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Half Latino Half Asian Girl with Real Life
real-life:v4.0
evevalentine2017
evevalentine2017
·
Apr 11
150
Input
prompt
Specify things to see in the output
(8k, RAW photo, highest quality), upper body portrait of a half latina half asian student, sassy, Crochet halter top, high-waisted denim shorts, Pink V-shaped cut, Athletic-Plus body shape, Ballroom, warm golden hour lighting, extremely high-resolution details, photographic, realism pushed to extreme, fine texture, 4k, ultra-detailed, high quality, high contrast
negative_prompt
Specify things to not see in the output
render, cartoon, cgi, render, illustration, painting, drawing
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
964595410
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
40
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/e385fe88e3924e93b6be5e5054145e21/00000-964595410.webp
https://files.tungsten.run/uploads/48eb55a5ea9748f9b4d0314dd996f4ee/00001-964595411.webp
https://files.tungsten.run/uploads/839c8e4743b2448a8b1797f5f31dd0b5/00002-964595412.webp
https://files.tungsten.run/uploads/ef835313207243e49ae787d82022f78e/00003-964595413.webp
Finished in 69.5 seconds
Preparing inputs... Processing... Full prompt: (8k, RAW photo, highest quality), upper body portrait of a half latina half asian student, sassy, Crochet halter top, high-waisted denim shorts, Pink V-shaped cut, Athletic-Plus body shape, Ballroom, warm golden hour lighting, extremely high-resolution details, photographic, realism pushed to extreme, fine texture, 4k, ultra-detailed, high quality, high contrast Full negative prompt: render, cartoon, cgi, render, illustration, painting, drawing 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:23, 1.67it/s] 5%|▌ | 2/40 [00:01<00:23, 1.62it/s] 8%|▊ | 3/40 [00:01<00:22, 1.62it/s] 10%|█ | 4/40 [00:02<00:22, 1.61it/s] 12%|█▎ | 5/40 [00:03<00:21, 1.60it/s] 15%|█▌ | 6/40 [00:03<00:21, 1.60it/s] 18%|█▊ | 7/40 [00:04<00:20, 1.60it/s] 20%|██ | 8/40 [00:04<00:20, 1.60it/s] 22%|██▎ | 9/40 [00:05<00:19, 1.60it/s] 25%|██▌ | 10/40 [00:06<00:18, 1.59it/s] 28%|██▊ | 11/40 [00:06<00:18, 1.59it/s] 30%|███ | 12/40 [00:07<00:17, 1.59it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.59it/s] 35%|███▌ | 14/40 [00:08<00:16, 1.59it/s] 38%|███▊ | 15/40 [00:09<00:15, 1.59it/s] 40%|████ | 16/40 [00:10<00:15, 1.59it/s] 42%|████▎ | 17/40 [00:10<00:14, 1.59it/s] 45%|████▌ | 18/40 [00:11<00:13, 1.59it/s] 48%|████▊ | 19/40 [00:11<00:13, 1.59it/s] 50%|█████ | 20/40 [00:12<00:12, 1.59it/s] 52%|█████▎ | 21/40 [00:13<00:11, 1.58it/s] 55%|█████▌ | 22/40 [00:13<00:11, 1.59it/s] 57%|█████▊ | 23/40 [00:14<00:10, 1.58it/s] 60%|██████ | 24/40 [00:15<00:10, 1.58it/s] 62%|██████▎ | 25/40 [00:15<00:09, 1.58it/s] 65%|██████▌ | 26/40 [00:16<00:08, 1.58it/s] 68%|██████▊ | 27/40 [00:16<00:08, 1.58it/s] 70%|███████ | 28/40 [00:17<00:07, 1.58it/s] 72%|███████▎ | 29/40 [00:18<00:06, 1.58it/s] 75%|███████▌ | 30/40 [00:18<00:06, 1.58it/s] 78%|███████▊ | 31/40 [00:19<00:05, 1.58it/s] 80%|████████ | 32/40 [00:20<00:05, 1.58it/s] 82%|████████▎ | 33/40 [00:20<00:04, 1.59it/s] 85%|████████▌ | 34/40 [00:21<00:03, 1.59it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.59it/s] 90%|█████████ | 36/40 [00:22<00:02, 1.59it/s] 92%|█████████▎| 37/40 [00:23<00:01, 1.59it/s] 95%|█████████▌| 38/40 [00:23<00:01, 1.59it/s] 98%|█████████▊| 39/40 [00:24<00:00, 1.59it/s] 100%|██████████| 40/40 [00:25<00:00, 1.59it/s] 100%|██████████| 40/40 [00:25<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.01s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:03, 4.59it/s] 11%|█ | 2/19 [00:00<00:03, 4.57it/s] 16%|█▌ | 3/19 [00:00<00:03, 4.61it/s] 21%|██ | 4/19 [00:00<00:03, 4.61it/s] 26%|██▋ | 5/19 [00:01<00:03, 4.51it/s] 32%|███▏ | 6/19 [00:01<00:02, 4.70it/s] 37%|███▋ | 7/19 [00:01<00:02, 4.81it/s] 42%|████▏ | 8/19 [00:01<00:02, 4.90it/s] 47%|████▋ | 9/19 [00:01<00:02, 4.92it/s] 53%|█████▎ | 10/19 [00:02<00:01, 4.88it/s] 58%|█████▊ | 11/19 [00:02<00:01, 4.86it/s] 63%|██████▎ | 12/19 [00:02<00:01, 4.93it/s] 68%|██████▊ | 13/19 [00:02<00:01, 4.98it/s] 74%|███████▎ | 14/19 [00:02<00:01, 4.94it/s] 79%|███████▉ | 15/19 [00:03<00:00, 4.82it/s] 84%|████████▍ | 16/19 [00:03<00:00, 4.84it/s] 89%|████████▉ | 17/19 [00:03<00:00, 4.85it/s] 95%|█████████▍| 18/19 [00:03<00:00, 4.86it/s] 100%|██████████| 19/19 [00:03<00:00, 4.87it/s] 100%|██████████| 19/19 [00:03<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s
prompt
Specify things to see in the output
(8k, RAW photo, highest quality), upper body portrait of a half latina half asian student, sassy, Crochet halter top, high-waisted denim shorts, Pink V-shaped cut, Athletic-Plus body shape, Ballroom, warm golden hour lighting, extremely high-resolution details, photographic, realism pushed to extreme, fine texture, 4k, ultra-detailed, high quality, high contrast
negative_prompt
Specify things to not see in the output
render, cartoon, cgi, render, illustration, painting, drawing
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
964595410
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
40
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/e385fe88e3924e93b6be5e5054145e21/00000-964595410.webp
https://files.tungsten.run/uploads/48eb55a5ea9748f9b4d0314dd996f4ee/00001-964595411.webp
https://files.tungsten.run/uploads/839c8e4743b2448a8b1797f5f31dd0b5/00002-964595412.webp
https://files.tungsten.run/uploads/ef835313207243e49ae787d82022f78e/00003-964595413.webp
Finished in 69.5 seconds
Preparing inputs... Processing... Full prompt: (8k, RAW photo, highest quality), upper body portrait of a half latina half asian student, sassy, Crochet halter top, high-waisted denim shorts, Pink V-shaped cut, Athletic-Plus body shape, Ballroom, warm golden hour lighting, extremely high-resolution details, photographic, realism pushed to extreme, fine texture, 4k, ultra-detailed, high quality, high contrast Full negative prompt: render, cartoon, cgi, render, illustration, painting, drawing 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:23, 1.67it/s] 5%|▌ | 2/40 [00:01<00:23, 1.62it/s] 8%|▊ | 3/40 [00:01<00:22, 1.62it/s] 10%|█ | 4/40 [00:02<00:22, 1.61it/s] 12%|█▎ | 5/40 [00:03<00:21, 1.60it/s] 15%|█▌ | 6/40 [00:03<00:21, 1.60it/s] 18%|█▊ | 7/40 [00:04<00:20, 1.60it/s] 20%|██ | 8/40 [00:04<00:20, 1.60it/s] 22%|██▎ | 9/40 [00:05<00:19, 1.60it/s] 25%|██▌ | 10/40 [00:06<00:18, 1.59it/s] 28%|██▊ | 11/40 [00:06<00:18, 1.59it/s] 30%|███ | 12/40 [00:07<00:17, 1.59it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.59it/s] 35%|███▌ | 14/40 [00:08<00:16, 1.59it/s] 38%|███▊ | 15/40 [00:09<00:15, 1.59it/s] 40%|████ | 16/40 [00:10<00:15, 1.59it/s] 42%|████▎ | 17/40 [00:10<00:14, 1.59it/s] 45%|████▌ | 18/40 [00:11<00:13, 1.59it/s] 48%|████▊ | 19/40 [00:11<00:13, 1.59it/s] 50%|█████ | 20/40 [00:12<00:12, 1.59it/s] 52%|█████▎ | 21/40 [00:13<00:11, 1.58it/s] 55%|█████▌ | 22/40 [00:13<00:11, 1.59it/s] 57%|█████▊ | 23/40 [00:14<00:10, 1.58it/s] 60%|██████ | 24/40 [00:15<00:10, 1.58it/s] 62%|██████▎ | 25/40 [00:15<00:09, 1.58it/s] 65%|██████▌ | 26/40 [00:16<00:08, 1.58it/s] 68%|██████▊ | 27/40 [00:16<00:08, 1.58it/s] 70%|███████ | 28/40 [00:17<00:07, 1.58it/s] 72%|███████▎ | 29/40 [00:18<00:06, 1.58it/s] 75%|███████▌ | 30/40 [00:18<00:06, 1.58it/s] 78%|███████▊ | 31/40 [00:19<00:05, 1.58it/s] 80%|████████ | 32/40 [00:20<00:05, 1.58it/s] 82%|████████▎ | 33/40 [00:20<00:04, 1.59it/s] 85%|████████▌ | 34/40 [00:21<00:03, 1.59it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.59it/s] 90%|█████████ | 36/40 [00:22<00:02, 1.59it/s] 92%|█████████▎| 37/40 [00:23<00:01, 1.59it/s] 95%|█████████▌| 38/40 [00:23<00:01, 1.59it/s] 98%|█████████▊| 39/40 [00:24<00:00, 1.59it/s] 100%|██████████| 40/40 [00:25<00:00, 1.59it/s] 100%|██████████| 40/40 [00:25<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.01s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:03, 4.59it/s] 11%|█ | 2/19 [00:00<00:03, 4.57it/s] 16%|█▌ | 3/19 [00:00<00:03, 4.61it/s] 21%|██ | 4/19 [00:00<00:03, 4.61it/s] 26%|██▋ | 5/19 [00:01<00:03, 4.51it/s] 32%|███▏ | 6/19 [00:01<00:02, 4.70it/s] 37%|███▋ | 7/19 [00:01<00:02, 4.81it/s] 42%|████▏ | 8/19 [00:01<00:02, 4.90it/s] 47%|████▋ | 9/19 [00:01<00:02, 4.92it/s] 53%|█████▎ | 10/19 [00:02<00:01, 4.88it/s] 58%|█████▊ | 11/19 [00:02<00:01, 4.86it/s] 63%|██████▎ | 12/19 [00:02<00:01, 4.93it/s] 68%|██████▊ | 13/19 [00:02<00:01, 4.98it/s] 74%|███████▎ | 14/19 [00:02<00:01, 4.94it/s] 79%|███████▉ | 15/19 [00:03<00:00, 4.82it/s] 84%|████████▍ | 16/19 [00:03<00:00, 4.84it/s] 89%|████████▉ | 17/19 [00:03<00:00, 4.85it/s] 95%|█████████▍| 18/19 [00:03<00:00, 4.86it/s] 100%|██████████| 19/19 [00:03<00:00, 4.87it/s] 100%|██████████| 19/19 [00:03<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s