Goth Blue Outfits with Quantum Turbo XL
Input
prompt
Specify things to see in the output
A place with a morbid look that resembles a funeral, foggy, silhouetted in soft shadow full body photograph, twilight blue colored clown outfit, beautiful supermodel, sitting on the floor, detailed background, bokeh
negative_prompt
Specify things to not see in the output
bad eyes, cgi, airbrushed, plastic, watermark, lowres, low quality
num_outputs
Number of output images
3
width
Output image width
1024
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.
330844817
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
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
1.5
clip_skip
The number of last layers of CLIP network to skip
2
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/c98780f1c2f34a63bbbf89afd17646d1/00000-330844817.webp
https://files.tungsten.run/uploads/813abad79e9649478401acf6e94be8ba/00001-330844818.webp
https://files.tungsten.run/uploads/10180d75b42c47f5a5bba1da53563acb/00002-330844819.webp
Finished in 69.6 seconds
Preparing inputs... Processing... Full prompt: A place with a morbid look that resembles a funeral, foggy, silhouetted in soft shadow full body photograph, twilight blue colored clown outfit, beautiful supermodel, sitting on the floor, detailed background, bokeh Full negative prompt: bad eyes, cgi, airbrushed, plastic, watermark, lowres, low quality 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:03<00:34, 3.86s/it] 20%|██ | 2/10 [00:09<00:38, 4.76s/it] 30%|███ | 3/10 [00:14<00:34, 4.96s/it] 40%|████ | 4/10 [00:19<00:30, 5.05s/it] 50%|█████ | 5/10 [00:24<00:25, 5.16s/it] 60%|██████ | 6/10 [00:29<00:19, 4.77s/it] 70%|███████ | 7/10 [00:33<00:14, 4.69s/it] 80%|████████ | 8/10 [00:38<00:09, 4.80s/it] 90%|█████████ | 9/10 [00:42<00:04, 4.46s/it] 100%|██████████| 10/10 [00:43<00:00, 3.46s/it] 100%|██████████| 10/10 [00:43<00:00, 4.35s/it] Decoding latents in cuda:0... done in 2.29s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:05, 1.34s/it] 40%|████ | 2/5 [00:02<00:04, 1.39s/it] 60%|██████ | 3/5 [00:04<00:02, 1.49s/it] 80%|████████ | 4/5 [00:05<00:01, 1.36s/it] 100%|██████████| 5/5 [00:05<00:00, 1.01s/it] 100%|██████████| 5/5 [00:05<00:00, 1.18s/it] Decoding latents in cuda:0... done in 0.76s Move latents to cpu... done in 0.0s
prompt
Specify things to see in the output
A place with a morbid look that resembles a funeral, foggy, silhouetted in soft shadow full body photograph, twilight blue colored clown outfit, beautiful supermodel, sitting on the floor, detailed background, bokeh
negative_prompt
Specify things to not see in the output
bad eyes, cgi, airbrushed, plastic, watermark, lowres, low quality
num_outputs
Number of output images
3
width
Output image width
1024
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.
330844817
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
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
1.5
clip_skip
The number of last layers of CLIP network to skip
2
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/c98780f1c2f34a63bbbf89afd17646d1/00000-330844817.webp
https://files.tungsten.run/uploads/813abad79e9649478401acf6e94be8ba/00001-330844818.webp
https://files.tungsten.run/uploads/10180d75b42c47f5a5bba1da53563acb/00002-330844819.webp
Finished in 69.6 seconds
Preparing inputs... Processing... Full prompt: A place with a morbid look that resembles a funeral, foggy, silhouetted in soft shadow full body photograph, twilight blue colored clown outfit, beautiful supermodel, sitting on the floor, detailed background, bokeh Full negative prompt: bad eyes, cgi, airbrushed, plastic, watermark, lowres, low quality 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:03<00:34, 3.86s/it] 20%|██ | 2/10 [00:09<00:38, 4.76s/it] 30%|███ | 3/10 [00:14<00:34, 4.96s/it] 40%|████ | 4/10 [00:19<00:30, 5.05s/it] 50%|█████ | 5/10 [00:24<00:25, 5.16s/it] 60%|██████ | 6/10 [00:29<00:19, 4.77s/it] 70%|███████ | 7/10 [00:33<00:14, 4.69s/it] 80%|████████ | 8/10 [00:38<00:09, 4.80s/it] 90%|█████████ | 9/10 [00:42<00:04, 4.46s/it] 100%|██████████| 10/10 [00:43<00:00, 3.46s/it] 100%|██████████| 10/10 [00:43<00:00, 4.35s/it] Decoding latents in cuda:0... done in 2.29s Move latents to cpu... done in 0.0s 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:05, 1.34s/it] 40%|████ | 2/5 [00:02<00:04, 1.39s/it] 60%|██████ | 3/5 [00:04<00:02, 1.49s/it] 80%|████████ | 4/5 [00:05<00:01, 1.36s/it] 100%|██████████| 5/5 [00:05<00:00, 1.01s/it] 100%|██████████| 5/5 [00:05<00:00, 1.18s/it] Decoding latents in cuda:0... done in 0.76s Move latents to cpu... done in 0.0s