Girl in a Classroom with Supashy Mix
Input
prompt
Specify things to see in the output
Asian-Less, <lora:add_detail:0.8>, [kate beckinsale | mylene farmer | eva green], analog style, photo of a girl, (1girl, student girl), catears, (black bun hair), ((pretty face: 1.7, perfect face:1.5)), ((huge breasts)), pale skin, shinny skin, ((japanese uniform)), tight shirt, white, breast nipples see-through cloth, nsfw, school desk, gesturing with hands, classroom, 8k, 3d, (best quality:1.5, hyperrealistic:1.5, photorealistic:1.4, madly detailed CG unity 8k wallpaper:1.5, masterpiece:1.3, madly detailed photo:1.2), (hyper-realistic lifelike texture:1.4, realistic eyes:1.2), (octane render, unreal engine 5), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(low quality:1.3), bad-hands-5
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1604546759
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
20
cfg_scale
Scale for classifier-free guidance
7
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>
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/52557f2e1d9f4495a0d5bb86140cfca6/00000-1604546759.png
https://files.tungsten.run/uploads/ede3e5d408e342c79d573eb4864dda0c/00001-1604546760.png
https://files.tungsten.run/uploads/11c63dcf64724c818e633b453038d956/00002-1604546761.png
https://files.tungsten.run/uploads/158744b061714a839fc180acacd3e40e/00003-1604546762.png
Finished in 61.4 seconds
v3.0: Pulling from evevalentine2017/supashy-mix 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 235071021718: Already exists fac0394eedbc: Pull complete b34518bcda4d: Pull complete e245165a7c26: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Asian-Less, [kate beckinsale | mylene farmer | eva green], analog style, photo of a girl, (1girl, student girl), catears, (black bun hair), ((pretty face: 1.7, perfect face:1.5)), ((huge breasts)), pale skin, shinny skin, ((japanese uniform)), tight shirt, white, breast nipples see-through cloth, nsfw, school desk, gesturing with hands, classroom, 8k, 3d, (best quality:1.5, hyperrealistic:1.5, photorealistic:1.4, madly detailed CG unity 8k wallpaper:1.5, masterpiece:1.3, madly detailed photo:1.2), (hyper-realistic lifelike texture:1.4, realistic eyes:1.2), (octane render, unreal engine 5), <lora:FaceBeauty_qinglong_V3:1>, (masterpiece: 1.5), (top quality: 1.5), (ultra realistic: 1.5), (ultra detailed: 1.5) Full negative prompt: (low quality:1.3), bad-hands-5 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:23, 1.22s/it] 10%|█ | 2/20 [00:01<00:15, 1.15it/s] 15%|█▌ | 3/20 [00:02<00:12, 1.32it/s] 20%|██ | 4/20 [00:03<00:11, 1.41it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.47it/s] 30%|███ | 6/20 [00:04<00:09, 1.50it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.53it/s] 40%|████ | 8/20 [00:05<00:07, 1.54it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.55it/s] 50%|█████ | 10/20 [00:06<00:06, 1.55it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.56it/s] 60%|██████ | 12/20 [00:08<00:05, 1.56it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.56it/s] 70%|███████ | 14/20 [00:09<00:03, 1.56it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.56it/s] 80%|████████ | 16/20 [00:10<00:02, 1.56it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.56it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.56it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.56it/s] 100%|██████████| 20/20 [00:13<00:00, 1.56it/s] 100%|██████████| 20/20 [00:13<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 7.4ms preprocess, 7.7ms inference, 61.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.57it/s] 17%|█▋ | 2/12 [00:00<00:02, 3.61it/s] 25%|██▌ | 3/12 [00:00<00:02, 4.17it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.49it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.69it/s] 50%|█████ | 6/12 [00:01<00:01, 4.83it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.91it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.98it/s] 75%|███████▌ | 9/12 [00:02<00:00, 4.59it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.68it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.80it/s] 100%|██████████| 12/12 [00:02<00:00, 4.89it/s] 100%|██████████| 12/12 [00:02<00:00, 4.59it/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 0.23s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.02it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.93it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.96it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.91it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.91it/s] 50%|█████ | 6/12 [00:01<00:01, 4.83it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.90it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.89it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.90it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.95it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.67it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.88it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.96it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.99it/s] 42%|████▏ | 5/12 [00:01<00:01, 5.00it/s] 50%|█████ | 6/12 [00:01<00:01, 5.01it/s] 58%|█████▊ | 7/12 [00:01<00:00, 5.03it/s] 67%|██████▋ | 8/12 [00:01<00:00, 5.04it/s] 75%|███████▌ | 9/12 [00:01<00:00, 5.00it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.99it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.97it/s] 100%|██████████| 12/12 [00:02<00:00, 5.00it/s] 100%|██████████| 12/12 [00:02<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.04it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.03it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.02it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.00it/s] 42%|████▏ | 5/12 [00:00<00:01, 4.99it/s] 50%|█████ | 6/12 [00:01<00:01, 5.00it/s] 58%|█████▊ | 7/12 [00:01<00:01, 5.00it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.93it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.96it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.98it/s] 92%|█████████▏| 11/12 [00:02<00:00, 5.00it/s] 100%|██████████| 12/12 [00:02<00:00, 5.02it/s] 100%|██████████| 12/12 [00:02<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.97it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.94it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.81it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.85it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.89it/s] 50%|█████ | 6/12 [00:01<00:01, 4.95it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.95it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.76it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.82it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.87it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.90it/s] 100%|██████████| 12/12 [00:02<00:00, 4.94it/s] 100%|██████████| 12/12 [00:02<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.02it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.99it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.01it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.02it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.92it/s] 50%|█████ | 6/12 [00:01<00:01, 4.94it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.97it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.98it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.96it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.92it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.94it/s] 100%|██████████| 12/12 [00:02<00:00, 4.98it/s] 100%|██████████| 12/12 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.70it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.87it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.89it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.88it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.91it/s] 50%|█████ | 6/12 [00:01<00:01, 4.93it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.97it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.99it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.98it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.97it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.88it/s] 100%|██████████| 12/12 [00:02<00:00, 4.91it/s] 100%|██████████| 12/12 [00:02<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.77it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.86it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.93it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.95it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.96it/s] 50%|█████ | 6/12 [00:01<00:01, 4.78it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.84it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.89it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.90it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.92it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.89it/s] 100%|██████████| 12/12 [00:02<00:00, 4.94it/s] 100%|██████████| 12/12 [00:02<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.99it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.99it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.81it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.88it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.91it/s] 50%|█████ | 6/12 [00:01<00:01, 4.94it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.98it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.87it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.89it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.93it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.94it/s] 100%|██████████| 12/12 [00:02<00:00, 4.97it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.67it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.78it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.79it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.87it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.87it/s] 50%|█████ | 6/12 [00:01<00:01, 4.94it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.98it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.91it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.95it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.91it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.93it/s] 100%|██████████| 12/12 [00:02<00:00, 4.94it/s] 100%|██████████| 12/12 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
Asian-Less, <lora:add_detail:0.8>, [kate beckinsale | mylene farmer | eva green], analog style, photo of a girl, (1girl, student girl), catears, (black bun hair), ((pretty face: 1.7, perfect face:1.5)), ((huge breasts)), pale skin, shinny skin, ((japanese uniform)), tight shirt, white, breast nipples see-through cloth, nsfw, school desk, gesturing with hands, classroom, 8k, 3d, (best quality:1.5, hyperrealistic:1.5, photorealistic:1.4, madly detailed CG unity 8k wallpaper:1.5, masterpiece:1.3, madly detailed photo:1.2), (hyper-realistic lifelike texture:1.4, realistic eyes:1.2), (octane render, unreal engine 5), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(low quality:1.3), bad-hands-5
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1604546759
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
20
cfg_scale
Scale for classifier-free guidance
7
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>
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/52557f2e1d9f4495a0d5bb86140cfca6/00000-1604546759.png
https://files.tungsten.run/uploads/ede3e5d408e342c79d573eb4864dda0c/00001-1604546760.png
https://files.tungsten.run/uploads/11c63dcf64724c818e633b453038d956/00002-1604546761.png
https://files.tungsten.run/uploads/158744b061714a839fc180acacd3e40e/00003-1604546762.png
Finished in 61.4 seconds
v3.0: Pulling from evevalentine2017/supashy-mix 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 235071021718: Already exists fac0394eedbc: Pull complete b34518bcda4d: Pull complete e245165a7c26: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Asian-Less, [kate beckinsale | mylene farmer | eva green], analog style, photo of a girl, (1girl, student girl), catears, (black bun hair), ((pretty face: 1.7, perfect face:1.5)), ((huge breasts)), pale skin, shinny skin, ((japanese uniform)), tight shirt, white, breast nipples see-through cloth, nsfw, school desk, gesturing with hands, classroom, 8k, 3d, (best quality:1.5, hyperrealistic:1.5, photorealistic:1.4, madly detailed CG unity 8k wallpaper:1.5, masterpiece:1.3, madly detailed photo:1.2), (hyper-realistic lifelike texture:1.4, realistic eyes:1.2), (octane render, unreal engine 5), <lora:FaceBeauty_qinglong_V3:1>, (masterpiece: 1.5), (top quality: 1.5), (ultra realistic: 1.5), (ultra detailed: 1.5) Full negative prompt: (low quality:1.3), bad-hands-5 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:23, 1.22s/it] 10%|█ | 2/20 [00:01<00:15, 1.15it/s] 15%|█▌ | 3/20 [00:02<00:12, 1.32it/s] 20%|██ | 4/20 [00:03<00:11, 1.41it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.47it/s] 30%|███ | 6/20 [00:04<00:09, 1.50it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.53it/s] 40%|████ | 8/20 [00:05<00:07, 1.54it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.55it/s] 50%|█████ | 10/20 [00:06<00:06, 1.55it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.56it/s] 60%|██████ | 12/20 [00:08<00:05, 1.56it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.56it/s] 70%|███████ | 14/20 [00:09<00:03, 1.56it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.56it/s] 80%|████████ | 16/20 [00:10<00:02, 1.56it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.56it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.56it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.56it/s] 100%|██████████| 20/20 [00:13<00:00, 1.56it/s] 100%|██████████| 20/20 [00:13<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 7.4ms preprocess, 7.7ms inference, 61.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.57it/s] 17%|█▋ | 2/12 [00:00<00:02, 3.61it/s] 25%|██▌ | 3/12 [00:00<00:02, 4.17it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.49it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.69it/s] 50%|█████ | 6/12 [00:01<00:01, 4.83it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.91it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.98it/s] 75%|███████▌ | 9/12 [00:02<00:00, 4.59it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.68it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.80it/s] 100%|██████████| 12/12 [00:02<00:00, 4.89it/s] 100%|██████████| 12/12 [00:02<00:00, 4.59it/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 0.23s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.02it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.93it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.96it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.91it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.91it/s] 50%|█████ | 6/12 [00:01<00:01, 4.83it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.90it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.89it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.90it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.95it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.67it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.88it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.96it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.99it/s] 42%|████▏ | 5/12 [00:01<00:01, 5.00it/s] 50%|█████ | 6/12 [00:01<00:01, 5.01it/s] 58%|█████▊ | 7/12 [00:01<00:00, 5.03it/s] 67%|██████▋ | 8/12 [00:01<00:00, 5.04it/s] 75%|███████▌ | 9/12 [00:01<00:00, 5.00it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.99it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.97it/s] 100%|██████████| 12/12 [00:02<00:00, 5.00it/s] 100%|██████████| 12/12 [00:02<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.04it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.03it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.02it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.00it/s] 42%|████▏ | 5/12 [00:00<00:01, 4.99it/s] 50%|█████ | 6/12 [00:01<00:01, 5.00it/s] 58%|█████▊ | 7/12 [00:01<00:01, 5.00it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.93it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.96it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.98it/s] 92%|█████████▏| 11/12 [00:02<00:00, 5.00it/s] 100%|██████████| 12/12 [00:02<00:00, 5.02it/s] 100%|██████████| 12/12 [00:02<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.97it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.94it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.81it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.85it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.89it/s] 50%|█████ | 6/12 [00:01<00:01, 4.95it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.95it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.76it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.82it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.87it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.90it/s] 100%|██████████| 12/12 [00:02<00:00, 4.94it/s] 100%|██████████| 12/12 [00:02<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.02it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.99it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.01it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.02it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.92it/s] 50%|█████ | 6/12 [00:01<00:01, 4.94it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.97it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.98it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.96it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.92it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.94it/s] 100%|██████████| 12/12 [00:02<00:00, 4.98it/s] 100%|██████████| 12/12 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.70it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.87it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.89it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.88it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.91it/s] 50%|█████ | 6/12 [00:01<00:01, 4.93it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.97it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.99it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.98it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.97it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.88it/s] 100%|██████████| 12/12 [00:02<00:00, 4.91it/s] 100%|██████████| 12/12 [00:02<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.77it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.86it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.93it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.95it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.96it/s] 50%|█████ | 6/12 [00:01<00:01, 4.78it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.84it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.89it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.90it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.92it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.89it/s] 100%|██████████| 12/12 [00:02<00:00, 4.94it/s] 100%|██████████| 12/12 [00:02<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.99it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.99it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.81it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.88it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.91it/s] 50%|█████ | 6/12 [00:01<00:01, 4.94it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.98it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.87it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.89it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.93it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.94it/s] 100%|██████████| 12/12 [00:02<00:00, 4.97it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.67it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.78it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.79it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.87it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.87it/s] 50%|█████ | 6/12 [00:01<00:01, 4.94it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.98it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.91it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.95it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.91it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.93it/s] 100%|██████████| 12/12 [00:02<00:00, 4.94it/s] 100%|██████████| 12/12 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Finished.