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Blonde Girl in a Restaurant with Truality Engine
truality-engine:pro
evevalentine2017
evevalentine2017
·
Apr 14
158
Input
prompt
Specify things to see in the output
Headshot of 1 girl, (blonde hair :1.4), (skinny, slim, slender, toned upper body:1.4), very tall Tik Tok Model, (tanned, with very long toned legs, toned upper body, and abs, (slim), skinny and slender (narrow waist:1.3), long tight jeans and a sweater at a restaurant:1.4), realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, epiCPhoto, epiC35mm, <lora:epiC35mm:1>,
negative_prompt
Specify things to not see in the output
(CLEAVAGE:1.5), (NSFW:1.5), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, (piercing:1.3) (hands:1.35), epiCNegative, realisticvision-negative-embedding
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.
1012566128
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
35
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiC35mm.safetensors
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)
epiCNegative.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
epiCPhoto.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.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/66659dd4208940ec8c05ecba5f30cff7/00000-1012566128.webp
https://files.tungsten.run/uploads/da0e3c17a2e94cf7b648191a9ce5da67/00001-1012566129.webp
https://files.tungsten.run/uploads/79f52f72808b4e9db09d6e703733dddd/00002-1012566130.webp
https://files.tungsten.run/uploads/e79f639a833c41c783bac5f638e85e23/00003-1012566131.webp
Finished in 75.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Headshot of 1 girl, (blonde hair :1.4), (skinny, slim, slender, toned upper body:1.4), very tall Tik Tok Model, (tanned, with very long toned legs, toned upper body, and abs, (slim), skinny and slender (narrow waist:1.3), long tight jeans and a sweater at a restaurant:1.4), realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, epiCPhoto, epiC35mm, <lora:epiC35mm:1>, Full negative prompt: (CLEAVAGE:1.5), (NSFW:1.5), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, (piercing:1.3) (hands:1.35), epiCNegative, realisticvision-negative-embedding 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:32, 1.04it/s] 6%|▌ | 2/35 [00:01<00:25, 1.32it/s] 9%|▊ | 3/35 [00:02<00:22, 1.45it/s] 11%|█▏ | 4/35 [00:02<00:20, 1.51it/s] 14%|█▍ | 5/35 [00:03<00:19, 1.55it/s] 17%|█▋ | 6/35 [00:04<00:18, 1.57it/s] 20%|██ | 7/35 [00:04<00:17, 1.59it/s] 23%|██▎ | 8/35 [00:05<00:16, 1.59it/s] 26%|██▌ | 9/35 [00:05<00:16, 1.60it/s] 29%|██▊ | 10/35 [00:06<00:15, 1.60it/s] 31%|███▏ | 11/35 [00:07<00:14, 1.60it/s] 34%|███▍ | 12/35 [00:07<00:14, 1.61it/s] 37%|███▋ | 13/35 [00:08<00:13, 1.61it/s] 40%|████ | 14/35 [00:09<00:13, 1.61it/s] 43%|████▎ | 15/35 [00:09<00:12, 1.61it/s] 46%|████▌ | 16/35 [00:10<00:11, 1.61it/s] 49%|████▊ | 17/35 [00:10<00:11, 1.61it/s] 51%|█████▏ | 18/35 [00:11<00:10, 1.61it/s] 54%|█████▍ | 19/35 [00:12<00:09, 1.61it/s] 57%|█████▋ | 20/35 [00:12<00:09, 1.61it/s] 60%|██████ | 21/35 [00:13<00:08, 1.61it/s] 63%|██████▎ | 22/35 [00:13<00:08, 1.61it/s] 66%|██████▌ | 23/35 [00:14<00:07, 1.61it/s] 69%|██████▊ | 24/35 [00:15<00:06, 1.61it/s] 71%|███████▏ | 25/35 [00:15<00:06, 1.61it/s] 74%|███████▍ | 26/35 [00:16<00:05, 1.61it/s] 77%|███████▋ | 27/35 [00:17<00:04, 1.61it/s] 80%|████████ | 28/35 [00:17<00:04, 1.61it/s] 83%|████████▎ | 29/35 [00:18<00:03, 1.61it/s] 86%|████████▌ | 30/35 [00:18<00:03, 1.61it/s] 89%|████████▊ | 31/35 [00:19<00:02, 1.61it/s] 91%|█████████▏| 32/35 [00:20<00:01, 1.61it/s] 94%|█████████▍| 33/35 [00:20<00:01, 1.61it/s] 97%|█████████▋| 34/35 [00:21<00:00, 1.61it/s] 100%|██████████| 35/35 [00:22<00:00, 1.60it/s] 100%|██████████| 35/35 [00:22<00:00, 1.59it/s] Decoding latents in cuda:0... done in 1.61s Move latents to cpu... done in 0.01s
prompt
Specify things to see in the output
Headshot of 1 girl, (blonde hair :1.4), (skinny, slim, slender, toned upper body:1.4), very tall Tik Tok Model, (tanned, with very long toned legs, toned upper body, and abs, (slim), skinny and slender (narrow waist:1.3), long tight jeans and a sweater at a restaurant:1.4), realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, epiCPhoto, epiC35mm, <lora:epiC35mm:1>,
negative_prompt
Specify things to not see in the output
(CLEAVAGE:1.5), (NSFW:1.5), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, (piercing:1.3) (hands:1.35), epiCNegative, realisticvision-negative-embedding
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.
1012566128
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
35
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiC35mm.safetensors
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)
epiCNegative.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
epiCPhoto.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/66659dd4208940ec8c05ecba5f30cff7/00000-1012566128.webp
https://files.tungsten.run/uploads/da0e3c17a2e94cf7b648191a9ce5da67/00001-1012566129.webp
https://files.tungsten.run/uploads/79f52f72808b4e9db09d6e703733dddd/00002-1012566130.webp
https://files.tungsten.run/uploads/e79f639a833c41c783bac5f638e85e23/00003-1012566131.webp
Finished in 75.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Headshot of 1 girl, (blonde hair :1.4), (skinny, slim, slender, toned upper body:1.4), very tall Tik Tok Model, (tanned, with very long toned legs, toned upper body, and abs, (slim), skinny and slender (narrow waist:1.3), long tight jeans and a sweater at a restaurant:1.4), realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, epiCPhoto, epiC35mm, <lora:epiC35mm:1>, Full negative prompt: (CLEAVAGE:1.5), (NSFW:1.5), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, (piercing:1.3) (hands:1.35), epiCNegative, realisticvision-negative-embedding 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:32, 1.04it/s] 6%|▌ | 2/35 [00:01<00:25, 1.32it/s] 9%|▊ | 3/35 [00:02<00:22, 1.45it/s] 11%|█▏ | 4/35 [00:02<00:20, 1.51it/s] 14%|█▍ | 5/35 [00:03<00:19, 1.55it/s] 17%|█▋ | 6/35 [00:04<00:18, 1.57it/s] 20%|██ | 7/35 [00:04<00:17, 1.59it/s] 23%|██▎ | 8/35 [00:05<00:16, 1.59it/s] 26%|██▌ | 9/35 [00:05<00:16, 1.60it/s] 29%|██▊ | 10/35 [00:06<00:15, 1.60it/s] 31%|███▏ | 11/35 [00:07<00:14, 1.60it/s] 34%|███▍ | 12/35 [00:07<00:14, 1.61it/s] 37%|███▋ | 13/35 [00:08<00:13, 1.61it/s] 40%|████ | 14/35 [00:09<00:13, 1.61it/s] 43%|████▎ | 15/35 [00:09<00:12, 1.61it/s] 46%|████▌ | 16/35 [00:10<00:11, 1.61it/s] 49%|████▊ | 17/35 [00:10<00:11, 1.61it/s] 51%|█████▏ | 18/35 [00:11<00:10, 1.61it/s] 54%|█████▍ | 19/35 [00:12<00:09, 1.61it/s] 57%|█████▋ | 20/35 [00:12<00:09, 1.61it/s] 60%|██████ | 21/35 [00:13<00:08, 1.61it/s] 63%|██████▎ | 22/35 [00:13<00:08, 1.61it/s] 66%|██████▌ | 23/35 [00:14<00:07, 1.61it/s] 69%|██████▊ | 24/35 [00:15<00:06, 1.61it/s] 71%|███████▏ | 25/35 [00:15<00:06, 1.61it/s] 74%|███████▍ | 26/35 [00:16<00:05, 1.61it/s] 77%|███████▋ | 27/35 [00:17<00:04, 1.61it/s] 80%|████████ | 28/35 [00:17<00:04, 1.61it/s] 83%|████████▎ | 29/35 [00:18<00:03, 1.61it/s] 86%|████████▌ | 30/35 [00:18<00:03, 1.61it/s] 89%|████████▊ | 31/35 [00:19<00:02, 1.61it/s] 91%|█████████▏| 32/35 [00:20<00:01, 1.61it/s] 94%|█████████▍| 33/35 [00:20<00:01, 1.61it/s] 97%|█████████▋| 34/35 [00:21<00:00, 1.61it/s] 100%|██████████| 35/35 [00:22<00:00, 1.60it/s] 100%|██████████| 35/35 [00:22<00:00, 1.59it/s] Decoding latents in cuda:0... done in 1.61s Move latents to cpu... done in 0.01s