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Gorgeous White Dresses with Fantastic Chix HR
fantastic-chix-hr:1.0
evevalentine2017
evevalentine2017
·
12/16/2023
363
Input
prompt
Specify things to see in the output
1 perfect beautiful 30 years old beautiful milf,upperbody from side,in fantasy style,elf ears, (brown long hair: 1.6),(light curvy hair:1.6), detailed hair accessories,(natural big breasts:1.6),detailed dress with jewelry, in the forest, dim light,The dress is a vision of pure, unadulterated elegance, crafted from the finest silk that falls gracefully to the floor. The bodice is fitted, accentuating the wearer's figure, and is adorned with intricate lace detailing that adds a touch of sophistication and femininity. The sleeves are sheer, billowing out slightly before tapering at the wrists, and the back dips into a low V, adding a hint of allure. The skirt of the dress is a masterpiece in itself. It flows out from the waist in a gentle A-line, the silk cascading like a waterfall. The hem is edged with a delicate lace trim that mirrors the detailing on the bodice, tying the whole design together. To complement this exquisite dress, a set of jewelry accessories has been carefully selected. A delicate diamond necklace rests against the collarbone, its sparkle subtly reflecting the light. The earrings are teardrop-shaped diamonds, their brilliance matching that of the necklace. A thin, elegant bracelet encircles the wrist, its simplicity serving to highlight the beauty of the dress rather than detract from it. Finally, a diamond-encrusted hairpin is tucked into the wearer's hair, adding a final touch of glamour to the ensemble
negative_prompt
Specify things to not see in the output
(more than 2 arms), EasyNegativeV2, By bad artist -neg, bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask
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.
848374184
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 SDE Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
8
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
By bad artist -neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.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/808f6d00cde14fa5b4cbdd9996159fed/00000-848374184.webp
https://files.tungsten.run/uploads/360958210ee34a09be1af75c6081abb7/00001-848374185.webp
https://files.tungsten.run/uploads/f0d4a2dcf9244d10a44a941a16799a95/00002-848374186.webp
https://files.tungsten.run/uploads/5cba82ba5f424907b464d3732809bd08/00003-848374187.webp
Finished in 133.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: 1 perfect beautiful 30 years old beautiful milf,upperbody from side,in fantasy style,elf ears, (brown long hair: 1.6),(light curvy hair:1.6), detailed hair accessories,(natural big breasts:1.6),detailed dress with jewelry, in the forest, dim light,The dress is a vision of pure, unadulterated elegance, crafted from the finest silk that falls gracefully to the floor. The bodice is fitted, accentuating the wearer's figure, and is adorned with intricate lace detailing that adds a touch of sophistication and femininity. The sleeves are sheer, billowing out slightly before tapering at the wrists, and the back dips into a low V, adding a hint of allure. The skirt of the dress is a masterpiece in itself. It flows out from the waist in a gentle A-line, the silk cascading like a waterfall. The hem is edged with a delicate lace trim that mirrors the detailing on the bodice, tying the whole design together. To complement this exquisite dress, a set of jewelry accessories has been carefully selected. A delicate diamond necklace rests against the collarbone, its sparkle subtly reflecting the light. The earrings are teardrop-shaped diamonds, their brilliance matching that of the necklace. A thin, elegant bracelet encircles the wrist, its simplicity serving to highlight the beauty of the dress rather than detract from it. Finally, a diamond-encrusted hairpin is tucked into the wearer's hair, adding a final touch of glamour to the ensemble Full negative prompt: (more than 2 arms), EasyNegativeV2, By bad artist -neg, bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:53, 1.36s/it] 5%|▌ | 2/40 [00:02<00:57, 1.51s/it] 8%|▊ | 3/40 [00:04<01:01, 1.67s/it] 10%|█ | 4/40 [00:06<01:02, 1.74s/it] 12%|█▎ | 5/40 [00:08<01:01, 1.76s/it] 15%|█▌ | 6/40 [00:10<01:00, 1.79s/it] 18%|█▊ | 7/40 [00:11<00:57, 1.75s/it] 20%|██ | 8/40 [00:13<00:55, 1.72s/it] 22%|██▎ | 9/40 [00:15<00:55, 1.78s/it] 25%|██▌ | 10/40 [00:17<00:53, 1.78s/it] 28%|██▊ | 11/40 [00:19<00:51, 1.78s/it] 30%|███ | 12/40 [00:20<00:49, 1.78s/it] 32%|███▎ | 13/40 [00:22<00:48, 1.78s/it] 35%|███▌ | 14/40 [00:24<00:46, 1.78s/it] 38%|███▊ | 15/40 [00:26<00:44, 1.77s/it] 40%|████ | 16/40 [00:27<00:41, 1.74s/it] 42%|████▎ | 17/40 [00:29<00:40, 1.75s/it] 45%|████▌ | 18/40 [00:31<00:38, 1.74s/it] 48%|████▊ | 19/40 [00:33<00:36, 1.74s/it] 50%|█████ | 20/40 [00:34<00:34, 1.71s/it] 52%|█████▎ | 21/40 [00:36<00:31, 1.66s/it] 55%|█████▌ | 22/40 [00:37<00:29, 1.66s/it] 57%|█████▊ | 23/40 [00:39<00:28, 1.67s/it] 60%|██████ | 24/40 [00:41<00:26, 1.65s/it] 62%|██████▎ | 25/40 [00:42<00:24, 1.62s/it] 65%|██████▌ | 26/40 [00:44<00:23, 1.67s/it] 68%|██████▊ | 27/40 [00:46<00:21, 1.67s/it] 70%|███████ | 28/40 [00:47<00:20, 1.68s/it] 72%|███████▎ | 29/40 [00:49<00:17, 1.61s/it] 75%|███████▌ | 30/40 [00:51<00:16, 1.62s/it] 78%|███████▊ | 31/40 [00:52<00:14, 1.62s/it] 80%|████████ | 32/40 [00:54<00:12, 1.56s/it] 82%|████████▎ | 33/40 [00:55<00:10, 1.56s/it] 85%|████████▌ | 34/40 [00:57<00:09, 1.50s/it] 88%|████████▊ | 35/40 [00:58<00:07, 1.54s/it] 90%|█████████ | 36/40 [01:00<00:05, 1.50s/it] 92%|█████████▎| 37/40 [01:01<00:04, 1.48s/it] 95%|█████████▌| 38/40 [01:02<00:02, 1.43s/it] 98%|█████████▊| 39/40 [01:03<00:01, 1.24s/it] 100%|██████████| 40/40 [01:04<00:00, 1.05s/it] 100%|██████████| 40/40 [01:04<00:00, 1.61s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.6ms preprocess, 7.6ms inference, 25.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:14, 1.53it/s] 9%|▊ | 2/23 [00:01<00:11, 1.80it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.97it/s] 17%|█▋ | 4/23 [00:02<00:09, 2.10it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.14it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.14it/s] 30%|███ | 7/23 [00:03<00:07, 2.19it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.16it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.27it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.26it/s] 61%|██████ | 14/23 [00:06<00:03, 2.26it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.33it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.33it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.42it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.42it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.43it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.49it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.83it/s] 100%|██████████| 23/23 [00:09<00:00, 3.24it/s] 100%|██████████| 23/23 [00:09<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.11it/s] 9%|▊ | 2/23 [00:00<00:10, 2.10it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.15it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.22it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.18it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.18it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.24it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.17it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.18it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.18it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.25it/s] 61%|██████ | 14/23 [00:06<00:04, 2.23it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.31it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.39it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.34it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.40it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.43it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.84it/s] 100%|██████████| 23/23 [00:09<00:00, 3.27it/s] 100%|██████████| 23/23 [00:09<00:00, 2.39it/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%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.01it/s] 9%|▊ | 2/23 [00:00<00:10, 2.09it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.15it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.22it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.20it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.14it/s] 30%|███ | 7/23 [00:03<00:07, 2.19it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.24it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.16it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.18it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.17it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.27it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.24it/s] 61%|██████ | 14/23 [00:06<00:04, 2.24it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.31it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.30it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.40it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.41it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.45it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.53it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.88it/s] 100%|██████████| 23/23 [00:09<00:00, 3.31it/s] 100%|██████████| 23/23 [00:09<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.13it/s] 9%|▊ | 2/23 [00:00<00:09, 2.13it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.18it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.23it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.20it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.19it/s] 30%|███ | 7/23 [00:03<00:07, 2.22it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.26it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.18it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.15it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.25it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.25it/s] 61%|██████ | 14/23 [00:06<00:03, 2.26it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.34it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.33it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.42it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.41it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.43it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.84it/s] 100%|██████████| 23/23 [00:09<00:00, 3.28it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.41s 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%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.15it/s] 9%|▊ | 2/23 [00:00<00:09, 2.11it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.20it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.20it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.17it/s] 30%|███ | 7/23 [00:03<00:07, 2.21it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.25it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.20it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.25it/s] 61%|██████ | 14/23 [00:06<00:04, 2.24it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.29it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.39it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.34it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.41it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.44it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.52it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.87it/s] 100%|██████████| 23/23 [00:09<00:00, 3.29it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/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
1 perfect beautiful 30 years old beautiful milf,upperbody from side,in fantasy style,elf ears, (brown long hair: 1.6),(light curvy hair:1.6), detailed hair accessories,(natural big breasts:1.6),detailed dress with jewelry, in the forest, dim light,The dress is a vision of pure, unadulterated elegance, crafted from the finest silk that falls gracefully to the floor. The bodice is fitted, accentuating the wearer's figure, and is adorned with intricate lace detailing that adds a touch of sophistication and femininity. The sleeves are sheer, billowing out slightly before tapering at the wrists, and the back dips into a low V, adding a hint of allure. The skirt of the dress is a masterpiece in itself. It flows out from the waist in a gentle A-line, the silk cascading like a waterfall. The hem is edged with a delicate lace trim that mirrors the detailing on the bodice, tying the whole design together. To complement this exquisite dress, a set of jewelry accessories has been carefully selected. A delicate diamond necklace rests against the collarbone, its sparkle subtly reflecting the light. The earrings are teardrop-shaped diamonds, their brilliance matching that of the necklace. A thin, elegant bracelet encircles the wrist, its simplicity serving to highlight the beauty of the dress rather than detract from it. Finally, a diamond-encrusted hairpin is tucked into the wearer's hair, adding a final touch of glamour to the ensemble
negative_prompt
Specify things to not see in the output
(more than 2 arms), EasyNegativeV2, By bad artist -neg, bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask
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.
848374184
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 SDE Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
8
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
By bad artist -neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/808f6d00cde14fa5b4cbdd9996159fed/00000-848374184.webp
https://files.tungsten.run/uploads/360958210ee34a09be1af75c6081abb7/00001-848374185.webp
https://files.tungsten.run/uploads/f0d4a2dcf9244d10a44a941a16799a95/00002-848374186.webp
https://files.tungsten.run/uploads/5cba82ba5f424907b464d3732809bd08/00003-848374187.webp
Finished in 133.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: 1 perfect beautiful 30 years old beautiful milf,upperbody from side,in fantasy style,elf ears, (brown long hair: 1.6),(light curvy hair:1.6), detailed hair accessories,(natural big breasts:1.6),detailed dress with jewelry, in the forest, dim light,The dress is a vision of pure, unadulterated elegance, crafted from the finest silk that falls gracefully to the floor. The bodice is fitted, accentuating the wearer's figure, and is adorned with intricate lace detailing that adds a touch of sophistication and femininity. The sleeves are sheer, billowing out slightly before tapering at the wrists, and the back dips into a low V, adding a hint of allure. The skirt of the dress is a masterpiece in itself. It flows out from the waist in a gentle A-line, the silk cascading like a waterfall. The hem is edged with a delicate lace trim that mirrors the detailing on the bodice, tying the whole design together. To complement this exquisite dress, a set of jewelry accessories has been carefully selected. A delicate diamond necklace rests against the collarbone, its sparkle subtly reflecting the light. The earrings are teardrop-shaped diamonds, their brilliance matching that of the necklace. A thin, elegant bracelet encircles the wrist, its simplicity serving to highlight the beauty of the dress rather than detract from it. Finally, a diamond-encrusted hairpin is tucked into the wearer's hair, adding a final touch of glamour to the ensemble Full negative prompt: (more than 2 arms), EasyNegativeV2, By bad artist -neg, bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:53, 1.36s/it] 5%|▌ | 2/40 [00:02<00:57, 1.51s/it] 8%|▊ | 3/40 [00:04<01:01, 1.67s/it] 10%|█ | 4/40 [00:06<01:02, 1.74s/it] 12%|█▎ | 5/40 [00:08<01:01, 1.76s/it] 15%|█▌ | 6/40 [00:10<01:00, 1.79s/it] 18%|█▊ | 7/40 [00:11<00:57, 1.75s/it] 20%|██ | 8/40 [00:13<00:55, 1.72s/it] 22%|██▎ | 9/40 [00:15<00:55, 1.78s/it] 25%|██▌ | 10/40 [00:17<00:53, 1.78s/it] 28%|██▊ | 11/40 [00:19<00:51, 1.78s/it] 30%|███ | 12/40 [00:20<00:49, 1.78s/it] 32%|███▎ | 13/40 [00:22<00:48, 1.78s/it] 35%|███▌ | 14/40 [00:24<00:46, 1.78s/it] 38%|███▊ | 15/40 [00:26<00:44, 1.77s/it] 40%|████ | 16/40 [00:27<00:41, 1.74s/it] 42%|████▎ | 17/40 [00:29<00:40, 1.75s/it] 45%|████▌ | 18/40 [00:31<00:38, 1.74s/it] 48%|████▊ | 19/40 [00:33<00:36, 1.74s/it] 50%|█████ | 20/40 [00:34<00:34, 1.71s/it] 52%|█████▎ | 21/40 [00:36<00:31, 1.66s/it] 55%|█████▌ | 22/40 [00:37<00:29, 1.66s/it] 57%|█████▊ | 23/40 [00:39<00:28, 1.67s/it] 60%|██████ | 24/40 [00:41<00:26, 1.65s/it] 62%|██████▎ | 25/40 [00:42<00:24, 1.62s/it] 65%|██████▌ | 26/40 [00:44<00:23, 1.67s/it] 68%|██████▊ | 27/40 [00:46<00:21, 1.67s/it] 70%|███████ | 28/40 [00:47<00:20, 1.68s/it] 72%|███████▎ | 29/40 [00:49<00:17, 1.61s/it] 75%|███████▌ | 30/40 [00:51<00:16, 1.62s/it] 78%|███████▊ | 31/40 [00:52<00:14, 1.62s/it] 80%|████████ | 32/40 [00:54<00:12, 1.56s/it] 82%|████████▎ | 33/40 [00:55<00:10, 1.56s/it] 85%|████████▌ | 34/40 [00:57<00:09, 1.50s/it] 88%|████████▊ | 35/40 [00:58<00:07, 1.54s/it] 90%|█████████ | 36/40 [01:00<00:05, 1.50s/it] 92%|█████████▎| 37/40 [01:01<00:04, 1.48s/it] 95%|█████████▌| 38/40 [01:02<00:02, 1.43s/it] 98%|█████████▊| 39/40 [01:03<00:01, 1.24s/it] 100%|██████████| 40/40 [01:04<00:00, 1.05s/it] 100%|██████████| 40/40 [01:04<00:00, 1.61s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.6ms preprocess, 7.6ms inference, 25.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:14, 1.53it/s] 9%|▊ | 2/23 [00:01<00:11, 1.80it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.97it/s] 17%|█▋ | 4/23 [00:02<00:09, 2.10it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.14it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.14it/s] 30%|███ | 7/23 [00:03<00:07, 2.19it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.16it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.27it/s] 57%|█████▋ | 13/23 [00:06<00:04, 2.26it/s] 61%|██████ | 14/23 [00:06<00:03, 2.26it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.33it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.33it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.42it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.42it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.43it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.49it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.83it/s] 100%|██████████| 23/23 [00:09<00:00, 3.24it/s] 100%|██████████| 23/23 [00:09<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.11it/s] 9%|▊ | 2/23 [00:00<00:10, 2.10it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.15it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.22it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.18it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.18it/s] 30%|███ | 7/23 [00:03<00:07, 2.18it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.24it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.17it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.18it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.18it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.25it/s] 61%|██████ | 14/23 [00:06<00:04, 2.23it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.31it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.39it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.34it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.40it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.43it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.84it/s] 100%|██████████| 23/23 [00:09<00:00, 3.27it/s] 100%|██████████| 23/23 [00:09<00:00, 2.39it/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%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.01it/s] 9%|▊ | 2/23 [00:00<00:10, 2.09it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.15it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.22it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.20it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.14it/s] 30%|███ | 7/23 [00:03<00:07, 2.19it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.24it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.16it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.18it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.17it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.27it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.24it/s] 61%|██████ | 14/23 [00:06<00:04, 2.24it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.31it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.30it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.40it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.41it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.45it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.53it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.88it/s] 100%|██████████| 23/23 [00:09<00:00, 3.31it/s] 100%|██████████| 23/23 [00:09<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.13it/s] 9%|▊ | 2/23 [00:00<00:09, 2.13it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.18it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.23it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.20it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.19it/s] 30%|███ | 7/23 [00:03<00:07, 2.22it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.26it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.18it/s] 43%|████▎ | 10/23 [00:04<00:06, 2.15it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.25it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.25it/s] 61%|██████ | 14/23 [00:06<00:03, 2.26it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.34it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.33it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.42it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.41it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.43it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.84it/s] 100%|██████████| 23/23 [00:09<00:00, 3.28it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.41s 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%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.15it/s] 9%|▊ | 2/23 [00:00<00:09, 2.11it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.20it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.20it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.17it/s] 30%|███ | 7/23 [00:03<00:07, 2.21it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.25it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.20it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.17it/s] 48%|████▊ | 11/23 [00:05<00:05, 2.16it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.25it/s] 61%|██████ | 14/23 [00:06<00:04, 2.24it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:07<00:03, 2.29it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.39it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.34it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.41it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.44it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.52it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.87it/s] 100%|██████████| 23/23 [00:09<00:00, 3.29it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.