tungsten-logo
Sign In
Girl in a Desert with Mix Tape Blues
mix-tape-blues:b2d0816
evevalentine2017
evevalentine2017
·
12/16/2023
372
Input
prompt
Specify things to see in the output
(wide shot standing in front of Ancient Alien Ruins:1.3),full body wide angle cinematic shot,(in front of entrance to ancient ruin),surreal purple sky,(standing woman looking at glowing Alien Artefact:1.3),(pale, 24 years old, large covered breasts, cleavage, skinny waist, young european woman, futuristic fashionista:1.5),(Oval-shaped face, luminous complexion, aqua+ almond-shaped eyes, thin brows, small upturned nose, cupid's bow lips:1.2),(white hair in ponytail:1.3),(style of Frank Frazetta),interplanetary explorer,(vast alien desert landscape),swirling red-orange sands,two suns setting in the sky,((futuristic explorer outfit)),lightweight yet durable,heat-resistant material,sharp angular design,(vibrant shades of silver and blue),a variety of high-tech gadgets attached to the belt,rugged boots,(dynamic pose bracing against a gust of sand),mysterious alien ruins visible in the far distance,a sense of awe and determination, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
negative_prompt
Specify things to not see in the output
EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned),
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
0.55
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.
3728185043
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 SDE Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
8
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>
baby_face_v1.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.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)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.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/cac0513a446e463f89f4b57307a58205/00000-3728185043.webp
https://files.tungsten.run/uploads/b5d49a224be14bc0838c74e399a23217/00001-3728185044.webp
https://files.tungsten.run/uploads/9cf0b637037244c1b1910cf59e381e94/00002-3728185045.webp
https://files.tungsten.run/uploads/83dcd3fd543346038f86c8ef5f8665b1/00003-3728185046.webp
Finished in 185.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (wide shot standing in front of Ancient Alien Ruins:1.3),full body wide angle cinematic shot,(in front of entrance to ancient ruin),surreal purple sky,(standing woman looking at glowing Alien Artefact:1.3),(pale, 24 years old, large covered breasts, cleavage, skinny waist, young european woman, futuristic fashionista:1.5),(Oval-shaped face, luminous complexion, aqua+ almond-shaped eyes, thin brows, small upturned nose, cupid's bow lips:1.2),(white hair in ponytail:1.3),(style of Frank Frazetta),interplanetary explorer,(vast alien desert landscape),swirling red-orange sands,two suns setting in the sky,((futuristic explorer outfit)),lightweight yet durable,heat-resistant material,sharp angular design,(vibrant shades of silver and blue),a variety of high-tech gadgets attached to the belt,rugged boots,(dynamic pose bracing against a gust of sand),mysterious alien ruins visible in the far distance,a sense of awe and determination, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin Full negative prompt: EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned), 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:16, 1.95s/it] 5%|▌ | 2/40 [00:03<01:06, 1.74s/it] 8%|▊ | 3/40 [00:05<01:06, 1.80s/it] 10%|█ | 4/40 [00:07<01:06, 1.85s/it] 12%|█▎ | 5/40 [00:09<01:03, 1.83s/it] 15%|█▌ | 6/40 [00:10<01:02, 1.83s/it] 18%|█▊ | 7/40 [00:12<00:58, 1.78s/it] 20%|██ | 8/40 [00:14<00:55, 1.75s/it] 22%|██▎ | 9/40 [00:16<00:55, 1.79s/it] 25%|██▌ | 10/40 [00:17<00:53, 1.79s/it] 28%|██▊ | 11/40 [00:19<00:51, 1.79s/it] 30%|███ | 12/40 [00:21<00:49, 1.77s/it] 32%|███▎ | 13/40 [00:23<00:48, 1.79s/it] 35%|███▌ | 14/40 [00:25<00:46, 1.79s/it] 38%|███▊ | 15/40 [00:26<00:44, 1.78s/it] 40%|████ | 16/40 [00:28<00:41, 1.75s/it] 42%|████▎ | 17/40 [00:30<00:40, 1.76s/it] 45%|████▌ | 18/40 [00:32<00:38, 1.75s/it] 48%|████▊ | 19/40 [00:33<00:36, 1.75s/it] 50%|█████ | 20/40 [00:35<00:34, 1.73s/it] 52%|█████▎ | 21/40 [00:37<00:31, 1.67s/it] 55%|█████▌ | 22/40 [00:38<00:30, 1.68s/it] 57%|█████▊ | 23/40 [00:40<00:28, 1.69s/it] 60%|██████ | 24/40 [00:42<00:26, 1.67s/it] 62%|██████▎ | 25/40 [00:43<00:24, 1.64s/it] 65%|██████▌ | 26/40 [00:45<00:23, 1.69s/it] 68%|██████▊ | 27/40 [00:47<00:21, 1.67s/it] 70%|███████ | 28/40 [00:48<00:20, 1.68s/it] 72%|███████▎ | 29/40 [00:50<00:17, 1.61s/it] 75%|███████▌ | 30/40 [00:51<00:16, 1.62s/it] 78%|███████▊ | 31/40 [00:53<00:14, 1.63s/it] 80%|████████ | 32/40 [00:54<00:12, 1.56s/it] 82%|████████▎ | 33/40 [00:56<00:11, 1.57s/it] 85%|████████▌ | 34/40 [00:57<00:09, 1.51s/it] 88%|████████▊ | 35/40 [00:59<00:07, 1.55s/it] 90%|█████████ | 36/40 [01:00<00:06, 1.51s/it] 92%|█████████▎| 37/40 [01:02<00:04, 1.49s/it] 95%|█████████▌| 38/40 [01:03<00:02, 1.44s/it] 98%|█████████▊| 39/40 [01:04<00:01, 1.24s/it] 100%|██████████| 40/40 [01:05<00:00, 1.05s/it] 100%|██████████| 40/40 [01:05<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.5ms Speed: 3.8ms preprocess, 8.5ms inference, 24.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:15, 1.44it/s] 9%|▊ | 2/23 [00:01<00:11, 1.77it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.90it/s] 17%|█▋ | 4/23 [00:02<00:09, 2.04it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.07it/s] 26%|██▌ | 6/23 [00:03<00:08, 2.10it/s] 30%|███ | 7/23 [00:03<00:07, 2.15it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.15it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.15it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.23it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.22it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:07<00:03, 2.28it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.31it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.36it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.48it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.81it/s] 100%|██████████| 23/23 [00:09<00:00, 3.24it/s] 100%|██████████| 23/23 [00:09<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:10, 2.03it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.08it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.15it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.15it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.15it/s] 30%|███ | 7/23 [00:03<00:07, 2.17it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.20it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.13it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.11it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.11it/s] 52%|█████▏ | 12/23 [00:05<00:05, 2.19it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s] 61%|██████ | 14/23 [00:06<00:04, 2.17it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.25it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.22it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.32it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.29it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.34it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.38it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.43it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.77it/s] 100%|██████████| 23/23 [00:09<00:00, 3.20it/s] 100%|██████████| 23/23 [00:09<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.10it/s] 9%|▊ | 2/23 [00:00<00:10, 2.10it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.11it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.18it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.15it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.15it/s] 30%|███ | 7/23 [00:03<00:07, 2.17it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.13it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.14it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.10it/s] 52%|█████▏ | 12/23 [00:05<00:05, 2.19it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s] 61%|██████ | 14/23 [00:06<00:04, 2.19it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.27it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.37it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.31it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.38it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.47it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.80it/s] 100%|██████████| 23/23 [00:09<00:00, 3.22it/s] 100%|██████████| 23/23 [00:09<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.11it/s] 9%|▊ | 2/23 [00:00<00:09, 2.11it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.17it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.22it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.14it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.15it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.15it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.24it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.22it/s] 61%|██████ | 14/23 [00:06<00:04, 2.20it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.27it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.36it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.44it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.79it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:10, 2.08it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.13it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.21it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.18it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.14it/s] 30%|███ | 7/23 [00:03<00:07, 2.17it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.19it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.14it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.13it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.22it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s] 61%|██████ | 14/23 [00:06<00:04, 2.19it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.26it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.36it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.44it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.78it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.35it/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 1 face, 8.3ms Speed: 3.4ms preprocess, 8.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.15it/s] 9%|▊ | 2/23 [00:00<00:10, 2.10it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.20it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.19it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.15it/s] 30%|███ | 7/23 [00:03<00:07, 2.19it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.15it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.15it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.25it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.25it/s] 61%|██████ | 14/23 [00:06<00:04, 2.24it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.32it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.28it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.47it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.81it/s] 100%|██████████| 23/23 [00:09<00:00, 3.23it/s] 100%|██████████| 23/23 [00:09<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.12it/s] 9%|▊ | 2/23 [00:00<00:09, 2.13it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.11it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.21it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.19it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.20it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.25it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.18it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.19it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.18it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.25it/s] 61%|██████ | 14/23 [00:06<00:04, 2.23it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.33it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.78it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:11, 1.95it/s] 9%|▊ | 2/23 [00:00<00:10, 2.01it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.03it/s] 17%|█▋ | 4/23 [00:01<00:09, 2.10it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.11it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.12it/s] 30%|███ | 7/23 [00:03<00:07, 2.15it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.19it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.14it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.15it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.14it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.20it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s] 61%|██████ | 14/23 [00:06<00:04, 2.16it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.25it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.25it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.37it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.78it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.9ms preprocess, 7.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:11, 1.99it/s] 9%|▊ | 2/23 [00:00<00:10, 2.03it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.10it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.18it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.16it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.16it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.25it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.24it/s] 61%|██████ | 14/23 [00:06<00:04, 2.23it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.31it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.29it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.79it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.06it/s] 9%|▊ | 2/23 [00:00<00:10, 2.07it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.12it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.18it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.15it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.20it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.15it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.15it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.14it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.24it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.23it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.29it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.37it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.31it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.48it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.82it/s] 100%|██████████| 23/23 [00:09<00:00, 3.24it/s] 100%|██████████| 23/23 [00:09<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(wide shot standing in front of Ancient Alien Ruins:1.3),full body wide angle cinematic shot,(in front of entrance to ancient ruin),surreal purple sky,(standing woman looking at glowing Alien Artefact:1.3),(pale, 24 years old, large covered breasts, cleavage, skinny waist, young european woman, futuristic fashionista:1.5),(Oval-shaped face, luminous complexion, aqua+ almond-shaped eyes, thin brows, small upturned nose, cupid's bow lips:1.2),(white hair in ponytail:1.3),(style of Frank Frazetta),interplanetary explorer,(vast alien desert landscape),swirling red-orange sands,two suns setting in the sky,((futuristic explorer outfit)),lightweight yet durable,heat-resistant material,sharp angular design,(vibrant shades of silver and blue),a variety of high-tech gadgets attached to the belt,rugged boots,(dynamic pose bracing against a gust of sand),mysterious alien ruins visible in the far distance,a sense of awe and determination, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin
negative_prompt
Specify things to not see in the output
EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned),
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
0.55
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.
3728185043
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 SDE Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
8
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>
baby_face_v1.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.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)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/cac0513a446e463f89f4b57307a58205/00000-3728185043.webp
https://files.tungsten.run/uploads/b5d49a224be14bc0838c74e399a23217/00001-3728185044.webp
https://files.tungsten.run/uploads/9cf0b637037244c1b1910cf59e381e94/00002-3728185045.webp
https://files.tungsten.run/uploads/83dcd3fd543346038f86c8ef5f8665b1/00003-3728185046.webp
Finished in 185.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (wide shot standing in front of Ancient Alien Ruins:1.3),full body wide angle cinematic shot,(in front of entrance to ancient ruin),surreal purple sky,(standing woman looking at glowing Alien Artefact:1.3),(pale, 24 years old, large covered breasts, cleavage, skinny waist, young european woman, futuristic fashionista:1.5),(Oval-shaped face, luminous complexion, aqua+ almond-shaped eyes, thin brows, small upturned nose, cupid's bow lips:1.2),(white hair in ponytail:1.3),(style of Frank Frazetta),interplanetary explorer,(vast alien desert landscape),swirling red-orange sands,two suns setting in the sky,((futuristic explorer outfit)),lightweight yet durable,heat-resistant material,sharp angular design,(vibrant shades of silver and blue),a variety of high-tech gadgets attached to the belt,rugged boots,(dynamic pose bracing against a gust of sand),mysterious alien ruins visible in the far distance,a sense of awe and determination, <lora:baby_face_v1:0.4>, <lora:more_details:0.9>, volumetric light, shiny skin Full negative prompt: EasyNegativeV2, (bad-hands-5), bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned), 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:16, 1.95s/it] 5%|▌ | 2/40 [00:03<01:06, 1.74s/it] 8%|▊ | 3/40 [00:05<01:06, 1.80s/it] 10%|█ | 4/40 [00:07<01:06, 1.85s/it] 12%|█▎ | 5/40 [00:09<01:03, 1.83s/it] 15%|█▌ | 6/40 [00:10<01:02, 1.83s/it] 18%|█▊ | 7/40 [00:12<00:58, 1.78s/it] 20%|██ | 8/40 [00:14<00:55, 1.75s/it] 22%|██▎ | 9/40 [00:16<00:55, 1.79s/it] 25%|██▌ | 10/40 [00:17<00:53, 1.79s/it] 28%|██▊ | 11/40 [00:19<00:51, 1.79s/it] 30%|███ | 12/40 [00:21<00:49, 1.77s/it] 32%|███▎ | 13/40 [00:23<00:48, 1.79s/it] 35%|███▌ | 14/40 [00:25<00:46, 1.79s/it] 38%|███▊ | 15/40 [00:26<00:44, 1.78s/it] 40%|████ | 16/40 [00:28<00:41, 1.75s/it] 42%|████▎ | 17/40 [00:30<00:40, 1.76s/it] 45%|████▌ | 18/40 [00:32<00:38, 1.75s/it] 48%|████▊ | 19/40 [00:33<00:36, 1.75s/it] 50%|█████ | 20/40 [00:35<00:34, 1.73s/it] 52%|█████▎ | 21/40 [00:37<00:31, 1.67s/it] 55%|█████▌ | 22/40 [00:38<00:30, 1.68s/it] 57%|█████▊ | 23/40 [00:40<00:28, 1.69s/it] 60%|██████ | 24/40 [00:42<00:26, 1.67s/it] 62%|██████▎ | 25/40 [00:43<00:24, 1.64s/it] 65%|██████▌ | 26/40 [00:45<00:23, 1.69s/it] 68%|██████▊ | 27/40 [00:47<00:21, 1.67s/it] 70%|███████ | 28/40 [00:48<00:20, 1.68s/it] 72%|███████▎ | 29/40 [00:50<00:17, 1.61s/it] 75%|███████▌ | 30/40 [00:51<00:16, 1.62s/it] 78%|███████▊ | 31/40 [00:53<00:14, 1.63s/it] 80%|████████ | 32/40 [00:54<00:12, 1.56s/it] 82%|████████▎ | 33/40 [00:56<00:11, 1.57s/it] 85%|████████▌ | 34/40 [00:57<00:09, 1.51s/it] 88%|████████▊ | 35/40 [00:59<00:07, 1.55s/it] 90%|█████████ | 36/40 [01:00<00:06, 1.51s/it] 92%|█████████▎| 37/40 [01:02<00:04, 1.49s/it] 95%|█████████▌| 38/40 [01:03<00:02, 1.44s/it] 98%|█████████▊| 39/40 [01:04<00:01, 1.24s/it] 100%|██████████| 40/40 [01:05<00:00, 1.05s/it] 100%|██████████| 40/40 [01:05<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.5ms Speed: 3.8ms preprocess, 8.5ms inference, 24.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:15, 1.44it/s] 9%|▊ | 2/23 [00:01<00:11, 1.77it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.90it/s] 17%|█▋ | 4/23 [00:02<00:09, 2.04it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.07it/s] 26%|██▌ | 6/23 [00:03<00:08, 2.10it/s] 30%|███ | 7/23 [00:03<00:07, 2.15it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.15it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.15it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.23it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.22it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:07<00:03, 2.28it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.31it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.36it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.48it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.81it/s] 100%|██████████| 23/23 [00:09<00:00, 3.24it/s] 100%|██████████| 23/23 [00:09<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:10, 2.03it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.08it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.15it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.15it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.15it/s] 30%|███ | 7/23 [00:03<00:07, 2.17it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.20it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.13it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.11it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.11it/s] 52%|█████▏ | 12/23 [00:05<00:05, 2.19it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s] 61%|██████ | 14/23 [00:06<00:04, 2.17it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.25it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.22it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.32it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.29it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.34it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.38it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.43it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.77it/s] 100%|██████████| 23/23 [00:09<00:00, 3.20it/s] 100%|██████████| 23/23 [00:09<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.10it/s] 9%|▊ | 2/23 [00:00<00:10, 2.10it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.11it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.18it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.15it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.15it/s] 30%|███ | 7/23 [00:03<00:07, 2.17it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.13it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.14it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.10it/s] 52%|█████▏ | 12/23 [00:05<00:05, 2.19it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s] 61%|██████ | 14/23 [00:06<00:04, 2.19it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.27it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.37it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.31it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.38it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.47it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.80it/s] 100%|██████████| 23/23 [00:09<00:00, 3.22it/s] 100%|██████████| 23/23 [00:09<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.11it/s] 9%|▊ | 2/23 [00:00<00:09, 2.11it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.17it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.22it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.14it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.15it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.15it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.24it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.22it/s] 61%|██████ | 14/23 [00:06<00:04, 2.20it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.27it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.36it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.44it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.79it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.09it/s] 9%|▊ | 2/23 [00:00<00:10, 2.08it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.13it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.21it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.18it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.14it/s] 30%|███ | 7/23 [00:03<00:07, 2.17it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.19it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.14it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.13it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.22it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s] 61%|██████ | 14/23 [00:06<00:04, 2.19it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.27it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.26it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.36it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.44it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.78it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.35it/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 1 face, 8.3ms Speed: 3.4ms preprocess, 8.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.15it/s] 9%|▊ | 2/23 [00:00<00:10, 2.10it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.20it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.19it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.15it/s] 30%|███ | 7/23 [00:03<00:07, 2.19it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.15it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.15it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.25it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.25it/s] 61%|██████ | 14/23 [00:06<00:04, 2.24it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.32it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.28it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.47it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.81it/s] 100%|██████████| 23/23 [00:09<00:00, 3.23it/s] 100%|██████████| 23/23 [00:09<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.12it/s] 9%|▊ | 2/23 [00:00<00:09, 2.13it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.11it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.21it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.19it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.20it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.25it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.18it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.19it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.18it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.25it/s] 61%|██████ | 14/23 [00:06<00:04, 2.23it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.33it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.78it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:11, 1.95it/s] 9%|▊ | 2/23 [00:00<00:10, 2.01it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.03it/s] 17%|█▋ | 4/23 [00:01<00:09, 2.10it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.11it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.12it/s] 30%|███ | 7/23 [00:03<00:07, 2.15it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.19it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.14it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.15it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.14it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.20it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.19it/s] 61%|██████ | 14/23 [00:06<00:04, 2.16it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.25it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.25it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:09<00:01, 2.37it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.78it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.9ms preprocess, 7.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:11, 1.99it/s] 9%|▊ | 2/23 [00:00<00:10, 2.03it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.10it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.18it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.16it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.16it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.25it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.24it/s] 61%|██████ | 14/23 [00:06<00:04, 2.23it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.31it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.29it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.38it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.40it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.45it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.79it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.06it/s] 9%|▊ | 2/23 [00:00<00:10, 2.07it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.12it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.18it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.15it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.20it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.15it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.15it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.14it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.24it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.23it/s] 61%|██████ | 14/23 [00:06<00:04, 2.22it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.29it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.37it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.31it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.39it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.48it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.82it/s] 100%|██████████| 23/23 [00:09<00:00, 3.24it/s] 100%|██████████| 23/23 [00:09<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.