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Lingerie with Pony photo real merge x3 v1.0
Pony photo real merge x3:v1.0
sparks
sparks
·
Jul 19
80
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_photo, source_real, lateral view, 1girl, supermodel, perfect face, young, big breasts, narrow waist, widehips, slim, short hair, rei no himo, covered nipples, white camisole, white lowleg lace panties, cameltoe, (light smile:0.5), lying on bed, posing, window,
negative_prompt
Specify things to not see in the output
PonyDetail_V20
Pony Detail V20
1
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.4
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
32
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
Euler a
samping_steps
Number of denoising steps
31
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.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/3f77c0ad8b904311be358dcd5a0ff71d/output-0c6ed0b041124d7e81449226fddf6bcf-00000-32.webp
https://files.tungsten.run/uploads/4c3431ecfa0f4a81bc01869cfe06c26e/output-344fac02cf6542398581a64d5e530957-00001-33.webp
https://files.tungsten.run/uploads/b7c5766753394c109f98e434b3a6afa7/output-59d498983a394203b5fc2fa679f26c6a-00002-34.webp
Finished in 104.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_photo, source_real, lateral view, 1girl, supermodel, perfect face, young, big breasts, narrow waist, widehips, slim, short hair, rei no himo, covered nipples, white camisole, white lowleg lace panties, cameltoe, (light smile:0.5), lying on bed, posing, window,, <lora:Pony_DetailV2.0:1.0> Full negative prompt: 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:02<01:21, 2.71s/it] 6%|▋ | 2/31 [00:04<00:58, 2.01s/it] 10%|▉ | 3/31 [00:05<00:50, 1.79s/it] 13%|█▎ | 4/31 [00:07<00:45, 1.69s/it] 16%|█▌ | 5/31 [00:08<00:42, 1.64s/it] 19%|█▉ | 6/31 [00:10<00:40, 1.61s/it] 23%|██▎ | 7/31 [00:11<00:38, 1.59s/it] 26%|██▌ | 8/31 [00:13<00:36, 1.58s/it] 29%|██▉ | 9/31 [00:15<00:34, 1.57s/it] 32%|███▏ | 10/31 [00:16<00:32, 1.57s/it] 35%|███▌ | 11/31 [00:18<00:31, 1.57s/it] 39%|███▊ | 12/31 [00:19<00:29, 1.57s/it] 42%|████▏ | 13/31 [00:21<00:28, 1.57s/it] 45%|████▌ | 14/31 [00:22<00:26, 1.57s/it] 48%|████▊ | 15/31 [00:24<00:25, 1.57s/it] 52%|█████▏ | 16/31 [00:26<00:23, 1.58s/it] 55%|█████▍ | 17/31 [00:27<00:22, 1.58s/it] 58%|█████▊ | 18/31 [00:29<00:20, 1.58s/it] 61%|██████▏ | 19/31 [00:30<00:18, 1.58s/it] 65%|██████▍ | 20/31 [00:32<00:17, 1.57s/it] 68%|██████▊ | 21/31 [00:33<00:15, 1.57s/it] 71%|███████ | 22/31 [00:35<00:14, 1.57s/it] 74%|███████▍ | 23/31 [00:37<00:12, 1.57s/it] 77%|███████▋ | 24/31 [00:38<00:10, 1.57s/it] 81%|████████ | 25/31 [00:40<00:09, 1.56s/it] 84%|████████▍ | 26/31 [00:41<00:07, 1.56s/it] 87%|████████▋ | 27/31 [00:43<00:06, 1.56s/it] 90%|█████████ | 28/31 [00:44<00:04, 1.56s/it] 94%|█████████▎| 29/31 [00:46<00:03, 1.56s/it] 97%|█████████▋| 30/31 [00:47<00:01, 1.55s/it] 100%|██████████| 31/31 [00:49<00:00, 1.54s/it] 100%|██████████| 31/31 [00:49<00:00, 1.60s/it] Decoding latents in cuda:0... done in 2.88s Move latents to cpu... done in 0.03s 0: 640x480 2 faces, 155.3ms Speed: 2.4ms preprocess, 155.3ms inference, 30.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:09, 1.33it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.48it/s] 23%|██▎ | 3/13 [00:02<00:06, 1.53it/s] 31%|███ | 4/13 [00:02<00:05, 1.55it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.57it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.57it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.54it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.55it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.56it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.57it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.57it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.56it/s] 100%|██████████| 13/13 [00:08<00:00, 1.57it/s] 100%|██████████| 13/13 [00:08<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.58it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.59it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.58it/s] 31%|███ | 4/13 [00:02<00:05, 1.59it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.58it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.59it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.59it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.58it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.58it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.59it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.60it/s] 100%|██████████| 13/13 [00:08<00:00, 1.60it/s] 100%|██████████| 13/13 [00:08<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.0ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.58it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.50it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.54it/s] 31%|███ | 4/13 [00:02<00:05, 1.55it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.56it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.57it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.57it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.57it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.58it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.56it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.56it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.57it/s] 100%|██████████| 13/13 [00:08<00:00, 1.58it/s] 100%|██████████| 13/13 [00:08<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.0ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.58it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.57it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.58it/s] 31%|███ | 4/13 [00:02<00:05, 1.58it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.59it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.59it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.58it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.59it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.59it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.56it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.57it/s] 100%|██████████| 13/13 [00:08<00:00, 1.58it/s] 100%|██████████| 13/13 [00:08<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_photo, source_real, lateral view, 1girl, supermodel, perfect face, young, big breasts, narrow waist, widehips, slim, short hair, rei no himo, covered nipples, white camisole, white lowleg lace panties, cameltoe, (light smile:0.5), lying on bed, posing, window,
negative_prompt
Specify things to not see in the output
PonyDetail_V20
Pony Detail V20
1
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.4
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
32
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
Euler a
samping_steps
Number of denoising steps
31
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.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/3f77c0ad8b904311be358dcd5a0ff71d/output-0c6ed0b041124d7e81449226fddf6bcf-00000-32.webp
https://files.tungsten.run/uploads/4c3431ecfa0f4a81bc01869cfe06c26e/output-344fac02cf6542398581a64d5e530957-00001-33.webp
https://files.tungsten.run/uploads/b7c5766753394c109f98e434b3a6afa7/output-59d498983a394203b5fc2fa679f26c6a-00002-34.webp
Finished in 104.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_photo, source_real, lateral view, 1girl, supermodel, perfect face, young, big breasts, narrow waist, widehips, slim, short hair, rei no himo, covered nipples, white camisole, white lowleg lace panties, cameltoe, (light smile:0.5), lying on bed, posing, window,, <lora:Pony_DetailV2.0:1.0> Full negative prompt: 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:02<01:21, 2.71s/it] 6%|▋ | 2/31 [00:04<00:58, 2.01s/it] 10%|▉ | 3/31 [00:05<00:50, 1.79s/it] 13%|█▎ | 4/31 [00:07<00:45, 1.69s/it] 16%|█▌ | 5/31 [00:08<00:42, 1.64s/it] 19%|█▉ | 6/31 [00:10<00:40, 1.61s/it] 23%|██▎ | 7/31 [00:11<00:38, 1.59s/it] 26%|██▌ | 8/31 [00:13<00:36, 1.58s/it] 29%|██▉ | 9/31 [00:15<00:34, 1.57s/it] 32%|███▏ | 10/31 [00:16<00:32, 1.57s/it] 35%|███▌ | 11/31 [00:18<00:31, 1.57s/it] 39%|███▊ | 12/31 [00:19<00:29, 1.57s/it] 42%|████▏ | 13/31 [00:21<00:28, 1.57s/it] 45%|████▌ | 14/31 [00:22<00:26, 1.57s/it] 48%|████▊ | 15/31 [00:24<00:25, 1.57s/it] 52%|█████▏ | 16/31 [00:26<00:23, 1.58s/it] 55%|█████▍ | 17/31 [00:27<00:22, 1.58s/it] 58%|█████▊ | 18/31 [00:29<00:20, 1.58s/it] 61%|██████▏ | 19/31 [00:30<00:18, 1.58s/it] 65%|██████▍ | 20/31 [00:32<00:17, 1.57s/it] 68%|██████▊ | 21/31 [00:33<00:15, 1.57s/it] 71%|███████ | 22/31 [00:35<00:14, 1.57s/it] 74%|███████▍ | 23/31 [00:37<00:12, 1.57s/it] 77%|███████▋ | 24/31 [00:38<00:10, 1.57s/it] 81%|████████ | 25/31 [00:40<00:09, 1.56s/it] 84%|████████▍ | 26/31 [00:41<00:07, 1.56s/it] 87%|████████▋ | 27/31 [00:43<00:06, 1.56s/it] 90%|█████████ | 28/31 [00:44<00:04, 1.56s/it] 94%|█████████▎| 29/31 [00:46<00:03, 1.56s/it] 97%|█████████▋| 30/31 [00:47<00:01, 1.55s/it] 100%|██████████| 31/31 [00:49<00:00, 1.54s/it] 100%|██████████| 31/31 [00:49<00:00, 1.60s/it] Decoding latents in cuda:0... done in 2.88s Move latents to cpu... done in 0.03s 0: 640x480 2 faces, 155.3ms Speed: 2.4ms preprocess, 155.3ms inference, 30.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:09, 1.33it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.48it/s] 23%|██▎ | 3/13 [00:02<00:06, 1.53it/s] 31%|███ | 4/13 [00:02<00:05, 1.55it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.57it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.57it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.54it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.55it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.56it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.57it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.57it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.56it/s] 100%|██████████| 13/13 [00:08<00:00, 1.57it/s] 100%|██████████| 13/13 [00:08<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.58it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.59it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.58it/s] 31%|███ | 4/13 [00:02<00:05, 1.59it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.58it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.59it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.59it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.58it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.58it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.59it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.60it/s] 100%|██████████| 13/13 [00:08<00:00, 1.60it/s] 100%|██████████| 13/13 [00:08<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.0ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.58it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.50it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.54it/s] 31%|███ | 4/13 [00:02<00:05, 1.55it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.56it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.57it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.57it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.57it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.58it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.56it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.56it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.57it/s] 100%|██████████| 13/13 [00:08<00:00, 1.58it/s] 100%|██████████| 13/13 [00:08<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.0ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.58it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.57it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.58it/s] 31%|███ | 4/13 [00:02<00:05, 1.58it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.59it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.59it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.58it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.59it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.59it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.56it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.57it/s] 100%|██████████| 13/13 [00:08<00:00, 1.58it/s] 100%|██████████| 13/13 [00:08<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s Uploading files.. Finished.