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Photorealism with Illustration Art XL
illustration-art-xl:v1.0
evevalentine2017
evevalentine2017
·
Mar 10
367
Input
prompt
Specify things to see in the output
Photorealism, extremely realistic photo with a Fujifilm GFX, proud samurai under the rain, meditating, japanese temple background, forest
negative_prompt
Specify things to not see in the output
CyberRealistic_Negative-neg, cartoon, painting
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
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.
1339542331
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++ 2S 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)
CyberRealistic_Negative-neg.pt
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/bf8aef1374324df4a3fa93e5c34fa080/00000-1339542331.webp
https://files.tungsten.run/uploads/0ee2683b469e41dd864773d5f086a886/00001-1339542332.webp
https://files.tungsten.run/uploads/8f01f5a716bc4315af4ad549d31a38fc/00002-1339542333.webp
Finished in 94.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Photorealism, extremely realistic photo with a Fujifilm GFX, proud samurai under the rain, meditating, japanese temple background, forest Full negative prompt: CyberRealistic_Negative-neg, cartoon, painting 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:50, 2.65s/it] 10%|█ | 2/20 [00:05<00:47, 2.66s/it] 15%|█▌ | 3/20 [00:07<00:45, 2.67s/it] 20%|██ | 4/20 [00:10<00:42, 2.67s/it] 25%|██▌ | 5/20 [00:13<00:40, 2.68s/it] 30%|███ | 6/20 [00:16<00:37, 2.69s/it] 35%|███▌ | 7/20 [00:18<00:34, 2.69s/it] 40%|████ | 8/20 [00:21<00:32, 2.70s/it] 45%|████▌ | 9/20 [00:24<00:29, 2.71s/it] 50%|█████ | 10/20 [00:26<00:27, 2.71s/it] 55%|█████▌ | 11/20 [00:29<00:24, 2.72s/it] 60%|██████ | 12/20 [00:32<00:21, 2.73s/it] 65%|██████▌ | 13/20 [00:35<00:19, 2.74s/it] 70%|███████ | 14/20 [00:37<00:16, 2.75s/it] 75%|███████▌ | 15/20 [00:40<00:13, 2.76s/it] 80%|████████ | 16/20 [00:43<00:11, 2.77s/it] 85%|████████▌ | 17/20 [00:46<00:08, 2.78s/it] 90%|█████████ | 18/20 [00:49<00:05, 2.79s/it] 95%|█████████▌| 19/20 [00:51<00:02, 2.80s/it] 100%|██████████| 20/20 [00:53<00:00, 2.37s/it] 100%|██████████| 20/20 [00:53<00:00, 2.67s/it] Decoding latents in cuda:0... done in 2.44s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.8ms Speed: 3.6ms preprocess, 7.8ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:13, 1.50s/it] 20%|██ | 2/10 [00:02<00:10, 1.34s/it] 30%|███ | 3/10 [00:03<00:07, 1.12s/it] 40%|████ | 4/10 [00:04<00:06, 1.01s/it] 50%|█████ | 5/10 [00:05<00:04, 1.05it/s] 60%|██████ | 6/10 [00:06<00:03, 1.10it/s] 70%|███████ | 7/10 [00:06<00:02, 1.13it/s] 80%|████████ | 8/10 [00:07<00:01, 1.15it/s] 90%|█████████ | 9/10 [00:08<00:00, 1.16it/s] 100%|██████████| 10/10 [00:09<00:00, 1.38it/s] 100%|██████████| 10/10 [00:09<00:00, 1.10it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.26it/s] 20%|██ | 2/10 [00:01<00:06, 1.21it/s] 30%|███ | 3/10 [00:02<00:05, 1.20it/s] 40%|████ | 4/10 [00:03<00:05, 1.18it/s] 50%|█████ | 5/10 [00:04<00:04, 1.19it/s] 60%|██████ | 6/10 [00:05<00:03, 1.19it/s] 70%|███████ | 7/10 [00:05<00:02, 1.20it/s] 80%|████████ | 8/10 [00:06<00:01, 1.20it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.20it/s] 100%|██████████| 10/10 [00:07<00:00, 1.43it/s] 100%|██████████| 10/10 [00:07<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.3ms Speed: 19.8ms preprocess, 9.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.27it/s] 20%|██ | 2/10 [00:01<00:06, 1.22it/s] 30%|███ | 3/10 [00:02<00:05, 1.20it/s] 40%|████ | 4/10 [00:03<00:04, 1.20it/s] 50%|█████ | 5/10 [00:04<00:04, 1.20it/s] 60%|██████ | 6/10 [00:05<00:03, 1.19it/s] 70%|███████ | 7/10 [00:05<00:02, 1.19it/s] 80%|████████ | 8/10 [00:06<00:01, 1.19it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.19it/s] 100%|██████████| 10/10 [00:07<00:00, 1.42it/s] 100%|██████████| 10/10 [00:07<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Photorealism, extremely realistic photo with a Fujifilm GFX, proud samurai under the rain, meditating, japanese temple background, forest
negative_prompt
Specify things to not see in the output
CyberRealistic_Negative-neg, cartoon, painting
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
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.
1339542331
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++ 2S 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)
CyberRealistic_Negative-neg.pt
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/bf8aef1374324df4a3fa93e5c34fa080/00000-1339542331.webp
https://files.tungsten.run/uploads/0ee2683b469e41dd864773d5f086a886/00001-1339542332.webp
https://files.tungsten.run/uploads/8f01f5a716bc4315af4ad549d31a38fc/00002-1339542333.webp
Finished in 94.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Photorealism, extremely realistic photo with a Fujifilm GFX, proud samurai under the rain, meditating, japanese temple background, forest Full negative prompt: CyberRealistic_Negative-neg, cartoon, painting 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:50, 2.65s/it] 10%|█ | 2/20 [00:05<00:47, 2.66s/it] 15%|█▌ | 3/20 [00:07<00:45, 2.67s/it] 20%|██ | 4/20 [00:10<00:42, 2.67s/it] 25%|██▌ | 5/20 [00:13<00:40, 2.68s/it] 30%|███ | 6/20 [00:16<00:37, 2.69s/it] 35%|███▌ | 7/20 [00:18<00:34, 2.69s/it] 40%|████ | 8/20 [00:21<00:32, 2.70s/it] 45%|████▌ | 9/20 [00:24<00:29, 2.71s/it] 50%|█████ | 10/20 [00:26<00:27, 2.71s/it] 55%|█████▌ | 11/20 [00:29<00:24, 2.72s/it] 60%|██████ | 12/20 [00:32<00:21, 2.73s/it] 65%|██████▌ | 13/20 [00:35<00:19, 2.74s/it] 70%|███████ | 14/20 [00:37<00:16, 2.75s/it] 75%|███████▌ | 15/20 [00:40<00:13, 2.76s/it] 80%|████████ | 16/20 [00:43<00:11, 2.77s/it] 85%|████████▌ | 17/20 [00:46<00:08, 2.78s/it] 90%|█████████ | 18/20 [00:49<00:05, 2.79s/it] 95%|█████████▌| 19/20 [00:51<00:02, 2.80s/it] 100%|██████████| 20/20 [00:53<00:00, 2.37s/it] 100%|██████████| 20/20 [00:53<00:00, 2.67s/it] Decoding latents in cuda:0... done in 2.44s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.8ms Speed: 3.6ms preprocess, 7.8ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:13, 1.50s/it] 20%|██ | 2/10 [00:02<00:10, 1.34s/it] 30%|███ | 3/10 [00:03<00:07, 1.12s/it] 40%|████ | 4/10 [00:04<00:06, 1.01s/it] 50%|█████ | 5/10 [00:05<00:04, 1.05it/s] 60%|██████ | 6/10 [00:06<00:03, 1.10it/s] 70%|███████ | 7/10 [00:06<00:02, 1.13it/s] 80%|████████ | 8/10 [00:07<00:01, 1.15it/s] 90%|█████████ | 9/10 [00:08<00:00, 1.16it/s] 100%|██████████| 10/10 [00:09<00:00, 1.38it/s] 100%|██████████| 10/10 [00:09<00:00, 1.10it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.26it/s] 20%|██ | 2/10 [00:01<00:06, 1.21it/s] 30%|███ | 3/10 [00:02<00:05, 1.20it/s] 40%|████ | 4/10 [00:03<00:05, 1.18it/s] 50%|█████ | 5/10 [00:04<00:04, 1.19it/s] 60%|██████ | 6/10 [00:05<00:03, 1.19it/s] 70%|███████ | 7/10 [00:05<00:02, 1.20it/s] 80%|████████ | 8/10 [00:06<00:01, 1.20it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.20it/s] 100%|██████████| 10/10 [00:07<00:00, 1.43it/s] 100%|██████████| 10/10 [00:07<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.3ms Speed: 19.8ms preprocess, 9.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.27it/s] 20%|██ | 2/10 [00:01<00:06, 1.22it/s] 30%|███ | 3/10 [00:02<00:05, 1.20it/s] 40%|████ | 4/10 [00:03<00:04, 1.20it/s] 50%|█████ | 5/10 [00:04<00:04, 1.20it/s] 60%|██████ | 6/10 [00:05<00:03, 1.19it/s] 70%|███████ | 7/10 [00:05<00:02, 1.19it/s] 80%|████████ | 8/10 [00:06<00:01, 1.19it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.19it/s] 100%|██████████| 10/10 [00:07<00:00, 1.42it/s] 100%|██████████| 10/10 [00:07<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s Uploading outputs... Finished.