tungsten-logo
Sign In
Cute Cowgirl with Furricanes HumanMix
furricanes-humanmix:v1.0
evevalentine2017
evevalentine2017
·
12/15/2023
389
Input
prompt
Specify things to see in the output
teen, little debbie, cowgirl, small breasts, cowboy hat, (((sunset))), ((wearing leather chaps)), cowboy outfit, gun at hip in holster, freckles on face, set in the dusty old west, ((old west town background)), wide hips, (bright red lips,blush,powder blusher:0.5), eyelash,dark brown hair, (half updo:0.3), big hair, very long hair, make up, beautifully detailed big round dark brown eyes, double eyelid, supermodel, detailed skin, (mouth open), looking at viewer, off shoulder, bare thighs, limited palette, contrast, phenomenal aesthetic, best quality, sumptuous artwork, masterpiece, best quality, high quality, highres, natural light, ray tracing, volumetric light, realistic, photorealistic, ultra highres,vivid, <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/189e30cf1fe2425e9f26d8303aa00a42/00000-3868250924.webp
https://files.tungsten.run/uploads/0ee1cc19e2814d09adbcbfc1760f765c/00001-3868250925.webp
https://files.tungsten.run/uploads/ab2827f724df4d4f99ffb52a9dbfd309/00002-3868250926.webp
https://files.tungsten.run/uploads/6e2df67337d64e60822efc7655616153/00003-3868250927.webp
Finished in 79.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: teen, little debbie, cowgirl, small breasts, cowboy hat, (((sunset))), ((wearing leather chaps)), cowboy outfit, gun at hip in holster, freckles on face, set in the dusty old west, ((old west town background)), wide hips, (bright red lips,blush,powder blusher:0.5), eyelash,dark brown hair, (half updo:0.3), big hair, very long hair, make up, beautifully detailed big round dark brown eyes, double eyelid, supermodel, detailed skin, (mouth open), looking at viewer, off shoulder, bare thighs, limited palette, contrast, phenomenal aesthetic, best quality, sumptuous artwork, masterpiece, best quality, high quality, highres, natural light, ray tracing, volumetric light, realistic, photorealistic, ultra highres,vivid, 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 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:52, 1.83s/it] 7%|▋ | 2/30 [00:03<00:41, 1.48s/it] 10%|█ | 3/30 [00:04<00:36, 1.37s/it] 13%|█▎ | 4/30 [00:05<00:34, 1.32s/it] 17%|█▋ | 5/30 [00:06<00:32, 1.30s/it] 20%|██ | 6/30 [00:08<00:30, 1.28s/it] 23%|██▎ | 7/30 [00:09<00:29, 1.27s/it] 27%|██▋ | 8/30 [00:10<00:27, 1.26s/it] 30%|███ | 9/30 [00:11<00:26, 1.26s/it] 33%|███▎ | 10/30 [00:13<00:25, 1.26s/it] 37%|███▋ | 11/30 [00:14<00:23, 1.25s/it] 40%|████ | 12/30 [00:15<00:22, 1.25s/it] 43%|████▎ | 13/30 [00:16<00:21, 1.25s/it] 47%|████▋ | 14/30 [00:18<00:20, 1.26s/it] 50%|█████ | 15/30 [00:19<00:18, 1.26s/it] 53%|█████▎ | 16/30 [00:20<00:17, 1.26s/it] 57%|█████▋ | 17/30 [00:21<00:16, 1.26s/it] 60%|██████ | 18/30 [00:23<00:15, 1.27s/it] 63%|██████▎ | 19/30 [00:24<00:13, 1.26s/it] 67%|██████▋ | 20/30 [00:25<00:12, 1.26s/it] 70%|███████ | 21/30 [00:26<00:11, 1.27s/it] 73%|███████▎ | 22/30 [00:28<00:10, 1.26s/it] 77%|███████▋ | 23/30 [00:29<00:08, 1.26s/it] 80%|████████ | 24/30 [00:30<00:07, 1.26s/it] 83%|████████▎ | 25/30 [00:31<00:06, 1.26s/it] 87%|████████▋ | 26/30 [00:33<00:05, 1.27s/it] 90%|█████████ | 27/30 [00:34<00:03, 1.27s/it] 93%|█████████▎| 28/30 [00:35<00:02, 1.27s/it] 97%|█████████▋| 29/30 [00:37<00:01, 1.27s/it] 100%|██████████| 30/30 [00:37<00:00, 1.08s/it] 100%|██████████| 30/30 [00:37<00:00, 1.26s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 32.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.65it/s] 12%|█▏ | 2/17 [00:01<00:07, 2.07it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.26it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.35it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.40it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.43it/s] 41%|████ | 7/17 [00:02<00:04, 2.47it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.49it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.51it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.49it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.48it/s] 71%|███████ | 12/17 [00:04<00:02, 2.50it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.51it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.52it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.53it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.52it/s] 100%|██████████| 17/17 [00:06<00:00, 2.97it/s] 100%|██████████| 17/17 [00:06<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.56it/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, 2.49it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.52it/s] 41%|████ | 7/17 [00:02<00:03, 2.52it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.55it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.53it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.51it/s] 71%|███████ | 12/17 [00:04<00:01, 2.52it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.53it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.54it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.55it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.55it/s] 100%|██████████| 17/17 [00:06<00:00, 3.00it/s] 100%|██████████| 17/17 [00:06<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.54it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.54it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.52it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.54it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.55it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.55it/s] 41%|████ | 7/17 [00:02<00:03, 2.56it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.54it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.53it/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, 2.51it/s] 88%|████████▊ | 15/17 [00:05<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, 2.60it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.51it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.47it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.49it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.53it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.52it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:03, 2.52it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.51it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.51it/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, 2.51it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.50it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.51it/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 0.24s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
teen, little debbie, cowgirl, small breasts, cowboy hat, (((sunset))), ((wearing leather chaps)), cowboy outfit, gun at hip in holster, freckles on face, set in the dusty old west, ((old west town background)), wide hips, (bright red lips,blush,powder blusher:0.5), eyelash,dark brown hair, (half updo:0.3), big hair, very long hair, make up, beautifully detailed big round dark brown eyes, double eyelid, supermodel, detailed skin, (mouth open), looking at viewer, off shoulder, bare thighs, limited palette, contrast, phenomenal aesthetic, best quality, sumptuous artwork, masterpiece, best quality, high quality, highres, natural light, ray tracing, volumetric light, realistic, photorealistic, ultra highres,vivid, <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/189e30cf1fe2425e9f26d8303aa00a42/00000-3868250924.webp
https://files.tungsten.run/uploads/0ee1cc19e2814d09adbcbfc1760f765c/00001-3868250925.webp
https://files.tungsten.run/uploads/ab2827f724df4d4f99ffb52a9dbfd309/00002-3868250926.webp
https://files.tungsten.run/uploads/6e2df67337d64e60822efc7655616153/00003-3868250927.webp
Finished in 79.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: teen, little debbie, cowgirl, small breasts, cowboy hat, (((sunset))), ((wearing leather chaps)), cowboy outfit, gun at hip in holster, freckles on face, set in the dusty old west, ((old west town background)), wide hips, (bright red lips,blush,powder blusher:0.5), eyelash,dark brown hair, (half updo:0.3), big hair, very long hair, make up, beautifully detailed big round dark brown eyes, double eyelid, supermodel, detailed skin, (mouth open), looking at viewer, off shoulder, bare thighs, limited palette, contrast, phenomenal aesthetic, best quality, sumptuous artwork, masterpiece, best quality, high quality, highres, natural light, ray tracing, volumetric light, realistic, photorealistic, ultra highres,vivid, 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 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:52, 1.83s/it] 7%|▋ | 2/30 [00:03<00:41, 1.48s/it] 10%|█ | 3/30 [00:04<00:36, 1.37s/it] 13%|█▎ | 4/30 [00:05<00:34, 1.32s/it] 17%|█▋ | 5/30 [00:06<00:32, 1.30s/it] 20%|██ | 6/30 [00:08<00:30, 1.28s/it] 23%|██▎ | 7/30 [00:09<00:29, 1.27s/it] 27%|██▋ | 8/30 [00:10<00:27, 1.26s/it] 30%|███ | 9/30 [00:11<00:26, 1.26s/it] 33%|███▎ | 10/30 [00:13<00:25, 1.26s/it] 37%|███▋ | 11/30 [00:14<00:23, 1.25s/it] 40%|████ | 12/30 [00:15<00:22, 1.25s/it] 43%|████▎ | 13/30 [00:16<00:21, 1.25s/it] 47%|████▋ | 14/30 [00:18<00:20, 1.26s/it] 50%|█████ | 15/30 [00:19<00:18, 1.26s/it] 53%|█████▎ | 16/30 [00:20<00:17, 1.26s/it] 57%|█████▋ | 17/30 [00:21<00:16, 1.26s/it] 60%|██████ | 18/30 [00:23<00:15, 1.27s/it] 63%|██████▎ | 19/30 [00:24<00:13, 1.26s/it] 67%|██████▋ | 20/30 [00:25<00:12, 1.26s/it] 70%|███████ | 21/30 [00:26<00:11, 1.27s/it] 73%|███████▎ | 22/30 [00:28<00:10, 1.26s/it] 77%|███████▋ | 23/30 [00:29<00:08, 1.26s/it] 80%|████████ | 24/30 [00:30<00:07, 1.26s/it] 83%|████████▎ | 25/30 [00:31<00:06, 1.26s/it] 87%|████████▋ | 26/30 [00:33<00:05, 1.27s/it] 90%|█████████ | 27/30 [00:34<00:03, 1.27s/it] 93%|█████████▎| 28/30 [00:35<00:02, 1.27s/it] 97%|█████████▋| 29/30 [00:37<00:01, 1.27s/it] 100%|██████████| 30/30 [00:37<00:00, 1.08s/it] 100%|██████████| 30/30 [00:37<00:00, 1.26s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 32.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.65it/s] 12%|█▏ | 2/17 [00:01<00:07, 2.07it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.26it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.35it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.40it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.43it/s] 41%|████ | 7/17 [00:02<00:04, 2.47it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.49it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.51it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.49it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.48it/s] 71%|███████ | 12/17 [00:04<00:02, 2.50it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.51it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.52it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.53it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.52it/s] 100%|██████████| 17/17 [00:06<00:00, 2.97it/s] 100%|██████████| 17/17 [00:06<00:00, 2.51it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.56it/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, 2.49it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.52it/s] 41%|████ | 7/17 [00:02<00:03, 2.52it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.55it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.53it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.51it/s] 71%|███████ | 12/17 [00:04<00:01, 2.52it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.53it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.54it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.55it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.55it/s] 100%|██████████| 17/17 [00:06<00:00, 3.00it/s] 100%|██████████| 17/17 [00:06<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.54it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.54it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.52it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.54it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.55it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.55it/s] 41%|████ | 7/17 [00:02<00:03, 2.56it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.54it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.53it/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, 2.51it/s] 88%|████████▊ | 15/17 [00:05<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, 2.60it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.51it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.47it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.49it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.53it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.52it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:03, 2.52it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.51it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.51it/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, 2.51it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.50it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.51it/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 0.24s Move latents to cpu... done in 0.0s Finished.