tungsten-logo
Sign In
Cute Schoolgirls with Space Gears Turbo XL
space-gears-turbo-xl:v1.0
evevalentine2017
evevalentine2017
·
Feb 4
378
Input
prompt
Specify things to see in the output
1 girl, beautiful, masterpiece, hyper realistic, detailed, school uniform, white shirt, bra, red plaid miniskirt, fishnet thigh-highs, underwear
negative_prompt
Specify things to not see in the output
ugly, deformed, blurry, bad quality, complex, messy, dull, boring, clutter, draft, sketch, illegible
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.
3864025630
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 SDE Karras
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
2
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/a29b172008224390b75039bc6fc03d46/00000-3864025630.webp
https://files.tungsten.run/uploads/09d066cad3f2462fa9320d54f7ff6fee/00001-3864025631.webp
https://files.tungsten.run/uploads/889dac478c2441ccb15050846ba9d763/00002-3864025632.webp
Finished in 43.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1 girl, beautiful, masterpiece, hyper realistic, detailed, school uniform, white shirt, bra, red plaid miniskirt, fishnet thigh-highs, underwear Full negative prompt: ugly, deformed, blurry, bad quality, complex, messy, dull, boring, clutter, draft, sketch, illegible 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:14, 1.59s/it] 20%|██ | 2/10 [00:03<00:14, 1.81s/it] 30%|███ | 3/10 [00:05<00:13, 1.94s/it] 40%|████ | 4/10 [00:07<00:11, 1.97s/it] 50%|█████ | 5/10 [00:09<00:09, 1.98s/it] 60%|██████ | 6/10 [00:11<00:07, 1.96s/it] 70%|███████ | 7/10 [00:13<00:05, 1.92s/it] 80%|████████ | 8/10 [00:15<00:03, 1.85s/it] 90%|█████████ | 9/10 [00:16<00:01, 1.67s/it] 100%|██████████| 10/10 [00:17<00:00, 1.44s/it] 100%|██████████| 10/10 [00:17<00:00, 1.73s/it] Decoding latents in cuda:0... done in 1.77s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 158.7ms Speed: 2.6ms preprocess, 158.7ms inference, 18.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:03, 1.21it/s] 40%|████ | 2/5 [00:01<00:02, 1.39it/s] 60%|██████ | 3/5 [00:02<00:01, 1.51it/s] 80%|████████ | 4/5 [00:02<00:00, 1.72it/s] 100%|██████████| 5/5 [00:02<00:00, 2.02it/s] 100%|██████████| 5/5 [00:02<00:00, 1.75it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:03, 1.33it/s] 40%|████ | 2/5 [00:01<00:02, 1.46it/s] 60%|██████ | 3/5 [00:01<00:01, 1.55it/s] 80%|████████ | 4/5 [00:02<00:00, 1.77it/s] 100%|██████████| 5/5 [00:02<00:00, 2.07it/s] 100%|██████████| 5/5 [00:02<00:00, 1.81it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 9.8ms Speed: 2.4ms preprocess, 9.8ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.43it/s] 40%|████ | 2/5 [00:01<00:02, 1.50it/s] 60%|██████ | 3/5 [00:01<00:01, 1.59it/s] 80%|████████ | 4/5 [00:02<00:00, 1.77it/s] 100%|██████████| 5/5 [00:02<00:00, 2.07it/s] 100%|██████████| 5/5 [00:02<00:00, 1.83it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.8ms Speed: 2.2ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.44it/s] 40%|████ | 2/5 [00:01<00:02, 1.50it/s] 60%|██████ | 3/5 [00:01<00:01, 1.57it/s] 80%|████████ | 4/5 [00:02<00:00, 1.77it/s] 100%|██████████| 5/5 [00:02<00:00, 2.07it/s] 100%|██████████| 5/5 [00:02<00:00, 1.83it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
1 girl, beautiful, masterpiece, hyper realistic, detailed, school uniform, white shirt, bra, red plaid miniskirt, fishnet thigh-highs, underwear
negative_prompt
Specify things to not see in the output
ugly, deformed, blurry, bad quality, complex, messy, dull, boring, clutter, draft, sketch, illegible
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.
3864025630
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 SDE Karras
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
2
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/a29b172008224390b75039bc6fc03d46/00000-3864025630.webp
https://files.tungsten.run/uploads/09d066cad3f2462fa9320d54f7ff6fee/00001-3864025631.webp
https://files.tungsten.run/uploads/889dac478c2441ccb15050846ba9d763/00002-3864025632.webp
Finished in 43.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1 girl, beautiful, masterpiece, hyper realistic, detailed, school uniform, white shirt, bra, red plaid miniskirt, fishnet thigh-highs, underwear Full negative prompt: ugly, deformed, blurry, bad quality, complex, messy, dull, boring, clutter, draft, sketch, illegible 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:14, 1.59s/it] 20%|██ | 2/10 [00:03<00:14, 1.81s/it] 30%|███ | 3/10 [00:05<00:13, 1.94s/it] 40%|████ | 4/10 [00:07<00:11, 1.97s/it] 50%|█████ | 5/10 [00:09<00:09, 1.98s/it] 60%|██████ | 6/10 [00:11<00:07, 1.96s/it] 70%|███████ | 7/10 [00:13<00:05, 1.92s/it] 80%|████████ | 8/10 [00:15<00:03, 1.85s/it] 90%|█████████ | 9/10 [00:16<00:01, 1.67s/it] 100%|██████████| 10/10 [00:17<00:00, 1.44s/it] 100%|██████████| 10/10 [00:17<00:00, 1.73s/it] Decoding latents in cuda:0... done in 1.77s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 158.7ms Speed: 2.6ms preprocess, 158.7ms inference, 18.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:03, 1.21it/s] 40%|████ | 2/5 [00:01<00:02, 1.39it/s] 60%|██████ | 3/5 [00:02<00:01, 1.51it/s] 80%|████████ | 4/5 [00:02<00:00, 1.72it/s] 100%|██████████| 5/5 [00:02<00:00, 2.02it/s] 100%|██████████| 5/5 [00:02<00:00, 1.75it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:03, 1.33it/s] 40%|████ | 2/5 [00:01<00:02, 1.46it/s] 60%|██████ | 3/5 [00:01<00:01, 1.55it/s] 80%|████████ | 4/5 [00:02<00:00, 1.77it/s] 100%|██████████| 5/5 [00:02<00:00, 2.07it/s] 100%|██████████| 5/5 [00:02<00:00, 1.81it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 9.8ms Speed: 2.4ms preprocess, 9.8ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.43it/s] 40%|████ | 2/5 [00:01<00:02, 1.50it/s] 60%|██████ | 3/5 [00:01<00:01, 1.59it/s] 80%|████████ | 4/5 [00:02<00:00, 1.77it/s] 100%|██████████| 5/5 [00:02<00:00, 2.07it/s] 100%|██████████| 5/5 [00:02<00:00, 1.83it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.8ms Speed: 2.2ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.44it/s] 40%|████ | 2/5 [00:01<00:02, 1.50it/s] 60%|██████ | 3/5 [00:01<00:01, 1.57it/s] 80%|████████ | 4/5 [00:02<00:00, 1.77it/s] 100%|██████████| 5/5 [00:02<00:00, 2.07it/s] 100%|██████████| 5/5 [00:02<00:00, 1.83it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.