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Scratchboard Illustration with Illustration Art XL
illustration-art-xl:v1.0
evevalentine2017
evevalentine2017
·
Mar 10
353
Input
prompt
Specify things to see in the output
scratchboard illustration of a postman in uniform sitting on a motorcycle, solid white background, detailed, monochrome
negative_prompt
Specify things to not see in the output
color
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.
3051593204
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
Euler a
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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/67d6e194a07c4fba89a8015ecb8158f8/00000-3051593204.webp
https://files.tungsten.run/uploads/c5120e73d210483781349207c38c922c/00001-3051593205.webp
https://files.tungsten.run/uploads/cfa1966a934c4fc69a8f66a5789fa969/00002-3051593206.webp
Finished in 43.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: scratchboard illustration of a postman in uniform sitting on a motorcycle, solid white background, detailed, monochrome Full negative prompt: color 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:18, 1.04it/s] 10%|█ | 2/20 [00:01<00:17, 1.05it/s] 15%|█▌ | 3/20 [00:02<00:16, 1.05it/s] 20%|██ | 4/20 [00:03<00:15, 1.05it/s] 25%|██▌ | 5/20 [00:04<00:14, 1.05it/s] 30%|███ | 6/20 [00:05<00:13, 1.05it/s] 35%|███▌ | 7/20 [00:06<00:12, 1.05it/s] 40%|████ | 8/20 [00:07<00:11, 1.05it/s] 45%|████▌ | 9/20 [00:08<00:10, 1.05it/s] 50%|█████ | 10/20 [00:09<00:09, 1.04it/s] 55%|█████▌ | 11/20 [00:10<00:08, 1.04it/s] 60%|██████ | 12/20 [00:11<00:07, 1.04it/s] 65%|██████▌ | 13/20 [00:12<00:06, 1.04it/s] 70%|███████ | 14/20 [00:13<00:05, 1.04it/s] 75%|███████▌ | 15/20 [00:14<00:04, 1.04it/s] 80%|████████ | 16/20 [00:15<00:03, 1.04it/s] 85%|████████▌ | 17/20 [00:16<00:02, 1.04it/s] 90%|█████████ | 18/20 [00:17<00:01, 1.04it/s] 95%|█████████▌| 19/20 [00:18<00:00, 1.04it/s] 100%|██████████| 20/20 [00:19<00:00, 1.05it/s] 100%|██████████| 20/20 [00:19<00:00, 1.04it/s] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 161.3ms Speed: 2.5ms preprocess, 161.3ms inference, 28.1ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.07it/s] 20%|██ | 2/10 [00:00<00:03, 2.49it/s] 30%|███ | 3/10 [00:01<00:02, 2.71it/s] 40%|████ | 4/10 [00:01<00:02, 2.82it/s] 50%|█████ | 5/10 [00:01<00:01, 2.87it/s] 60%|██████ | 6/10 [00:02<00:01, 2.88it/s] 70%|███████ | 7/10 [00:02<00:01, 2.88it/s] 80%|████████ | 8/10 [00:02<00:00, 2.88it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.87it/s] 100%|██████████| 10/10 [00:03<00:00, 2.90it/s] 100%|██████████| 10/10 [00:03<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.85it/s] 20%|██ | 2/10 [00:00<00:02, 2.92it/s] 30%|███ | 3/10 [00:01<00:02, 2.96it/s] 40%|████ | 4/10 [00:01<00:02, 2.95it/s] 50%|█████ | 5/10 [00:01<00:01, 2.95it/s] 60%|██████ | 6/10 [00:02<00:01, 2.97it/s] 70%|███████ | 7/10 [00:02<00:01, 2.96it/s] 80%|████████ | 8/10 [00:02<00:00, 2.94it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.95it/s] 100%|██████████| 10/10 [00:03<00:00, 2.96it/s] 100%|██████████| 10/10 [00:03<00:00, 2.95it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.5ms Speed: 2.4ms preprocess, 8.5ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.84it/s] 20%|██ | 2/10 [00:00<00:02, 2.85it/s] 30%|███ | 3/10 [00:01<00:02, 2.85it/s] 40%|████ | 4/10 [00:01<00:02, 2.85it/s] 50%|█████ | 5/10 [00:01<00:01, 2.87it/s] 60%|██████ | 6/10 [00:02<00:01, 2.90it/s] 70%|███████ | 7/10 [00:02<00:01, 2.89it/s] 80%|████████ | 8/10 [00:02<00:00, 2.92it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.95it/s] 100%|██████████| 10/10 [00:03<00:00, 2.99it/s] 100%|██████████| 10/10 [00:03<00:00, 2.92it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
scratchboard illustration of a postman in uniform sitting on a motorcycle, solid white background, detailed, monochrome
negative_prompt
Specify things to not see in the output
color
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.
3051593204
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
Euler a
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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/67d6e194a07c4fba89a8015ecb8158f8/00000-3051593204.webp
https://files.tungsten.run/uploads/c5120e73d210483781349207c38c922c/00001-3051593205.webp
https://files.tungsten.run/uploads/cfa1966a934c4fc69a8f66a5789fa969/00002-3051593206.webp
Finished in 43.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: scratchboard illustration of a postman in uniform sitting on a motorcycle, solid white background, detailed, monochrome Full negative prompt: color 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:18, 1.04it/s] 10%|█ | 2/20 [00:01<00:17, 1.05it/s] 15%|█▌ | 3/20 [00:02<00:16, 1.05it/s] 20%|██ | 4/20 [00:03<00:15, 1.05it/s] 25%|██▌ | 5/20 [00:04<00:14, 1.05it/s] 30%|███ | 6/20 [00:05<00:13, 1.05it/s] 35%|███▌ | 7/20 [00:06<00:12, 1.05it/s] 40%|████ | 8/20 [00:07<00:11, 1.05it/s] 45%|████▌ | 9/20 [00:08<00:10, 1.05it/s] 50%|█████ | 10/20 [00:09<00:09, 1.04it/s] 55%|█████▌ | 11/20 [00:10<00:08, 1.04it/s] 60%|██████ | 12/20 [00:11<00:07, 1.04it/s] 65%|██████▌ | 13/20 [00:12<00:06, 1.04it/s] 70%|███████ | 14/20 [00:13<00:05, 1.04it/s] 75%|███████▌ | 15/20 [00:14<00:04, 1.04it/s] 80%|████████ | 16/20 [00:15<00:03, 1.04it/s] 85%|████████▌ | 17/20 [00:16<00:02, 1.04it/s] 90%|█████████ | 18/20 [00:17<00:01, 1.04it/s] 95%|█████████▌| 19/20 [00:18<00:00, 1.04it/s] 100%|██████████| 20/20 [00:19<00:00, 1.05it/s] 100%|██████████| 20/20 [00:19<00:00, 1.04it/s] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 161.3ms Speed: 2.5ms preprocess, 161.3ms inference, 28.1ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.07it/s] 20%|██ | 2/10 [00:00<00:03, 2.49it/s] 30%|███ | 3/10 [00:01<00:02, 2.71it/s] 40%|████ | 4/10 [00:01<00:02, 2.82it/s] 50%|█████ | 5/10 [00:01<00:01, 2.87it/s] 60%|██████ | 6/10 [00:02<00:01, 2.88it/s] 70%|███████ | 7/10 [00:02<00:01, 2.88it/s] 80%|████████ | 8/10 [00:02<00:00, 2.88it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.87it/s] 100%|██████████| 10/10 [00:03<00:00, 2.90it/s] 100%|██████████| 10/10 [00:03<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.85it/s] 20%|██ | 2/10 [00:00<00:02, 2.92it/s] 30%|███ | 3/10 [00:01<00:02, 2.96it/s] 40%|████ | 4/10 [00:01<00:02, 2.95it/s] 50%|█████ | 5/10 [00:01<00:01, 2.95it/s] 60%|██████ | 6/10 [00:02<00:01, 2.97it/s] 70%|███████ | 7/10 [00:02<00:01, 2.96it/s] 80%|████████ | 8/10 [00:02<00:00, 2.94it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.95it/s] 100%|██████████| 10/10 [00:03<00:00, 2.96it/s] 100%|██████████| 10/10 [00:03<00:00, 2.95it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.5ms Speed: 2.4ms preprocess, 8.5ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.84it/s] 20%|██ | 2/10 [00:00<00:02, 2.85it/s] 30%|███ | 3/10 [00:01<00:02, 2.85it/s] 40%|████ | 4/10 [00:01<00:02, 2.85it/s] 50%|█████ | 5/10 [00:01<00:01, 2.87it/s] 60%|██████ | 6/10 [00:02<00:01, 2.90it/s] 70%|███████ | 7/10 [00:02<00:01, 2.89it/s] 80%|████████ | 8/10 [00:02<00:00, 2.92it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.95it/s] 100%|██████████| 10/10 [00:03<00:00, 2.99it/s] 100%|██████████| 10/10 [00:03<00:00, 2.92it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.