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Dryads with PhotoPedia XL
photopedia-xl:v4.5
evevalentine2017
evevalentine2017
·
Feb 7
378
Input
prompt
Specify things to see in the output
full body photo, bio-luminescence, vibrant, transparent body revealing intricate wooden bone structure, wooden skin looks more plant than human, vivid bioluminescent blood vessels giving off green light, twigs for hair extending out like a wooden crown, swirling green colors, nude female figure emerging from a tree, fireflies swarming, (setting sun:1.05), photorealistic lighting and cinematic lighting quality, (sharp focus), backlighting, photo realistic, a colorized photo, RAW format, 8K photorealistic image, superflat, 4k, ultra hd, high resolution, UHD, shot with a professional DSLR camera, professional, award-winning masterpiece with (sharp focus:1.2), (intricately detailed, hyperdetailed), HDR, (extremely detailed 8k wallpaper), high quality, intense, intricate, highly detailed, octane render, fine detail, ultra realistic, crisp, super sharp, studio quality, masterpiece, best quality, UHD, Film grain, trending on cg society
negative_prompt
Specify things to not see in the output
desaturated, (nipples:1.2), nsfw, (electric lights:1.2), (fire:1.2), windows, artifacts, decompression (watermark:1.2) ((3d, render, cg, painting, drawing, cartoon, anime, comic:0.6)), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name (long body), bad anatomy , liquid body, malformed, mutated, bad proportions, uncoordinated body, unnatural body, disfigured, ugly, gross proportions ,mutation, disfigured, deformed, (mutation), child, b&w, malformed eyes, ((poorly drawn face)), strabismus, cross-eye, heterochromia, (deformed iris), (deformed pupils),
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
316134716
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++ 2S a Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
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)
unaestheticXL2v10.safetensors
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/c7ef3475687f49aa83e3aa1fb9413387/00000-316134716.webp
https://files.tungsten.run/uploads/ecac5913f87c4452b02c51c172e2a63c/00001-316134717.webp
https://files.tungsten.run/uploads/8f1814b148dc4d67a13078cf458456eb/00002-316134718.webp
Finished in 133.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: full body photo, bio-luminescence, vibrant, transparent body revealing intricate wooden bone structure, wooden skin looks more plant than human, vivid bioluminescent blood vessels giving off green light, twigs for hair extending out like a wooden crown, swirling green colors, nude female figure emerging from a tree, fireflies swarming, (setting sun:1.05), photorealistic lighting and cinematic lighting quality, (sharp focus), backlighting, photo realistic, a colorized photo, RAW format, 8K photorealistic image, superflat, 4k, ultra hd, high resolution, UHD, shot with a professional DSLR camera, professional, award-winning masterpiece with (sharp focus:1.2), (intricately detailed, hyperdetailed), HDR, (extremely detailed 8k wallpaper), high quality, intense, intricate, highly detailed, octane render, fine detail, ultra realistic, crisp, super sharp, studio quality, masterpiece, best quality, UHD, Film grain, trending on cg society Full negative prompt: desaturated, (nipples:1.2), nsfw, (electric lights:1.2), (fire:1.2), windows, artifacts, decompression (watermark:1.2) ((3d, render, cg, painting, drawing, cartoon, anime, comic:0.6)), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name (long body), bad anatomy , liquid body, malformed, mutated, bad proportions, uncoordinated body, unnatural body, disfigured, ugly, gross proportions ,mutation, disfigured, deformed, (mutation), child, b&w, malformed eyes, ((poorly drawn face)), strabismus, cross-eye, heterochromia, (deformed iris), (deformed pupils), 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:17, 1.99s/it] 5%|▌ | 2/40 [00:03<01:15, 1.99s/it] 8%|▊ | 3/40 [00:05<01:13, 1.99s/it] 10%|█ | 4/40 [00:07<01:12, 2.00s/it] 12%|█▎ | 5/40 [00:09<01:10, 2.00s/it] 15%|█▌ | 6/40 [00:12<01:08, 2.01s/it] 18%|█▊ | 7/40 [00:14<01:06, 2.01s/it] 20%|██ | 8/40 [00:16<01:04, 2.02s/it] 22%|██▎ | 9/40 [00:18<01:02, 2.03s/it] 25%|██▌ | 10/40 [00:20<01:00, 2.03s/it] 28%|██▊ | 11/40 [00:22<00:59, 2.04s/it] 30%|███ | 12/40 [00:24<00:57, 2.04s/it] 32%|███▎ | 13/40 [00:26<00:55, 2.05s/it] 35%|███▌ | 14/40 [00:28<00:53, 2.05s/it] 38%|███▊ | 15/40 [00:30<00:51, 2.05s/it] 40%|████ | 16/40 [00:32<00:49, 2.05s/it] 42%|████▎ | 17/40 [00:34<00:47, 2.05s/it] 45%|████▌ | 18/40 [00:36<00:45, 2.05s/it] 48%|████▊ | 19/40 [00:38<00:43, 2.05s/it] 50%|█████ | 20/40 [00:40<00:40, 2.05s/it] 52%|█████▎ | 21/40 [00:42<00:38, 2.04s/it] 55%|█████▌ | 22/40 [00:44<00:36, 2.04s/it] 57%|█████▊ | 23/40 [00:46<00:34, 2.04s/it] 60%|██████ | 24/40 [00:48<00:32, 2.03s/it] 62%|██████▎ | 25/40 [00:50<00:30, 2.03s/it] 65%|██████▌ | 26/40 [00:52<00:28, 2.03s/it] 68%|██████▊ | 27/40 [00:54<00:26, 2.03s/it] 70%|███████ | 28/40 [00:56<00:24, 2.03s/it] 72%|███████▎ | 29/40 [00:58<00:22, 2.02s/it] 75%|███████▌ | 30/40 [01:00<00:20, 2.02s/it] 78%|███████▊ | 31/40 [01:02<00:18, 2.02s/it] 80%|████████ | 32/40 [01:04<00:16, 2.02s/it] 82%|████████▎ | 33/40 [01:06<00:14, 2.02s/it] 85%|████████▌ | 34/40 [01:08<00:12, 2.01s/it] 88%|████████▊ | 35/40 [01:10<00:10, 2.01s/it] 90%|█████████ | 36/40 [01:12<00:08, 2.01s/it] 92%|█████████▎| 37/40 [01:14<00:06, 2.01s/it] 95%|█████████▌| 38/40 [01:16<00:04, 2.01s/it] 98%|█████████▊| 39/40 [01:19<00:02, 2.01s/it] 100%|██████████| 40/40 [01:19<00:00, 1.71s/it] 100%|██████████| 40/40 [01:19<00:00, 2.00s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.01s 0: 480x640 1 face, 157.8ms Speed: 2.9ms preprocess, 157.8ms inference, 31.9ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.29it/s] 11%|█ | 2/19 [00:01<00:12, 1.41it/s] 16%|█▌ | 3/19 [00:02<00:11, 1.45it/s] 21%|██ | 4/19 [00:02<00:10, 1.47it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.49it/s] 32%|███▏ | 6/19 [00:04<00:08, 1.49it/s] 37%|███▋ | 7/19 [00:04<00:08, 1.48it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.49it/s] 47%|████▋ | 9/19 [00:06<00:06, 1.46it/s] 53%|█████▎ | 10/19 [00:06<00:06, 1.47it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.48it/s] 63%|██████▎ | 12/19 [00:08<00:04, 1.49it/s] 68%|██████▊ | 13/19 [00:08<00:04, 1.48it/s] 74%|███████▎ | 14/19 [00:09<00:03, 1.49it/s] 79%|███████▉ | 15/19 [00:10<00:02, 1.49it/s] 84%|████████▍ | 16/19 [00:10<00:02, 1.48it/s] 89%|████████▉ | 17/19 [00:11<00:01, 1.49it/s] 95%|█████████▍| 18/19 [00:12<00:00, 1.49it/s] 100%|██████████| 19/19 [00:12<00:00, 1.75it/s] 100%|██████████| 19/19 [00:12<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 7.9ms Speed: 2.6ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:12, 1.50it/s] 11%|█ | 2/19 [00:01<00:11, 1.49it/s] 16%|█▌ | 3/19 [00:02<00:10, 1.48it/s] 21%|██ | 4/19 [00:02<00:10, 1.48it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.48it/s] 32%|███▏ | 6/19 [00:04<00:08, 1.48it/s] 37%|███▋ | 7/19 [00:04<00:08, 1.49it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.49it/s] 47%|████▋ | 9/19 [00:06<00:06, 1.50it/s] 53%|█████▎ | 10/19 [00:06<00:06, 1.49it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.49it/s] 63%|██████▎ | 12/19 [00:08<00:04, 1.49it/s] 68%|██████▊ | 13/19 [00:08<00:04, 1.49it/s] 74%|███████▎ | 14/19 [00:09<00:03, 1.49it/s] 79%|███████▉ | 15/19 [00:10<00:02, 1.49it/s] 84%|████████▍ | 16/19 [00:10<00:02, 1.50it/s] 89%|████████▉ | 17/19 [00:11<00:01, 1.49it/s] 95%|█████████▍| 18/19 [00:12<00:00, 1.50it/s] 100%|██████████| 19/19 [00:12<00:00, 1.76it/s] 100%|██████████| 19/19 [00:12<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.53it/s] 11%|█ | 2/19 [00:01<00:11, 1.52it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.52it/s] 21%|██ | 4/19 [00:02<00:09, 1.51it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.50it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.49it/s] 37%|███▋ | 7/19 [00:04<00:08, 1.49it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.48it/s] 47%|████▋ | 9/19 [00:06<00:06, 1.47it/s] 53%|█████▎ | 10/19 [00:06<00:06, 1.48it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.47it/s] 63%|██████▎ | 12/19 [00:08<00:04, 1.48it/s] 68%|██████▊ | 13/19 [00:08<00:04, 1.48it/s] 74%|███████▎ | 14/19 [00:09<00:03, 1.48it/s] 79%|███████▉ | 15/19 [00:10<00:02, 1.48it/s] 84%|████████▍ | 16/19 [00:10<00:02, 1.49it/s] 89%|████████▉ | 17/19 [00:11<00:01, 1.48it/s] 95%|█████████▍| 18/19 [00:12<00:00, 1.48it/s] 100%|██████████| 19/19 [00:12<00:00, 1.75it/s] 100%|██████████| 19/19 [00:12<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
full body photo, bio-luminescence, vibrant, transparent body revealing intricate wooden bone structure, wooden skin looks more plant than human, vivid bioluminescent blood vessels giving off green light, twigs for hair extending out like a wooden crown, swirling green colors, nude female figure emerging from a tree, fireflies swarming, (setting sun:1.05), photorealistic lighting and cinematic lighting quality, (sharp focus), backlighting, photo realistic, a colorized photo, RAW format, 8K photorealistic image, superflat, 4k, ultra hd, high resolution, UHD, shot with a professional DSLR camera, professional, award-winning masterpiece with (sharp focus:1.2), (intricately detailed, hyperdetailed), HDR, (extremely detailed 8k wallpaper), high quality, intense, intricate, highly detailed, octane render, fine detail, ultra realistic, crisp, super sharp, studio quality, masterpiece, best quality, UHD, Film grain, trending on cg society
negative_prompt
Specify things to not see in the output
desaturated, (nipples:1.2), nsfw, (electric lights:1.2), (fire:1.2), windows, artifacts, decompression (watermark:1.2) ((3d, render, cg, painting, drawing, cartoon, anime, comic:0.6)), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name (long body), bad anatomy , liquid body, malformed, mutated, bad proportions, uncoordinated body, unnatural body, disfigured, ugly, gross proportions ,mutation, disfigured, deformed, (mutation), child, b&w, malformed eyes, ((poorly drawn face)), strabismus, cross-eye, heterochromia, (deformed iris), (deformed pupils),
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
316134716
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++ 2S a Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
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)
unaestheticXL2v10.safetensors
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/c7ef3475687f49aa83e3aa1fb9413387/00000-316134716.webp
https://files.tungsten.run/uploads/ecac5913f87c4452b02c51c172e2a63c/00001-316134717.webp
https://files.tungsten.run/uploads/8f1814b148dc4d67a13078cf458456eb/00002-316134718.webp
Finished in 133.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: full body photo, bio-luminescence, vibrant, transparent body revealing intricate wooden bone structure, wooden skin looks more plant than human, vivid bioluminescent blood vessels giving off green light, twigs for hair extending out like a wooden crown, swirling green colors, nude female figure emerging from a tree, fireflies swarming, (setting sun:1.05), photorealistic lighting and cinematic lighting quality, (sharp focus), backlighting, photo realistic, a colorized photo, RAW format, 8K photorealistic image, superflat, 4k, ultra hd, high resolution, UHD, shot with a professional DSLR camera, professional, award-winning masterpiece with (sharp focus:1.2), (intricately detailed, hyperdetailed), HDR, (extremely detailed 8k wallpaper), high quality, intense, intricate, highly detailed, octane render, fine detail, ultra realistic, crisp, super sharp, studio quality, masterpiece, best quality, UHD, Film grain, trending on cg society Full negative prompt: desaturated, (nipples:1.2), nsfw, (electric lights:1.2), (fire:1.2), windows, artifacts, decompression (watermark:1.2) ((3d, render, cg, painting, drawing, cartoon, anime, comic:0.6)), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name (long body), bad anatomy , liquid body, malformed, mutated, bad proportions, uncoordinated body, unnatural body, disfigured, ugly, gross proportions ,mutation, disfigured, deformed, (mutation), child, b&w, malformed eyes, ((poorly drawn face)), strabismus, cross-eye, heterochromia, (deformed iris), (deformed pupils), 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:17, 1.99s/it] 5%|▌ | 2/40 [00:03<01:15, 1.99s/it] 8%|▊ | 3/40 [00:05<01:13, 1.99s/it] 10%|█ | 4/40 [00:07<01:12, 2.00s/it] 12%|█▎ | 5/40 [00:09<01:10, 2.00s/it] 15%|█▌ | 6/40 [00:12<01:08, 2.01s/it] 18%|█▊ | 7/40 [00:14<01:06, 2.01s/it] 20%|██ | 8/40 [00:16<01:04, 2.02s/it] 22%|██▎ | 9/40 [00:18<01:02, 2.03s/it] 25%|██▌ | 10/40 [00:20<01:00, 2.03s/it] 28%|██▊ | 11/40 [00:22<00:59, 2.04s/it] 30%|███ | 12/40 [00:24<00:57, 2.04s/it] 32%|███▎ | 13/40 [00:26<00:55, 2.05s/it] 35%|███▌ | 14/40 [00:28<00:53, 2.05s/it] 38%|███▊ | 15/40 [00:30<00:51, 2.05s/it] 40%|████ | 16/40 [00:32<00:49, 2.05s/it] 42%|████▎ | 17/40 [00:34<00:47, 2.05s/it] 45%|████▌ | 18/40 [00:36<00:45, 2.05s/it] 48%|████▊ | 19/40 [00:38<00:43, 2.05s/it] 50%|█████ | 20/40 [00:40<00:40, 2.05s/it] 52%|█████▎ | 21/40 [00:42<00:38, 2.04s/it] 55%|█████▌ | 22/40 [00:44<00:36, 2.04s/it] 57%|█████▊ | 23/40 [00:46<00:34, 2.04s/it] 60%|██████ | 24/40 [00:48<00:32, 2.03s/it] 62%|██████▎ | 25/40 [00:50<00:30, 2.03s/it] 65%|██████▌ | 26/40 [00:52<00:28, 2.03s/it] 68%|██████▊ | 27/40 [00:54<00:26, 2.03s/it] 70%|███████ | 28/40 [00:56<00:24, 2.03s/it] 72%|███████▎ | 29/40 [00:58<00:22, 2.02s/it] 75%|███████▌ | 30/40 [01:00<00:20, 2.02s/it] 78%|███████▊ | 31/40 [01:02<00:18, 2.02s/it] 80%|████████ | 32/40 [01:04<00:16, 2.02s/it] 82%|████████▎ | 33/40 [01:06<00:14, 2.02s/it] 85%|████████▌ | 34/40 [01:08<00:12, 2.01s/it] 88%|████████▊ | 35/40 [01:10<00:10, 2.01s/it] 90%|█████████ | 36/40 [01:12<00:08, 2.01s/it] 92%|█████████▎| 37/40 [01:14<00:06, 2.01s/it] 95%|█████████▌| 38/40 [01:16<00:04, 2.01s/it] 98%|█████████▊| 39/40 [01:19<00:02, 2.01s/it] 100%|██████████| 40/40 [01:19<00:00, 1.71s/it] 100%|██████████| 40/40 [01:19<00:00, 2.00s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.01s 0: 480x640 1 face, 157.8ms Speed: 2.9ms preprocess, 157.8ms inference, 31.9ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.29it/s] 11%|█ | 2/19 [00:01<00:12, 1.41it/s] 16%|█▌ | 3/19 [00:02<00:11, 1.45it/s] 21%|██ | 4/19 [00:02<00:10, 1.47it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.49it/s] 32%|███▏ | 6/19 [00:04<00:08, 1.49it/s] 37%|███▋ | 7/19 [00:04<00:08, 1.48it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.49it/s] 47%|████▋ | 9/19 [00:06<00:06, 1.46it/s] 53%|█████▎ | 10/19 [00:06<00:06, 1.47it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.48it/s] 63%|██████▎ | 12/19 [00:08<00:04, 1.49it/s] 68%|██████▊ | 13/19 [00:08<00:04, 1.48it/s] 74%|███████▎ | 14/19 [00:09<00:03, 1.49it/s] 79%|███████▉ | 15/19 [00:10<00:02, 1.49it/s] 84%|████████▍ | 16/19 [00:10<00:02, 1.48it/s] 89%|████████▉ | 17/19 [00:11<00:01, 1.49it/s] 95%|█████████▍| 18/19 [00:12<00:00, 1.49it/s] 100%|██████████| 19/19 [00:12<00:00, 1.75it/s] 100%|██████████| 19/19 [00:12<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 7.9ms Speed: 2.6ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:12, 1.50it/s] 11%|█ | 2/19 [00:01<00:11, 1.49it/s] 16%|█▌ | 3/19 [00:02<00:10, 1.48it/s] 21%|██ | 4/19 [00:02<00:10, 1.48it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.48it/s] 32%|███▏ | 6/19 [00:04<00:08, 1.48it/s] 37%|███▋ | 7/19 [00:04<00:08, 1.49it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.49it/s] 47%|████▋ | 9/19 [00:06<00:06, 1.50it/s] 53%|█████▎ | 10/19 [00:06<00:06, 1.49it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.49it/s] 63%|██████▎ | 12/19 [00:08<00:04, 1.49it/s] 68%|██████▊ | 13/19 [00:08<00:04, 1.49it/s] 74%|███████▎ | 14/19 [00:09<00:03, 1.49it/s] 79%|███████▉ | 15/19 [00:10<00:02, 1.49it/s] 84%|████████▍ | 16/19 [00:10<00:02, 1.50it/s] 89%|████████▉ | 17/19 [00:11<00:01, 1.49it/s] 95%|█████████▍| 18/19 [00:12<00:00, 1.50it/s] 100%|██████████| 19/19 [00:12<00:00, 1.76it/s] 100%|██████████| 19/19 [00:12<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.53it/s] 11%|█ | 2/19 [00:01<00:11, 1.52it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.52it/s] 21%|██ | 4/19 [00:02<00:09, 1.51it/s] 26%|██▋ | 5/19 [00:03<00:09, 1.50it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.49it/s] 37%|███▋ | 7/19 [00:04<00:08, 1.49it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.48it/s] 47%|████▋ | 9/19 [00:06<00:06, 1.47it/s] 53%|█████▎ | 10/19 [00:06<00:06, 1.48it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.47it/s] 63%|██████▎ | 12/19 [00:08<00:04, 1.48it/s] 68%|██████▊ | 13/19 [00:08<00:04, 1.48it/s] 74%|███████▎ | 14/19 [00:09<00:03, 1.48it/s] 79%|███████▉ | 15/19 [00:10<00:02, 1.48it/s] 84%|████████▍ | 16/19 [00:10<00:02, 1.49it/s] 89%|████████▉ | 17/19 [00:11<00:01, 1.48it/s] 95%|█████████▍| 18/19 [00:12<00:00, 1.48it/s] 100%|██████████| 19/19 [00:12<00:00, 1.75it/s] 100%|██████████| 19/19 [00:12<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s Uploading outputs... Finished.