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80's Animegirls with fitCorderMix - Turbo SDXL
fcturbosdxl:v4.0
sparks
sparks
·
Jan 24
349
Input
prompt
Specify things to see in the output
dynamic angle, (80s anime focus:1.2), extremely detailed urban strip bar, clashing themes, stage, stage lights, crowd in background, gigantic voluptuous breasts, slim waist, full body, toned, volleyball outfit shorts sports bra, busty, muscles, bosom
negative_prompt
Specify things to not see in the output
hands, fingers
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
2403915462
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++ SDE Karras
samping_steps
Number of denoising steps
5
cfg_scale
Scale for classifier-free guidance
2
clip_skip
The number of last layers of CLIP network to skip
1
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/c94bd021b16340aabe862bfcf0012706/00000-2403915462.webp
https://files.tungsten.run/uploads/fb81401a12de40c0a07b66d112699c23/00001-2403915463.webp
https://files.tungsten.run/uploads/3ec0aa619dce4e7f89873a2b7eab3ad9/00002-2403915464.webp
Finished in 67.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: dynamic angle, (80s anime focus:1.2), extremely detailed urban strip bar, clashing themes, stage, stage lights, crowd in background, gigantic voluptuous breasts, slim waist, full body, toned, volleyball outfit shorts sports bra, busty, muscles, bosom, <lora:add-detail-xl:1.5> Full negative prompt: hands, fingers 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:04<00:17, 4.39s/it] 40%|████ | 2/5 [00:08<00:13, 4.34s/it] 60%|██████ | 3/5 [00:12<00:08, 4.25s/it] 80%|████████ | 4/5 [00:15<00:03, 3.74s/it] 100%|██████████| 5/5 [00:16<00:00, 2.73s/it] 100%|██████████| 5/5 [00:16<00:00, 3.35s/it] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.02s 0: 640x480 4 faces, 157.1ms Speed: 2.6ms preprocess, 157.1ms inference, 21.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.10s/it] 100%|██████████| 2/2 [00:01<00:00, 1.55it/s] 100%|██████████| 2/2 [00:01<00:00, 1.40it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.03s/it] 100%|██████████| 2/2 [00:01<00:00, 1.62it/s] 100%|██████████| 2/2 [00:01<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.02s/it] 100%|██████████| 2/2 [00:01<00:00, 1.64it/s] 100%|██████████| 2/2 [00:01<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.01s/it] 100%|██████████| 2/2 [00:01<00:00, 1.65it/s] 100%|██████████| 2/2 [00:01<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 6 faces, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.00s/it] 100%|██████████| 2/2 [00:01<00:00, 1.65it/s] 100%|██████████| 2/2 [00:01<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.01s/it] 100%|██████████| 2/2 [00:01<00:00, 1.64it/s] 100%|██████████| 2/2 [00:01<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.03s/it] 100%|██████████| 2/2 [00:01<00:00, 1.61it/s] 100%|██████████| 2/2 [00:01<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.04s/it] 100%|██████████| 2/2 [00:01<00:00, 1.61it/s] 100%|██████████| 2/2 [00:01<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.01s/it] 100%|██████████| 2/2 [00:01<00:00, 1.64it/s] 100%|██████████| 2/2 [00:01<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.07s/it] 100%|██████████| 2/2 [00:01<00:00, 1.58it/s] 100%|██████████| 2/2 [00:01<00:00, 1.43it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 5 faces, 9.9ms Speed: 2.7ms preprocess, 9.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.03s/it] 100%|██████████| 2/2 [00:01<00:00, 1.61it/s] 100%|██████████| 2/2 [00:01<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.02s/it] 100%|██████████| 2/2 [00:01<00:00, 1.63it/s] 100%|██████████| 2/2 [00:01<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.05s/it] 100%|██████████| 2/2 [00:01<00:00, 1.57it/s] 100%|██████████| 2/2 [00:01<00:00, 1.43it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.02s/it] 100%|██████████| 2/2 [00:01<00:00, 1.63it/s] 100%|██████████| 2/2 [00:01<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.02s/it] 100%|██████████| 2/2 [00:01<00:00, 1.61it/s] 100%|██████████| 2/2 [00:01<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
dynamic angle, (80s anime focus:1.2), extremely detailed urban strip bar, clashing themes, stage, stage lights, crowd in background, gigantic voluptuous breasts, slim waist, full body, toned, volleyball outfit shorts sports bra, busty, muscles, bosom
negative_prompt
Specify things to not see in the output
hands, fingers
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
2403915462
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++ SDE Karras
samping_steps
Number of denoising steps
5
cfg_scale
Scale for classifier-free guidance
2
clip_skip
The number of last layers of CLIP network to skip
1
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/c94bd021b16340aabe862bfcf0012706/00000-2403915462.webp
https://files.tungsten.run/uploads/fb81401a12de40c0a07b66d112699c23/00001-2403915463.webp
https://files.tungsten.run/uploads/3ec0aa619dce4e7f89873a2b7eab3ad9/00002-2403915464.webp
Finished in 67.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: dynamic angle, (80s anime focus:1.2), extremely detailed urban strip bar, clashing themes, stage, stage lights, crowd in background, gigantic voluptuous breasts, slim waist, full body, toned, volleyball outfit shorts sports bra, busty, muscles, bosom, <lora:add-detail-xl:1.5> Full negative prompt: hands, fingers 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:04<00:17, 4.39s/it] 40%|████ | 2/5 [00:08<00:13, 4.34s/it] 60%|██████ | 3/5 [00:12<00:08, 4.25s/it] 80%|████████ | 4/5 [00:15<00:03, 3.74s/it] 100%|██████████| 5/5 [00:16<00:00, 2.73s/it] 100%|██████████| 5/5 [00:16<00:00, 3.35s/it] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.02s 0: 640x480 4 faces, 157.1ms Speed: 2.6ms preprocess, 157.1ms inference, 21.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.10s/it] 100%|██████████| 2/2 [00:01<00:00, 1.55it/s] 100%|██████████| 2/2 [00:01<00:00, 1.40it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.03s/it] 100%|██████████| 2/2 [00:01<00:00, 1.62it/s] 100%|██████████| 2/2 [00:01<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.02s/it] 100%|██████████| 2/2 [00:01<00:00, 1.64it/s] 100%|██████████| 2/2 [00:01<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.01s/it] 100%|██████████| 2/2 [00:01<00:00, 1.65it/s] 100%|██████████| 2/2 [00:01<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 6 faces, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.00s/it] 100%|██████████| 2/2 [00:01<00:00, 1.65it/s] 100%|██████████| 2/2 [00:01<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.01s/it] 100%|██████████| 2/2 [00:01<00:00, 1.64it/s] 100%|██████████| 2/2 [00:01<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.03s/it] 100%|██████████| 2/2 [00:01<00:00, 1.61it/s] 100%|██████████| 2/2 [00:01<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.04s/it] 100%|██████████| 2/2 [00:01<00:00, 1.61it/s] 100%|██████████| 2/2 [00:01<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.01s/it] 100%|██████████| 2/2 [00:01<00:00, 1.64it/s] 100%|██████████| 2/2 [00:01<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.07s/it] 100%|██████████| 2/2 [00:01<00:00, 1.58it/s] 100%|██████████| 2/2 [00:01<00:00, 1.43it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 5 faces, 9.9ms Speed: 2.7ms preprocess, 9.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.03s/it] 100%|██████████| 2/2 [00:01<00:00, 1.61it/s] 100%|██████████| 2/2 [00:01<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.02s/it] 100%|██████████| 2/2 [00:01<00:00, 1.63it/s] 100%|██████████| 2/2 [00:01<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.05s/it] 100%|██████████| 2/2 [00:01<00:00, 1.57it/s] 100%|██████████| 2/2 [00:01<00:00, 1.43it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.02s/it] 100%|██████████| 2/2 [00:01<00:00, 1.63it/s] 100%|██████████| 2/2 [00:01<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.02s/it] 100%|██████████| 2/2 [00:01<00:00, 1.61it/s] 100%|██████████| 2/2 [00:01<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.