tungsten-logo
Sign In
Alien Bus with Bright Proto Nuke XL
bright-proto-nuke-xl:v1.3
evevalentine2017
evevalentine2017
·
Jan 28
370
Input
prompt
Specify things to see in the output
Hyper realistic image of a bus, inspired by H.R. Giger:0.5. Use black, grey, or metallic colors. masterpiece, unreal engine, 8k
negative_prompt
Specify things to not see in the output
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.
774502544
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++ 2M Karras
samping_steps
Number of denoising steps
64
cfg_scale
Scale for classifier-free guidance
4
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/1d9313c6eab941e89d6251b6eda1769a/00000-774502544.webp
https://files.tungsten.run/uploads/827f956e6cf54758aefa7bb3edf1067c/00001-774502545.webp
https://files.tungsten.run/uploads/75db8814d91c4ae88c5010484b45549e/00002-774502546.webp
Finished in 88.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Hyper realistic image of a bus, inspired by H.R. Giger:0.5. Use black, grey, or metallic colors. masterpiece, unreal engine, 8k Full negative prompt: 0%| | 0/64 [00:00<?, ?it/s] 2%|▏ | 1/64 [00:01<01:22, 1.32s/it] 3%|▎ | 2/64 [00:02<01:20, 1.30s/it] 5%|▍ | 3/64 [00:03<01:19, 1.30s/it] 6%|▋ | 4/64 [00:05<01:18, 1.31s/it] 8%|▊ | 5/64 [00:06<01:17, 1.31s/it] 9%|▉ | 6/64 [00:07<01:15, 1.31s/it] 11%|█ | 7/64 [00:09<01:14, 1.31s/it] 12%|█▎ | 8/64 [00:10<01:13, 1.31s/it] 14%|█▍ | 9/64 [00:11<01:12, 1.31s/it] 16%|█▌ | 10/64 [00:13<01:10, 1.31s/it] 17%|█▋ | 11/64 [00:14<01:09, 1.32s/it] 19%|█▉ | 12/64 [00:15<01:08, 1.32s/it] 20%|██ | 13/64 [00:17<01:07, 1.32s/it] 22%|██▏ | 14/64 [00:18<01:05, 1.32s/it] 23%|██▎ | 15/64 [00:19<01:04, 1.32s/it] 25%|██▌ | 16/64 [00:21<01:03, 1.32s/it] 27%|██▋ | 17/64 [00:22<01:02, 1.32s/it] 28%|██▊ | 18/64 [00:23<01:00, 1.33s/it] 30%|██▉ | 19/64 [00:25<00:59, 1.32s/it] 31%|███▏ | 20/64 [00:26<00:58, 1.33s/it] 33%|███▎ | 21/64 [00:27<00:57, 1.33s/it] 34%|███▍ | 22/64 [00:29<00:55, 1.33s/it] 36%|███▌ | 23/64 [00:30<00:54, 1.33s/it] 38%|███▊ | 24/64 [00:31<00:52, 1.32s/it] 39%|███▉ | 25/64 [00:32<00:51, 1.32s/it] 41%|████ | 26/64 [00:34<00:50, 1.32s/it] 42%|████▏ | 27/64 [00:35<00:48, 1.32s/it] 44%|████▍ | 28/64 [00:36<00:47, 1.32s/it] 45%|████▌ | 29/64 [00:38<00:46, 1.32s/it] 47%|████▋ | 30/64 [00:39<00:44, 1.32s/it] 48%|████▊ | 31/64 [00:40<00:43, 1.32s/it] 50%|█████ | 32/64 [00:42<00:42, 1.32s/it] 52%|█████▏ | 33/64 [00:43<00:40, 1.32s/it] 53%|█████▎ | 34/64 [00:44<00:39, 1.32s/it] 55%|█████▍ | 35/64 [00:46<00:38, 1.32s/it] 56%|█████▋ | 36/64 [00:47<00:36, 1.32s/it] 58%|█████▊ | 37/64 [00:48<00:35, 1.32s/it] 59%|█████▉ | 38/64 [00:50<00:34, 1.32s/it] 61%|██████ | 39/64 [00:51<00:32, 1.32s/it] 62%|██████▎ | 40/64 [00:52<00:31, 1.32s/it] 64%|██████▍ | 41/64 [00:54<00:30, 1.32s/it] 66%|██████▌ | 42/64 [00:55<00:29, 1.32s/it] 67%|██████▋ | 43/64 [00:56<00:27, 1.32s/it] 69%|██████▉ | 44/64 [00:58<00:26, 1.32s/it] 70%|███████ | 45/64 [00:59<00:25, 1.33s/it] 72%|███████▏ | 46/64 [01:00<00:23, 1.33s/it] 73%|███████▎ | 47/64 [01:02<00:22, 1.33s/it] 75%|███████▌ | 48/64 [01:03<00:21, 1.33s/it] 77%|███████▋ | 49/64 [01:04<00:19, 1.33s/it] 78%|███████▊ | 50/64 [01:06<00:18, 1.33s/it] 80%|███████▉ | 51/64 [01:07<00:17, 1.34s/it] 81%|████████▏ | 52/64 [01:08<00:16, 1.34s/it] 83%|████████▎ | 53/64 [01:10<00:14, 1.34s/it] 84%|████████▍ | 54/64 [01:11<00:13, 1.34s/it] 86%|████████▌ | 55/64 [01:12<00:12, 1.34s/it] 88%|████████▊ | 56/64 [01:14<00:10, 1.35s/it] 89%|████████▉ | 57/64 [01:15<00:09, 1.35s/it] 91%|█████████ | 58/64 [01:16<00:08, 1.35s/it] 92%|█████████▏| 59/64 [01:18<00:06, 1.35s/it] 94%|█████████▍| 60/64 [01:19<00:05, 1.35s/it] 95%|█████████▌| 61/64 [01:20<00:04, 1.36s/it] 97%|█████████▋| 62/64 [01:22<00:02, 1.36s/it] 98%|█████████▊| 63/64 [01:23<00:01, 1.36s/it] 100%|██████████| 64/64 [01:24<00:00, 1.35s/it] 100%|██████████| 64/64 [01:24<00:00, 1.33s/it] Decoding latents in cuda:0... done in 2.37s Move latents to cpu... done in 0.03s Uploading outputs... Finished.
prompt
Specify things to see in the output
Hyper realistic image of a bus, inspired by H.R. Giger:0.5. Use black, grey, or metallic colors. masterpiece, unreal engine, 8k
negative_prompt
Specify things to not see in the output
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.
774502544
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++ 2M Karras
samping_steps
Number of denoising steps
64
cfg_scale
Scale for classifier-free guidance
4
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/1d9313c6eab941e89d6251b6eda1769a/00000-774502544.webp
https://files.tungsten.run/uploads/827f956e6cf54758aefa7bb3edf1067c/00001-774502545.webp
https://files.tungsten.run/uploads/75db8814d91c4ae88c5010484b45549e/00002-774502546.webp
Finished in 88.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Hyper realistic image of a bus, inspired by H.R. Giger:0.5. Use black, grey, or metallic colors. masterpiece, unreal engine, 8k Full negative prompt: 0%| | 0/64 [00:00<?, ?it/s] 2%|▏ | 1/64 [00:01<01:22, 1.32s/it] 3%|▎ | 2/64 [00:02<01:20, 1.30s/it] 5%|▍ | 3/64 [00:03<01:19, 1.30s/it] 6%|▋ | 4/64 [00:05<01:18, 1.31s/it] 8%|▊ | 5/64 [00:06<01:17, 1.31s/it] 9%|▉ | 6/64 [00:07<01:15, 1.31s/it] 11%|█ | 7/64 [00:09<01:14, 1.31s/it] 12%|█▎ | 8/64 [00:10<01:13, 1.31s/it] 14%|█▍ | 9/64 [00:11<01:12, 1.31s/it] 16%|█▌ | 10/64 [00:13<01:10, 1.31s/it] 17%|█▋ | 11/64 [00:14<01:09, 1.32s/it] 19%|█▉ | 12/64 [00:15<01:08, 1.32s/it] 20%|██ | 13/64 [00:17<01:07, 1.32s/it] 22%|██▏ | 14/64 [00:18<01:05, 1.32s/it] 23%|██▎ | 15/64 [00:19<01:04, 1.32s/it] 25%|██▌ | 16/64 [00:21<01:03, 1.32s/it] 27%|██▋ | 17/64 [00:22<01:02, 1.32s/it] 28%|██▊ | 18/64 [00:23<01:00, 1.33s/it] 30%|██▉ | 19/64 [00:25<00:59, 1.32s/it] 31%|███▏ | 20/64 [00:26<00:58, 1.33s/it] 33%|███▎ | 21/64 [00:27<00:57, 1.33s/it] 34%|███▍ | 22/64 [00:29<00:55, 1.33s/it] 36%|███▌ | 23/64 [00:30<00:54, 1.33s/it] 38%|███▊ | 24/64 [00:31<00:52, 1.32s/it] 39%|███▉ | 25/64 [00:32<00:51, 1.32s/it] 41%|████ | 26/64 [00:34<00:50, 1.32s/it] 42%|████▏ | 27/64 [00:35<00:48, 1.32s/it] 44%|████▍ | 28/64 [00:36<00:47, 1.32s/it] 45%|████▌ | 29/64 [00:38<00:46, 1.32s/it] 47%|████▋ | 30/64 [00:39<00:44, 1.32s/it] 48%|████▊ | 31/64 [00:40<00:43, 1.32s/it] 50%|█████ | 32/64 [00:42<00:42, 1.32s/it] 52%|█████▏ | 33/64 [00:43<00:40, 1.32s/it] 53%|█████▎ | 34/64 [00:44<00:39, 1.32s/it] 55%|█████▍ | 35/64 [00:46<00:38, 1.32s/it] 56%|█████▋ | 36/64 [00:47<00:36, 1.32s/it] 58%|█████▊ | 37/64 [00:48<00:35, 1.32s/it] 59%|█████▉ | 38/64 [00:50<00:34, 1.32s/it] 61%|██████ | 39/64 [00:51<00:32, 1.32s/it] 62%|██████▎ | 40/64 [00:52<00:31, 1.32s/it] 64%|██████▍ | 41/64 [00:54<00:30, 1.32s/it] 66%|██████▌ | 42/64 [00:55<00:29, 1.32s/it] 67%|██████▋ | 43/64 [00:56<00:27, 1.32s/it] 69%|██████▉ | 44/64 [00:58<00:26, 1.32s/it] 70%|███████ | 45/64 [00:59<00:25, 1.33s/it] 72%|███████▏ | 46/64 [01:00<00:23, 1.33s/it] 73%|███████▎ | 47/64 [01:02<00:22, 1.33s/it] 75%|███████▌ | 48/64 [01:03<00:21, 1.33s/it] 77%|███████▋ | 49/64 [01:04<00:19, 1.33s/it] 78%|███████▊ | 50/64 [01:06<00:18, 1.33s/it] 80%|███████▉ | 51/64 [01:07<00:17, 1.34s/it] 81%|████████▏ | 52/64 [01:08<00:16, 1.34s/it] 83%|████████▎ | 53/64 [01:10<00:14, 1.34s/it] 84%|████████▍ | 54/64 [01:11<00:13, 1.34s/it] 86%|████████▌ | 55/64 [01:12<00:12, 1.34s/it] 88%|████████▊ | 56/64 [01:14<00:10, 1.35s/it] 89%|████████▉ | 57/64 [01:15<00:09, 1.35s/it] 91%|█████████ | 58/64 [01:16<00:08, 1.35s/it] 92%|█████████▏| 59/64 [01:18<00:06, 1.35s/it] 94%|█████████▍| 60/64 [01:19<00:05, 1.35s/it] 95%|█████████▌| 61/64 [01:20<00:04, 1.36s/it] 97%|█████████▋| 62/64 [01:22<00:02, 1.36s/it] 98%|█████████▊| 63/64 [01:23<00:01, 1.36s/it] 100%|██████████| 64/64 [01:24<00:00, 1.35s/it] 100%|██████████| 64/64 [01:24<00:00, 1.33s/it] Decoding latents in cuda:0... done in 2.37s Move latents to cpu... done in 0.03s Uploading outputs... Finished.