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Cute Schoolgirls with Mjolnir Turbo SDXL
mjolnir-turbo-sdxl:lightning
evevalentine2017
evevalentine2017
·
Mar 3
347
Input
prompt
Specify things to see in the output
two girls, 2girls, 19-year-old, beautiful, (revealing schoolgirl attire:1.3), facing the viewer, side by side, hands on breasts, hourglass figure, extremely tall, wide hips, small perfect navel, very large breasts, absurdly long legs, girl A has light brown eyes, girl B has light brown eyes, teeth, girl A has golden blonde chignon hair, girl B has brunette bob with bangs hair, they are confused, soft lighting, gentle, diffused light that wraps the characters in a warm and dreamy glow, a cheerful school classroom, with students working together and a passionate teacher,
negative_prompt
Specify things to not see in the output
Bad quality, watermark, nipples, nsfw
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0.45
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.
866004392
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++ 2S a
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
2.5
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/24f4bf24339648a197e9a00a144899c2/00000-866004392.webp
https://files.tungsten.run/uploads/cfc33d6102244edaa7223d4bb50ce71f/00001-866004393.webp
https://files.tungsten.run/uploads/fb47f9eb6fa043ebae46faf81beaa694/00002-866004394.webp
Finished in 74.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: two girls, 2girls, 19-year-old, beautiful, (revealing schoolgirl attire:1.3), facing the viewer, side by side, hands on breasts, hourglass figure, extremely tall, wide hips, small perfect navel, very large breasts, absurdly long legs, girl A has light brown eyes, girl B has light brown eyes, teeth, girl A has golden blonde chignon hair, girl B has brunette bob with bangs hair, they are confused, soft lighting, gentle, diffused light that wraps the characters in a warm and dreamy glow, a cheerful school classroom, with students working together and a passionate teacher, Full negative prompt: Bad quality, watermark, nipples, nsfw 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:15, 1.76s/it] 20%|██ | 2/10 [00:03<00:14, 1.79s/it] 30%|███ | 3/10 [00:05<00:12, 1.79s/it] 40%|████ | 4/10 [00:07<00:10, 1.79s/it] 50%|█████ | 5/10 [00:08<00:08, 1.79s/it] 60%|██████ | 6/10 [00:10<00:07, 1.79s/it] 70%|███████ | 7/10 [00:12<00:05, 1.79s/it] 80%|████████ | 8/10 [00:14<00:03, 1.80s/it] 90%|█████████ | 9/10 [00:16<00:01, 1.80s/it] 100%|██████████| 10/10 [00:17<00:00, 1.51s/it] 100%|██████████| 10/10 [00:17<00:00, 1.70s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.01s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.24s/it] 40%|████ | 2/5 [00:02<00:03, 1.24s/it] 60%|██████ | 3/5 [00:03<00:02, 1.24s/it] 80%|████████ | 4/5 [00:04<00:01, 1.24s/it] 100%|██████████| 5/5 [00:05<00:00, 1.02s/it] 100%|██████████| 5/5 [00:05<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.23s/it] 40%|████ | 2/5 [00:02<00:03, 1.24s/it] 60%|██████ | 3/5 [00:03<00:02, 1.23s/it] 80%|████████ | 4/5 [00:04<00:01, 1.24s/it] 100%|██████████| 5/5 [00:05<00:00, 1.02s/it] 100%|██████████| 5/5 [00:05<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:05, 1.27s/it] 40%|████ | 2/5 [00:02<00:03, 1.26s/it] 60%|██████ | 3/5 [00:03<00:02, 1.24s/it] 80%|████████ | 4/5 [00:04<00:01, 1.23s/it] 100%|██████████| 5/5 [00:05<00:00, 1.01s/it] 100%|██████████| 5/5 [00:05<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.23s/it] 40%|████ | 2/5 [00:02<00:03, 1.23s/it] 60%|██████ | 3/5 [00:03<00:02, 1.22s/it] 80%|████████ | 4/5 [00:04<00:01, 1.23s/it] 100%|██████████| 5/5 [00:05<00:00, 1.01s/it] 100%|██████████| 5/5 [00:05<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.23s/it] 40%|████ | 2/5 [00:02<00:03, 1.24s/it] 60%|██████ | 3/5 [00:03<00:02, 1.22s/it] 80%|████████ | 4/5 [00:04<00:01, 1.23s/it] 100%|██████████| 5/5 [00:05<00:00, 1.02s/it] 100%|██████████| 5/5 [00:05<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:05, 1.32s/it] 40%|████ | 2/5 [00:02<00:03, 1.27s/it] 60%|██████ | 3/5 [00:03<00:02, 1.26s/it] 80%|████████ | 4/5 [00:05<00:01, 1.24s/it] 100%|██████████| 5/5 [00:05<00:00, 1.01s/it] 100%|██████████| 5/5 [00:05<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.25s/it] 40%|████ | 2/5 [00:02<00:03, 1.24s/it] 60%|██████ | 3/5 [00:03<00:02, 1.26s/it] 80%|████████ | 4/5 [00:04<00:01, 1.24s/it] 100%|██████████| 5/5 [00:05<00:00, 1.00s/it] 100%|██████████| 5/5 [00:05<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.21s/it] 40%|████ | 2/5 [00:02<00:03, 1.23s/it] 60%|██████ | 3/5 [00:03<00:02, 1.22s/it] 80%|████████ | 4/5 [00:04<00:01, 1.23s/it] 100%|██████████| 5/5 [00:05<00:00, 1.00s/it] 100%|██████████| 5/5 [00:05<00:00, 1.10s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
two girls, 2girls, 19-year-old, beautiful, (revealing schoolgirl attire:1.3), facing the viewer, side by side, hands on breasts, hourglass figure, extremely tall, wide hips, small perfect navel, very large breasts, absurdly long legs, girl A has light brown eyes, girl B has light brown eyes, teeth, girl A has golden blonde chignon hair, girl B has brunette bob with bangs hair, they are confused, soft lighting, gentle, diffused light that wraps the characters in a warm and dreamy glow, a cheerful school classroom, with students working together and a passionate teacher,
negative_prompt
Specify things to not see in the output
Bad quality, watermark, nipples, nsfw
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0.45
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.
866004392
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++ 2S a
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
2.5
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/24f4bf24339648a197e9a00a144899c2/00000-866004392.webp
https://files.tungsten.run/uploads/cfc33d6102244edaa7223d4bb50ce71f/00001-866004393.webp
https://files.tungsten.run/uploads/fb47f9eb6fa043ebae46faf81beaa694/00002-866004394.webp
Finished in 74.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: two girls, 2girls, 19-year-old, beautiful, (revealing schoolgirl attire:1.3), facing the viewer, side by side, hands on breasts, hourglass figure, extremely tall, wide hips, small perfect navel, very large breasts, absurdly long legs, girl A has light brown eyes, girl B has light brown eyes, teeth, girl A has golden blonde chignon hair, girl B has brunette bob with bangs hair, they are confused, soft lighting, gentle, diffused light that wraps the characters in a warm and dreamy glow, a cheerful school classroom, with students working together and a passionate teacher, Full negative prompt: Bad quality, watermark, nipples, nsfw 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:15, 1.76s/it] 20%|██ | 2/10 [00:03<00:14, 1.79s/it] 30%|███ | 3/10 [00:05<00:12, 1.79s/it] 40%|████ | 4/10 [00:07<00:10, 1.79s/it] 50%|█████ | 5/10 [00:08<00:08, 1.79s/it] 60%|██████ | 6/10 [00:10<00:07, 1.79s/it] 70%|███████ | 7/10 [00:12<00:05, 1.79s/it] 80%|████████ | 8/10 [00:14<00:03, 1.80s/it] 90%|█████████ | 9/10 [00:16<00:01, 1.80s/it] 100%|██████████| 10/10 [00:17<00:00, 1.51s/it] 100%|██████████| 10/10 [00:17<00:00, 1.70s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.01s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.24s/it] 40%|████ | 2/5 [00:02<00:03, 1.24s/it] 60%|██████ | 3/5 [00:03<00:02, 1.24s/it] 80%|████████ | 4/5 [00:04<00:01, 1.24s/it] 100%|██████████| 5/5 [00:05<00:00, 1.02s/it] 100%|██████████| 5/5 [00:05<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.23s/it] 40%|████ | 2/5 [00:02<00:03, 1.24s/it] 60%|██████ | 3/5 [00:03<00:02, 1.23s/it] 80%|████████ | 4/5 [00:04<00:01, 1.24s/it] 100%|██████████| 5/5 [00:05<00:00, 1.02s/it] 100%|██████████| 5/5 [00:05<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:05, 1.27s/it] 40%|████ | 2/5 [00:02<00:03, 1.26s/it] 60%|██████ | 3/5 [00:03<00:02, 1.24s/it] 80%|████████ | 4/5 [00:04<00:01, 1.23s/it] 100%|██████████| 5/5 [00:05<00:00, 1.01s/it] 100%|██████████| 5/5 [00:05<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.23s/it] 40%|████ | 2/5 [00:02<00:03, 1.23s/it] 60%|██████ | 3/5 [00:03<00:02, 1.22s/it] 80%|████████ | 4/5 [00:04<00:01, 1.23s/it] 100%|██████████| 5/5 [00:05<00:00, 1.01s/it] 100%|██████████| 5/5 [00:05<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.23s/it] 40%|████ | 2/5 [00:02<00:03, 1.24s/it] 60%|██████ | 3/5 [00:03<00:02, 1.22s/it] 80%|████████ | 4/5 [00:04<00:01, 1.23s/it] 100%|██████████| 5/5 [00:05<00:00, 1.02s/it] 100%|██████████| 5/5 [00:05<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:05, 1.32s/it] 40%|████ | 2/5 [00:02<00:03, 1.27s/it] 60%|██████ | 3/5 [00:03<00:02, 1.26s/it] 80%|████████ | 4/5 [00:05<00:01, 1.24s/it] 100%|██████████| 5/5 [00:05<00:00, 1.01s/it] 100%|██████████| 5/5 [00:05<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.25s/it] 40%|████ | 2/5 [00:02<00:03, 1.24s/it] 60%|██████ | 3/5 [00:03<00:02, 1.26s/it] 80%|████████ | 4/5 [00:04<00:01, 1.24s/it] 100%|██████████| 5/5 [00:05<00:00, 1.00s/it] 100%|██████████| 5/5 [00:05<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:04, 1.21s/it] 40%|████ | 2/5 [00:02<00:03, 1.23s/it] 60%|██████ | 3/5 [00:03<00:02, 1.22s/it] 80%|████████ | 4/5 [00:04<00:01, 1.23s/it] 100%|██████████| 5/5 [00:05<00:00, 1.00s/it] 100%|██████████| 5/5 [00:05<00:00, 1.10s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.