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Night Trains with Grimlock SDXL
grimlock-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Feb 13
369
Input
prompt
Specify things to see in the output
Across the dark and dusty plain Where scars of old dry rivers run Night unfolds a coal black shroud Across the hard and stony ground Distant stars shining bright In the cavern of the night All is still and silence screams To the thunder of the Lorca train Flaming steel swift as wind Wires hum the rails ring Smokestack burning fiery sparks Rise up to the stars Towns asleep by empty roads Churches rise from crooked roofs Cloaked in darkness nothing stirs Grow smaller darker disappear See the moon so still and cold A million stars that shed no warmth Your nightmares all come out to play In the silver light Wait for sunrise in the east Long shadows crawl across the plain The ghosts of night will disappear And lay your fears to rest Steam hissed up, the hot coals glowed The furnace blazed, the wheels they rolled On tracks of iron straight and cold The silver moonlight danced The flames are in the fireman's eye Orange in the engines glow Gleaming pistons whirling cranks Wait for dawn the rooster's crow, perfect composition, digital painting, ambient occlusion, 3d liquid detailing, subsurface scattering, octane render, VRay, 16k, Unreal Engine 5, masterpiece, high quality
negative_prompt
Specify things to not see in the output
low quality, low res, easynegative, loli, boring,
xl_yamer_style
Xl Yamer Style
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1025
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.
1399307397
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
52
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/134dc1fba00c41bb9b67ec4a92473d85/00000-1399307397.webp
https://files.tungsten.run/uploads/92ccc7eae1f34a93b78feea42adc8891/00001-1399307398.webp
https://files.tungsten.run/uploads/d2398b2e243146e19633d5f93ecb8070/00002-1399307399.webp
Finished in 55.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, Across the dark and dusty plain Where scars of old dry rivers run Night unfolds a coal black shroud Across the hard and stony ground Distant stars shining bright In the cavern of the night All is still and silence screams To the thunder of the Lorca train Flaming steel swift as wind Wires hum the rails ring Smokestack burning fiery sparks Rise up to the stars Towns asleep by empty roads Churches rise from crooked roofs Cloaked in darkness nothing stirs Grow smaller darker disappear See the moon so still and cold A million stars that shed no warmth Your nightmares all come out to play In the silver light Wait for sunrise in the east Long shadows crawl across the plain The ghosts of night will disappear And lay your fears to rest Steam hissed up, the hot coals glowed The furnace blazed, the wheels they rolled On tracks of iron straight and cold The silver moonlight danced The flames are in the fireman's eye Orange in the engines glow Gleaming pistons whirling cranks Wait for dawn the rooster's crow, perfect composition, digital painting, ambient occlusion, 3d liquid detailing, subsurface scattering, octane render, VRay, 16k, Unreal Engine 5, masterpiece, high quality Full negative prompt: low quality, low res, easynegative, loli, boring, 0%| | 0/52 [00:00<?, ?it/s] 2%|▏ | 1/52 [00:00<00:44, 1.14it/s] 4%|▍ | 2/52 [00:01<00:43, 1.15it/s] 6%|▌ | 3/52 [00:02<00:42, 1.15it/s] 8%|▊ | 4/52 [00:03<00:41, 1.15it/s] 10%|▉ | 5/52 [00:04<00:40, 1.15it/s] 12%|█▏ | 6/52 [00:05<00:39, 1.15it/s] 13%|█▎ | 7/52 [00:06<00:38, 1.16it/s] 15%|█▌ | 8/52 [00:06<00:38, 1.16it/s] 17%|█▋ | 9/52 [00:07<00:37, 1.16it/s] 19%|█▉ | 10/52 [00:08<00:36, 1.16it/s] 21%|██ | 11/52 [00:09<00:35, 1.15it/s] 23%|██▎ | 12/52 [00:10<00:34, 1.15it/s] 25%|██▌ | 13/52 [00:11<00:33, 1.15it/s] 27%|██▋ | 14/52 [00:12<00:32, 1.15it/s] 29%|██▉ | 15/52 [00:12<00:32, 1.15it/s] 31%|███ | 16/52 [00:13<00:31, 1.15it/s] 33%|███▎ | 17/52 [00:14<00:30, 1.15it/s] 35%|███▍ | 18/52 [00:15<00:29, 1.15it/s] 37%|███▋ | 19/52 [00:16<00:28, 1.15it/s] 38%|███▊ | 20/52 [00:17<00:27, 1.15it/s] 40%|████ | 21/52 [00:18<00:26, 1.15it/s] 42%|████▏ | 22/52 [00:19<00:26, 1.15it/s] 44%|████▍ | 23/52 [00:19<00:25, 1.15it/s] 46%|████▌ | 24/52 [00:20<00:24, 1.15it/s] 48%|████▊ | 25/52 [00:21<00:23, 1.15it/s] 50%|█████ | 26/52 [00:22<00:22, 1.15it/s] 52%|█████▏ | 27/52 [00:23<00:21, 1.15it/s] 54%|█████▍ | 28/52 [00:24<00:20, 1.15it/s] 56%|█████▌ | 29/52 [00:25<00:20, 1.15it/s] 58%|█████▊ | 30/52 [00:26<00:19, 1.15it/s] 60%|█████▉ | 31/52 [00:26<00:18, 1.15it/s] 62%|██████▏ | 32/52 [00:27<00:17, 1.15it/s] 63%|██████▎ | 33/52 [00:28<00:16, 1.15it/s] 65%|██████▌ | 34/52 [00:29<00:15, 1.15it/s] 67%|██████▋ | 35/52 [00:30<00:14, 1.15it/s] 69%|██████▉ | 36/52 [00:31<00:13, 1.15it/s] 71%|███████ | 37/52 [00:32<00:13, 1.15it/s] 73%|███████▎ | 38/52 [00:33<00:12, 1.15it/s] 75%|███████▌ | 39/52 [00:33<00:11, 1.15it/s] 77%|███████▋ | 40/52 [00:34<00:10, 1.15it/s] 79%|███████▉ | 41/52 [00:35<00:09, 1.15it/s] 81%|████████ | 42/52 [00:36<00:08, 1.15it/s] 83%|████████▎ | 43/52 [00:37<00:07, 1.15it/s] 85%|████████▍ | 44/52 [00:38<00:06, 1.15it/s] 87%|████████▋ | 45/52 [00:39<00:06, 1.15it/s] 88%|████████▊ | 46/52 [00:39<00:05, 1.15it/s] 90%|█████████ | 47/52 [00:40<00:04, 1.15it/s] 92%|█████████▏| 48/52 [00:41<00:03, 1.15it/s] 94%|█████████▍| 49/52 [00:42<00:02, 1.15it/s] 96%|█████████▌| 50/52 [00:43<00:01, 1.15it/s] 98%|█████████▊| 51/52 [00:44<00:00, 1.15it/s] 100%|██████████| 52/52 [00:45<00:00, 1.15it/s] 100%|██████████| 52/52 [00:45<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.68s Move latents to cpu... done in 0.01s 0: 640x480 (no detections), 159.2ms Speed: 3.1ms preprocess, 159.2ms inference, 9.3ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 8.0ms Speed: 2.5ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
Across the dark and dusty plain Where scars of old dry rivers run Night unfolds a coal black shroud Across the hard and stony ground Distant stars shining bright In the cavern of the night All is still and silence screams To the thunder of the Lorca train Flaming steel swift as wind Wires hum the rails ring Smokestack burning fiery sparks Rise up to the stars Towns asleep by empty roads Churches rise from crooked roofs Cloaked in darkness nothing stirs Grow smaller darker disappear See the moon so still and cold A million stars that shed no warmth Your nightmares all come out to play In the silver light Wait for sunrise in the east Long shadows crawl across the plain The ghosts of night will disappear And lay your fears to rest Steam hissed up, the hot coals glowed The furnace blazed, the wheels they rolled On tracks of iron straight and cold The silver moonlight danced The flames are in the fireman's eye Orange in the engines glow Gleaming pistons whirling cranks Wait for dawn the rooster's crow, perfect composition, digital painting, ambient occlusion, 3d liquid detailing, subsurface scattering, octane render, VRay, 16k, Unreal Engine 5, masterpiece, high quality
negative_prompt
Specify things to not see in the output
low quality, low res, easynegative, loli, boring,
xl_yamer_style
Xl Yamer Style
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1025
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.
1399307397
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
52
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/134dc1fba00c41bb9b67ec4a92473d85/00000-1399307397.webp
https://files.tungsten.run/uploads/92ccc7eae1f34a93b78feea42adc8891/00001-1399307398.webp
https://files.tungsten.run/uploads/d2398b2e243146e19633d5f93ecb8070/00002-1399307399.webp
Finished in 55.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, Across the dark and dusty plain Where scars of old dry rivers run Night unfolds a coal black shroud Across the hard and stony ground Distant stars shining bright In the cavern of the night All is still and silence screams To the thunder of the Lorca train Flaming steel swift as wind Wires hum the rails ring Smokestack burning fiery sparks Rise up to the stars Towns asleep by empty roads Churches rise from crooked roofs Cloaked in darkness nothing stirs Grow smaller darker disappear See the moon so still and cold A million stars that shed no warmth Your nightmares all come out to play In the silver light Wait for sunrise in the east Long shadows crawl across the plain The ghosts of night will disappear And lay your fears to rest Steam hissed up, the hot coals glowed The furnace blazed, the wheels they rolled On tracks of iron straight and cold The silver moonlight danced The flames are in the fireman's eye Orange in the engines glow Gleaming pistons whirling cranks Wait for dawn the rooster's crow, perfect composition, digital painting, ambient occlusion, 3d liquid detailing, subsurface scattering, octane render, VRay, 16k, Unreal Engine 5, masterpiece, high quality Full negative prompt: low quality, low res, easynegative, loli, boring, 0%| | 0/52 [00:00<?, ?it/s] 2%|▏ | 1/52 [00:00<00:44, 1.14it/s] 4%|▍ | 2/52 [00:01<00:43, 1.15it/s] 6%|▌ | 3/52 [00:02<00:42, 1.15it/s] 8%|▊ | 4/52 [00:03<00:41, 1.15it/s] 10%|▉ | 5/52 [00:04<00:40, 1.15it/s] 12%|█▏ | 6/52 [00:05<00:39, 1.15it/s] 13%|█▎ | 7/52 [00:06<00:38, 1.16it/s] 15%|█▌ | 8/52 [00:06<00:38, 1.16it/s] 17%|█▋ | 9/52 [00:07<00:37, 1.16it/s] 19%|█▉ | 10/52 [00:08<00:36, 1.16it/s] 21%|██ | 11/52 [00:09<00:35, 1.15it/s] 23%|██▎ | 12/52 [00:10<00:34, 1.15it/s] 25%|██▌ | 13/52 [00:11<00:33, 1.15it/s] 27%|██▋ | 14/52 [00:12<00:32, 1.15it/s] 29%|██▉ | 15/52 [00:12<00:32, 1.15it/s] 31%|███ | 16/52 [00:13<00:31, 1.15it/s] 33%|███▎ | 17/52 [00:14<00:30, 1.15it/s] 35%|███▍ | 18/52 [00:15<00:29, 1.15it/s] 37%|███▋ | 19/52 [00:16<00:28, 1.15it/s] 38%|███▊ | 20/52 [00:17<00:27, 1.15it/s] 40%|████ | 21/52 [00:18<00:26, 1.15it/s] 42%|████▏ | 22/52 [00:19<00:26, 1.15it/s] 44%|████▍ | 23/52 [00:19<00:25, 1.15it/s] 46%|████▌ | 24/52 [00:20<00:24, 1.15it/s] 48%|████▊ | 25/52 [00:21<00:23, 1.15it/s] 50%|█████ | 26/52 [00:22<00:22, 1.15it/s] 52%|█████▏ | 27/52 [00:23<00:21, 1.15it/s] 54%|█████▍ | 28/52 [00:24<00:20, 1.15it/s] 56%|█████▌ | 29/52 [00:25<00:20, 1.15it/s] 58%|█████▊ | 30/52 [00:26<00:19, 1.15it/s] 60%|█████▉ | 31/52 [00:26<00:18, 1.15it/s] 62%|██████▏ | 32/52 [00:27<00:17, 1.15it/s] 63%|██████▎ | 33/52 [00:28<00:16, 1.15it/s] 65%|██████▌ | 34/52 [00:29<00:15, 1.15it/s] 67%|██████▋ | 35/52 [00:30<00:14, 1.15it/s] 69%|██████▉ | 36/52 [00:31<00:13, 1.15it/s] 71%|███████ | 37/52 [00:32<00:13, 1.15it/s] 73%|███████▎ | 38/52 [00:33<00:12, 1.15it/s] 75%|███████▌ | 39/52 [00:33<00:11, 1.15it/s] 77%|███████▋ | 40/52 [00:34<00:10, 1.15it/s] 79%|███████▉ | 41/52 [00:35<00:09, 1.15it/s] 81%|████████ | 42/52 [00:36<00:08, 1.15it/s] 83%|████████▎ | 43/52 [00:37<00:07, 1.15it/s] 85%|████████▍ | 44/52 [00:38<00:06, 1.15it/s] 87%|████████▋ | 45/52 [00:39<00:06, 1.15it/s] 88%|████████▊ | 46/52 [00:39<00:05, 1.15it/s] 90%|█████████ | 47/52 [00:40<00:04, 1.15it/s] 92%|█████████▏| 48/52 [00:41<00:03, 1.15it/s] 94%|█████████▍| 49/52 [00:42<00:02, 1.15it/s] 96%|█████████▌| 50/52 [00:43<00:01, 1.15it/s] 98%|█████████▊| 51/52 [00:44<00:00, 1.15it/s] 100%|██████████| 52/52 [00:45<00:00, 1.15it/s] 100%|██████████| 52/52 [00:45<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.68s Move latents to cpu... done in 0.01s 0: 640x480 (no detections), 159.2ms Speed: 3.1ms preprocess, 159.2ms inference, 9.3ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 8.0ms Speed: 2.5ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.