Cute Girl with SDVN6-RealXL
Input
prompt
Specify things to see in the output
Impressionist Photographic,(full side body),girl behind the curtain, sunlight coming through the window,(sit),(Hyper-realism),(realistic white skin),(Absolutely detailed photos),(sharp focus),18yo cute german girl, slender, pretty face, best detailed face, subcutaneous vein, Detailed vivid iris and pupil, impressive light, white man's shirt, detailed the cloth, messy hair, low saturation, skin fluff, fine wrinkles, (natural skin blemishes:0.5), (freckles:0.5),high contrast, best Ray tracing, light and shadow play, highly detailed,24mm photograph, film, bokeh, professional, 4k,grab breasts, haughty attitude, smooth swollen nipples, dust, glaring, film grain
negative_prompt
Specify things to not see in the output
worst quality, extra fingers, missing fingers, poorly rendered hands, mutation, deformed iris, deformed pupils, deformed limbs, missing limbs, amputee, amputated limbs, watermark, logo , text, piercing, big eyes , teeth, cartoon, shallow depth of field, makeup
num_outputs
Number of output images
3
width
Output image width
800
height
Output image height
1200
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
957269355
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
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
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/80737284cd5a478084b392cdc7c399cc/00000-957269355.webp
https://files.tungsten.run/uploads/cd72a54146df448190480fc1521dc254/00001-957269356.webp
https://files.tungsten.run/uploads/a124ee61923f47c1b429f0353da8717e/00002-957269357.webp
Finished in 86.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Impressionist Photographic,(full side body),girl behind the curtain, sunlight coming through the window,(sit),(Hyper-realism),(realistic white skin),(Absolutely detailed photos),(sharp focus),18yo cute german girl, slender, pretty face, best detailed face, subcutaneous vein, Detailed vivid iris and pupil, impressive light, white man's shirt, detailed the cloth, messy hair, low saturation, skin fluff, fine wrinkles, (natural skin blemishes:0.5), (freckles:0.5),high contrast, best Ray tracing, light and shadow play, highly detailed,24mm photograph, film, bokeh, professional, 4k,grab breasts, haughty attitude, smooth swollen nipples, dust, glaring, film grain, <lora:add-detail-xl:1.5> Full negative prompt: worst quality, extra fingers, missing fingers, poorly rendered hands, mutation, deformed iris, deformed pupils, deformed limbs, missing limbs, amputee, amputated limbs, watermark, logo , text, piercing, big eyes , teeth, cartoon, shallow depth of field, makeup 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:20, 2.76s/it] 7%|▋ | 2/30 [00:03<00:51, 1.85s/it] 10%|█ | 3/30 [00:05<00:42, 1.57s/it] 13%|█▎ | 4/30 [00:06<00:37, 1.43s/it] 17%|█▋ | 5/30 [00:07<00:34, 1.37s/it] 20%|██ | 6/30 [00:08<00:31, 1.33s/it] 23%|██▎ | 7/30 [00:10<00:29, 1.30s/it] 27%|██▋ | 8/30 [00:11<00:28, 1.27s/it] 30%|███ | 9/30 [00:12<00:26, 1.26s/it] 33%|███▎ | 10/30 [00:13<00:25, 1.25s/it] 37%|███▋ | 11/30 [00:15<00:23, 1.25s/it] 40%|████ | 12/30 [00:16<00:22, 1.24s/it] 43%|████▎ | 13/30 [00:17<00:21, 1.24s/it] 47%|████▋ | 14/30 [00:18<00:19, 1.24s/it] 50%|█████ | 15/30 [00:20<00:18, 1.24s/it] 53%|█████▎ | 16/30 [00:21<00:17, 1.24s/it] 57%|█████▋ | 17/30 [00:22<00:16, 1.24s/it] 60%|██████ | 18/30 [00:23<00:14, 1.24s/it] 63%|██████▎ | 19/30 [00:25<00:13, 1.25s/it] 67%|██████▋ | 20/30 [00:26<00:12, 1.25s/it] 70%|███████ | 21/30 [00:27<00:11, 1.25s/it] 73%|███████▎ | 22/30 [00:28<00:10, 1.25s/it] 77%|███████▋ | 23/30 [00:30<00:08, 1.25s/it] 80%|████████ | 24/30 [00:31<00:07, 1.26s/it] 83%|████████▎ | 25/30 [00:32<00:06, 1.25s/it] 87%|████████▋ | 26/30 [00:33<00:05, 1.25s/it] 90%|█████████ | 27/30 [00:35<00:03, 1.25s/it] 93%|█████████▎| 28/30 [00:36<00:02, 1.25s/it] 97%|█████████▋| 29/30 [00:37<00:01, 1.25s/it] 100%|██████████| 30/30 [00:38<00:00, 1.24s/it] 100%|██████████| 30/30 [00:38<00:00, 1.29s/it] Decoding latents in cuda:0... done in 2.26s Move latents to cpu... done in 0.03s 0: 640x448 1 face, 165.5ms Speed: 2.7ms preprocess, 165.5ms inference, 32.0ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.27it/s] 20%|██ | 2/10 [00:01<00:05, 1.37it/s] 30%|███ | 3/10 [00:02<00:04, 1.46it/s] 40%|████ | 4/10 [00:02<00:03, 1.50it/s] 50%|█████ | 5/10 [00:03<00:03, 1.53it/s] 60%|██████ | 6/10 [00:04<00:02, 1.54it/s] 70%|███████ | 7/10 [00:04<00:01, 1.57it/s] 80%|████████ | 8/10 [00:05<00:01, 1.60it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.60it/s] 100%|██████████| 10/10 [00:06<00:00, 1.62it/s] 100%|██████████| 10/10 [00:06<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.74s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 102.0ms Speed: 2.6ms preprocess, 102.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x448 1 face, 8.4ms Speed: 2.4ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.62it/s] 20%|██ | 2/10 [00:01<00:05, 1.56it/s] 30%|███ | 3/10 [00:01<00:04, 1.54it/s] 40%|████ | 4/10 [00:02<00:03, 1.55it/s] 50%|█████ | 5/10 [00:03<00:03, 1.56it/s] 60%|██████ | 6/10 [00:03<00:02, 1.57it/s] 70%|███████ | 7/10 [00:04<00:01, 1.59it/s] 80%|████████ | 8/10 [00:05<00:01, 1.59it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.53it/s] 100%|██████████| 10/10 [00:06<00:00, 1.56it/s] 100%|██████████| 10/10 [00:06<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x448 1 face, 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.57it/s] 20%|██ | 2/10 [00:01<00:05, 1.59it/s] 30%|███ | 3/10 [00:01<00:04, 1.60it/s] 40%|████ | 4/10 [00:02<00:03, 1.60it/s] 50%|█████ | 5/10 [00:03<00:03, 1.59it/s] 60%|██████ | 6/10 [00:03<00:02, 1.61it/s] 70%|███████ | 7/10 [00:04<00:01, 1.61it/s] 80%|████████ | 8/10 [00:04<00:01, 1.62it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.61it/s] 100%|██████████| 10/10 [00:06<00:00, 1.62it/s] 100%|██████████| 10/10 [00:06<00:00, 1.61it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s 0: 640x448 1 hand, 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.65it/s] 20%|██ | 2/10 [00:01<00:05, 1.40it/s] 30%|███ | 3/10 [00:02<00:05, 1.33it/s] 40%|████ | 4/10 [00:02<00:04, 1.43it/s] 50%|█████ | 5/10 [00:03<00:03, 1.49it/s] 60%|██████ | 6/10 [00:04<00:02, 1.53it/s] 70%|███████ | 7/10 [00:04<00:01, 1.55it/s] 80%|████████ | 8/10 [00:05<00:01, 1.54it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.54it/s] 100%|██████████| 10/10 [00:06<00:00, 1.54it/s] 100%|██████████| 10/10 [00:06<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Impressionist Photographic,(full side body),girl behind the curtain, sunlight coming through the window,(sit),(Hyper-realism),(realistic white skin),(Absolutely detailed photos),(sharp focus),18yo cute german girl, slender, pretty face, best detailed face, subcutaneous vein, Detailed vivid iris and pupil, impressive light, white man's shirt, detailed the cloth, messy hair, low saturation, skin fluff, fine wrinkles, (natural skin blemishes:0.5), (freckles:0.5),high contrast, best Ray tracing, light and shadow play, highly detailed,24mm photograph, film, bokeh, professional, 4k,grab breasts, haughty attitude, smooth swollen nipples, dust, glaring, film grain
negative_prompt
Specify things to not see in the output
worst quality, extra fingers, missing fingers, poorly rendered hands, mutation, deformed iris, deformed pupils, deformed limbs, missing limbs, amputee, amputated limbs, watermark, logo , text, piercing, big eyes , teeth, cartoon, shallow depth of field, makeup
num_outputs
Number of output images
3
width
Output image width
800
height
Output image height
1200
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
957269355
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
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
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/80737284cd5a478084b392cdc7c399cc/00000-957269355.webp
https://files.tungsten.run/uploads/cd72a54146df448190480fc1521dc254/00001-957269356.webp
https://files.tungsten.run/uploads/a124ee61923f47c1b429f0353da8717e/00002-957269357.webp
Finished in 86.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Impressionist Photographic,(full side body),girl behind the curtain, sunlight coming through the window,(sit),(Hyper-realism),(realistic white skin),(Absolutely detailed photos),(sharp focus),18yo cute german girl, slender, pretty face, best detailed face, subcutaneous vein, Detailed vivid iris and pupil, impressive light, white man's shirt, detailed the cloth, messy hair, low saturation, skin fluff, fine wrinkles, (natural skin blemishes:0.5), (freckles:0.5),high contrast, best Ray tracing, light and shadow play, highly detailed,24mm photograph, film, bokeh, professional, 4k,grab breasts, haughty attitude, smooth swollen nipples, dust, glaring, film grain, <lora:add-detail-xl:1.5> Full negative prompt: worst quality, extra fingers, missing fingers, poorly rendered hands, mutation, deformed iris, deformed pupils, deformed limbs, missing limbs, amputee, amputated limbs, watermark, logo , text, piercing, big eyes , teeth, cartoon, shallow depth of field, makeup 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:20, 2.76s/it] 7%|▋ | 2/30 [00:03<00:51, 1.85s/it] 10%|█ | 3/30 [00:05<00:42, 1.57s/it] 13%|█▎ | 4/30 [00:06<00:37, 1.43s/it] 17%|█▋ | 5/30 [00:07<00:34, 1.37s/it] 20%|██ | 6/30 [00:08<00:31, 1.33s/it] 23%|██▎ | 7/30 [00:10<00:29, 1.30s/it] 27%|██▋ | 8/30 [00:11<00:28, 1.27s/it] 30%|███ | 9/30 [00:12<00:26, 1.26s/it] 33%|███▎ | 10/30 [00:13<00:25, 1.25s/it] 37%|███▋ | 11/30 [00:15<00:23, 1.25s/it] 40%|████ | 12/30 [00:16<00:22, 1.24s/it] 43%|████▎ | 13/30 [00:17<00:21, 1.24s/it] 47%|████▋ | 14/30 [00:18<00:19, 1.24s/it] 50%|█████ | 15/30 [00:20<00:18, 1.24s/it] 53%|█████▎ | 16/30 [00:21<00:17, 1.24s/it] 57%|█████▋ | 17/30 [00:22<00:16, 1.24s/it] 60%|██████ | 18/30 [00:23<00:14, 1.24s/it] 63%|██████▎ | 19/30 [00:25<00:13, 1.25s/it] 67%|██████▋ | 20/30 [00:26<00:12, 1.25s/it] 70%|███████ | 21/30 [00:27<00:11, 1.25s/it] 73%|███████▎ | 22/30 [00:28<00:10, 1.25s/it] 77%|███████▋ | 23/30 [00:30<00:08, 1.25s/it] 80%|████████ | 24/30 [00:31<00:07, 1.26s/it] 83%|████████▎ | 25/30 [00:32<00:06, 1.25s/it] 87%|████████▋ | 26/30 [00:33<00:05, 1.25s/it] 90%|█████████ | 27/30 [00:35<00:03, 1.25s/it] 93%|█████████▎| 28/30 [00:36<00:02, 1.25s/it] 97%|█████████▋| 29/30 [00:37<00:01, 1.25s/it] 100%|██████████| 30/30 [00:38<00:00, 1.24s/it] 100%|██████████| 30/30 [00:38<00:00, 1.29s/it] Decoding latents in cuda:0... done in 2.26s Move latents to cpu... done in 0.03s 0: 640x448 1 face, 165.5ms Speed: 2.7ms preprocess, 165.5ms inference, 32.0ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.27it/s] 20%|██ | 2/10 [00:01<00:05, 1.37it/s] 30%|███ | 3/10 [00:02<00:04, 1.46it/s] 40%|████ | 4/10 [00:02<00:03, 1.50it/s] 50%|█████ | 5/10 [00:03<00:03, 1.53it/s] 60%|██████ | 6/10 [00:04<00:02, 1.54it/s] 70%|███████ | 7/10 [00:04<00:01, 1.57it/s] 80%|████████ | 8/10 [00:05<00:01, 1.60it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.60it/s] 100%|██████████| 10/10 [00:06<00:00, 1.62it/s] 100%|██████████| 10/10 [00:06<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.74s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 102.0ms Speed: 2.6ms preprocess, 102.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x448 1 face, 8.4ms Speed: 2.4ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.62it/s] 20%|██ | 2/10 [00:01<00:05, 1.56it/s] 30%|███ | 3/10 [00:01<00:04, 1.54it/s] 40%|████ | 4/10 [00:02<00:03, 1.55it/s] 50%|█████ | 5/10 [00:03<00:03, 1.56it/s] 60%|██████ | 6/10 [00:03<00:02, 1.57it/s] 70%|███████ | 7/10 [00:04<00:01, 1.59it/s] 80%|████████ | 8/10 [00:05<00:01, 1.59it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.53it/s] 100%|██████████| 10/10 [00:06<00:00, 1.56it/s] 100%|██████████| 10/10 [00:06<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x448 1 face, 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.57it/s] 20%|██ | 2/10 [00:01<00:05, 1.59it/s] 30%|███ | 3/10 [00:01<00:04, 1.60it/s] 40%|████ | 4/10 [00:02<00:03, 1.60it/s] 50%|█████ | 5/10 [00:03<00:03, 1.59it/s] 60%|██████ | 6/10 [00:03<00:02, 1.61it/s] 70%|███████ | 7/10 [00:04<00:01, 1.61it/s] 80%|████████ | 8/10 [00:04<00:01, 1.62it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.61it/s] 100%|██████████| 10/10 [00:06<00:00, 1.62it/s] 100%|██████████| 10/10 [00:06<00:00, 1.61it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s 0: 640x448 1 hand, 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.65it/s] 20%|██ | 2/10 [00:01<00:05, 1.40it/s] 30%|███ | 3/10 [00:02<00:05, 1.33it/s] 40%|████ | 4/10 [00:02<00:04, 1.43it/s] 50%|█████ | 5/10 [00:03<00:03, 1.49it/s] 60%|██████ | 6/10 [00:04<00:02, 1.53it/s] 70%|███████ | 7/10 [00:04<00:01, 1.55it/s] 80%|████████ | 8/10 [00:05<00:01, 1.54it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.54it/s] 100%|██████████| 10/10 [00:06<00:00, 1.54it/s] 100%|██████████| 10/10 [00:06<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.73s Move latents to cpu... done in 0.0s Uploading outputs... Finished.