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Sexy Bellydancers with Picx
picx:v1.0
evevalentine2017
evevalentine2017
·
Jan 5
391
Input
prompt
Specify things to see in the output
upper body photo, (hdr:1.4), professional photograph of an cute arab woman, (solo), 80mm, tents landscape, moles skin, soft light, sharp, exposure, sexy, (beautiful belly dancer outfit), <lora:Girl_face_3:0.3>
negative_prompt
Specify things to not see in the output
nipples, doll, neon, cgi, oversaturated, deformed, distorted, disfigured, doll, poorly drawn, bad anatomy, wrong anatomy, moles
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.
2145439923
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
24
cfg_scale
Scale for classifier-free guidance
6
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>
Girl_face_3.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)
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/65d151c891ce448a91267ecb16c92f6c/00000-2145439923.webp
https://files.tungsten.run/uploads/1ae0c4f933b94dbd9d8e48e2a273a7dd/00001-2145439924.webp
https://files.tungsten.run/uploads/3a777bf15b31427797cb85a59daf4384/00002-2145439925.webp
https://files.tungsten.run/uploads/e3e71146b1e845a78dd2169c102a32ec/00003-2145439926.webp
Finished in 52.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: upper body photo, (hdr:1.4), professional photograph of an cute arab woman, (solo), 80mm, tents landscape, moles skin, soft light, sharp, exposure, sexy, (beautiful belly dancer outfit), <lora:Girl_face_3:0.3> Full negative prompt: nipples, doll, neon, cgi, oversaturated, deformed, distorted, disfigured, doll, poorly drawn, bad anatomy, wrong anatomy, moles 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:27, 1.19s/it] 8%|▊ | 2/24 [00:01<00:19, 1.14it/s] 12%|█▎ | 3/24 [00:02<00:16, 1.30it/s] 17%|█▋ | 4/24 [00:03<00:14, 1.38it/s] 21%|██ | 5/24 [00:03<00:13, 1.42it/s] 25%|██▌ | 6/24 [00:04<00:12, 1.46it/s] 29%|██▉ | 7/24 [00:05<00:11, 1.47it/s] 33%|███▎ | 8/24 [00:05<00:10, 1.48it/s] 38%|███▊ | 9/24 [00:06<00:10, 1.50it/s] 42%|████▏ | 10/24 [00:07<00:09, 1.50it/s] 46%|████▌ | 11/24 [00:07<00:08, 1.51it/s] 50%|█████ | 12/24 [00:08<00:07, 1.51it/s] 54%|█████▍ | 13/24 [00:09<00:07, 1.51it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.51it/s] 62%|██████▎ | 15/24 [00:10<00:05, 1.51it/s] 67%|██████▋ | 16/24 [00:11<00:05, 1.51it/s] 71%|███████ | 17/24 [00:11<00:04, 1.51it/s] 75%|███████▌ | 18/24 [00:12<00:03, 1.51it/s] 79%|███████▉ | 19/24 [00:13<00:03, 1.51it/s] 83%|████████▎ | 20/24 [00:13<00:02, 1.51it/s] 88%|████████▊ | 21/24 [00:14<00:01, 1.51it/s] 92%|█████████▏| 22/24 [00:15<00:01, 1.50it/s] 96%|█████████▌| 23/24 [00:15<00:00, 1.50it/s] 100%|██████████| 24/24 [00:16<00:00, 1.50it/s] 100%|██████████| 24/24 [00:16<00:00, 1.46it/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: 2.7ms preprocess, 7.4ms inference, 31.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 3.35it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.71it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.41it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.80it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.04it/s] 55%|█████▍ | 6/11 [00:01<00:00, 6.10it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.14it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.21it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.29it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.36it/s] 100%|██████████| 11/11 [00:01<00:00, 6.40it/s] 100%|██████████| 11/11 [00:01<00:00, 5.94it/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 0: 640x640 2 hands, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.85it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.63it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.56it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.52it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.52it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.45it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.38it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.38it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.39it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.39it/s] 100%|██████████| 11/11 [00:01<00:00, 6.41it/s] 100%|██████████| 11/11 [00:01<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.81it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.64it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.56it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.55it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.45it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.37it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.37it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.39it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.42it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.43it/s] 100%|██████████| 11/11 [00:01<00:00, 6.42it/s] 100%|██████████| 11/11 [00:01<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.94it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.65it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.57it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.52it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.51it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.41it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.32it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.32it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.36it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.37it/s] 100%|██████████| 11/11 [00:01<00:00, 6.40it/s] 100%|██████████| 11/11 [00:01<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.82it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.61it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.54it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.51it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.48it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.38it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.28it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.29it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.33it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.37it/s] 100%|██████████| 11/11 [00:01<00:00, 6.38it/s] 100%|██████████| 11/11 [00:01<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.78it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.57it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.50it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.50it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.48it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.38it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.29it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.27it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.32it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.35it/s] 100%|██████████| 11/11 [00:01<00:00, 6.38it/s] 100%|██████████| 11/11 [00:01<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.8ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.71it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.56it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.49it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.48it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.46it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.36it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.28it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.30it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.32it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.36it/s] 100%|██████████| 11/11 [00:01<00:00, 6.36it/s] 100%|██████████| 11/11 [00:01<00:00, 6.38it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.88it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.61it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.53it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.49it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.48it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.39it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.30it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.25it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.30it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.33it/s] 100%|██████████| 11/11 [00:01<00:00, 6.36it/s] 100%|██████████| 11/11 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.86it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.60it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.55it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.48it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.47it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.35it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.25it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.23it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.10it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.19it/s] 100%|██████████| 11/11 [00:01<00:00, 6.26it/s] 100%|██████████| 11/11 [00:01<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.54it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.49it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.45it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.44it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.31it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.22it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.23it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.26it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.30it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.28it/s] 100%|██████████| 11/11 [00:01<00:00, 6.25it/s] 100%|██████████| 11/11 [00:01<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
upper body photo, (hdr:1.4), professional photograph of an cute arab woman, (solo), 80mm, tents landscape, moles skin, soft light, sharp, exposure, sexy, (beautiful belly dancer outfit), <lora:Girl_face_3:0.3>
negative_prompt
Specify things to not see in the output
nipples, doll, neon, cgi, oversaturated, deformed, distorted, disfigured, doll, poorly drawn, bad anatomy, wrong anatomy, moles
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.
2145439923
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
24
cfg_scale
Scale for classifier-free guidance
6
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>
Girl_face_3.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)
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/65d151c891ce448a91267ecb16c92f6c/00000-2145439923.webp
https://files.tungsten.run/uploads/1ae0c4f933b94dbd9d8e48e2a273a7dd/00001-2145439924.webp
https://files.tungsten.run/uploads/3a777bf15b31427797cb85a59daf4384/00002-2145439925.webp
https://files.tungsten.run/uploads/e3e71146b1e845a78dd2169c102a32ec/00003-2145439926.webp
Finished in 52.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: upper body photo, (hdr:1.4), professional photograph of an cute arab woman, (solo), 80mm, tents landscape, moles skin, soft light, sharp, exposure, sexy, (beautiful belly dancer outfit), <lora:Girl_face_3:0.3> Full negative prompt: nipples, doll, neon, cgi, oversaturated, deformed, distorted, disfigured, doll, poorly drawn, bad anatomy, wrong anatomy, moles 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:27, 1.19s/it] 8%|▊ | 2/24 [00:01<00:19, 1.14it/s] 12%|█▎ | 3/24 [00:02<00:16, 1.30it/s] 17%|█▋ | 4/24 [00:03<00:14, 1.38it/s] 21%|██ | 5/24 [00:03<00:13, 1.42it/s] 25%|██▌ | 6/24 [00:04<00:12, 1.46it/s] 29%|██▉ | 7/24 [00:05<00:11, 1.47it/s] 33%|███▎ | 8/24 [00:05<00:10, 1.48it/s] 38%|███▊ | 9/24 [00:06<00:10, 1.50it/s] 42%|████▏ | 10/24 [00:07<00:09, 1.50it/s] 46%|████▌ | 11/24 [00:07<00:08, 1.51it/s] 50%|█████ | 12/24 [00:08<00:07, 1.51it/s] 54%|█████▍ | 13/24 [00:09<00:07, 1.51it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.51it/s] 62%|██████▎ | 15/24 [00:10<00:05, 1.51it/s] 67%|██████▋ | 16/24 [00:11<00:05, 1.51it/s] 71%|███████ | 17/24 [00:11<00:04, 1.51it/s] 75%|███████▌ | 18/24 [00:12<00:03, 1.51it/s] 79%|███████▉ | 19/24 [00:13<00:03, 1.51it/s] 83%|████████▎ | 20/24 [00:13<00:02, 1.51it/s] 88%|████████▊ | 21/24 [00:14<00:01, 1.51it/s] 92%|█████████▏| 22/24 [00:15<00:01, 1.50it/s] 96%|█████████▌| 23/24 [00:15<00:00, 1.50it/s] 100%|██████████| 24/24 [00:16<00:00, 1.50it/s] 100%|██████████| 24/24 [00:16<00:00, 1.46it/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: 2.7ms preprocess, 7.4ms inference, 31.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 3.35it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.71it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.41it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.80it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.04it/s] 55%|█████▍ | 6/11 [00:01<00:00, 6.10it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.14it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.21it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.29it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.36it/s] 100%|██████████| 11/11 [00:01<00:00, 6.40it/s] 100%|██████████| 11/11 [00:01<00:00, 5.94it/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 0: 640x640 2 hands, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.85it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.63it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.56it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.52it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.52it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.45it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.38it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.38it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.39it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.39it/s] 100%|██████████| 11/11 [00:01<00:00, 6.41it/s] 100%|██████████| 11/11 [00:01<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.81it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.64it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.56it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.55it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.45it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.37it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.37it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.39it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.42it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.43it/s] 100%|██████████| 11/11 [00:01<00:00, 6.42it/s] 100%|██████████| 11/11 [00:01<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.94it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.65it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.57it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.52it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.51it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.41it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.32it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.32it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.36it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.37it/s] 100%|██████████| 11/11 [00:01<00:00, 6.40it/s] 100%|██████████| 11/11 [00:01<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.82it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.61it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.54it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.51it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.48it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.38it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.28it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.29it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.33it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.37it/s] 100%|██████████| 11/11 [00:01<00:00, 6.38it/s] 100%|██████████| 11/11 [00:01<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.78it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.57it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.50it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.50it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.48it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.38it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.29it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.27it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.32it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.35it/s] 100%|██████████| 11/11 [00:01<00:00, 6.38it/s] 100%|██████████| 11/11 [00:01<00:00, 6.40it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.8ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.71it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.56it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.49it/s] 36%|███▋ | 4/11 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[00:01<00:00, 6.33it/s] 100%|██████████| 11/11 [00:01<00:00, 6.36it/s] 100%|██████████| 11/11 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.86it/s] 18%|█▊ | 2/11 [00:00<00:01, 6.60it/s] 27%|██▋ | 3/11 [00:00<00:01, 6.55it/s] 36%|███▋ | 4/11 [00:00<00:01, 6.48it/s] 45%|████▌ | 5/11 [00:00<00:00, 6.47it/s] 55%|█████▍ | 6/11 [00:00<00:00, 6.35it/s] 64%|██████▎ | 7/11 [00:01<00:00, 6.25it/s] 73%|███████▎ | 8/11 [00:01<00:00, 6.23it/s] 82%|████████▏ | 9/11 [00:01<00:00, 6.10it/s] 91%|█████████ | 10/11 [00:01<00:00, 6.19it/s] 100%|██████████| 11/11 [00:01<00:00, 6.26it/s] 100%|██████████| 11/11 [00:01<00:00, 6.32it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 6.54it/s] 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Finished.