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Cute OFfice Lady with Anime 3D Mix
anime-3d-mix:v1.0
evevalentine2017
evevalentine2017
·
12/17/2023
365
Input
prompt
Specify things to see in the output
(masterpiece, best quality), HDR, high-definition, Intricate Details, vray render, octane render, 1girl, office lady, white shirt, black mini skirt, pantyhose, glasses, naughty face volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>,
negative_prompt
Specify things to not see in the output
nudity, nude, nipples, vagina, nsfw, (more than 2 arms), (more than 2 legs), sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, bad-hands-5, NegfeetV2
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.
1812561531
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
22
cfg_scale
Scale for classifier-free guidance
7.5
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>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
jackopose_v3-000001.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
NegfeetV2.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/2a282b4b7f8d46ec849981d3f12abba6/00000-1812561531.webp
https://files.tungsten.run/uploads/575d8fc609694a2c851f31f027c02ab4/00001-1812561532.webp
https://files.tungsten.run/uploads/ea84f09919fa430bbec6b47c85ab2d48/00002-1812561533.webp
https://files.tungsten.run/uploads/2f479d91a84a4505bf647199d60e37c0/00003-1812561534.webp
Finished in 46.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, best quality), HDR, high-definition, Intricate Details, vray render, octane render, 1girl, office lady, white shirt, black mini skirt, pantyhose, glasses, naughty face volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>, Full negative prompt: nudity, nude, nipples, vagina, nsfw, (more than 2 arms), (more than 2 legs), sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, bad-hands-5, NegfeetV2 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:01<00:27, 1.31s/it] 9%|▉ | 2/22 [00:01<00:18, 1.09it/s] 14%|█▎ | 3/22 [00:02<00:15, 1.25it/s] 18%|█▊ | 4/22 [00:03<00:13, 1.33it/s] 23%|██▎ | 5/22 [00:03<00:12, 1.39it/s] 27%|██▋ | 6/22 [00:04<00:11, 1.43it/s] 32%|███▏ | 7/22 [00:05<00:10, 1.45it/s] 36%|███▋ | 8/22 [00:05<00:09, 1.47it/s] 41%|████ | 9/22 [00:06<00:08, 1.48it/s] 45%|████▌ | 10/22 [00:07<00:08, 1.48it/s] 50%|█████ | 11/22 [00:07<00:07, 1.49it/s] 55%|█████▍ | 12/22 [00:08<00:06, 1.49it/s] 59%|█████▉ | 13/22 [00:09<00:06, 1.49it/s] 64%|██████▎ | 14/22 [00:09<00:05, 1.49it/s] 68%|██████▊ | 15/22 [00:10<00:04, 1.49it/s] 73%|███████▎ | 16/22 [00:11<00:04, 1.49it/s] 77%|███████▋ | 17/22 [00:11<00:03, 1.49it/s] 82%|████████▏ | 18/22 [00:12<00:02, 1.49it/s] 86%|████████▋ | 19/22 [00:13<00:02, 1.49it/s] 91%|█████████ | 20/22 [00:13<00:01, 1.49it/s] 95%|█████████▌| 21/22 [00:14<00:00, 1.49it/s] 100%|██████████| 22/22 [00:15<00:00, 1.49it/s] 100%|██████████| 22/22 [00:15<00:00, 1.43it/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 1.59s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 3.5ms preprocess, 8.0ms inference, 47.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:03, 3.28it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.68it/s] 23%|██▎ | 3/13 [00:00<00:01, 5.28it/s] 31%|███ | 4/13 [00:00<00:01, 5.74it/s] 38%|███▊ | 5/13 [00:00<00:01, 5.97it/s] 46%|████▌ | 6/13 [00:01<00:01, 6.05it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.09it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.13it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.18it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.14it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.25it/s] 92%|█████████▏| 12/13 [00:02<00:00, 6.24it/s] 100%|██████████| 13/13 [00:02<00:00, 6.22it/s] 100%|██████████| 13/13 [00:02<00:00, 5.89it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 6.86it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.66it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.44it/s] 31%|███ | 4/13 [00:00<00:01, 6.46it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.47it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.37it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.32it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.31it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.32it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.38it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.41it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.37it/s] 100%|██████████| 13/13 [00:02<00:00, 6.34it/s] 100%|██████████| 13/13 [00:02<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 6.90it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.63it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.57it/s] 31%|███ | 4/13 [00:00<00:01, 6.54it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.53it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.41it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.34it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.06it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.25it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.24it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.30it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.29it/s] 100%|██████████| 13/13 [00:02<00:00, 6.27it/s] 100%|██████████| 13/13 [00:02<00:00, 6.34it/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, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 6.88it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.67it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.61it/s] 31%|███ | 4/13 [00:00<00:01, 6.59it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.57it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.47it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.39it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.35it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.32it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.36it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.41it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.37it/s] 100%|██████████| 13/13 [00:02<00:00, 6.33it/s] 100%|██████████| 13/13 [00:02<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(masterpiece, best quality), HDR, high-definition, Intricate Details, vray render, octane render, 1girl, office lady, white shirt, black mini skirt, pantyhose, glasses, naughty face volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>,
negative_prompt
Specify things to not see in the output
nudity, nude, nipples, vagina, nsfw, (more than 2 arms), (more than 2 legs), sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, bad-hands-5, NegfeetV2
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.
1812561531
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
22
cfg_scale
Scale for classifier-free guidance
7.5
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>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
jackopose_v3-000001.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
NegfeetV2.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/2a282b4b7f8d46ec849981d3f12abba6/00000-1812561531.webp
https://files.tungsten.run/uploads/575d8fc609694a2c851f31f027c02ab4/00001-1812561532.webp
https://files.tungsten.run/uploads/ea84f09919fa430bbec6b47c85ab2d48/00002-1812561533.webp
https://files.tungsten.run/uploads/2f479d91a84a4505bf647199d60e37c0/00003-1812561534.webp
Finished in 46.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, best quality), HDR, high-definition, Intricate Details, vray render, octane render, 1girl, office lady, white shirt, black mini skirt, pantyhose, glasses, naughty face volumetric light, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>, Full negative prompt: nudity, nude, nipples, vagina, nsfw, (more than 2 arms), (more than 2 legs), sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, bad-hands-5, NegfeetV2 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:01<00:27, 1.31s/it] 9%|▉ | 2/22 [00:01<00:18, 1.09it/s] 14%|█▎ | 3/22 [00:02<00:15, 1.25it/s] 18%|█▊ | 4/22 [00:03<00:13, 1.33it/s] 23%|██▎ | 5/22 [00:03<00:12, 1.39it/s] 27%|██▋ | 6/22 [00:04<00:11, 1.43it/s] 32%|███▏ | 7/22 [00:05<00:10, 1.45it/s] 36%|███▋ | 8/22 [00:05<00:09, 1.47it/s] 41%|████ | 9/22 [00:06<00:08, 1.48it/s] 45%|████▌ | 10/22 [00:07<00:08, 1.48it/s] 50%|█████ | 11/22 [00:07<00:07, 1.49it/s] 55%|█████▍ | 12/22 [00:08<00:06, 1.49it/s] 59%|█████▉ | 13/22 [00:09<00:06, 1.49it/s] 64%|██████▎ | 14/22 [00:09<00:05, 1.49it/s] 68%|██████▊ | 15/22 [00:10<00:04, 1.49it/s] 73%|███████▎ | 16/22 [00:11<00:04, 1.49it/s] 77%|███████▋ | 17/22 [00:11<00:03, 1.49it/s] 82%|████████▏ | 18/22 [00:12<00:02, 1.49it/s] 86%|████████▋ | 19/22 [00:13<00:02, 1.49it/s] 91%|█████████ | 20/22 [00:13<00:01, 1.49it/s] 95%|█████████▌| 21/22 [00:14<00:00, 1.49it/s] 100%|██████████| 22/22 [00:15<00:00, 1.49it/s] 100%|██████████| 22/22 [00:15<00:00, 1.43it/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 1.59s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 3.5ms preprocess, 8.0ms inference, 47.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:03, 3.28it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.68it/s] 23%|██▎ | 3/13 [00:00<00:01, 5.28it/s] 31%|███ | 4/13 [00:00<00:01, 5.74it/s] 38%|███▊ | 5/13 [00:00<00:01, 5.97it/s] 46%|████▌ | 6/13 [00:01<00:01, 6.05it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.09it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.13it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.18it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.14it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.25it/s] 92%|█████████▏| 12/13 [00:02<00:00, 6.24it/s] 100%|██████████| 13/13 [00:02<00:00, 6.22it/s] 100%|██████████| 13/13 [00:02<00:00, 5.89it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 6.86it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.66it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.44it/s] 31%|███ | 4/13 [00:00<00:01, 6.46it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.47it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.37it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.32it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.31it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.32it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.38it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.41it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.37it/s] 100%|██████████| 13/13 [00:02<00:00, 6.34it/s] 100%|██████████| 13/13 [00:02<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 6.90it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.63it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.57it/s] 31%|███ | 4/13 [00:00<00:01, 6.54it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.53it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.41it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.34it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.06it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.25it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.24it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.30it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.29it/s] 100%|██████████| 13/13 [00:02<00:00, 6.27it/s] 100%|██████████| 13/13 [00:02<00:00, 6.34it/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, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:01, 6.88it/s] 15%|█▌ | 2/13 [00:00<00:01, 6.67it/s] 23%|██▎ | 3/13 [00:00<00:01, 6.61it/s] 31%|███ | 4/13 [00:00<00:01, 6.59it/s] 38%|███▊ | 5/13 [00:00<00:01, 6.57it/s] 46%|████▌ | 6/13 [00:00<00:01, 6.47it/s] 54%|█████▍ | 7/13 [00:01<00:00, 6.39it/s] 62%|██████▏ | 8/13 [00:01<00:00, 6.35it/s] 69%|██████▉ | 9/13 [00:01<00:00, 6.32it/s] 77%|███████▋ | 10/13 [00:01<00:00, 6.36it/s] 85%|████████▍ | 11/13 [00:01<00:00, 6.41it/s] 92%|█████████▏| 12/13 [00:01<00:00, 6.37it/s] 100%|██████████| 13/13 [00:02<00:00, 6.33it/s] 100%|██████████| 13/13 [00:02<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s Finished.