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Girl by the Balcony with Illustration Art XL
illustration-art-xl:v1.0
evevalentine2017
evevalentine2017
·
Mar 10
356
Input
prompt
Specify things to see in the output
portrait of a beautiful woman, white skin, dark long hair, highly detailed, standing on the balcony with glass of whine, in the background you can see the palace, the day, flying particles, WLOP illustration style,
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
DPM++ 2M Karras
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/45f65de93d2a4727b78c0517f08a188e/00000-3051593204.webp
https://files.tungsten.run/uploads/347736f18f824672872eb4af7f5e7c3f/00001-3051593205.webp
https://files.tungsten.run/uploads/55291654743c4a87a542984f66388d16/00002-3051593206.webp
Finished in 39.2 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: portrait of a beautiful woman, white skin, dark long hair, highly detailed, standing on the balcony with glass of whine, in the background you can see the palace, the day, flying particles, WLOP illustration style, Full negative prompt: 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:40, 2.14s/it] 10%|█ | 2/20 [00:03<00:26, 1.46s/it] 15%|█▌ | 3/20 [00:04<00:21, 1.24s/it] 20%|██ | 4/20 [00:05<00:18, 1.13s/it] 25%|██▌ | 5/20 [00:06<00:16, 1.07s/it] 30%|███ | 6/20 [00:07<00:14, 1.04s/it] 35%|███▌ | 7/20 [00:07<00:13, 1.02s/it] 40%|████ | 8/20 [00:08<00:12, 1.00s/it] 45%|████▌ | 9/20 [00:09<00:10, 1.01it/s] 50%|█████ | 10/20 [00:10<00:09, 1.01it/s] 55%|█████▌ | 11/20 [00:11<00:08, 1.01it/s] 60%|██████ | 12/20 [00:12<00:07, 1.02it/s] 65%|██████▌ | 13/20 [00:13<00:06, 1.02it/s] 70%|███████ | 14/20 [00:14<00:05, 1.02it/s] 75%|███████▌ | 15/20 [00:15<00:04, 1.02it/s] 80%|████████ | 16/20 [00:16<00:03, 1.02it/s] 85%|████████▌ | 17/20 [00:17<00:02, 1.02it/s] 90%|█████████ | 18/20 [00:18<00:01, 1.02it/s] 95%|█████████▌| 19/20 [00:19<00:00, 1.02it/s] 100%|██████████| 20/20 [00:20<00:00, 1.02it/s] 100%|██████████| 20/20 [00:20<00:00, 1.04s/it] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.01s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.10it/s] 20%|██ | 2/10 [00:00<00:03, 2.53it/s] 30%|███ | 3/10 [00:01<00:02, 2.69it/s] 40%|████ | 4/10 [00:01<00:02, 2.80it/s] 50%|█████ | 5/10 [00:01<00:01, 2.86it/s] 60%|██████ | 6/10 [00:02<00:01, 2.88it/s] 70%|███████ | 7/10 [00:02<00:01, 2.91it/s] 80%|████████ | 8/10 [00:02<00:00, 2.93it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.94it/s] 100%|██████████| 10/10 [00:03<00:00, 2.93it/s] 100%|██████████| 10/10 [00:03<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.84it/s] 20%|██ | 2/10 [00:00<00:02, 2.92it/s] 30%|███ | 3/10 [00:01<00:02, 2.91it/s] 40%|████ | 4/10 [00:01<00:02, 2.88it/s] 50%|█████ | 5/10 [00:01<00:01, 2.90it/s] 60%|██████ | 6/10 [00:02<00:01, 2.90it/s] 70%|███████ | 7/10 [00:02<00:01, 2.90it/s] 80%|████████ | 8/10 [00:02<00:00, 2.88it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.90it/s] 100%|██████████| 10/10 [00:03<00:00, 2.91it/s] 100%|██████████| 10/10 [00:03<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.72it/s] 20%|██ | 2/10 [00:00<00:02, 2.88it/s] 30%|███ | 3/10 [00:01<00:02, 2.91it/s] 40%|████ | 4/10 [00:01<00:02, 2.94it/s] 50%|█████ | 5/10 [00:01<00:01, 2.92it/s] 60%|██████ | 6/10 [00:02<00:01, 2.92it/s] 70%|███████ | 7/10 [00:02<00:01, 2.94it/s] 80%|████████ | 8/10 [00:02<00:00, 2.96it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.96it/s] 100%|██████████| 10/10 [00:03<00:00, 2.94it/s] 100%|██████████| 10/10 [00:03<00:00, 2.93it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
portrait of a beautiful woman, white skin, dark long hair, highly detailed, standing on the balcony with glass of whine, in the background you can see the palace, the day, flying particles, WLOP illustration style,
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
DPM++ 2M Karras
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/45f65de93d2a4727b78c0517f08a188e/00000-3051593204.webp
https://files.tungsten.run/uploads/347736f18f824672872eb4af7f5e7c3f/00001-3051593205.webp
https://files.tungsten.run/uploads/55291654743c4a87a542984f66388d16/00002-3051593206.webp
Finished in 39.2 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: portrait of a beautiful woman, white skin, dark long hair, highly detailed, standing on the balcony with glass of whine, in the background you can see the palace, the day, flying particles, WLOP illustration style, Full negative prompt: 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:40, 2.14s/it] 10%|█ | 2/20 [00:03<00:26, 1.46s/it] 15%|█▌ | 3/20 [00:04<00:21, 1.24s/it] 20%|██ | 4/20 [00:05<00:18, 1.13s/it] 25%|██▌ | 5/20 [00:06<00:16, 1.07s/it] 30%|███ | 6/20 [00:07<00:14, 1.04s/it] 35%|███▌ | 7/20 [00:07<00:13, 1.02s/it] 40%|████ | 8/20 [00:08<00:12, 1.00s/it] 45%|████▌ | 9/20 [00:09<00:10, 1.01it/s] 50%|█████ | 10/20 [00:10<00:09, 1.01it/s] 55%|█████▌ | 11/20 [00:11<00:08, 1.01it/s] 60%|██████ | 12/20 [00:12<00:07, 1.02it/s] 65%|██████▌ | 13/20 [00:13<00:06, 1.02it/s] 70%|███████ | 14/20 [00:14<00:05, 1.02it/s] 75%|███████▌ | 15/20 [00:15<00:04, 1.02it/s] 80%|████████ | 16/20 [00:16<00:03, 1.02it/s] 85%|████████▌ | 17/20 [00:17<00:02, 1.02it/s] 90%|█████████ | 18/20 [00:18<00:01, 1.02it/s] 95%|█████████▌| 19/20 [00:19<00:00, 1.02it/s] 100%|██████████| 20/20 [00:20<00:00, 1.02it/s] 100%|██████████| 20/20 [00:20<00:00, 1.04s/it] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.01s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.10it/s] 20%|██ | 2/10 [00:00<00:03, 2.53it/s] 30%|███ | 3/10 [00:01<00:02, 2.69it/s] 40%|████ | 4/10 [00:01<00:02, 2.80it/s] 50%|█████ | 5/10 [00:01<00:01, 2.86it/s] 60%|██████ | 6/10 [00:02<00:01, 2.88it/s] 70%|███████ | 7/10 [00:02<00:01, 2.91it/s] 80%|████████ | 8/10 [00:02<00:00, 2.93it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.94it/s] 100%|██████████| 10/10 [00:03<00:00, 2.93it/s] 100%|██████████| 10/10 [00:03<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.84it/s] 20%|██ | 2/10 [00:00<00:02, 2.92it/s] 30%|███ | 3/10 [00:01<00:02, 2.91it/s] 40%|████ | 4/10 [00:01<00:02, 2.88it/s] 50%|█████ | 5/10 [00:01<00:01, 2.90it/s] 60%|██████ | 6/10 [00:02<00:01, 2.90it/s] 70%|███████ | 7/10 [00:02<00:01, 2.90it/s] 80%|████████ | 8/10 [00:02<00:00, 2.88it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.90it/s] 100%|██████████| 10/10 [00:03<00:00, 2.91it/s] 100%|██████████| 10/10 [00:03<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.72it/s] 20%|██ | 2/10 [00:00<00:02, 2.88it/s] 30%|███ | 3/10 [00:01<00:02, 2.91it/s] 40%|████ | 4/10 [00:01<00:02, 2.94it/s] 50%|█████ | 5/10 [00:01<00:01, 2.92it/s] 60%|██████ | 6/10 [00:02<00:01, 2.92it/s] 70%|███████ | 7/10 [00:02<00:01, 2.94it/s] 80%|████████ | 8/10 [00:02<00:00, 2.96it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.96it/s] 100%|██████████| 10/10 [00:03<00:00, 2.94it/s] 100%|██████████| 10/10 [00:03<00:00, 2.93it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s Uploading outputs... Finished.