Girls by the Pool with Euphostain

euphostain:v1.0

evevalentine2017

12/12/2023

367

Run this yourself

Input

prompt

Specify things to see in the output

(masterpiece, best quality, hires, high resolution:1.2, 4k, 8k , high quality), extremely detailed, realistic, intricate details, highres, 1girl, solo, long hair, green eyes, blush, freckles, (large breasts, thick thighs, wide hips), arched back,(cinematic lighting, sunlight, perfect lighting, backlighting), eye-level shot, extreme close-up-shot, looking at viewer, swimming pool background, detailed eyes, brunette, swimsuit, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.8>

negative_prompt

Specify things to not see in the output

ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest, missing arm, nsfw, nude

num_outputs

Number of output images

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

brightness

Adjust brightness

contrast

Adjust contrast

saturation

Adjust saturation

seed

Same seed with the same prompt generates the same image. Set as -1 to randomize output.

1420170823

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.

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.

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.

sampler

Sampler type

DPM++ 2M Karras

samping_steps

Number of denoising steps

cfg_scale

Scale for classifier-free guidance

clip_skip

The number of last layers of CLIP network to skip

vae

Select VAE

clearvae_v2.3_fp16.safetensors

lora_1

LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>

FaceBeauty_qinglong_V3.safetensors

lora_2

LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>

add_detail.safetensors

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)

ng_deepnegative_v1_75t.pt

embedding_2

Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)

negative_hand-neg.pt

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/efa79a455043405490c858476de7915a/00000-1420170823.webp

https://files.tungsten.run/uploads/f093353360184134b2ab2a35dd37a274/00001-1420170824.webp

https://files.tungsten.run/uploads/bae1b41be91d4f319be8aec340b73b34/00002-1420170825.webp

https://files.tungsten.run/uploads/176ba443003f4c19948a09719de93cf6/00003-1420170826.webp

Finished in 36.9 seconds

Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (masterpiece, best quality, hires, high resolution:1.2, 4k, 8k , high quality), extremely detailed, realistic, intricate details, highres, 1girl, solo, long hair, green eyes, blush, freckles, (large breasts, thick thighs, wide hips), arched back,(cinematic lighting, sunlight, perfect lighting, backlighting), eye-level shot, extreme close-up-shot, looking at viewer, swimming pool background, detailed eyes, brunette, swimsuit, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest, missing arm, nsfw, nude 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:22, 1.20s/it] 10%|█ | 2/20 [00:01<00:15, 1.13it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.29it/s] 20%|██ | 4/20 [00:03<00:11, 1.36it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.41it/s] 30%|███ | 6/20 [00:04<00:09, 1.44it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.46it/s] 40%|████ | 8/20 [00:05<00:08, 1.47it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.48it/s] 50%|█████ | 10/20 [00:07<00:06, 1.48it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.49it/s] 60%|██████ | 12/20 [00:08<00:05, 1.49it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.49it/s] 70%|███████ | 14/20 [00:09<00:04, 1.49it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.49it/s] 80%|████████ | 16/20 [00:11<00:02, 1.49it/s] 85%|████████▌ | 17/20 [00:11<00:02, 1.49it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.49it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.49it/s] 100%|██████████| 20/20 [00:13<00:00, 1.49it/s] 100%|██████████| 20/20 [00:13<00:00, 1.44it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.4ms Speed: 10.4ms preprocess, 8.4ms inference, 37.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.31it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.71it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.41it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.80it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.05it/s] 50%|█████ | 6/12 [00:01<00:00, 6.13it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.16it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.19it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.26it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.34it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.12it/s] 100%|██████████| 12/12 [00:02<00:00, 6.22it/s] 100%|██████████| 12/12 [00:02<00:00, 5.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.92it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.69it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.62it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.57it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.33it/s] 50%|█████ | 6/12 [00:00<00:00, 6.34it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.29it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.33it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.39it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.43it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.44it/s] 100%|██████████| 12/12 [00:01<00:00, 6.34it/s] 100%|██████████| 12/12 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.90it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.67it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.60it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.59it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.57it/s] 50%|█████ | 6/12 [00:00<00:00, 6.45it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.38it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.37it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.41it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.45it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.48it/s] 100%|██████████| 12/12 [00:01<00:00, 6.47it/s] 100%|██████████| 12/12 [00:01<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.4ms Speed: 2.8ms preprocess, 9.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.30it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.47it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.51it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.53it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.56it/s] 50%|█████ | 6/12 [00:00<00:00, 6.45it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.39it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.29it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.35it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.43it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.46it/s] 100%|██████████| 12/12 [00:01<00:00, 6.43it/s] 100%|██████████| 12/12 [00:01<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.

prompt

Specify things to see in the output

negative_prompt

Specify things to not see in the output

num_outputs

Number of output images

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

brightness

Adjust brightness

contrast

Adjust contrast

saturation

Adjust saturation

seed

Same seed with the same prompt generates the same image. Set as -1 to randomize output.

1420170823

input_image

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.

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.

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.

sampler

Sampler type

DPM++ 2M Karras

samping_steps

Number of denoising steps

cfg_scale

Scale for classifier-free guidance

clip_skip

The number of last layers of CLIP network to skip

vae

Select VAE

clearvae_v2.3_fp16.safetensors

lora_1

LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>

FaceBeauty_qinglong_V3.safetensors

lora_2

LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>

add_detail.safetensors

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)

ng_deepnegative_v1_75t.pt

embedding_2

Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)

negative_hand-neg.pt

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

Finished in 36.9 seconds