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Biden & Trump with Quantum Turbo XL
quantum-turbo-xl:v1.0
evevalentine2017
evevalentine2017
·
Jun 5
19
Input
prompt
Specify things to see in the output
trump and biden having coktails in a tropical beach, palms, sea, tiki, golden hour, birds, waves, ships, Awash in a haze of light leaks reminiscent of film photography, awesome background, highly detailed styling, studio photo, intricate details, highly detailed, cinematic,
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
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.
3964754526
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/4b353d9a1c844e0582baaaf016f01af7/00000-3964754526.webp
https://files.tungsten.run/uploads/2d8c90474bb24127b36492cd8b356302/00001-3964754527.webp
https://files.tungsten.run/uploads/40c65b91e4534125a2d695dc348ef76c/00002-3964754528.webp
Finished in 68.8 seconds
Preparing inputs... Processing... Full prompt: trump and biden having coktails in a tropical beach, palms, sea, tiki, golden hour, birds, waves, ships, Awash in a haze of light leaks reminiscent of film photography, awesome background, highly detailed styling, studio photo, intricate details, highly detailed, cinematic, Full negative prompt: bad eyes, cgi, airbrushed, plastic, watermark, lowres, low quality 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:25, 2.85s/it] 20%|██ | 2/10 [00:06<00:28, 3.58s/it] 30%|███ | 3/10 [00:10<00:26, 3.73s/it] 40%|████ | 4/10 [00:14<00:22, 3.81s/it] 50%|█████ | 5/10 [00:18<00:19, 3.89s/it] 60%|██████ | 6/10 [00:21<00:14, 3.58s/it] 70%|███████ | 7/10 [00:25<00:10, 3.51s/it] 80%|████████ | 8/10 [00:28<00:07, 3.60s/it] 90%|█████████ | 9/10 [00:31<00:03, 3.33s/it] 100%|██████████| 10/10 [00:32<00:00, 2.57s/it] 100%|██████████| 10/10 [00:32<00:00, 3.26s/it] Decoding latents in cuda:0... done in 1.66s Move latents to cpu... done in 0.0s
prompt
Specify things to see in the output
trump and biden having coktails in a tropical beach, palms, sea, tiki, golden hour, birds, waves, ships, Awash in a haze of light leaks reminiscent of film photography, awesome background, highly detailed styling, studio photo, intricate details, highly detailed, cinematic,
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
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.
3964754526
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/4b353d9a1c844e0582baaaf016f01af7/00000-3964754526.webp
https://files.tungsten.run/uploads/2d8c90474bb24127b36492cd8b356302/00001-3964754527.webp
https://files.tungsten.run/uploads/40c65b91e4534125a2d695dc348ef76c/00002-3964754528.webp
Finished in 68.8 seconds
Preparing inputs... Processing... Full prompt: trump and biden having coktails in a tropical beach, palms, sea, tiki, golden hour, birds, waves, ships, Awash in a haze of light leaks reminiscent of film photography, awesome background, highly detailed styling, studio photo, intricate details, highly detailed, cinematic, Full negative prompt: bad eyes, cgi, airbrushed, plastic, watermark, lowres, low quality 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:25, 2.85s/it] 20%|██ | 2/10 [00:06<00:28, 3.58s/it] 30%|███ | 3/10 [00:10<00:26, 3.73s/it] 40%|████ | 4/10 [00:14<00:22, 3.81s/it] 50%|█████ | 5/10 [00:18<00:19, 3.89s/it] 60%|██████ | 6/10 [00:21<00:14, 3.58s/it] 70%|███████ | 7/10 [00:25<00:10, 3.51s/it] 80%|████████ | 8/10 [00:28<00:07, 3.60s/it] 90%|█████████ | 9/10 [00:31<00:03, 3.33s/it] 100%|██████████| 10/10 [00:32<00:00, 2.57s/it] 100%|██████████| 10/10 [00:32<00:00, 3.26s/it] Decoding latents in cuda:0... done in 1.66s Move latents to cpu... done in 0.0s