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Steampunk Motorcycles with Clarity XL
clarity-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Jun 6
6
Input
prompt
Specify things to see in the output
black-toned action photo of an abyssal nurse driving a steampunk moped in a dark pristine void, intricate white and copper and beige reticulation pattern dress details, motion blurred wheels, desolate, billowing bright glitter, very detailed, <lora:SDXL_Black_Sa_May:0.75> srxl03-4000
negative_prompt
Specify things to not see in the output
loli, child, low quality, face asymmetry, eyes asymmetry, deformed eyes, cgi, plastic, watermark
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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.
3095369858
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
45
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
SDXL_Black_Sa_May.safetensors
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/5b5537551a92468ea7b979f5e1ccea4c/00000-3095369858.webp
https://files.tungsten.run/uploads/31287d8005264651a50c8eb93484a86f/00001-3095369859.webp
https://files.tungsten.run/uploads/4cdc2de196c248319a553f761b4257c1/00002-3095369860.webp
Finished in 72.9 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: black-toned action photo of an abyssal nurse driving a steampunk moped in a dark pristine void, intricate white and copper and beige reticulation pattern dress details, motion blurred wheels, desolate, billowing bright glitter, very detailed, <lora:SDXL_Black_Sa_May:0.75> srxl03-4000 Full negative prompt: loli, child, low quality, face asymmetry, eyes asymmetry, deformed eyes, cgi, plastic, watermark 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:01<01:16, 1.74s/it] 4%|▍ | 2/45 [00:02<00:53, 1.25s/it] 7%|▋ | 3/45 [00:03<00:45, 1.09s/it] 9%|▉ | 4/45 [00:04<00:41, 1.02s/it] 11%|█ | 5/45 [00:05<00:39, 1.02it/s] 13%|█▎ | 6/45 [00:06<00:37, 1.04it/s] 16%|█▌ | 7/45 [00:07<00:35, 1.06it/s] 18%|█▊ | 8/45 [00:08<00:34, 1.07it/s] 20%|██ | 9/45 [00:09<00:33, 1.08it/s] 22%|██▏ | 10/45 [00:09<00:32, 1.08it/s] 24%|██▍ | 11/45 [00:10<00:31, 1.08it/s] 27%|██▋ | 12/45 [00:11<00:30, 1.09it/s] 29%|██▉ | 13/45 [00:12<00:29, 1.09it/s] 31%|███ | 14/45 [00:13<00:28, 1.09it/s] 33%|███▎ | 15/45 [00:14<00:27, 1.09it/s] 36%|███▌ | 16/45 [00:15<00:26, 1.09it/s] 38%|███▊ | 17/45 [00:16<00:25, 1.09it/s] 40%|████ | 18/45 [00:17<00:24, 1.09it/s] 42%|████▏ | 19/45 [00:18<00:23, 1.09it/s] 44%|████▍ | 20/45 [00:19<00:23, 1.09it/s] 47%|████▋ | 21/45 [00:20<00:22, 1.09it/s] 49%|████▉ | 22/45 [00:20<00:21, 1.08it/s] 51%|█████ | 23/45 [00:21<00:20, 1.09it/s] 53%|█████▎ | 24/45 [00:22<00:19, 1.08it/s] 56%|█████▌ | 25/45 [00:23<00:18, 1.08it/s] 58%|█████▊ | 26/45 [00:24<00:17, 1.08it/s] 60%|██████ | 27/45 [00:25<00:16, 1.08it/s] 62%|██████▏ | 28/45 [00:26<00:15, 1.08it/s] 64%|██████▍ | 29/45 [00:27<00:14, 1.08it/s] 67%|██████▋ | 30/45 [00:28<00:13, 1.08it/s] 69%|██████▉ | 31/45 [00:29<00:12, 1.08it/s] 71%|███████ | 32/45 [00:30<00:12, 1.08it/s] 73%|███████▎ | 33/45 [00:31<00:11, 1.08it/s] 76%|███████▌ | 34/45 [00:32<00:10, 1.08it/s] 78%|███████▊ | 35/45 [00:33<00:09, 1.08it/s] 80%|████████ | 36/45 [00:33<00:08, 1.08it/s] 82%|████████▏ | 37/45 [00:34<00:07, 1.08it/s] 84%|████████▍ | 38/45 [00:35<00:06, 1.08it/s] 87%|████████▋ | 39/45 [00:36<00:05, 1.08it/s] 89%|████████▉ | 40/45 [00:37<00:04, 1.08it/s] 91%|█████████ | 41/45 [00:38<00:03, 1.08it/s] 93%|█████████▎| 42/45 [00:39<00:02, 1.08it/s] 96%|█████████▌| 43/45 [00:40<00:01, 1.08it/s] 98%|█████████▊| 44/45 [00:41<00:00, 1.08it/s] 100%|██████████| 45/45 [00:42<00:00, 1.08it/s] 100%|██████████| 45/45 [00:42<00:00, 1.06it/s] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.01s
prompt
Specify things to see in the output
black-toned action photo of an abyssal nurse driving a steampunk moped in a dark pristine void, intricate white and copper and beige reticulation pattern dress details, motion blurred wheels, desolate, billowing bright glitter, very detailed, <lora:SDXL_Black_Sa_May:0.75> srxl03-4000
negative_prompt
Specify things to not see in the output
loli, child, low quality, face asymmetry, eyes asymmetry, deformed eyes, cgi, plastic, watermark
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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.
3095369858
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
45
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
SDXL_Black_Sa_May.safetensors
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/5b5537551a92468ea7b979f5e1ccea4c/00000-3095369858.webp
https://files.tungsten.run/uploads/31287d8005264651a50c8eb93484a86f/00001-3095369859.webp
https://files.tungsten.run/uploads/4cdc2de196c248319a553f761b4257c1/00002-3095369860.webp
Finished in 72.9 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: black-toned action photo of an abyssal nurse driving a steampunk moped in a dark pristine void, intricate white and copper and beige reticulation pattern dress details, motion blurred wheels, desolate, billowing bright glitter, very detailed, <lora:SDXL_Black_Sa_May:0.75> srxl03-4000 Full negative prompt: loli, child, low quality, face asymmetry, eyes asymmetry, deformed eyes, cgi, plastic, watermark 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:01<01:16, 1.74s/it] 4%|▍ | 2/45 [00:02<00:53, 1.25s/it] 7%|▋ | 3/45 [00:03<00:45, 1.09s/it] 9%|▉ | 4/45 [00:04<00:41, 1.02s/it] 11%|█ | 5/45 [00:05<00:39, 1.02it/s] 13%|█▎ | 6/45 [00:06<00:37, 1.04it/s] 16%|█▌ | 7/45 [00:07<00:35, 1.06it/s] 18%|█▊ | 8/45 [00:08<00:34, 1.07it/s] 20%|██ | 9/45 [00:09<00:33, 1.08it/s] 22%|██▏ | 10/45 [00:09<00:32, 1.08it/s] 24%|██▍ | 11/45 [00:10<00:31, 1.08it/s] 27%|██▋ | 12/45 [00:11<00:30, 1.09it/s] 29%|██▉ | 13/45 [00:12<00:29, 1.09it/s] 31%|███ | 14/45 [00:13<00:28, 1.09it/s] 33%|███▎ | 15/45 [00:14<00:27, 1.09it/s] 36%|███▌ | 16/45 [00:15<00:26, 1.09it/s] 38%|███▊ | 17/45 [00:16<00:25, 1.09it/s] 40%|████ | 18/45 [00:17<00:24, 1.09it/s] 42%|████▏ | 19/45 [00:18<00:23, 1.09it/s] 44%|████▍ | 20/45 [00:19<00:23, 1.09it/s] 47%|████▋ | 21/45 [00:20<00:22, 1.09it/s] 49%|████▉ | 22/45 [00:20<00:21, 1.08it/s] 51%|█████ | 23/45 [00:21<00:20, 1.09it/s] 53%|█████▎ | 24/45 [00:22<00:19, 1.08it/s] 56%|█████▌ | 25/45 [00:23<00:18, 1.08it/s] 58%|█████▊ | 26/45 [00:24<00:17, 1.08it/s] 60%|██████ | 27/45 [00:25<00:16, 1.08it/s] 62%|██████▏ | 28/45 [00:26<00:15, 1.08it/s] 64%|██████▍ | 29/45 [00:27<00:14, 1.08it/s] 67%|██████▋ | 30/45 [00:28<00:13, 1.08it/s] 69%|██████▉ | 31/45 [00:29<00:12, 1.08it/s] 71%|███████ | 32/45 [00:30<00:12, 1.08it/s] 73%|███████▎ | 33/45 [00:31<00:11, 1.08it/s] 76%|███████▌ | 34/45 [00:32<00:10, 1.08it/s] 78%|███████▊ | 35/45 [00:33<00:09, 1.08it/s] 80%|████████ | 36/45 [00:33<00:08, 1.08it/s] 82%|████████▏ | 37/45 [00:34<00:07, 1.08it/s] 84%|████████▍ | 38/45 [00:35<00:06, 1.08it/s] 87%|████████▋ | 39/45 [00:36<00:05, 1.08it/s] 89%|████████▉ | 40/45 [00:37<00:04, 1.08it/s] 91%|█████████ | 41/45 [00:38<00:03, 1.08it/s] 93%|█████████▎| 42/45 [00:39<00:02, 1.08it/s] 96%|█████████▌| 43/45 [00:40<00:01, 1.08it/s] 98%|█████████▊| 44/45 [00:41<00:00, 1.08it/s] 100%|██████████| 45/45 [00:42<00:00, 1.08it/s] 100%|██████████| 45/45 [00:42<00:00, 1.06it/s] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.01s