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Yellow Coat Girl with Funny City
funny-city:v1.5
evevalentine2017
evevalentine2017
·
12/14/2023
362
Input
prompt
Specify things to see in the output
masterpiece, best quality, forest, 1girl, (yellow coat:1.1), fat dog, fantasy, unique composition, Studio Ghibli Style, mushroom, <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.
95461537
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>
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)
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/876d7d060e6c40358357072688abc0d8/00000-95461537.webp
https://files.tungsten.run/uploads/d9e16065f7074ef8956e44b924350b2c/00001-95461538.webp
https://files.tungsten.run/uploads/cbf612e4af934c7db5eeb96de215e7fd/00002-95461539.webp
https://files.tungsten.run/uploads/750cc0a4cb994f36ba2e64f292d391b7/00003-95461540.webp
Finished in 51.5 seconds
v1.5: Pulling from evevalentine2017/funny-city 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 d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Pull complete 73724e59ae9f: Pull complete 0133c7b19430: Pull complete 6cf7f9287dea: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, forest, 1girl, (yellow coat:1.1), fat dog, fantasy, unique composition, Studio Ghibli Style, mushroom, <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. 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:32, 1.21s/it] 7%|▋ | 2/28 [00:01<00:22, 1.15it/s] 11%|█ | 3/28 [00:02<00:18, 1.32it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.41it/s] 18%|█▊ | 5/28 [00:03<00:15, 1.47it/s] 21%|██▏ | 6/28 [00:04<00:14, 1.50it/s] 25%|██▌ | 7/28 [00:05<00:13, 1.52it/s] 29%|██▊ | 8/28 [00:05<00:12, 1.54it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.55it/s] 36%|███▌ | 10/28 [00:06<00:11, 1.55it/s] 39%|███▉ | 11/28 [00:07<00:10, 1.56it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.55it/s] 46%|████▋ | 13/28 [00:08<00:09, 1.56it/s] 50%|█████ | 14/28 [00:09<00:09, 1.55it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.56it/s] 57%|█████▋ | 16/28 [00:10<00:07, 1.56it/s] 61%|██████ | 17/28 [00:11<00:07, 1.56it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.56it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.56it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.56it/s] 75%|███████▌ | 21/28 [00:13<00:04, 1.56it/s] 79%|███████▊ | 22/28 [00:14<00:03, 1.55it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.55it/s] 86%|████████▌ | 24/28 [00:15<00:02, 1.55it/s] 89%|████████▉ | 25/28 [00:16<00:01, 1.55it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.54it/s] 96%|█████████▋| 27/28 [00:17<00:00, 1.54it/s] 100%|██████████| 28/28 [00:18<00:00, 1.54it/s] 100%|██████████| 28/28 [00:18<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 4.1ms preprocess, 7.4ms inference, 32.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:05, 2.55it/s] 12%|█▎ | 2/16 [00:00<00:03, 3.56it/s] 19%|█▉ | 3/16 [00:00<00:03, 3.94it/s] 25%|██▌ | 4/16 [00:01<00:02, 4.26it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.46it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.63it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.70it/s] 50%|█████ | 8/16 [00:01<00:01, 4.67it/s] 56%|█████▋ | 9/16 [00:02<00:01, 4.75it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.79it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.83it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.79it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.61it/s] 88%|████████▊ | 14/16 [00:03<00:00, 4.70it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.79it/s] 100%|██████████| 16/16 [00:03<00:00, 4.85it/s] 100%|██████████| 16/16 [00:03<00:00, 4.55it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.99it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.89it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.92it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.93it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.91it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.86it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.87it/s] 50%|█████ | 8/16 [00:01<00:01, 4.84it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.80it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.85it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.89it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.84it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.84it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.87it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.83it/s] 100%|██████████| 16/16 [00:03<00:00, 4.85it/s] 100%|██████████| 16/16 [00:03<00:00, 4.86it/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 0.23s 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.81it/s] 12%|█▎ | 2/16 [00:00<00:03, 4.56it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.71it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.79it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.85it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.87it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.75it/s] 50%|█████ | 8/16 [00:01<00:01, 4.80it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.84it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.83it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.86it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.81it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.82it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.86it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.85it/s] 100%|██████████| 16/16 [00:03<00:00, 4.82it/s] 100%|██████████| 16/16 [00:03<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.81it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.80it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.85it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.90it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.79it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.84it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.88it/s] 50%|█████ | 8/16 [00:01<00:01, 4.90it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.92it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.77it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.80it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.77it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.76it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.80it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.60it/s] 100%|██████████| 16/16 [00:03<00:00, 4.69it/s] 100%|██████████| 16/16 [00:03<00:00, 4.78it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.85it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.78it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.84it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.85it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.73it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.76it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.73it/s] 50%|█████ | 8/16 [00:01<00:01, 4.78it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.79it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.65it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.68it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.71it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.77it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.77it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.75it/s] 100%|██████████| 16/16 [00:03<00:00, 4.79it/s] 100%|██████████| 16/16 [00:03<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
masterpiece, best quality, forest, 1girl, (yellow coat:1.1), fat dog, fantasy, unique composition, Studio Ghibli Style, mushroom, <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.
95461537
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>
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)
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/876d7d060e6c40358357072688abc0d8/00000-95461537.webp
https://files.tungsten.run/uploads/d9e16065f7074ef8956e44b924350b2c/00001-95461538.webp
https://files.tungsten.run/uploads/cbf612e4af934c7db5eeb96de215e7fd/00002-95461539.webp
https://files.tungsten.run/uploads/750cc0a4cb994f36ba2e64f292d391b7/00003-95461540.webp
Finished in 51.5 seconds
v1.5: Pulling from evevalentine2017/funny-city 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 d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Pull complete 73724e59ae9f: Pull complete 0133c7b19430: Pull complete 6cf7f9287dea: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, forest, 1girl, (yellow coat:1.1), fat dog, fantasy, unique composition, Studio Ghibli Style, mushroom, <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. 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:32, 1.21s/it] 7%|▋ | 2/28 [00:01<00:22, 1.15it/s] 11%|█ | 3/28 [00:02<00:18, 1.32it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.41it/s] 18%|█▊ | 5/28 [00:03<00:15, 1.47it/s] 21%|██▏ | 6/28 [00:04<00:14, 1.50it/s] 25%|██▌ | 7/28 [00:05<00:13, 1.52it/s] 29%|██▊ | 8/28 [00:05<00:12, 1.54it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.55it/s] 36%|███▌ | 10/28 [00:06<00:11, 1.55it/s] 39%|███▉ | 11/28 [00:07<00:10, 1.56it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.55it/s] 46%|████▋ | 13/28 [00:08<00:09, 1.56it/s] 50%|█████ | 14/28 [00:09<00:09, 1.55it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.56it/s] 57%|█████▋ | 16/28 [00:10<00:07, 1.56it/s] 61%|██████ | 17/28 [00:11<00:07, 1.56it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.56it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.56it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.56it/s] 75%|███████▌ | 21/28 [00:13<00:04, 1.56it/s] 79%|███████▊ | 22/28 [00:14<00:03, 1.55it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.55it/s] 86%|████████▌ | 24/28 [00:15<00:02, 1.55it/s] 89%|████████▉ | 25/28 [00:16<00:01, 1.55it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.54it/s] 96%|█████████▋| 27/28 [00:17<00:00, 1.54it/s] 100%|██████████| 28/28 [00:18<00:00, 1.54it/s] 100%|██████████| 28/28 [00:18<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 4.1ms preprocess, 7.4ms inference, 32.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:05, 2.55it/s] 12%|█▎ | 2/16 [00:00<00:03, 3.56it/s] 19%|█▉ | 3/16 [00:00<00:03, 3.94it/s] 25%|██▌ | 4/16 [00:01<00:02, 4.26it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.46it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.63it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.70it/s] 50%|█████ | 8/16 [00:01<00:01, 4.67it/s] 56%|█████▋ | 9/16 [00:02<00:01, 4.75it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.79it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.83it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.79it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.61it/s] 88%|████████▊ | 14/16 [00:03<00:00, 4.70it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.79it/s] 100%|██████████| 16/16 [00:03<00:00, 4.85it/s] 100%|██████████| 16/16 [00:03<00:00, 4.55it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.99it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.89it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.92it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.93it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.91it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.86it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.87it/s] 50%|█████ | 8/16 [00:01<00:01, 4.84it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.80it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.85it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.89it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.84it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.84it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.87it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.83it/s] 100%|██████████| 16/16 [00:03<00:00, 4.85it/s] 100%|██████████| 16/16 [00:03<00:00, 4.86it/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 0.23s 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.81it/s] 12%|█▎ | 2/16 [00:00<00:03, 4.56it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.71it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.79it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.85it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.87it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.75it/s] 50%|█████ | 8/16 [00:01<00:01, 4.80it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.84it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.83it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.86it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.81it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.82it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.86it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.85it/s] 100%|██████████| 16/16 [00:03<00:00, 4.82it/s] 100%|██████████| 16/16 [00:03<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.81it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.80it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.85it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.90it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.79it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.84it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.88it/s] 50%|█████ | 8/16 [00:01<00:01, 4.90it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.92it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.77it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.80it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.77it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.76it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.80it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.60it/s] 100%|██████████| 16/16 [00:03<00:00, 4.69it/s] 100%|██████████| 16/16 [00:03<00:00, 4.78it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:03, 4.85it/s] 12%|█▎ | 2/16 [00:00<00:02, 4.78it/s] 19%|█▉ | 3/16 [00:00<00:02, 4.84it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.85it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.73it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.76it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.73it/s] 50%|█████ | 8/16 [00:01<00:01, 4.78it/s] 56%|█████▋ | 9/16 [00:01<00:01, 4.79it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.65it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.68it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.71it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.77it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.77it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.75it/s] 100%|██████████| 16/16 [00:03<00:00, 4.79it/s] 100%|██████████| 16/16 [00:03<00:00, 4.76it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s Finished.