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Cozy Xmas Rooms with Bright Proto Nuke XL
bright-proto-nuke-xl:v1.3
evevalentine2017
evevalentine2017
·
Jan 28
399
Input
prompt
Specify things to see in the output
extremely sharp, home (interior:1.2), extremely detailed, 8k, hdr, high quality, dark moody, log cabin, living room, at night, tiny lights, decorated for christmas,
negative_prompt
Specify things to not see in the output
dull, blurry, (low quality, worst quality:1.4), monochrome, logo, watermark, mosaic censoring,
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
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
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2102823569
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
30
cfg_scale
Scale for classifier-free guidance
7
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/9119a00af9ba49eda742502103f7f6f1/00000-2102823569.webp
https://files.tungsten.run/uploads/2946ce00d4b748df9309df9835762f0f/00001-2102823570.webp
https://files.tungsten.run/uploads/4ab96e31e915485eb02b8f4f8c0a086f/00002-2102823571.webp
Finished in 80.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: extremely sharp, home (interior:1.2), extremely detailed, 8k, hdr, high quality, dark moody, log cabin, living room, at night, tiny lights, decorated for christmas, Full negative prompt: dull, blurry, (low quality, worst quality:1.4), monochrome, logo, watermark, mosaic censoring, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:14, 2.58s/it] 7%|▋ | 2/30 [00:05<01:12, 2.58s/it] 10%|█ | 3/30 [00:07<01:09, 2.59s/it] 13%|█▎ | 4/30 [00:10<01:07, 2.59s/it] 17%|█▋ | 5/30 [00:12<01:04, 2.60s/it] 20%|██ | 6/30 [00:15<01:02, 2.60s/it] 23%|██▎ | 7/30 [00:18<01:00, 2.61s/it] 27%|██▋ | 8/30 [00:20<00:57, 2.62s/it] 30%|███ | 9/30 [00:23<00:55, 2.62s/it] 33%|███▎ | 10/30 [00:26<00:52, 2.62s/it] 37%|███▋ | 11/30 [00:28<00:49, 2.63s/it] 40%|████ | 12/30 [00:31<00:47, 2.63s/it] 43%|████▎ | 13/30 [00:33<00:44, 2.63s/it] 47%|████▋ | 14/30 [00:36<00:42, 2.63s/it] 50%|█████ | 15/30 [00:39<00:39, 2.62s/it] 53%|█████▎ | 16/30 [00:41<00:36, 2.62s/it] 57%|█████▋ | 17/30 [00:44<00:34, 2.62s/it] 60%|██████ | 18/30 [00:47<00:31, 2.62s/it] 63%|██████▎ | 19/30 [00:49<00:28, 2.61s/it] 67%|██████▋ | 20/30 [00:52<00:26, 2.60s/it] 70%|███████ | 21/30 [00:54<00:23, 2.60s/it] 73%|███████▎ | 22/30 [00:57<00:20, 2.60s/it] 77%|███████▋ | 23/30 [01:00<00:18, 2.60s/it] 80%|████████ | 24/30 [01:02<00:15, 2.60s/it] 83%|████████▎ | 25/30 [01:05<00:13, 2.60s/it] 87%|████████▋ | 26/30 [01:07<00:10, 2.60s/it] 90%|█████████ | 27/30 [01:10<00:07, 2.60s/it] 93%|█████████▎| 28/30 [01:13<00:05, 2.60s/it] 97%|█████████▋| 29/30 [01:15<00:02, 2.60s/it] 100%|██████████| 30/30 [01:16<00:00, 2.21s/it] 100%|██████████| 30/30 [01:16<00:00, 2.56s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.03s Uploading outputs... Finished.
prompt
Specify things to see in the output
extremely sharp, home (interior:1.2), extremely detailed, 8k, hdr, high quality, dark moody, log cabin, living room, at night, tiny lights, decorated for christmas,
negative_prompt
Specify things to not see in the output
dull, blurry, (low quality, worst quality:1.4), monochrome, logo, watermark, mosaic censoring,
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
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
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2102823569
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
30
cfg_scale
Scale for classifier-free guidance
7
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/9119a00af9ba49eda742502103f7f6f1/00000-2102823569.webp
https://files.tungsten.run/uploads/2946ce00d4b748df9309df9835762f0f/00001-2102823570.webp
https://files.tungsten.run/uploads/4ab96e31e915485eb02b8f4f8c0a086f/00002-2102823571.webp
Finished in 80.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: extremely sharp, home (interior:1.2), extremely detailed, 8k, hdr, high quality, dark moody, log cabin, living room, at night, tiny lights, decorated for christmas, Full negative prompt: dull, blurry, (low quality, worst quality:1.4), monochrome, logo, watermark, mosaic censoring, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:14, 2.58s/it] 7%|▋ | 2/30 [00:05<01:12, 2.58s/it] 10%|█ | 3/30 [00:07<01:09, 2.59s/it] 13%|█▎ | 4/30 [00:10<01:07, 2.59s/it] 17%|█▋ | 5/30 [00:12<01:04, 2.60s/it] 20%|██ | 6/30 [00:15<01:02, 2.60s/it] 23%|██▎ | 7/30 [00:18<01:00, 2.61s/it] 27%|██▋ | 8/30 [00:20<00:57, 2.62s/it] 30%|███ | 9/30 [00:23<00:55, 2.62s/it] 33%|███▎ | 10/30 [00:26<00:52, 2.62s/it] 37%|███▋ | 11/30 [00:28<00:49, 2.63s/it] 40%|████ | 12/30 [00:31<00:47, 2.63s/it] 43%|████▎ | 13/30 [00:33<00:44, 2.63s/it] 47%|████▋ | 14/30 [00:36<00:42, 2.63s/it] 50%|█████ | 15/30 [00:39<00:39, 2.62s/it] 53%|█████▎ | 16/30 [00:41<00:36, 2.62s/it] 57%|█████▋ | 17/30 [00:44<00:34, 2.62s/it] 60%|██████ | 18/30 [00:47<00:31, 2.62s/it] 63%|██████▎ | 19/30 [00:49<00:28, 2.61s/it] 67%|██████▋ | 20/30 [00:52<00:26, 2.60s/it] 70%|███████ | 21/30 [00:54<00:23, 2.60s/it] 73%|███████▎ | 22/30 [00:57<00:20, 2.60s/it] 77%|███████▋ | 23/30 [01:00<00:18, 2.60s/it] 80%|████████ | 24/30 [01:02<00:15, 2.60s/it] 83%|████████▎ | 25/30 [01:05<00:13, 2.60s/it] 87%|████████▋ | 26/30 [01:07<00:10, 2.60s/it] 90%|█████████ | 27/30 [01:10<00:07, 2.60s/it] 93%|█████████▎| 28/30 [01:13<00:05, 2.60s/it] 97%|█████████▋| 29/30 [01:15<00:02, 2.60s/it] 100%|██████████| 30/30 [01:16<00:00, 2.21s/it] 100%|██████████| 30/30 [01:16<00:00, 2.56s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.03s Uploading outputs... Finished.