.29s/it] 30%|███ | 9/30 [00:12<00:27, 1.29s/it] 33%|███▎ | 10/30 [00:13<00:25, 1.29s/it] 37%|███▋ | 11/30 [00:14<00:24, 1.29s/it] 40%|████ | 12/30 [00:15<00:23, 1.29s/it] 43%|████▎ | 13/30 [00:17<00:21, 1.29s/it] 47%|████▋ | 14/30 [00:18<00:20, 1.29s/it] 50%|█████ | 15/30 [00:19<00:19, 1.30s/it] 53%|█████▎ | 16/30 [00:21<00:18, 1.30s/it] 57%|█████▋ | 17/30 [00:22<00:16, 1.30s/it] 60%|██████ | 18/30 [00:23<00:15, 1.30s/it] 63%|██████▎ | 19/30 [00:24<00:14, 1.30s/it] 67%|██████▋ | 20/30 [00:26<00:13, 1.30s/it] 70%|███████ | 21/30 [00:27<00:11, 1.30s/it] 73%|███████▎ | 22/30 [00:28<00:10, 1.30s/it] 77%|███████▋ | 23/30 [00:30<00:09, 1.30s/it] 80%|████████ | 24/30 [00:31<00:07, 1.31s/it] 83%|████████▎ | 25/30 [00:32<00:06, 1.31s/it] 87%|████████▋ | 26/30 [00:34<00:05, 1.31s/it] 90%|█████████ | 27/30 [00:35<00:03, 1.31s/it] 93%|█████████▎| 28/30 [00:36<00:02, 1.31s/it] 97%|█████████▋| 29/30 [00:38<00:01, 1.32s/it] 100%|██████████| 30/30 [00:38<00:00, 1.12s/it] 100%|██████████| 30/30 [00:38<00:00, 1.29s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.3ms preprocess, 7.8ms inference, 38.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.73it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.13it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.28it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.37it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.42it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.45it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.47it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.46it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.49it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.50it/s] 71%|███████ | 12/17 [00:04<00:01, 2.51it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.49it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.50it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.51it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.50it/s] 100%|██████████| 17/17 [00:06<00:00, 2.95it/s] 100%|██████████| 17/17 [00:06<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.54it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.52it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.51it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.50it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.51it/s] 41%|████ | 7/17 [00:02<00:03, 2.51it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.50it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.49it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.50it/s] 71%|███████ | 12/17 [00:04<00:01, 2.51it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.51it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.51it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.49it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.50it/s] 100%|██████████| 17/17 [00:06<00:00, 2.95it/s] 100%|██████████| 17/17 [00:06<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.53it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.52it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.51it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.50it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.50it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.49it/s] 41%|████ | 7/17 [00:02<00:03, 2.50it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.52it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.52it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.52it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.51it/s] 71%|███████ | 12/17 [00:04<00:01, 2.51it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.52it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.52it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.52it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.52it/s] 100%|██████████| 17/17 [00:06<00:00, 2.96it/s] 100%|██████████| 17/17 [00:06<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.52it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.51it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.50it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.51it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.50it/s] 41%|████ | 7/17 [00:02<00:03, 2.51it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.50it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.46it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.47it/s] 71%|███████ | 12/17 [00:04<00:02, 2.47it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.48it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.48it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.46it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.48it/s] 100%|██████████| 17/17 [00:06<00:00, 2.92it/s] 100%|██████████| 17/17 [00:06<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
safe_pos, immoral strings bikini, passionate woman lying in a haystack, visible from behind, exotic weather, woman in a highly narrow thong, depraved girl, micro, ultra mini bikini, amazing body, realistic, detailed,detailed, hottest girl, blonde hair, indecently posing, nudel, elastic bust, tattoos, aesthetics of the female body, bikini, adorable, nudeless, ultra realism, photorealism, like in a comic book, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.8>, shiny skin
negative_prompt
Specify things to not see in the output
nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegativeV2, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella
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
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
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.
3868250924
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
Restart
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_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>
GTS.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)
EasyNegativeV2.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/02c95c0578e1485ea47abf9f9be6d302/00000-3868250924.webp
https://files.tungsten.run/uploads/f78cf0b009584c4ca1f462de93985401/00001-3868250925.webp
https://files.tungsten.run/uploads/51e50ebb380e4a819b933b375d50c6e0/00002-3868250926.webp
https://files.tungsten.run/uploads/c27c3ef6718341a4b51fbeec68eabca2/00003-3868250927.webp
Finished in 79.8 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: safe_pos, immoral strings bikini, passionate woman lying in a haystack, visible from behind, exotic weather, woman in a highly narrow thong, depraved girl, micro, ultra mini bikini, amazing body, realistic, detailed,detailed, hottest girl, blonde hair, indecently posing, nudel, elastic bust, tattoos, aesthetics of the female body, bikini, adorable, nudeless, ultra realism, photorealism, like in a comic book, <lora:FaceBeauty_qinglong_V3:1>, shiny skin, <lora:add_detail:0.1> Full negative prompt: nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegativeV2, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:53, 1.85s/it] 7%|▋ | 2/30 [00:03<00:42, 1.50s/it] 10%|█ | 3/30 [00:04<00:37, 1.39s/it] 13%|█▎ | 4/30 [00:05<00:34, 1.34s/it] 17%|█▋ | 5/30 [00:06<00:32, 1.32s/it] 20%|██ | 6/30 [00:08<00:31, 1.30s/it] 23%|██▎ | 7/30 [00:09<00:29, 1.29s/it] 27%|██▋ | 8/30 [00:10<00:28, 1.29s/it] 30%|███ | 9/30 [00:12<00:27, 1.29s/it] 33%|███▎ | 10/30 [00:13<00:25, 1.29s/it] 37%|███▋ | 11/30 [00:14<00:24, 1.29s/it] 40%|████ | 12/30 [00:15<00:23, 1.29s/it] 43%|████▎ | 13/30 [00:17<00:21, 1.29s/it] 47%|████▋ | 14/30 [00:18<00:20, 1.29s/it] 50%|█████ | 15/30 [00:19<00:19, 1.30s/it] 53%|█████▎ | 16/30 [00:21<00:18, 1.30s/it] 57%|█████▋ | 17/30 [00:22<00:16, 1.30s/it] 60%|██████ | 18/30 [00:23<00:15, 1.30s/it] 63%|██████▎ | 19/30 [00:24<00:14, 1.30s/it] 67%|██████▋ | 20/30 [00:26<00:13, 1.30s/it] 70%|███████ | 21/30 [00:27<00:11, 1.30s/it] 73%|███████▎ | 22/30 [00:28<00:10, 1.30s/it] 77%|███████▋ | 23/30 [00:30<00:09, 1.30s/it] 80%|████████ | 24/30 [00:31<00:07, 1.31s/it] 83%|████████▎ | 25/30 [00:32<00:06, 1.31s/it] 87%|████████▋ | 26/30 [00:34<00:05, 1.31s/it] 90%|█████████ | 27/30 [00:35<00:03, 1.31s/it] 93%|█████████▎| 28/30 [00:36<00:02, 1.31s/it] 97%|█████████▋| 29/30 [00:38<00:01, 1.32s/it] 100%|██████████| 30/30 [00:38<00:00, 1.12s/it] 100%|██████████| 30/30 [00:38<00:00, 1.29s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.3ms preprocess, 7.8ms inference, 38.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.73it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.13it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.28it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.37it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.42it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.45it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.47it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.46it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.49it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.50it/s] 71%|███████ | 12/17 [00:04<00:01, 2.51it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.49it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.50it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.51it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.50it/s] 100%|██████████| 17/17 [00:06<00:00, 2.95it/s] 100%|██████████| 17/17 [00:06<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.54it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.52it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.51it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.50it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.51it/s] 41%|████ | 7/17 [00:02<00:03, 2.51it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.50it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.49it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.50it/s] 71%|███████ | 12/17 [00:04<00:01, 2.51it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.51it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.51it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.49it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.50it/s] 100%|██████████| 17/17 [00:06<00:00, 2.95it/s] 100%|██████████| 17/17 [00:06<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.53it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.52it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.51it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.50it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.50it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.49it/s] 41%|████ | 7/17 [00:02<00:03, 2.50it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.52it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.52it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.52it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.51it/s] 71%|███████ | 12/17 [00:04<00:01, 2.51it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.52it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.52it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.52it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.52it/s] 100%|██████████| 17/17 [00:06<00:00, 2.96it/s] 100%|██████████| 17/17 [00:06<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name FaceBeauty_qinglong_V3 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.52it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.51it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.50it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.51it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.50it/s] 41%|████ | 7/17 [00:02<00:03, 2.51it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.50it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.46it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.47it/s] 71%|███████ | 12/17 [00:04<00:02, 2.47it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.48it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.48it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.46it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.48it/s] 100%|██████████| 17/17 [00:06<00:00, 2.92it/s] 100%|██████████| 17/17 [00:06<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.