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Golden Outfits with AI-OS
ai-os:v1.0
evevalentine2017
evevalentine2017
·
12/25/2023
355
Input
prompt
Specify things to see in the output
((Cowboy shot:1.5)), breathtaking photo of pure femininity, highlighting unparalleled beauty, captivating eyes, and skillful makeup with blush. The scene is adorned with intricate details, and the harmonious background creates a perfect balance. (Breathtaking portrait of pure femininity:1.4), (Unparalleled beauty with incredible eyes:1.3), (Skillful makeup with blush:1.4), (Adorned with intricate details:1.3), (Harmonious background for perfect balance:1.4), HDR. Inspired by captivating portrayals of femininity, this image emphasizes beauty, mesmerizing eyes, skillful makeup, and a harmonious background with intricate details, ((ultra detailed handbag:1.5)), ((golden dress)). 4K UHD image, Cinematic view, Photorealistic, High-definition, Intricate, Sharp, Ultra-detailed, Crisp, volumetric light, shiny skin, glossy skin, <lora:add_detail:0.8>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
((portrait:2)), focus on face, nsfw, (photorealistic:1.2) and (3d rendering:1.2) and (worst quality:2) and (low quality:2) and (normal quality:2) and (bad anatomy) and (depth of field:1.4) and (bokeh:1.4) and (blurry:1.4), bad-hands-5
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
0.45
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3285422615
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
42
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
ClearVAE_V2.3_fp16.pt
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
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-hands-5.pt
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/a8a955d80b0646b28dae16e92f1fb514/00000-3285422615.webp
https://files.tungsten.run/uploads/57081b99323e450b9303db561bfeb6e9/00001-3285422616.webp
https://files.tungsten.run/uploads/2483da35a3744268a3c6e804cb8f7c1d/00002-3285422617.webp
https://files.tungsten.run/uploads/61f37e5ca46f456fb139cbce2e071425/00003-3285422618.webp
Finished in 62.8 seconds
v1.0: Pulling from evevalentine2017/ai-os 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 3a5f2da1e2b4: Pull complete 2513e59bab2e: Pull complete 4ab60127736b: Pull complete d119b66859f8: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: ((Cowboy shot:1.5)), breathtaking photo of pure femininity, highlighting unparalleled beauty, captivating eyes, and skillful makeup with blush. The scene is adorned with intricate details, and the harmonious background creates a perfect balance. (Breathtaking portrait of pure femininity:1.4), (Unparalleled beauty with incredible eyes:1.3), (Skillful makeup with blush:1.4), (Adorned with intricate details:1.3), (Harmonious background for perfect balance:1.4), HDR. Inspired by captivating portrayals of femininity, this image emphasizes beauty, mesmerizing eyes, skillful makeup, and a harmonious background with intricate details, ((ultra detailed handbag:1.5)), ((golden dress)). 4K UHD image, Cinematic view, Photorealistic, High-definition, Intricate, Sharp, Ultra-detailed, Crisp, volumetric light, shiny skin, glossy skin, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:0.45> Full negative prompt: ((portrait:2)), focus on face, nsfw, (photorealistic:1.2) and (3d rendering:1.2) and (worst quality:2) and (low quality:2) and (normal quality:2) and (bad anatomy) and (depth of field:1.4) and (bokeh:1.4) and (blurry:1.4), bad-hands-5 0%| | 0/42 [00:00<?, ?it/s] 2%|▏ | 1/42 [00:01<00:51, 1.25s/it] 5%|▍ | 2/42 [00:01<00:35, 1.13it/s] 7%|▋ | 3/42 [00:02<00:29, 1.30it/s] 10%|▉ | 4/42 [00:03<00:27, 1.39it/s] 12%|█▏ | 5/42 [00:03<00:25, 1.46it/s] 14%|█▍ | 6/42 [00:04<00:24, 1.49it/s] 17%|█▋ | 7/42 [00:05<00:23, 1.52it/s] 19%|█▉ | 8/42 [00:05<00:22, 1.53it/s] 21%|██▏ | 9/42 [00:06<00:21, 1.54it/s] 24%|██▍ | 10/42 [00:06<00:20, 1.55it/s] 26%|██▌ | 11/42 [00:07<00:19, 1.55it/s] 29%|██▊ | 12/42 [00:08<00:19, 1.55it/s] 31%|███ | 13/42 [00:08<00:18, 1.56it/s] 33%|███▎ | 14/42 [00:09<00:17, 1.56it/s] 36%|███▌ | 15/42 [00:10<00:17, 1.56it/s] 38%|███▊ | 16/42 [00:10<00:16, 1.56it/s] 40%|████ | 17/42 [00:11<00:16, 1.56it/s] 43%|████▎ | 18/42 [00:12<00:15, 1.56it/s] 45%|████▌ | 19/42 [00:12<00:14, 1.56it/s] 48%|████▊ | 20/42 [00:13<00:14, 1.56it/s] 50%|█████ | 21/42 [00:14<00:13, 1.56it/s] 52%|█████▏ | 22/42 [00:14<00:12, 1.56it/s] 55%|█████▍ | 23/42 [00:15<00:12, 1.55it/s] 57%|█████▋ | 24/42 [00:15<00:11, 1.56it/s] 60%|█████▉ | 25/42 [00:16<00:10, 1.56it/s] 62%|██████▏ | 26/42 [00:17<00:10, 1.56it/s] 64%|██████▍ | 27/42 [00:17<00:09, 1.55it/s] 67%|██████▋ | 28/42 [00:18<00:09, 1.55it/s] 69%|██████▉ | 29/42 [00:19<00:08, 1.55it/s] 71%|███████▏ | 30/42 [00:19<00:07, 1.55it/s] 74%|███████▍ | 31/42 [00:20<00:07, 1.55it/s] 76%|███████▌ | 32/42 [00:21<00:06, 1.55it/s] 79%|███████▊ | 33/42 [00:21<00:05, 1.55it/s] 81%|████████ | 34/42 [00:22<00:05, 1.55it/s] 83%|████████▎ | 35/42 [00:23<00:04, 1.55it/s] 86%|████████▌ | 36/42 [00:23<00:03, 1.55it/s] 88%|████████▊ | 37/42 [00:24<00:03, 1.55it/s] 90%|█████████ | 38/42 [00:24<00:02, 1.55it/s] 93%|█████████▎| 39/42 [00:25<00:01, 1.55it/s] 95%|█████████▌| 40/42 [00:26<00:01, 1.55it/s] 98%|█████████▊| 41/42 [00:26<00:00, 1.55it/s] 100%|██████████| 42/42 [00:27<00:00, 1.55it/s] 100%|██████████| 42/42 [00:27<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 4.2ms preprocess, 7.6ms inference, 31.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:09, 2.51it/s] 8%|▊ | 2/24 [00:00<00:06, 3.57it/s] 12%|█▎ | 3/24 [00:00<00:05, 4.07it/s] 17%|█▋ | 4/24 [00:00<00:04, 4.41it/s] 21%|██ | 5/24 [00:01<00:04, 4.62it/s] 25%|██▌ | 6/24 [00:01<00:03, 4.75it/s] 29%|██▉ | 7/24 [00:01<00:03, 4.86it/s] 33%|███▎ | 8/24 [00:01<00:03, 4.93it/s] 38%|███▊ | 9/24 [00:01<00:03, 4.96it/s] 42%|████▏ | 10/24 [00:02<00:02, 4.99it/s] 46%|████▌ | 11/24 [00:02<00:02, 4.99it/s] 50%|█████ | 12/24 [00:02<00:02, 4.97it/s] 54%|█████▍ | 13/24 [00:02<00:02, 4.95it/s] 58%|█████▊ | 14/24 [00:02<00:02, 4.94it/s] 62%|██████▎ | 15/24 [00:03<00:01, 4.94it/s] 67%|██████▋ | 16/24 [00:03<00:01, 4.91it/s] 71%|███████ | 17/24 [00:03<00:01, 4.93it/s] 75%|███████▌ | 18/24 [00:03<00:01, 4.94it/s] 79%|███████▉ | 19/24 [00:04<00:01, 4.96it/s] 83%|████████▎ | 20/24 [00:04<00:00, 4.96it/s] 88%|████████▊ | 21/24 [00:04<00:00, 4.94it/s] 92%|█████████▏| 22/24 [00:04<00:00, 4.93it/s] 96%|█████████▌| 23/24 [00:04<00:00, 4.92it/s] 100%|██████████| 24/24 [00:05<00:00, 4.91it/s] 100%|██████████| 24/24 [00:05<00:00, 4.78it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 1 face, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:04, 4.68it/s] 8%|▊ | 2/24 [00:00<00:04, 4.74it/s] 12%|█▎ | 3/24 [00:00<00:04, 4.79it/s] 17%|█▋ | 4/24 [00:00<00:04, 4.81it/s] 21%|██ | 5/24 [00:01<00:03, 4.84it/s] 25%|██▌ | 6/24 [00:01<00:03, 4.87it/s] 29%|██▉ | 7/24 [00:01<00:03, 4.92it/s] 33%|███▎ | 8/24 [00:01<00:03, 4.94it/s] 38%|███▊ | 9/24 [00:01<00:03, 4.95it/s] 42%|████▏ | 10/24 [00:02<00:02, 4.94it/s] 46%|████▌ | 11/24 [00:02<00:02, 4.97it/s] 50%|█████ | 12/24 [00:02<00:02, 4.97it/s] 54%|█████▍ | 13/24 [00:02<00:02, 4.98it/s] 58%|█████▊ | 14/24 [00:02<00:02, 4.98it/s] 62%|██████▎ | 15/24 [00:03<00:01, 4.97it/s] 67%|██████▋ | 16/24 [00:03<00:01, 4.96it/s] 71%|███████ | 17/24 [00:03<00:01, 4.97it/s] 75%|███████▌ | 18/24 [00:03<00:01, 4.97it/s] 79%|███████▉ | 19/24 [00:03<00:01, 4.99it/s] 83%|████████▎ | 20/24 [00:04<00:00, 4.99it/s] 88%|████████▊ | 21/24 [00:04<00:00, 4.95it/s] 92%|█████████▏| 22/24 [00:04<00:00, 4.97it/s] 96%|█████████▌| 23/24 [00:04<00:00, 4.94it/s] 100%|██████████| 24/24 [00:04<00:00, 4.93it/s] 100%|██████████| 24/24 [00:04<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:04, 4.91it/s] 8%|▊ | 2/24 [00:00<00:04, 4.96it/s] 12%|█▎ | 3/24 [00:00<00:04, 4.96it/s] 17%|█▋ | 4/24 [00:00<00:04, 4.90it/s] 21%|██ | 5/24 [00:01<00:03, 4.92it/s] 25%|██▌ | 6/24 [00:01<00:03, 4.93it/s] 29%|██▉ | 7/24 [00:01<00:03, 4.96it/s] 33%|███▎ | 8/24 [00:01<00:03, 4.98it/s] 38%|███▊ | 9/24 [00:01<00:03, 4.99it/s] 42%|████▏ | 10/24 [00:02<00:02, 4.99it/s] 46%|████▌ | 11/24 [00:02<00:02, 5.00it/s] 50%|█████ | 12/24 [00:02<00:02, 4.96it/s] 54%|█████▍ | 13/24 [00:02<00:02, 4.96it/s] 58%|█████▊ | 14/24 [00:02<00:02, 4.95it/s] 62%|██████▎ | 15/24 [00:03<00:01, 4.92it/s] 67%|██████▋ | 16/24 [00:03<00:01, 4.90it/s] 71%|███████ | 17/24 [00:03<00:01, 4.90it/s] 75%|███████▌ | 18/24 [00:03<00:01, 4.94it/s] 79%|███████▉ | 19/24 [00:03<00:01, 4.95it/s] 83%|████████▎ | 20/24 [00:04<00:00, 4.96it/s] 88%|████████▊ | 21/24 [00:04<00:00, 4.98it/s] 92%|█████████▏| 22/24 [00:04<00:00, 4.93it/s] 96%|█████████▌| 23/24 [00:04<00:00, 4.93it/s] 100%|██████████| 24/24 [00:04<00:00, 4.89it/s] 100%|██████████| 24/24 [00:04<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:04, 5.03it/s] 8%|▊ | 2/24 [00:00<00:04, 5.03it/s] 12%|█▎ | 3/24 [00:00<00:04, 5.07it/s] 17%|█▋ | 4/24 [00:00<00:03, 5.07it/s] 21%|██ | 5/24 [00:00<00:03, 5.04it/s] 25%|██▌ | 6/24 [00:01<00:03, 5.03it/s] 29%|██▉ | 7/24 [00:01<00:03, 4.92it/s] 33%|███▎ | 8/24 [00:01<00:03, 4.94it/s] 38%|███▊ | 9/24 [00:01<00:03, 4.94it/s] 42%|████▏ | 10/24 [00:02<00:02, 4.96it/s] 46%|████▌ | 11/24 [00:02<00:02, 4.97it/s] 50%|█████ | 12/24 [00:02<00:02, 4.95it/s] 54%|█████▍ | 13/24 [00:02<00:02, 4.91it/s] 58%|█████▊ | 14/24 [00:02<00:02, 4.94it/s] 62%|██████▎ | 15/24 [00:03<00:01, 4.96it/s] 67%|██████▋ | 16/24 [00:03<00:01, 4.93it/s] 71%|███████ | 17/24 [00:03<00:01, 4.93it/s] 75%|███████▌ | 18/24 [00:03<00:01, 4.93it/s] 79%|███████▉ | 19/24 [00:03<00:01, 4.96it/s] 83%|████████▎ | 20/24 [00:04<00:00, 4.97it/s] 88%|████████▊ | 21/24 [00:04<00:00, 4.98it/s] 92%|█████████▏| 22/24 [00:04<00:00, 4.98it/s] 96%|█████████▌| 23/24 [00:04<00:00, 4.99it/s] 100%|██████████| 24/24 [00:04<00:00, 4.99it/s] 100%|██████████| 24/24 [00:04<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
((Cowboy shot:1.5)), breathtaking photo of pure femininity, highlighting unparalleled beauty, captivating eyes, and skillful makeup with blush. The scene is adorned with intricate details, and the harmonious background creates a perfect balance. (Breathtaking portrait of pure femininity:1.4), (Unparalleled beauty with incredible eyes:1.3), (Skillful makeup with blush:1.4), (Adorned with intricate details:1.3), (Harmonious background for perfect balance:1.4), HDR. Inspired by captivating portrayals of femininity, this image emphasizes beauty, mesmerizing eyes, skillful makeup, and a harmonious background with intricate details, ((ultra detailed handbag:1.5)), ((golden dress)). 4K UHD image, Cinematic view, Photorealistic, High-definition, Intricate, Sharp, Ultra-detailed, Crisp, volumetric light, shiny skin, glossy skin, <lora:add_detail:0.8>, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
((portrait:2)), focus on face, nsfw, (photorealistic:1.2) and (3d rendering:1.2) and (worst quality:2) and (low quality:2) and (normal quality:2) and (bad anatomy) and (depth of field:1.4) and (bokeh:1.4) and (blurry:1.4), bad-hands-5
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
0.45
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3285422615
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
42
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
ClearVAE_V2.3_fp16.pt
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
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-hands-5.pt
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/a8a955d80b0646b28dae16e92f1fb514/00000-3285422615.webp
https://files.tungsten.run/uploads/57081b99323e450b9303db561bfeb6e9/00001-3285422616.webp
https://files.tungsten.run/uploads/2483da35a3744268a3c6e804cb8f7c1d/00002-3285422617.webp
https://files.tungsten.run/uploads/61f37e5ca46f456fb139cbce2e071425/00003-3285422618.webp
Finished in 62.8 seconds
v1.0: Pulling from evevalentine2017/ai-os 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 3a5f2da1e2b4: Pull complete 2513e59bab2e: Pull complete 4ab60127736b: Pull complete d119b66859f8: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: ((Cowboy shot:1.5)), breathtaking photo of pure femininity, highlighting unparalleled beauty, captivating eyes, and skillful makeup with blush. The scene is adorned with intricate details, and the harmonious background creates a perfect balance. (Breathtaking portrait of pure femininity:1.4), (Unparalleled beauty with incredible eyes:1.3), (Skillful makeup with blush:1.4), (Adorned with intricate details:1.3), (Harmonious background for perfect balance:1.4), HDR. Inspired by captivating portrayals of femininity, this image emphasizes beauty, mesmerizing eyes, skillful makeup, and a harmonious background with intricate details, ((ultra detailed handbag:1.5)), ((golden dress)). 4K UHD image, Cinematic view, Photorealistic, High-definition, Intricate, Sharp, Ultra-detailed, Crisp, volumetric light, shiny skin, glossy skin, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:0.45> Full negative prompt: ((portrait:2)), focus on face, nsfw, (photorealistic:1.2) and (3d rendering:1.2) and (worst quality:2) and (low quality:2) and (normal quality:2) and (bad anatomy) and (depth of field:1.4) and (bokeh:1.4) and (blurry:1.4), bad-hands-5 0%| | 0/42 [00:00<?, ?it/s] 2%|▏ | 1/42 [00:01<00:51, 1.25s/it] 5%|▍ | 2/42 [00:01<00:35, 1.13it/s] 7%|▋ | 3/42 [00:02<00:29, 1.30it/s] 10%|▉ | 4/42 [00:03<00:27, 1.39it/s] 12%|█▏ | 5/42 [00:03<00:25, 1.46it/s] 14%|█▍ | 6/42 [00:04<00:24, 1.49it/s] 17%|█▋ | 7/42 [00:05<00:23, 1.52it/s] 19%|█▉ | 8/42 [00:05<00:22, 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[00:21<00:06, 1.55it/s] 79%|███████▊ | 33/42 [00:21<00:05, 1.55it/s] 81%|████████ | 34/42 [00:22<00:05, 1.55it/s] 83%|████████▎ | 35/42 [00:23<00:04, 1.55it/s] 86%|████████▌ | 36/42 [00:23<00:03, 1.55it/s] 88%|████████▊ | 37/42 [00:24<00:03, 1.55it/s] 90%|█████████ | 38/42 [00:24<00:02, 1.55it/s] 93%|█████████▎| 39/42 [00:25<00:01, 1.55it/s] 95%|█████████▌| 40/42 [00:26<00:01, 1.55it/s] 98%|█████████▊| 41/42 [00:26<00:00, 1.55it/s] 100%|██████████| 42/42 [00:27<00:00, 1.55it/s] 100%|██████████| 42/42 [00:27<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 4.2ms preprocess, 7.6ms inference, 31.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:09, 2.51it/s] 8%|▊ | 2/24 [00:00<00:06, 3.57it/s] 12%|█▎ | 3/24 [00:00<00:05, 4.07it/s] 17%|█▋ | 4/24 [00:00<00:04, 4.41it/s] 21%|██ | 5/24 [00:01<00:04, 4.62it/s] 25%|██▌ | 6/24 [00:01<00:03, 4.75it/s] 29%|██▉ | 7/24 [00:01<00:03, 4.86it/s] 33%|███▎ | 8/24 [00:01<00:03, 4.93it/s] 38%|███▊ | 9/24 [00:01<00:03, 4.96it/s] 42%|████▏ | 10/24 [00:02<00:02, 4.99it/s] 46%|████▌ | 11/24 [00:02<00:02, 4.99it/s] 50%|█████ | 12/24 [00:02<00:02, 4.97it/s] 54%|█████▍ | 13/24 [00:02<00:02, 4.95it/s] 58%|█████▊ | 14/24 [00:02<00:02, 4.94it/s] 62%|██████▎ | 15/24 [00:03<00:01, 4.94it/s] 67%|██████▋ | 16/24 [00:03<00:01, 4.91it/s] 71%|███████ | 17/24 [00:03<00:01, 4.93it/s] 75%|███████▌ | 18/24 [00:03<00:01, 4.94it/s] 79%|███████▉ | 19/24 [00:04<00:01, 4.96it/s] 83%|████████▎ | 20/24 [00:04<00:00, 4.96it/s] 88%|████████▊ | 21/24 [00:04<00:00, 4.94it/s] 92%|█████████▏| 22/24 [00:04<00:00, 4.93it/s] 96%|█████████▌| 23/24 [00:04<00:00, 4.92it/s] 100%|██████████| 24/24 [00:05<00:00, 4.91it/s] 100%|██████████| 24/24 [00:05<00:00, 4.78it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 1 face, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:04, 4.68it/s] 8%|▊ | 2/24 [00:00<00:04, 4.74it/s] 12%|█▎ | 3/24 [00:00<00:04, 4.79it/s] 17%|█▋ | 4/24 [00:00<00:04, 4.81it/s] 21%|██ | 5/24 [00:01<00:03, 4.84it/s] 25%|██▌ | 6/24 [00:01<00:03, 4.87it/s] 29%|██▉ | 7/24 [00:01<00:03, 4.92it/s] 33%|███▎ | 8/24 [00:01<00:03, 4.94it/s] 38%|███▊ | 9/24 [00:01<00:03, 4.95it/s] 42%|████▏ | 10/24 [00:02<00:02, 4.94it/s] 46%|████▌ | 11/24 [00:02<00:02, 4.97it/s] 50%|█████ | 12/24 [00:02<00:02, 4.97it/s] 54%|█████▍ | 13/24 [00:02<00:02, 4.98it/s] 58%|█████▊ | 14/24 [00:02<00:02, 4.98it/s] 62%|██████▎ | 15/24 [00:03<00:01, 4.97it/s] 67%|██████▋ | 16/24 [00:03<00:01, 4.96it/s] 71%|███████ | 17/24 [00:03<00:01, 4.97it/s] 75%|███████▌ | 18/24 [00:03<00:01, 4.97it/s] 79%|███████▉ | 19/24 [00:03<00:01, 4.99it/s] 83%|████████▎ | 20/24 [00:04<00:00, 4.99it/s] 88%|████████▊ | 21/24 [00:04<00:00, 4.95it/s] 92%|█████████▏| 22/24 [00:04<00:00, 4.97it/s] 96%|█████████▌| 23/24 [00:04<00:00, 4.94it/s] 100%|██████████| 24/24 [00:04<00:00, 4.93it/s] 100%|██████████| 24/24 [00:04<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:04, 4.91it/s] 8%|▊ | 2/24 [00:00<00:04, 4.96it/s] 12%|█▎ | 3/24 [00:00<00:04, 4.96it/s] 17%|█▋ | 4/24 [00:00<00:04, 4.90it/s] 21%|██ | 5/24 [00:01<00:03, 4.92it/s] 25%|██▌ | 6/24 [00:01<00:03, 4.93it/s] 29%|██▉ | 7/24 [00:01<00:03, 4.96it/s] 33%|███▎ | 8/24 [00:01<00:03, 4.98it/s] 38%|███▊ | 9/24 [00:01<00:03, 4.99it/s] 42%|████▏ | 10/24 [00:02<00:02, 4.99it/s] 46%|████▌ | 11/24 [00:02<00:02, 5.00it/s] 50%|█████ | 12/24 [00:02<00:02, 4.96it/s] 54%|█████▍ | 13/24 [00:02<00:02, 4.96it/s] 58%|█████▊ | 14/24 [00:02<00:02, 4.95it/s] 62%|██████▎ | 15/24 [00:03<00:01, 4.92it/s] 67%|██████▋ | 16/24 [00:03<00:01, 4.90it/s] 71%|███████ | 17/24 [00:03<00:01, 4.90it/s] 75%|███████▌ | 18/24 [00:03<00:01, 4.94it/s] 79%|███████▉ | 19/24 [00:03<00:01, 4.95it/s] 83%|████████▎ | 20/24 [00:04<00:00, 4.96it/s] 88%|████████▊ | 21/24 [00:04<00:00, 4.98it/s] 92%|█████████▏| 22/24 [00:04<00:00, 4.93it/s] 96%|█████████▌| 23/24 [00:04<00:00, 4.93it/s] 100%|██████████| 24/24 [00:04<00:00, 4.89it/s] 100%|██████████| 24/24 [00:04<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:04, 5.03it/s] 8%|▊ | 2/24 [00:00<00:04, 5.03it/s] 12%|█▎ | 3/24 [00:00<00:04, 5.07it/s] 17%|█▋ | 4/24 [00:00<00:03, 5.07it/s] 21%|██ | 5/24 [00:00<00:03, 5.04it/s] 25%|██▌ | 6/24 [00:01<00:03, 5.03it/s] 29%|██▉ | 7/24 [00:01<00:03, 4.92it/s] 33%|███▎ | 8/24 [00:01<00:03, 4.94it/s] 38%|███▊ | 9/24 [00:01<00:03, 4.94it/s] 42%|████▏ | 10/24 [00:02<00:02, 4.96it/s] 46%|████▌ | 11/24 [00:02<00:02, 4.97it/s] 50%|█████ | 12/24 [00:02<00:02, 4.95it/s] 54%|█████▍ | 13/24 [00:02<00:02, 4.91it/s] 58%|█████▊ | 14/24 [00:02<00:02, 4.94it/s] 62%|██████▎ | 15/24 [00:03<00:01, 4.96it/s] 67%|██████▋ | 16/24 [00:03<00:01, 4.93it/s] 71%|███████ | 17/24 [00:03<00:01, 4.93it/s] 75%|███████▌ | 18/24 [00:03<00:01, 4.93it/s] 79%|███████▉ | 19/24 [00:03<00:01, 4.96it/s] 83%|████████▎ | 20/24 [00:04<00:00, 4.97it/s] 88%|████████▊ | 21/24 [00:04<00:00, 4.98it/s] 92%|█████████▏| 22/24 [00:04<00:00, 4.98it/s] 96%|█████████▌| 23/24 [00:04<00:00, 4.99it/s] 100%|██████████| 24/24 [00:04<00:00, 4.99it/s] 100%|██████████| 24/24 [00:04<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.