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Girl Having a Walk with Light & Shadow
light-and-shadow:v1.0
evevalentine2017
evevalentine2017
·
12/17/2023
349
Input
prompt
Specify things to see in the output
Epic CG masterpiece, hdr, dtm, full ha, 8K, ultra-detailed graphic tension, dynamic poses, stunning colors, 3D rendering, surrealism, cinematic lighting effects, realism, 00 renderer, super realistic, full-body photos, super vista, super wide angle, HD (wide shot, wide-angle lens, Panoramic: 1.2), super vista, super wide angle, Low Angle shooting, super wide lens, Pirate (Mole under eye: 0.8), Milky skin, (shiny skin: 1.4), A mature face, sideways glance, (cold attitude, eyeshadow, eyeliner: 1.1), (red lips: 1.3), watery eyes, (full body: 1.5), A shot with tension (sky glows red, Visual impact, giving the poster a dynamic and visually striking appearance: 1.2), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(nsfw:1.3), bad_prompt_version2-neg, bad-hands-5 , EasyNegative V2, (worst quality:2), (low quality:2), (normal quality:2), lowres, watermark, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature,
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
false
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.
491181154
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++ 3M SDE Karras
samping_steps
Number of denoising steps
44
cfg_scale
Scale for classifier-free guidance
9
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.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)
bad_prompt_version2-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.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/b41e44f4ceb74917a4ecf1639287785a/00000-491181154.webp
https://files.tungsten.run/uploads/09d03f9f216e4e7d83a70039946be8ba/00001-491181155.webp
https://files.tungsten.run/uploads/e0282fcb4daf491181ea5b4999a1c89a/00002-491181156.webp
https://files.tungsten.run/uploads/56703607cb4a4292b392cd38d4e022f5/00003-491181157.webp
Finished in 129.8 seconds
v1.0: Pulling from evevalentine2017/light-and-shadow 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists 567087f804c2: Pull complete ed9d337c71da: Pull complete 1d1e6f58f0c7: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Epic CG masterpiece, hdr, dtm, full ha, 8K, ultra-detailed graphic tension, dynamic poses, stunning colors, 3D rendering, surrealism, cinematic lighting effects, realism, 00 renderer, super realistic, full-body photos, super vista, super wide angle, HD (wide shot, wide-angle lens, Panoramic: 1.2), super vista, super wide angle, Low Angle shooting, super wide lens, Pirate (Mole under eye: 0.8), Milky skin, (shiny skin: 1.4), A mature face, sideways glance, (cold attitude, eyeshadow, eyeliner: 1.1), (red lips: 1.3), watery eyes, (full body: 1.5), A shot with tension (sky glows red, Visual impact, giving the poster a dynamic and visually striking appearance: 1.2), <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: (nsfw:1.3), bad_prompt_version2-neg, bad-hands-5 , EasyNegative V2, (worst quality:2), (low quality:2), (normal quality:2), lowres, watermark, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, 0%| | 0/44 [00:00<?, ?it/s] 2%|▏ | 1/44 [00:01<01:24, 1.97s/it] 5%|▍ | 2/44 [00:03<01:15, 1.79s/it] 7%|▋ | 3/44 [00:05<01:14, 1.82s/it] 9%|▉ | 4/44 [00:07<01:11, 1.78s/it] 11%|█▏ | 5/44 [00:08<01:07, 1.74s/it] 14%|█▎ | 6/44 [00:10<01:06, 1.74s/it] 16%|█▌ | 7/44 [00:12<01:04, 1.75s/it] 18%|█▊ | 8/44 [00:14<01:04, 1.79s/it] 20%|██ | 9/44 [00:16<01:03, 1.80s/it] 23%|██▎ | 10/44 [00:17<01:00, 1.77s/it] 25%|██▌ | 11/44 [00:19<00:56, 1.72s/it] 27%|██▋ | 12/44 [00:20<00:53, 1.66s/it] 30%|██▉ | 13/44 [00:22<00:51, 1.67s/it] 32%|███▏ | 14/44 [00:24<00:50, 1.68s/it] 34%|███▍ | 15/44 [00:26<00:49, 1.71s/it] 36%|███▋ | 16/44 [00:27<00:47, 1.70s/it] 39%|███▊ | 17/44 [00:29<00:45, 1.70s/it] 41%|████ | 18/44 [00:31<00:44, 1.71s/it] 43%|████▎ | 19/44 [00:32<00:42, 1.69s/it] 45%|████▌ | 20/44 [00:34<00:39, 1.66s/it] 48%|████▊ | 21/44 [00:36<00:38, 1.66s/it] 50%|█████ | 22/44 [00:37<00:37, 1.68s/it] 52%|█████▏ | 23/44 [00:39<00:34, 1.66s/it] 55%|█████▍ | 24/44 [00:41<00:32, 1.65s/it] 57%|█████▋ | 25/44 [00:42<00:32, 1.70s/it] 59%|█████▉ | 26/44 [00:44<00:30, 1.67s/it] 61%|██████▏ | 27/44 [00:46<00:28, 1.67s/it] 64%|██████▎ | 28/44 [00:47<00:26, 1.64s/it] 66%|██████▌ | 29/44 [00:49<00:24, 1.65s/it] 68%|██████▊ | 30/44 [00:50<00:22, 1.60s/it] 70%|███████ | 31/44 [00:52<00:20, 1.61s/it] 73%|███████▎ | 32/44 [00:53<00:18, 1.57s/it] 75%|███████▌ | 33/44 [00:55<00:17, 1.59s/it] 77%|███████▋ | 34/44 [00:57<00:15, 1.58s/it] 80%|███████▉ | 35/44 [00:58<00:14, 1.62s/it] 82%|████████▏ | 36/44 [01:00<00:12, 1.57s/it] 84%|████████▍ | 37/44 [01:02<00:11, 1.61s/it] 86%|████████▋ | 38/44 [01:03<00:09, 1.55s/it] 89%|████████▊ | 39/44 [01:04<00:07, 1.50s/it] 91%|█████████ | 40/44 [01:06<00:05, 1.48s/it] 93%|█████████▎| 41/44 [01:07<00:04, 1.52s/it] 95%|█████████▌| 42/44 [01:09<00:02, 1.46s/it] 98%|█████████▊| 43/44 [01:09<00:01, 1.25s/it] 100%|██████████| 44/44 [01:10<00:00, 1.05s/it] 100%|██████████| 44/44 [01:10<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 9.1ms preprocess, 7.9ms inference, 38.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:15, 1.55it/s] 8%|▊ | 2/25 [00:01<00:12, 1.85it/s] 12%|█▏ | 3/25 [00:01<00:11, 1.94it/s] 16%|█▌ | 4/25 [00:02<00:10, 2.01it/s] 20%|██ | 5/25 [00:02<00:09, 2.10it/s] 24%|██▍ | 6/25 [00:03<00:09, 2.06it/s] 28%|██▊ | 7/25 [00:03<00:08, 2.12it/s] 32%|███▏ | 8/25 [00:03<00:08, 2.12it/s] 36%|███▌ | 9/25 [00:04<00:07, 2.15it/s] 40%|████ | 10/25 [00:04<00:06, 2.16it/s] 44%|████▍ | 11/25 [00:05<00:06, 2.22it/s] 48%|████▊ | 12/25 [00:05<00:05, 2.20it/s] 52%|█████▏ | 13/25 [00:06<00:05, 2.26it/s] 56%|█████▌ | 14/25 [00:06<00:04, 2.25it/s] 60%|██████ | 15/25 [00:07<00:04, 2.24it/s] 64%|██████▍ | 16/25 [00:07<00:04, 2.20it/s] 68%|██████▊ | 17/25 [00:07<00:03, 2.27it/s] 72%|███████▏ | 18/25 [00:08<00:03, 2.23it/s] 76%|███████▌ | 19/25 [00:08<00:02, 2.32it/s] 80%|████████ | 20/25 [00:09<00:02, 2.39it/s] 84%|████████▍ | 21/25 [00:09<00:01, 2.35it/s] 88%|████████▊ | 22/25 [00:10<00:01, 2.31it/s] 92%|█████████▏| 23/25 [00:10<00:00, 2.39it/s] 96%|█████████▌| 24/25 [00:10<00:00, 2.75it/s] 100%|██████████| 25/25 [00:10<00:00, 3.18it/s] 100%|██████████| 25/25 [00:10<00:00, 2.30it/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 0.44s Move latents to cpu... done in 0.22s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:10, 2.25it/s] 8%|▊ | 2/25 [00:00<00:10, 2.19it/s] 12%|█▏ | 3/25 [00:01<00:10, 2.10it/s] 16%|█▌ | 4/25 [00:01<00:09, 2.11it/s] 20%|██ | 5/25 [00:02<00:09, 2.14it/s] 24%|██▍ | 6/25 [00:02<00:09, 2.06it/s] 28%|██▊ | 7/25 [00:03<00:08, 2.08it/s] 32%|███▏ | 8/25 [00:03<00:08, 2.07it/s] 36%|███▌ | 9/25 [00:04<00:07, 2.13it/s] 40%|████ | 10/25 [00:04<00:07, 2.13it/s] 44%|████▍ | 11/25 [00:05<00:06, 2.16it/s] 48%|████▊ | 12/25 [00:05<00:05, 2.18it/s] 52%|█████▏ | 13/25 [00:06<00:05, 2.25it/s] 56%|█████▌ | 14/25 [00:06<00:04, 2.20it/s] 60%|██████ | 15/25 [00:06<00:04, 2.21it/s] 64%|██████▍ | 16/25 [00:07<00:04, 2.19it/s] 68%|██████▊ | 17/25 [00:07<00:03, 2.24it/s] 72%|███████▏ | 18/25 [00:08<00:03, 2.21it/s] 76%|███████▌ | 19/25 [00:08<00:02, 2.30it/s] 80%|████████ | 20/25 [00:09<00:02, 2.35it/s] 84%|████████▍ | 21/25 [00:09<00:01, 2.36it/s] 88%|████████▊ | 22/25 [00:10<00:01, 2.27it/s] 92%|█████████▏| 23/25 [00:10<00:00, 2.38it/s] 96%|█████████▌| 24/25 [00:10<00:00, 2.75it/s] 100%|██████████| 25/25 [00:10<00:00, 3.18it/s] 100%|██████████| 25/25 [00:10<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:10, 2.25it/s] 8%|▊ | 2/25 [00:00<00:10, 2.22it/s] 12%|█▏ | 3/25 [00:01<00:10, 2.11it/s] 16%|█▌ | 4/25 [00:01<00:09, 2.16it/s] 20%|██ | 5/25 [00:02<00:09, 2.19it/s] 24%|██▍ | 6/25 [00:02<00:08, 2.12it/s] 28%|██▊ | 7/25 [00:03<00:08, 2.13it/s] 32%|███▏ | 8/25 [00:03<00:07, 2.13it/s] 36%|███▌ | 9/25 [00:04<00:07, 2.15it/s] 40%|████ | 10/25 [00:04<00:06, 2.15it/s] 44%|████▍ | 11/25 [00:05<00:06, 2.19it/s] 48%|████▊ | 12/25 [00:05<00:05, 2.20it/s] 52%|█████▏ | 13/25 [00:05<00:05, 2.25it/s] 56%|█████▌ | 14/25 [00:06<00:04, 2.20it/s] 60%|██████ | 15/25 [00:06<00:04, 2.22it/s] 64%|██████▍ | 16/25 [00:07<00:04, 2.18it/s] 68%|██████▊ | 17/25 [00:07<00:03, 2.22it/s] 72%|███████▏ | 18/25 [00:08<00:03, 2.19it/s] 76%|███████▌ | 19/25 [00:08<00:02, 2.26it/s] 80%|████████ | 20/25 [00:09<00:02, 2.34it/s] 84%|████████▍ | 21/25 [00:09<00:01, 2.36it/s] 88%|████████▊ | 22/25 [00:09<00:01, 2.32it/s] 92%|█████████▏| 23/25 [00:10<00:00, 2.39it/s] 96%|█████████▌| 24/25 [00:10<00:00, 2.75it/s] 100%|██████████| 25/25 [00:10<00:00, 3.18it/s] 100%|██████████| 25/25 [00:10<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:11, 2.16it/s] 8%|▊ | 2/25 [00:00<00:10, 2.17it/s] 12%|█▏ | 3/25 [00:01<00:10, 2.10it/s] 16%|█▌ | 4/25 [00:01<00:09, 2.15it/s] 20%|██ | 5/25 [00:02<00:09, 2.18it/s] 24%|██▍ | 6/25 [00:02<00:08, 2.13it/s] 28%|██▊ | 7/25 [00:03<00:08, 2.17it/s] 32%|███▏ | 8/25 [00:03<00:07, 2.14it/s] 36%|███▌ | 9/25 [00:04<00:07, 2.18it/s] 40%|████ | 10/25 [00:04<00:06, 2.17it/s] 44%|████▍ | 11/25 [00:05<00:06, 2.22it/s] 48%|████▊ | 12/25 [00:05<00:06, 2.15it/s] 52%|█████▏ | 13/25 [00:05<00:05, 2.22it/s] 56%|█████▌ | 14/25 [00:06<00:04, 2.20it/s] 60%|██████ | 15/25 [00:06<00:04, 2.23it/s] 64%|██████▍ | 16/25 [00:07<00:04, 2.20it/s] 68%|██████▊ | 17/25 [00:07<00:03, 2.24it/s] 72%|███████▏ | 18/25 [00:08<00:03, 2.21it/s] 76%|███████▌ | 19/25 [00:08<00:02, 2.30it/s] 80%|████████ | 20/25 [00:09<00:02, 2.39it/s] 84%|████████▍ | 21/25 [00:09<00:01, 2.39it/s] 88%|████████▊ | 22/25 [00:09<00:01, 2.34it/s] 92%|█████████▏| 23/25 [00:10<00:00, 2.42it/s] 96%|█████████▌| 24/25 [00:10<00:00, 2.76it/s] 100%|██████████| 25/25 [00:10<00:00, 3.18it/s] 100%|██████████| 25/25 [00:10<00:00, 2.34it/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
Epic CG masterpiece, hdr, dtm, full ha, 8K, ultra-detailed graphic tension, dynamic poses, stunning colors, 3D rendering, surrealism, cinematic lighting effects, realism, 00 renderer, super realistic, full-body photos, super vista, super wide angle, HD (wide shot, wide-angle lens, Panoramic: 1.2), super vista, super wide angle, Low Angle shooting, super wide lens, Pirate (Mole under eye: 0.8), Milky skin, (shiny skin: 1.4), A mature face, sideways glance, (cold attitude, eyeshadow, eyeliner: 1.1), (red lips: 1.3), watery eyes, (full body: 1.5), A shot with tension (sky glows red, Visual impact, giving the poster a dynamic and visually striking appearance: 1.2), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(nsfw:1.3), bad_prompt_version2-neg, bad-hands-5 , EasyNegative V2, (worst quality:2), (low quality:2), (normal quality:2), lowres, watermark, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature,
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
false
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.
491181154
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++ 3M SDE Karras
samping_steps
Number of denoising steps
44
cfg_scale
Scale for classifier-free guidance
9
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.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)
bad_prompt_version2-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/b41e44f4ceb74917a4ecf1639287785a/00000-491181154.webp
https://files.tungsten.run/uploads/09d03f9f216e4e7d83a70039946be8ba/00001-491181155.webp
https://files.tungsten.run/uploads/e0282fcb4daf491181ea5b4999a1c89a/00002-491181156.webp
https://files.tungsten.run/uploads/56703607cb4a4292b392cd38d4e022f5/00003-491181157.webp
Finished in 129.8 seconds
v1.0: Pulling from evevalentine2017/light-and-shadow 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists 567087f804c2: Pull complete ed9d337c71da: Pull complete 1d1e6f58f0c7: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Epic CG masterpiece, hdr, dtm, full ha, 8K, ultra-detailed graphic tension, dynamic poses, stunning colors, 3D rendering, surrealism, cinematic lighting effects, realism, 00 renderer, super realistic, full-body photos, super vista, super wide angle, HD (wide shot, wide-angle lens, Panoramic: 1.2), super vista, super wide angle, Low Angle shooting, super wide lens, Pirate (Mole under eye: 0.8), Milky skin, (shiny skin: 1.4), A mature face, sideways glance, (cold attitude, eyeshadow, eyeliner: 1.1), (red lips: 1.3), watery eyes, (full body: 1.5), A shot with tension (sky glows red, Visual impact, giving the poster a dynamic and visually striking appearance: 1.2), <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: (nsfw:1.3), bad_prompt_version2-neg, bad-hands-5 , EasyNegative V2, (worst quality:2), (low quality:2), (normal quality:2), lowres, watermark, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, 0%| | 0/44 [00:00<?, ?it/s] 2%|▏ | 1/44 [00:01<01:24, 1.97s/it] 5%|▍ | 2/44 [00:03<01:15, 1.79s/it] 7%|▋ | 3/44 [00:05<01:14, 1.82s/it] 9%|▉ | 4/44 [00:07<01:11, 1.78s/it] 11%|█▏ | 5/44 [00:08<01:07, 1.74s/it] 14%|█▎ | 6/44 [00:10<01:06, 1.74s/it] 16%|█▌ | 7/44 [00:12<01:04, 1.75s/it] 18%|█▊ | 8/44 [00:14<01:04, 1.79s/it] 20%|██ | 9/44 [00:16<01:03, 1.80s/it] 23%|██▎ | 10/44 [00:17<01:00, 1.77s/it] 25%|██▌ | 11/44 [00:19<00:56, 1.72s/it] 27%|██▋ | 12/44 [00:20<00:53, 1.66s/it] 30%|██▉ | 13/44 [00:22<00:51, 1.67s/it] 32%|███▏ | 14/44 [00:24<00:50, 1.68s/it] 34%|███▍ | 15/44 [00:26<00:49, 1.71s/it] 36%|███▋ | 16/44 [00:27<00:47, 1.70s/it] 39%|███▊ | 17/44 [00:29<00:45, 1.70s/it] 41%|████ | 18/44 [00:31<00:44, 1.71s/it] 43%|████▎ | 19/44 [00:32<00:42, 1.69s/it] 45%|████▌ | 20/44 [00:34<00:39, 1.66s/it] 48%|████▊ | 21/44 [00:36<00:38, 1.66s/it] 50%|█████ | 22/44 [00:37<00:37, 1.68s/it] 52%|█████▏ | 23/44 [00:39<00:34, 1.66s/it] 55%|█████▍ | 24/44 [00:41<00:32, 1.65s/it] 57%|█████▋ | 25/44 [00:42<00:32, 1.70s/it] 59%|█████▉ | 26/44 [00:44<00:30, 1.67s/it] 61%|██████▏ | 27/44 [00:46<00:28, 1.67s/it] 64%|██████▎ | 28/44 [00:47<00:26, 1.64s/it] 66%|██████▌ | 29/44 [00:49<00:24, 1.65s/it] 68%|██████▊ | 30/44 [00:50<00:22, 1.60s/it] 70%|███████ | 31/44 [00:52<00:20, 1.61s/it] 73%|███████▎ | 32/44 [00:53<00:18, 1.57s/it] 75%|███████▌ | 33/44 [00:55<00:17, 1.59s/it] 77%|███████▋ | 34/44 [00:57<00:15, 1.58s/it] 80%|███████▉ | 35/44 [00:58<00:14, 1.62s/it] 82%|████████▏ | 36/44 [01:00<00:12, 1.57s/it] 84%|████████▍ | 37/44 [01:02<00:11, 1.61s/it] 86%|████████▋ | 38/44 [01:03<00:09, 1.55s/it] 89%|████████▊ | 39/44 [01:04<00:07, 1.50s/it] 91%|█████████ | 40/44 [01:06<00:05, 1.48s/it] 93%|█████████▎| 41/44 [01:07<00:04, 1.52s/it] 95%|█████████▌| 42/44 [01:09<00:02, 1.46s/it] 98%|█████████▊| 43/44 [01:09<00:01, 1.25s/it] 100%|██████████| 44/44 [01:10<00:00, 1.05s/it] 100%|██████████| 44/44 [01:10<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 9.1ms preprocess, 7.9ms inference, 38.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:15, 1.55it/s] 8%|▊ | 2/25 [00:01<00:12, 1.85it/s] 12%|█▏ | 3/25 [00:01<00:11, 1.94it/s] 16%|█▌ | 4/25 [00:02<00:10, 2.01it/s] 20%|██ | 5/25 [00:02<00:09, 2.10it/s] 24%|██▍ | 6/25 [00:03<00:09, 2.06it/s] 28%|██▊ | 7/25 [00:03<00:08, 2.12it/s] 32%|███▏ | 8/25 [00:03<00:08, 2.12it/s] 36%|███▌ | 9/25 [00:04<00:07, 2.15it/s] 40%|████ | 10/25 [00:04<00:06, 2.16it/s] 44%|████▍ | 11/25 [00:05<00:06, 2.22it/s] 48%|████▊ | 12/25 [00:05<00:05, 2.20it/s] 52%|█████▏ | 13/25 [00:06<00:05, 2.26it/s] 56%|█████▌ | 14/25 [00:06<00:04, 2.25it/s] 60%|██████ | 15/25 [00:07<00:04, 2.24it/s] 64%|██████▍ | 16/25 [00:07<00:04, 2.20it/s] 68%|██████▊ | 17/25 [00:07<00:03, 2.27it/s] 72%|███████▏ | 18/25 [00:08<00:03, 2.23it/s] 76%|███████▌ | 19/25 [00:08<00:02, 2.32it/s] 80%|████████ | 20/25 [00:09<00:02, 2.39it/s] 84%|████████▍ | 21/25 [00:09<00:01, 2.35it/s] 88%|████████▊ | 22/25 [00:10<00:01, 2.31it/s] 92%|█████████▏| 23/25 [00:10<00:00, 2.39it/s] 96%|█████████▌| 24/25 [00:10<00:00, 2.75it/s] 100%|██████████| 25/25 [00:10<00:00, 3.18it/s] 100%|██████████| 25/25 [00:10<00:00, 2.30it/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 0.44s Move latents to cpu... done in 0.22s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:10, 2.25it/s] 8%|▊ | 2/25 [00:00<00:10, 2.19it/s] 12%|█▏ | 3/25 [00:01<00:10, 2.10it/s] 16%|█▌ | 4/25 [00:01<00:09, 2.11it/s] 20%|██ | 5/25 [00:02<00:09, 2.14it/s] 24%|██▍ | 6/25 [00:02<00:09, 2.06it/s] 28%|██▊ | 7/25 [00:03<00:08, 2.08it/s] 32%|███▏ | 8/25 [00:03<00:08, 2.07it/s] 36%|███▌ | 9/25 [00:04<00:07, 2.13it/s] 40%|████ | 10/25 [00:04<00:07, 2.13it/s] 44%|████▍ | 11/25 [00:05<00:06, 2.16it/s] 48%|████▊ | 12/25 [00:05<00:05, 2.18it/s] 52%|█████▏ | 13/25 [00:06<00:05, 2.25it/s] 56%|█████▌ | 14/25 [00:06<00:04, 2.20it/s] 60%|██████ | 15/25 [00:06<00:04, 2.21it/s] 64%|██████▍ | 16/25 [00:07<00:04, 2.19it/s] 68%|██████▊ | 17/25 [00:07<00:03, 2.24it/s] 72%|███████▏ | 18/25 [00:08<00:03, 2.21it/s] 76%|███████▌ | 19/25 [00:08<00:02, 2.30it/s] 80%|████████ | 20/25 [00:09<00:02, 2.35it/s] 84%|████████▍ | 21/25 [00:09<00:01, 2.36it/s] 88%|████████▊ | 22/25 [00:10<00:01, 2.27it/s] 92%|█████████▏| 23/25 [00:10<00:00, 2.38it/s] 96%|█████████▌| 24/25 [00:10<00:00, 2.75it/s] 100%|██████████| 25/25 [00:10<00:00, 3.18it/s] 100%|██████████| 25/25 [00:10<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:10, 2.25it/s] 8%|▊ | 2/25 [00:00<00:10, 2.22it/s] 12%|█▏ | 3/25 [00:01<00:10, 2.11it/s] 16%|█▌ | 4/25 [00:01<00:09, 2.16it/s] 20%|██ | 5/25 [00:02<00:09, 2.19it/s] 24%|██▍ | 6/25 [00:02<00:08, 2.12it/s] 28%|██▊ | 7/25 [00:03<00:08, 2.13it/s] 32%|███▏ | 8/25 [00:03<00:07, 2.13it/s] 36%|███▌ | 9/25 [00:04<00:07, 2.15it/s] 40%|████ | 10/25 [00:04<00:06, 2.15it/s] 44%|████▍ | 11/25 [00:05<00:06, 2.19it/s] 48%|████▊ | 12/25 [00:05<00:05, 2.20it/s] 52%|█████▏ | 13/25 [00:05<00:05, 2.25it/s] 56%|█████▌ | 14/25 [00:06<00:04, 2.20it/s] 60%|██████ | 15/25 [00:06<00:04, 2.22it/s] 64%|██████▍ | 16/25 [00:07<00:04, 2.18it/s] 68%|██████▊ | 17/25 [00:07<00:03, 2.22it/s] 72%|███████▏ | 18/25 [00:08<00:03, 2.19it/s] 76%|███████▌ | 19/25 [00:08<00:02, 2.26it/s] 80%|████████ | 20/25 [00:09<00:02, 2.34it/s] 84%|████████▍ | 21/25 [00:09<00:01, 2.36it/s] 88%|████████▊ | 22/25 [00:09<00:01, 2.32it/s] 92%|█████████▏| 23/25 [00:10<00:00, 2.39it/s] 96%|█████████▌| 24/25 [00:10<00:00, 2.75it/s] 100%|██████████| 25/25 [00:10<00:00, 3.18it/s] 100%|██████████| 25/25 [00:10<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:11, 2.16it/s] 8%|▊ | 2/25 [00:00<00:10, 2.17it/s] 12%|█▏ | 3/25 [00:01<00:10, 2.10it/s] 16%|█▌ | 4/25 [00:01<00:09, 2.15it/s] 20%|██ | 5/25 [00:02<00:09, 2.18it/s] 24%|██▍ | 6/25 [00:02<00:08, 2.13it/s] 28%|██▊ | 7/25 [00:03<00:08, 2.17it/s] 32%|███▏ | 8/25 [00:03<00:07, 2.14it/s] 36%|███▌ | 9/25 [00:04<00:07, 2.18it/s] 40%|████ | 10/25 [00:04<00:06, 2.17it/s] 44%|████▍ | 11/25 [00:05<00:06, 2.22it/s] 48%|████▊ | 12/25 [00:05<00:06, 2.15it/s] 52%|█████▏ | 13/25 [00:05<00:05, 2.22it/s] 56%|█████▌ | 14/25 [00:06<00:04, 2.20it/s] 60%|██████ | 15/25 [00:06<00:04, 2.23it/s] 64%|██████▍ | 16/25 [00:07<00:04, 2.20it/s] 68%|██████▊ | 17/25 [00:07<00:03, 2.24it/s] 72%|███████▏ | 18/25 [00:08<00:03, 2.21it/s] 76%|███████▌ | 19/25 [00:08<00:02, 2.30it/s] 80%|████████ | 20/25 [00:09<00:02, 2.39it/s] 84%|████████▍ | 21/25 [00:09<00:01, 2.39it/s] 88%|████████▊ | 22/25 [00:09<00:01, 2.34it/s] 92%|█████████▏| 23/25 [00:10<00:00, 2.42it/s] 96%|█████████▌| 24/25 [00:10<00:00, 2.76it/s] 100%|██████████| 25/25 [00:10<00:00, 3.18it/s] 100%|██████████| 25/25 [00:10<00:00, 2.34it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.