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Egyptian Babe with Babes XL
babesxl:v3.0
sparks
sparks
·
Feb 7
387
Input
prompt
Specify things to see in the output
Egyptian sorceress performing ritual, gorgeous Egyptian woman, adult, black hair, blunt bangs, ([Emily Ratajkowski|faye reagan|Jessica Chastain]:0.9), sharp features, thick eyebrows, smoky makeup, (tanned skin, sun tanned skin:1.1), perfect body, large breasts, Egyptian fantasy armor, intricate designs, magical aesthetics, spells, magical runes, inside Egyptian temple, night, illuminated by torch light, intricate background, depth of field, dramatic lighting, rim light, light rays, colorful and aesthetic, masterpiece, best quality, dynamic angle, ultra high res, highly detailed skin, intricate details, visually stunning,
negative_prompt
Specify things to not see in the output
ugly, old, mutation, lowres, low quality, open mouth, teeth, doll, long neck, extra limbs, text, signature, artist name, bad anatomy, poorly drawn, malformed, deformed, blurry, out of focus, noise, dust
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1344
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3036367203
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
25
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.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>
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)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/97019ad439a0499288b018a0156cb30c/00000-3036367203.webp
https://files.tungsten.run/uploads/233b451c36254d1fb8cf668b6e8b2f9f/00001-3036367204.webp
https://files.tungsten.run/uploads/81eaba469ced42cbb8cfe11c74717a85/00002-3036367205.webp
Finished in 121.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Egyptian sorceress performing ritual, gorgeous Egyptian woman, adult, black hair, blunt bangs, ([Emily Ratajkowski|faye reagan|Jessica Chastain]:0.9), sharp features, thick eyebrows, smoky makeup, (tanned skin, sun tanned skin:1.1), perfect body, large breasts, Egyptian fantasy armor, intricate designs, magical aesthetics, spells, magical runes, inside Egyptian temple, night, illuminated by torch light, intricate background, depth of field, dramatic lighting, rim light, light rays, colorful and aesthetic, masterpiece, best quality, dynamic angle, ultra high res, highly detailed skin, intricate details, visually stunning,, <lora:add-detail-xl:1.0> Full negative prompt: ugly, old, mutation, lowres, low quality, open mouth, teeth, doll, long neck, extra limbs, text, signature, artist name, bad anatomy, poorly drawn, malformed, deformed, blurry, out of focus, noise, dust 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:03<01:16, 3.18s/it] 8%|▊ | 2/25 [00:04<00:51, 2.26s/it] 12%|█▏ | 3/25 [00:06<00:43, 1.98s/it] 16%|█▌ | 4/25 [00:08<00:38, 1.86s/it] 20%|██ | 5/25 [00:09<00:35, 1.79s/it] 24%|██▍ | 6/25 [00:11<00:33, 1.75s/it] 28%|██▊ | 7/25 [00:13<00:31, 1.73s/it] 32%|███▏ | 8/25 [00:14<00:29, 1.71s/it] 36%|███▌ | 9/25 [00:16<00:27, 1.71s/it] 40%|████ | 10/25 [00:18<00:25, 1.70s/it] 44%|████▍ | 11/25 [00:19<00:23, 1.70s/it] 48%|████▊ | 12/25 [00:21<00:22, 1.70s/it] 52%|█████▏ | 13/25 [00:23<00:20, 1.69s/it] 56%|█████▌ | 14/25 [00:24<00:18, 1.69s/it] 60%|██████ | 15/25 [00:26<00:16, 1.69s/it] 64%|██████▍ | 16/25 [00:28<00:15, 1.69s/it] 68%|██████▊ | 17/25 [00:30<00:13, 1.69s/it] 72%|███████▏ | 18/25 [00:31<00:11, 1.69s/it] 76%|███████▌ | 19/25 [00:33<00:10, 1.69s/it] 80%|████████ | 20/25 [00:35<00:08, 1.68s/it] 84%|████████▍ | 21/25 [00:36<00:06, 1.68s/it] 88%|████████▊ | 22/25 [00:38<00:05, 1.68s/it] 92%|█████████▏| 23/25 [00:40<00:03, 1.67s/it] 96%|█████████▌| 24/25 [00:41<00:01, 1.67s/it] 100%|██████████| 25/25 [00:43<00:00, 1.66s/it] 100%|██████████| 25/25 [00:43<00:00, 1.74s/it] Decoding latents in cuda:0... done in 3.23s Move latents to cpu... done in 0.04s 0: 640x512 1 face, 163.8ms Speed: 3.0ms preprocess, 163.8ms inference, 23.1ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:05, 1.32it/s] 25%|██▌ | 2/8 [00:01<00:04, 1.46it/s] 38%|███▊ | 3/8 [00:02<00:03, 1.51it/s] 50%|█████ | 4/8 [00:02<00:02, 1.54it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.55it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.54it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.55it/s] 100%|██████████| 8/8 [00:05<00:00, 1.56it/s] 100%|██████████| 8/8 [00:05<00:00, 1.53it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x512 2 hands, 100.7ms Speed: 2.6ms preprocess, 100.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.57it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.58it/s] 50%|█████ | 4/8 [00:02<00:02, 1.58it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.58it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.58it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.58it/s] 100%|██████████| 8/8 [00:05<00:00, 1.58it/s] 100%|██████████| 8/8 [00:05<00:00, 1.58it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.56it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.57it/s] 50%|█████ | 4/8 [00:02<00:02, 1.57it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.55it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.56it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.58it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.01s 0: 640x512 1 face, 9.8ms Speed: 2.7ms preprocess, 9.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.56it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.57it/s] 50%|█████ | 4/8 [00:02<00:02, 1.56it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.57it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.57it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] Decoding latents in cuda:0... done in 1.09s Move latents to cpu... done in 0.0s 0: 640x512 2 hands, 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.55it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.55it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.56it/s] 50%|█████ | 4/8 [00:02<00:02, 1.57it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.57it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.57it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.55it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.57it/s] 50%|█████ | 4/8 [00:02<00:02, 1.57it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.56it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.47it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.50it/s] 100%|██████████| 8/8 [00:05<00:00, 1.52it/s] 100%|██████████| 8/8 [00:05<00:00, 1.53it/s] Decoding latents in cuda:0... done in 1.09s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.1ms Speed: 2.6ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.57it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.56it/s] 50%|█████ | 4/8 [00:02<00:02, 1.56it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.57it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.56it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.56it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x512 1 hand, 7.4ms Speed: 2.5ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.57it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.57it/s] 50%|█████ | 4/8 [00:02<00:02, 1.58it/s] 62%|██████▎ | 5/8 [00:03<00:02, 1.41it/s] 75%|███████▌ | 6/8 [00:04<00:01, 1.13it/s] 88%|████████▊ | 7/8 [00:05<00:00, 1.00it/s] 100%|██████████| 8/8 [00:06<00:00, 1.02s/it] 100%|██████████| 8/8 [00:06<00:00, 1.16it/s] Decoding latents in cuda:0... done in 1.06s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Egyptian sorceress performing ritual, gorgeous Egyptian woman, adult, black hair, blunt bangs, ([Emily Ratajkowski|faye reagan|Jessica Chastain]:0.9), sharp features, thick eyebrows, smoky makeup, (tanned skin, sun tanned skin:1.1), perfect body, large breasts, Egyptian fantasy armor, intricate designs, magical aesthetics, spells, magical runes, inside Egyptian temple, night, illuminated by torch light, intricate background, depth of field, dramatic lighting, rim light, light rays, colorful and aesthetic, masterpiece, best quality, dynamic angle, ultra high res, highly detailed skin, intricate details, visually stunning,
negative_prompt
Specify things to not see in the output
ugly, old, mutation, lowres, low quality, open mouth, teeth, doll, long neck, extra limbs, text, signature, artist name, bad anatomy, poorly drawn, malformed, deformed, blurry, out of focus, noise, dust
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1344
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3036367203
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
25
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.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>
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)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/97019ad439a0499288b018a0156cb30c/00000-3036367203.webp
https://files.tungsten.run/uploads/233b451c36254d1fb8cf668b6e8b2f9f/00001-3036367204.webp
https://files.tungsten.run/uploads/81eaba469ced42cbb8cfe11c74717a85/00002-3036367205.webp
Finished in 121.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Egyptian sorceress performing ritual, gorgeous Egyptian woman, adult, black hair, blunt bangs, ([Emily Ratajkowski|faye reagan|Jessica Chastain]:0.9), sharp features, thick eyebrows, smoky makeup, (tanned skin, sun tanned skin:1.1), perfect body, large breasts, Egyptian fantasy armor, intricate designs, magical aesthetics, spells, magical runes, inside Egyptian temple, night, illuminated by torch light, intricate background, depth of field, dramatic lighting, rim light, light rays, colorful and aesthetic, masterpiece, best quality, dynamic angle, ultra high res, highly detailed skin, intricate details, visually stunning,, <lora:add-detail-xl:1.0> Full negative prompt: ugly, old, mutation, lowres, low quality, open mouth, teeth, doll, long neck, extra limbs, text, signature, artist name, bad anatomy, poorly drawn, malformed, deformed, blurry, out of focus, noise, dust 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:03<01:16, 3.18s/it] 8%|▊ | 2/25 [00:04<00:51, 2.26s/it] 12%|█▏ | 3/25 [00:06<00:43, 1.98s/it] 16%|█▌ | 4/25 [00:08<00:38, 1.86s/it] 20%|██ | 5/25 [00:09<00:35, 1.79s/it] 24%|██▍ | 6/25 [00:11<00:33, 1.75s/it] 28%|██▊ | 7/25 [00:13<00:31, 1.73s/it] 32%|███▏ | 8/25 [00:14<00:29, 1.71s/it] 36%|███▌ | 9/25 [00:16<00:27, 1.71s/it] 40%|████ | 10/25 [00:18<00:25, 1.70s/it] 44%|████▍ | 11/25 [00:19<00:23, 1.70s/it] 48%|████▊ | 12/25 [00:21<00:22, 1.70s/it] 52%|█████▏ | 13/25 [00:23<00:20, 1.69s/it] 56%|█████▌ | 14/25 [00:24<00:18, 1.69s/it] 60%|██████ | 15/25 [00:26<00:16, 1.69s/it] 64%|██████▍ | 16/25 [00:28<00:15, 1.69s/it] 68%|██████▊ | 17/25 [00:30<00:13, 1.69s/it] 72%|███████▏ | 18/25 [00:31<00:11, 1.69s/it] 76%|███████▌ | 19/25 [00:33<00:10, 1.69s/it] 80%|████████ | 20/25 [00:35<00:08, 1.68s/it] 84%|████████▍ | 21/25 [00:36<00:06, 1.68s/it] 88%|████████▊ | 22/25 [00:38<00:05, 1.68s/it] 92%|█████████▏| 23/25 [00:40<00:03, 1.67s/it] 96%|█████████▌| 24/25 [00:41<00:01, 1.67s/it] 100%|██████████| 25/25 [00:43<00:00, 1.66s/it] 100%|██████████| 25/25 [00:43<00:00, 1.74s/it] Decoding latents in cuda:0... done in 3.23s Move latents to cpu... done in 0.04s 0: 640x512 1 face, 163.8ms Speed: 3.0ms preprocess, 163.8ms inference, 23.1ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:05, 1.32it/s] 25%|██▌ | 2/8 [00:01<00:04, 1.46it/s] 38%|███▊ | 3/8 [00:02<00:03, 1.51it/s] 50%|█████ | 4/8 [00:02<00:02, 1.54it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.55it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.54it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.55it/s] 100%|██████████| 8/8 [00:05<00:00, 1.56it/s] 100%|██████████| 8/8 [00:05<00:00, 1.53it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x512 2 hands, 100.7ms Speed: 2.6ms preprocess, 100.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.57it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.58it/s] 50%|█████ | 4/8 [00:02<00:02, 1.58it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.58it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.58it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.58it/s] 100%|██████████| 8/8 [00:05<00:00, 1.58it/s] 100%|██████████| 8/8 [00:05<00:00, 1.58it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.56it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.57it/s] 50%|█████ | 4/8 [00:02<00:02, 1.57it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.55it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.56it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.58it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.01s 0: 640x512 1 face, 9.8ms Speed: 2.7ms preprocess, 9.8ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.56it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.57it/s] 50%|█████ | 4/8 [00:02<00:02, 1.56it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.57it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.57it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] Decoding latents in cuda:0... done in 1.09s Move latents to cpu... done in 0.0s 0: 640x512 2 hands, 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.55it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.55it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.56it/s] 50%|█████ | 4/8 [00:02<00:02, 1.57it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.57it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.57it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.55it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.57it/s] 50%|█████ | 4/8 [00:02<00:02, 1.57it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.56it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.47it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.50it/s] 100%|██████████| 8/8 [00:05<00:00, 1.52it/s] 100%|██████████| 8/8 [00:05<00:00, 1.53it/s] Decoding latents in cuda:0... done in 1.09s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.1ms Speed: 2.6ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.57it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.56it/s] 50%|█████ | 4/8 [00:02<00:02, 1.56it/s] 62%|██████▎ | 5/8 [00:03<00:01, 1.57it/s] 75%|███████▌ | 6/8 [00:03<00:01, 1.56it/s] 88%|████████▊ | 7/8 [00:04<00:00, 1.56it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] 100%|██████████| 8/8 [00:05<00:00, 1.57it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x512 1 hand, 7.4ms Speed: 2.5ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:04, 1.56it/s] 25%|██▌ | 2/8 [00:01<00:03, 1.57it/s] 38%|███▊ | 3/8 [00:01<00:03, 1.57it/s] 50%|█████ | 4/8 [00:02<00:02, 1.58it/s] 62%|██████▎ | 5/8 [00:03<00:02, 1.41it/s] 75%|███████▌ | 6/8 [00:04<00:01, 1.13it/s] 88%|████████▊ | 7/8 [00:05<00:00, 1.00it/s] 100%|██████████| 8/8 [00:06<00:00, 1.02s/it] 100%|██████████| 8/8 [00:06<00:00, 1.16it/s] Decoding latents in cuda:0... done in 1.06s Move latents to cpu... done in 0.0s Uploading outputs... Finished.