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Girl in the Storm with Funny City
funny-city:v1.5
evevalentine2017
evevalentine2017
·
12/14/2023
354
Input
prompt
Specify things to see in the output
(masterpiece, best quality:1.2), <lora:smol02:0.4>, <lora:tangbohu-line_1.0:0.6>, 1 girl, adult woman, freckles, pink eyes, auburn braided hairstyle, ombre, Style-GravityMagic, solo, upper body, looking at viewer, detailed background, detailed face, (fallout theme:1.1), lightning flickering in eyes, wind-wizard, intense concentration, wearing sorcerer clothes, cloak billowing in the wind, spear of thunderous lightning, lightning illuminating the sky, whirlwind, tempest, ocean shore in background, dark lighting, epic atmosphere,<lora:more_details:0.8>
negative_prompt
Specify things to not see in the output
(human face), FastNegativeV2, (By bad artist -neg: 1), (worst quality, low quality: 1.4), (bad_prompt_version2: 0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), ng_deepnegative_v1_75t, (three hands: 1.3), (three legs: 1.2), (more than two hands: 1.3), (more than two legs: 1.2), label, watermark.
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
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.
3097517981
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
28
cfg_scale
Scale for classifier-free guidance
9.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Smol2-10.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
tangbohu-detailmaker_v2.5.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
By bad artist -neg.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/60a63f10e130444f89885144ffcba6b5/00000-3097517981.webp
https://files.tungsten.run/uploads/1e85fec26c69411182bbd7b6912d35d7/00001-3097517982.webp
https://files.tungsten.run/uploads/c198238d04614e739ca14034d340cedc/00002-3097517983.webp
https://files.tungsten.run/uploads/5a79f707387c4e2091458e31abd9ee7e/00003-3097517984.webp
Finished in 44.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, best quality:1.2), <lora:smol02:0.4>, <lora:tangbohu-line_1.0:0.6>, 1 girl, adult woman, freckles, pink eyes, auburn braided hairstyle, ombre, Style-GravityMagic, solo, upper body, looking at viewer, detailed background, detailed face, (fallout theme:1.1), lightning flickering in eyes, wind-wizard, intense concentration, wearing sorcerer clothes, cloak billowing in the wind, spear of thunderous lightning, lightning illuminating the sky, whirlwind, tempest, ocean shore in background, dark lighting, epic atmosphere,<lora:more_details:0.8> Full negative prompt: (human face), FastNegativeV2, (By bad artist -neg: 1), (worst quality, low quality: 1.4), (bad_prompt_version2: 0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), ng_deepnegative_v1_75t, (three hands: 1.3), (three legs: 1.2), (more than two hands: 1.3), (more than two legs: 1.2), label, watermark. Couldn't find network with name smol02 Couldn't find network with name tangbohu-line_1.0 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:31, 1.18s/it] 7%|▋ | 2/28 [00:01<00:22, 1.14it/s] 11%|█ | 3/28 [00:02<00:19, 1.29it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.37it/s] 18%|█▊ | 5/28 [00:03<00:16, 1.42it/s] 21%|██▏ | 6/28 [00:04<00:15, 1.45it/s] 25%|██▌ | 7/28 [00:05<00:14, 1.46it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.47it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.49it/s] 36%|███▌ | 10/28 [00:07<00:12, 1.49it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.50it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.50it/s] 46%|████▋ | 13/28 [00:09<00:10, 1.50it/s] 50%|█████ | 14/28 [00:09<00:09, 1.50it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.50it/s] 57%|█████▋ | 16/28 [00:11<00:07, 1.50it/s] 61%|██████ | 17/28 [00:11<00:07, 1.50it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.50it/s] 68%|██████▊ | 19/28 [00:13<00:06, 1.50it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.50it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.50it/s] 79%|███████▊ | 22/28 [00:15<00:04, 1.50it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.50it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.49it/s] 89%|████████▉ | 25/28 [00:17<00:02, 1.49it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.49it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.48it/s] 100%|██████████| 28/28 [00:19<00:00, 1.48it/s] 100%|██████████| 28/28 [00:19<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 6.1ms preprocess, 7.6ms inference, 46.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name smol02 Couldn't find network with name tangbohu-line_1.0 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.00it/s] 12%|█▎ | 2/16 [00:00<00:03, 4.42it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.17it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.61it/s] 31%|███▏ | 5/16 [00:00<00:01, 5.87it/s] 38%|███▊ | 6/16 [00:01<00:01, 5.97it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.02it/s] 50%|█████ | 8/16 [00:01<00:01, 6.05it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.15it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.23it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.29it/s] 75%|███████▌ | 12/16 [00:02<00:00, 6.29it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.24it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.26it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s] 100%|██████████| 16/16 [00:02<00:00, 6.35it/s] 100%|██████████| 16/16 [00:02<00:00, 5.93it/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: 2.9ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name smol02 Couldn't find network with name tangbohu-line_1.0 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.80it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.59it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.51it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.49it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.49it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.37it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.32it/s] 50%|█████ | 8/16 [00:01<00:01, 6.34it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.24it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.34it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.36it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.33it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.28it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.27it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.28it/s] 100%|██████████| 16/16 [00:02<00:00, 6.34it/s] 100%|██████████| 16/16 [00:02<00:00, 6.36it/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: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name smol02 Couldn't find network with name tangbohu-line_1.0 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 7.15it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.74it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.62it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.56it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.52it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.38it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.28it/s] 50%|█████ | 8/16 [00:01<00:01, 6.30it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.33it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.38it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.41it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.23it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.28it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.27it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s] 100%|██████████| 16/16 [00:02<00:00, 6.33it/s] 100%|██████████| 16/16 [00:02<00:00, 6.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name smol02 Couldn't find network with name tangbohu-line_1.0 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.73it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.52it/s] 19%|█▉ | 3/16 [00:00<00:02, 6.50it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.48it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.47it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.34it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.28it/s] 50%|█████ | 8/16 [00:01<00:01, 6.29it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.30it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.33it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.38it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.35it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.32it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.30it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s] 100%|██████████| 16/16 [00:02<00:00, 6.33it/s] 100%|██████████| 16/16 [00:02<00:00, 6.36it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.45s Move latents to cpu... done in 0.22s Finished.
prompt
Specify things to see in the output
(masterpiece, best quality:1.2), <lora:smol02:0.4>, <lora:tangbohu-line_1.0:0.6>, 1 girl, adult woman, freckles, pink eyes, auburn braided hairstyle, ombre, Style-GravityMagic, solo, upper body, looking at viewer, detailed background, detailed face, (fallout theme:1.1), lightning flickering in eyes, wind-wizard, intense concentration, wearing sorcerer clothes, cloak billowing in the wind, spear of thunderous lightning, lightning illuminating the sky, whirlwind, tempest, ocean shore in background, dark lighting, epic atmosphere,<lora:more_details:0.8>
negative_prompt
Specify things to not see in the output
(human face), FastNegativeV2, (By bad artist -neg: 1), (worst quality, low quality: 1.4), (bad_prompt_version2: 0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), ng_deepnegative_v1_75t, (three hands: 1.3), (three legs: 1.2), (more than two hands: 1.3), (more than two legs: 1.2), label, watermark.
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
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.
3097517981
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
28
cfg_scale
Scale for classifier-free guidance
9.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Smol2-10.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
tangbohu-detailmaker_v2.5.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
By bad artist -neg.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/60a63f10e130444f89885144ffcba6b5/00000-3097517981.webp
https://files.tungsten.run/uploads/1e85fec26c69411182bbd7b6912d35d7/00001-3097517982.webp
https://files.tungsten.run/uploads/c198238d04614e739ca14034d340cedc/00002-3097517983.webp
https://files.tungsten.run/uploads/5a79f707387c4e2091458e31abd9ee7e/00003-3097517984.webp
Finished in 44.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, best quality:1.2), <lora:smol02:0.4>, <lora:tangbohu-line_1.0:0.6>, 1 girl, adult woman, freckles, pink eyes, auburn braided hairstyle, ombre, Style-GravityMagic, solo, upper body, looking at viewer, detailed background, detailed face, (fallout theme:1.1), lightning flickering in eyes, wind-wizard, intense concentration, wearing sorcerer clothes, cloak billowing in the wind, spear of thunderous lightning, lightning illuminating the sky, whirlwind, tempest, ocean shore in background, dark lighting, epic atmosphere,<lora:more_details:0.8> Full negative prompt: (human face), FastNegativeV2, (By bad artist -neg: 1), (worst quality, low quality: 1.4), (bad_prompt_version2: 0.8), lowres, bad anatomy, bad hands, ((text)), (watermark), error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, ((username)), blurry, (extra limbs), ng_deepnegative_v1_75t, (three hands: 1.3), (three legs: 1.2), (more than two hands: 1.3), (more than two legs: 1.2), label, watermark. Couldn't find network with name smol02 Couldn't find network with name tangbohu-line_1.0 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:31, 1.18s/it] 7%|▋ | 2/28 [00:01<00:22, 1.14it/s] 11%|█ | 3/28 [00:02<00:19, 1.29it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.37it/s] 18%|█▊ | 5/28 [00:03<00:16, 1.42it/s] 21%|██▏ | 6/28 [00:04<00:15, 1.45it/s] 25%|██▌ | 7/28 [00:05<00:14, 1.46it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.47it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.49it/s] 36%|███▌ | 10/28 [00:07<00:12, 1.49it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.50it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.50it/s] 46%|████▋ | 13/28 [00:09<00:10, 1.50it/s] 50%|█████ | 14/28 [00:09<00:09, 1.50it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.50it/s] 57%|█████▋ | 16/28 [00:11<00:07, 1.50it/s] 61%|██████ | 17/28 [00:11<00:07, 1.50it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.50it/s] 68%|██████▊ | 19/28 [00:13<00:06, 1.50it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.50it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.50it/s] 79%|███████▊ | 22/28 [00:15<00:04, 1.50it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.50it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.49it/s] 89%|████████▉ | 25/28 [00:17<00:02, 1.49it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.49it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.48it/s] 100%|██████████| 28/28 [00:19<00:00, 1.48it/s] 100%|██████████| 28/28 [00:19<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 6.1ms preprocess, 7.6ms inference, 46.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name smol02 Couldn't find network with name tangbohu-line_1.0 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.00it/s] 12%|█▎ | 2/16 [00:00<00:03, 4.42it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.17it/s] 25%|██▌ | 4/16 [00:00<00:02, 5.61it/s] 31%|███▏ | 5/16 [00:00<00:01, 5.87it/s] 38%|███▊ | 6/16 [00:01<00:01, 5.97it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.02it/s] 50%|█████ | 8/16 [00:01<00:01, 6.05it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.15it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.23it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.29it/s] 75%|███████▌ | 12/16 [00:02<00:00, 6.29it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.24it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.26it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s] 100%|██████████| 16/16 [00:02<00:00, 6.35it/s] 100%|██████████| 16/16 [00:02<00:00, 5.93it/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: 2.9ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name smol02 Couldn't find network with name tangbohu-line_1.0 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.80it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.59it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.51it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.49it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.49it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.37it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.32it/s] 50%|█████ | 8/16 [00:01<00:01, 6.34it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.24it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.34it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.36it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.33it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.28it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.27it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.28it/s] 100%|██████████| 16/16 [00:02<00:00, 6.34it/s] 100%|██████████| 16/16 [00:02<00:00, 6.36it/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: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name smol02 Couldn't find network with name tangbohu-line_1.0 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 7.15it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.74it/s] 19%|█▉ | 3/16 [00:00<00:01, 6.62it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.56it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.52it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.38it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.28it/s] 50%|█████ | 8/16 [00:01<00:01, 6.30it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.33it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.38it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.41it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.23it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.28it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.27it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s] 100%|██████████| 16/16 [00:02<00:00, 6.33it/s] 100%|██████████| 16/16 [00:02<00:00, 6.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name smol02 Couldn't find network with name tangbohu-line_1.0 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 6.73it/s] 12%|█▎ | 2/16 [00:00<00:02, 6.52it/s] 19%|█▉ | 3/16 [00:00<00:02, 6.50it/s] 25%|██▌ | 4/16 [00:00<00:01, 6.48it/s] 31%|███▏ | 5/16 [00:00<00:01, 6.47it/s] 38%|███▊ | 6/16 [00:00<00:01, 6.34it/s] 44%|████▍ | 7/16 [00:01<00:01, 6.28it/s] 50%|█████ | 8/16 [00:01<00:01, 6.29it/s] 56%|█████▋ | 9/16 [00:01<00:01, 6.30it/s] 62%|██████▎ | 10/16 [00:01<00:00, 6.33it/s] 69%|██████▉ | 11/16 [00:01<00:00, 6.38it/s] 75%|███████▌ | 12/16 [00:01<00:00, 6.35it/s] 81%|████████▏ | 13/16 [00:02<00:00, 6.32it/s] 88%|████████▊ | 14/16 [00:02<00:00, 6.30it/s] 94%|█████████▍| 15/16 [00:02<00:00, 6.30it/s] 100%|██████████| 16/16 [00:02<00:00, 6.33it/s] 100%|██████████| 16/16 [00:02<00:00, 6.36it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.45s Move latents to cpu... done in 0.22s Finished.