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Blue Bikinis with Picx
picx:v1.0
evevalentine2017
evevalentine2017
·
Jan 5
369
Input
prompt
Specify things to see in the output
(masterpiece, high quality:1.3), a cute girl, brown short curly hair, blue swimsuit, (25 years old:1.2), petite, (thick hips, narrow waist:1.1), perfect medium tits, european, cheerfully smiling on the beach, (innocent, charming:1.1), sunny day, beach landscape, waves, warm colors, inviting expression, vibrant colors, <lora:Beautiful Character 4 Stable Yogi:0.8>
negative_prompt
Specify things to not see in the output
(bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
3396608464
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
29
cfg_scale
Scale for classifier-free guidance
8.5
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>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Beautiful Character 4 Stable Yogi.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)
negative_hand-neg.pt
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/7b310b221f904d51ac1a70e60ba2d3fe/00000-3396608464.webp
https://files.tungsten.run/uploads/56d82e3dc42c4e34a39a672b9aa7cee4/00001-3396608465.webp
https://files.tungsten.run/uploads/0cba002ca7204bc0826762c16d02ce54/00002-3396608466.webp
https://files.tungsten.run/uploads/293a70cad3ec47e6abe29a0fc0b910a4/00003-3396608467.webp
Finished in 54.9 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, high quality:1.3), a cute girl, brown short curly hair, blue swimsuit, (25 years old:1.2), petite, (thick hips, narrow waist:1.1), perfect medium tits, european, cheerfully smiling on the beach, (innocent, charming:1.1), sunny day, beach landscape, waves, warm colors, inviting expression, vibrant colors, <lora:Beautiful Character 4 Stable Yogi:0.8> Full negative prompt: (bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:01<00:33, 1.21s/it] 7%|▋ | 2/29 [00:01<00:24, 1.12it/s] 10%|█ | 3/29 [00:02<00:20, 1.27it/s] 14%|█▍ | 4/29 [00:03<00:18, 1.35it/s] 17%|█▋ | 5/29 [00:03<00:17, 1.40it/s] 21%|██ | 6/29 [00:04<00:16, 1.43it/s] 24%|██▍ | 7/29 [00:05<00:15, 1.45it/s] 28%|██▊ | 8/29 [00:05<00:14, 1.47it/s] 31%|███ | 9/29 [00:06<00:13, 1.48it/s] 34%|███▍ | 10/29 [00:07<00:12, 1.48it/s] 38%|███▊ | 11/29 [00:07<00:12, 1.49it/s] 41%|████▏ | 12/29 [00:08<00:11, 1.49it/s] 45%|████▍ | 13/29 [00:09<00:10, 1.49it/s] 48%|████▊ | 14/29 [00:09<00:10, 1.50it/s] 52%|█████▏ | 15/29 [00:10<00:09, 1.50it/s] 55%|█████▌ | 16/29 [00:11<00:08, 1.50it/s] 59%|█████▊ | 17/29 [00:11<00:07, 1.50it/s] 62%|██████▏ | 18/29 [00:12<00:07, 1.50it/s] 66%|██████▌ | 19/29 [00:13<00:06, 1.50it/s] 69%|██████▉ | 20/29 [00:13<00:05, 1.50it/s] 72%|███████▏ | 21/29 [00:14<00:05, 1.50it/s] 76%|███████▌ | 22/29 [00:15<00:04, 1.50it/s] 79%|███████▉ | 23/29 [00:15<00:03, 1.50it/s] 83%|████████▎ | 24/29 [00:16<00:03, 1.50it/s] 86%|████████▌ | 25/29 [00:17<00:02, 1.51it/s] 90%|████████▉ | 26/29 [00:17<00:01, 1.50it/s] 93%|█████████▎| 27/29 [00:18<00:01, 1.50it/s] 97%|█████████▋| 28/29 [00:19<00:00, 1.51it/s] 100%|██████████| 29/29 [00:19<00:00, 1.51it/s] 100%|██████████| 29/29 [00:19<00:00, 1.46it/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 1.71s Move latents to cpu... done in 0.02s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.47it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.82it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.49it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.88it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.11it/s] 43%|████▎ | 6/14 [00:01<00:01, 6.17it/s] 50%|█████ | 7/14 [00:01<00:01, 6.19it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.27it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.35it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.41it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.43it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.43it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.37it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.09it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.96it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.72it/s] 21%|██▏ | 3/14 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[00:01<00:00, 6.47it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.51it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.53it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.52it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.51it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.95it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.73it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.67it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.62it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.60it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.54it/s] 50%|█████ | 7/14 [00:01<00:01, 6.44it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.45it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.47it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.54it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.51it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.47it/s] 100%|██████████| 14/14 [00:02<00:00, 6.47it/s] 100%|██████████| 14/14 [00:02<00:00, 6.52it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 7.05it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.78it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.67it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.62it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.62it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.55it/s] 50%|█████ | 7/14 [00:01<00:01, 6.43it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.44it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.48it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.51it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.52it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] 100%|██████████| 14/14 [00:02<00:00, 6.52it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 7.00it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.74it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.67it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.65it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.62it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.54it/s] 50%|█████ | 7/14 [00:01<00:01, 6.45it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.45it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.49it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.52it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.56it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.54it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.47it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] 100%|██████████| 14/14 [00:02<00:00, 6.53it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.76it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.62it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.59it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.60it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.44it/s] 50%|█████ | 7/14 [00:01<00:01, 6.44it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.47it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.51it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.46it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.98it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.76it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.67it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.59it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.57it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.41it/s] 50%|█████ | 7/14 [00:01<00:01, 6.39it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.46it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.47it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.96it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.73it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.65it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.59it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.57it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.47it/s] 50%|█████ | 7/14 [00:01<00:01, 6.38it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.38it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.47it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.46it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.37it/s] 100%|██████████| 14/14 [00:02<00:00, 6.36it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.67it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.59it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.57it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.53it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.42it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.33it/s] 50%|█████ | 7/14 [00:01<00:01, 6.39it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.47it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.51it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.43it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.38it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterpiece, high quality:1.3), a cute girl, brown short curly hair, blue swimsuit, (25 years old:1.2), petite, (thick hips, narrow waist:1.1), perfect medium tits, european, cheerfully smiling on the beach, (innocent, charming:1.1), sunny day, beach landscape, waves, warm colors, inviting expression, vibrant colors, <lora:Beautiful Character 4 Stable Yogi:0.8>
negative_prompt
Specify things to not see in the output
(bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
3396608464
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
29
cfg_scale
Scale for classifier-free guidance
8.5
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>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Beautiful Character 4 Stable Yogi.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)
negative_hand-neg.pt
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/7b310b221f904d51ac1a70e60ba2d3fe/00000-3396608464.webp
https://files.tungsten.run/uploads/56d82e3dc42c4e34a39a672b9aa7cee4/00001-3396608465.webp
https://files.tungsten.run/uploads/0cba002ca7204bc0826762c16d02ce54/00002-3396608466.webp
https://files.tungsten.run/uploads/293a70cad3ec47e6abe29a0fc0b910a4/00003-3396608467.webp
Finished in 54.9 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, high quality:1.3), a cute girl, brown short curly hair, blue swimsuit, (25 years old:1.2), petite, (thick hips, narrow waist:1.1), perfect medium tits, european, cheerfully smiling on the beach, (innocent, charming:1.1), sunny day, beach landscape, waves, warm colors, inviting expression, vibrant colors, <lora:Beautiful Character 4 Stable Yogi:0.8> Full negative prompt: (bad quality, low quality:1.3), EasyNegativeV2, negative_hand-neg, (asian face, asian eyes, old, mature, curvy, busty, big tits, tall:1.3), tattoo 0%| | 0/29 [00:00<?, ?it/s] 3%|▎ | 1/29 [00:01<00:33, 1.21s/it] 7%|▋ | 2/29 [00:01<00:24, 1.12it/s] 10%|█ | 3/29 [00:02<00:20, 1.27it/s] 14%|█▍ | 4/29 [00:03<00:18, 1.35it/s] 17%|█▋ | 5/29 [00:03<00:17, 1.40it/s] 21%|██ | 6/29 [00:04<00:16, 1.43it/s] 24%|██▍ | 7/29 [00:05<00:15, 1.45it/s] 28%|██▊ | 8/29 [00:05<00:14, 1.47it/s] 31%|███ | 9/29 [00:06<00:13, 1.48it/s] 34%|███▍ | 10/29 [00:07<00:12, 1.48it/s] 38%|███▊ | 11/29 [00:07<00:12, 1.49it/s] 41%|████▏ | 12/29 [00:08<00:11, 1.49it/s] 45%|████▍ | 13/29 [00:09<00:10, 1.49it/s] 48%|████▊ | 14/29 [00:09<00:10, 1.50it/s] 52%|█████▏ | 15/29 [00:10<00:09, 1.50it/s] 55%|█████▌ | 16/29 [00:11<00:08, 1.50it/s] 59%|█████▊ | 17/29 [00:11<00:07, 1.50it/s] 62%|██████▏ | 18/29 [00:12<00:07, 1.50it/s] 66%|██████▌ | 19/29 [00:13<00:06, 1.50it/s] 69%|██████▉ | 20/29 [00:13<00:05, 1.50it/s] 72%|███████▏ | 21/29 [00:14<00:05, 1.50it/s] 76%|███████▌ | 22/29 [00:15<00:04, 1.50it/s] 79%|███████▉ | 23/29 [00:15<00:03, 1.50it/s] 83%|████████▎ | 24/29 [00:16<00:03, 1.50it/s] 86%|████████▌ | 25/29 [00:17<00:02, 1.51it/s] 90%|████████▉ | 26/29 [00:17<00:01, 1.50it/s] 93%|█████████▎| 27/29 [00:18<00:01, 1.50it/s] 97%|█████████▋| 28/29 [00:19<00:00, 1.51it/s] 100%|██████████| 29/29 [00:19<00:00, 1.51it/s] 100%|██████████| 29/29 [00:19<00:00, 1.46it/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 1.71s Move latents to cpu... done in 0.02s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.47it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.82it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.49it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.88it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.11it/s] 43%|████▎ | 6/14 [00:01<00:01, 6.17it/s] 50%|█████ | 7/14 [00:01<00:01, 6.19it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.27it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.35it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.41it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.43it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.43it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.37it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.09it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.96it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.72it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.64it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.59it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.57it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.51it/s] 50%|█████ | 7/14 [00:01<00:01, 6.41it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.46it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.51it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.51it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.95it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.74it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.66it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.62it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.61it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.51it/s] 50%|█████ | 7/14 [00:01<00:01, 6.43it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.44it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.47it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.51it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.53it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.52it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.51it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.95it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.73it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.67it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.62it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.60it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.54it/s] 50%|█████ | 7/14 [00:01<00:01, 6.44it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.45it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.47it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.54it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.51it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.47it/s] 100%|██████████| 14/14 [00:02<00:00, 6.47it/s] 100%|██████████| 14/14 [00:02<00:00, 6.52it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 7.05it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.78it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.67it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.62it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.62it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.55it/s] 50%|█████ | 7/14 [00:01<00:01, 6.43it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.44it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.48it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.51it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.52it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] 100%|██████████| 14/14 [00:02<00:00, 6.52it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 7.00it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.74it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.67it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.65it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.62it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.54it/s] 50%|█████ | 7/14 [00:01<00:01, 6.45it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.45it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.49it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.52it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.56it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.54it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.47it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] 100%|██████████| 14/14 [00:02<00:00, 6.53it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.76it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.62it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.59it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.60it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.44it/s] 50%|█████ | 7/14 [00:01<00:01, 6.44it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.47it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.51it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.46it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.98it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.76it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.67it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.59it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.57it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.41it/s] 50%|█████ | 7/14 [00:01<00:01, 6.39it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.46it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.47it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.96it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.73it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.65it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.59it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.57it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.47it/s] 50%|█████ | 7/14 [00:01<00:01, 6.38it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.38it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.47it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.46it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.37it/s] 100%|██████████| 14/14 [00:02<00:00, 6.36it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.67it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.59it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.57it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.53it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.42it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.33it/s] 50%|█████ | 7/14 [00:01<00:01, 6.39it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.47it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.51it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.43it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.38it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Uploading outputs... Finished.