tungsten-logo
Sign In
Double Exposure with CarDos XL
cardos-xl:v1.0
sparks
sparks
·
Feb 20
340
Input
prompt
Specify things to see in the output
double exposure
negative_prompt
Specify things to not see in the output
worst quality, low quality
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
1
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2886311088
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
Restart
samping_steps
Number of denoising steps
26
cfg_scale
Scale for classifier-free guidance
7
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/596417756ff748e091c6572471d74572/00000-2886311088.webp
https://files.tungsten.run/uploads/37aa9614a78146bb9ae322fd6fc0cd41/00001-2886311089.webp
https://files.tungsten.run/uploads/f2101a54d9b544d5af9c448f545def95/00002-2886311090.webp
Finished in 93.2 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: double exposure, <lora:TLS:1.0> Full negative prompt: worst quality, low quality 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:04<01:51, 4.46s/it] 8%|▊ | 2/26 [00:07<01:31, 3.79s/it] 12%|█▏ | 3/26 [00:11<01:22, 3.59s/it] 15%|█▌ | 4/26 [00:14<01:17, 3.50s/it] 19%|█▉ | 5/26 [00:17<01:12, 3.45s/it] 23%|██▎ | 6/26 [00:21<01:08, 3.42s/it] 27%|██▋ | 7/26 [00:24<01:04, 3.41s/it] 31%|███ | 8/26 [00:27<01:01, 3.40s/it] 35%|███▍ | 9/26 [00:31<00:57, 3.40s/it] 38%|███▊ | 10/26 [00:34<00:54, 3.40s/it] 42%|████▏ | 11/26 [00:38<00:50, 3.40s/it] 46%|████▌ | 12/26 [00:41<00:47, 3.40s/it] 50%|█████ | 13/26 [00:44<00:44, 3.39s/it] 54%|█████▍ | 14/26 [00:48<00:40, 3.39s/it] 58%|█████▊ | 15/26 [00:51<00:37, 3.40s/it] 62%|██████▏ | 16/26 [00:55<00:33, 3.39s/it] 65%|██████▌ | 17/26 [00:58<00:30, 3.39s/it] 69%|██████▉ | 18/26 [01:01<00:27, 3.38s/it] 73%|███████▎ | 19/26 [01:05<00:23, 3.38s/it] 77%|███████▋ | 20/26 [01:08<00:20, 3.38s/it] 81%|████████ | 21/26 [01:12<00:16, 3.38s/it] 85%|████████▍ | 22/26 [01:15<00:13, 3.39s/it] 88%|████████▊ | 23/26 [01:18<00:10, 3.40s/it] 92%|█████████▏| 24/26 [01:22<00:06, 3.41s/it] 96%|█████████▌| 25/26 [01:25<00:03, 3.42s/it] 100%|██████████| 26/26 [01:27<00:00, 2.91s/it] 100%|██████████| 26/26 [01:27<00:00, 3.36s/it] Decoding latents in cuda:0... done in 3.1s Move latents to cpu... done in 0.04s Uploading outputs... Finished.
prompt
Specify things to see in the output
double exposure
negative_prompt
Specify things to not see in the output
worst quality, low quality
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
1
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2886311088
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
Restart
samping_steps
Number of denoising steps
26
cfg_scale
Scale for classifier-free guidance
7
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/596417756ff748e091c6572471d74572/00000-2886311088.webp
https://files.tungsten.run/uploads/37aa9614a78146bb9ae322fd6fc0cd41/00001-2886311089.webp
https://files.tungsten.run/uploads/f2101a54d9b544d5af9c448f545def95/00002-2886311090.webp
Finished in 93.2 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: double exposure, <lora:TLS:1.0> Full negative prompt: worst quality, low quality 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:04<01:51, 4.46s/it] 8%|▊ | 2/26 [00:07<01:31, 3.79s/it] 12%|█▏ | 3/26 [00:11<01:22, 3.59s/it] 15%|█▌ | 4/26 [00:14<01:17, 3.50s/it] 19%|█▉ | 5/26 [00:17<01:12, 3.45s/it] 23%|██▎ | 6/26 [00:21<01:08, 3.42s/it] 27%|██▋ | 7/26 [00:24<01:04, 3.41s/it] 31%|███ | 8/26 [00:27<01:01, 3.40s/it] 35%|███▍ | 9/26 [00:31<00:57, 3.40s/it] 38%|███▊ | 10/26 [00:34<00:54, 3.40s/it] 42%|████▏ | 11/26 [00:38<00:50, 3.40s/it] 46%|████▌ | 12/26 [00:41<00:47, 3.40s/it] 50%|█████ | 13/26 [00:44<00:44, 3.39s/it] 54%|█████▍ | 14/26 [00:48<00:40, 3.39s/it] 58%|█████▊ | 15/26 [00:51<00:37, 3.40s/it] 62%|██████▏ | 16/26 [00:55<00:33, 3.39s/it] 65%|██████▌ | 17/26 [00:58<00:30, 3.39s/it] 69%|██████▉ | 18/26 [01:01<00:27, 3.38s/it] 73%|███████▎ | 19/26 [01:05<00:23, 3.38s/it] 77%|███████▋ | 20/26 [01:08<00:20, 3.38s/it] 81%|████████ | 21/26 [01:12<00:16, 3.38s/it] 85%|████████▍ | 22/26 [01:15<00:13, 3.39s/it] 88%|████████▊ | 23/26 [01:18<00:10, 3.40s/it] 92%|█████████▏| 24/26 [01:22<00:06, 3.41s/it] 96%|█████████▌| 25/26 [01:25<00:03, 3.42s/it] 100%|██████████| 26/26 [01:27<00:00, 2.91s/it] 100%|██████████| 26/26 [01:27<00:00, 3.36s/it] Decoding latents in cuda:0... done in 3.1s Move latents to cpu... done in 0.04s Uploading outputs... Finished.