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Dryad Watching the Sunset with Realistic Art
realistic-art:v1.0
evevalentine2017
evevalentine2017
·
12/29/2023
361
Input
prompt
Specify things to see in the output
scene from a dream, over the shoulder view, close up view from behind, wire and leaves forming a shape resembling a dryad, a dryad, made of wire and leaves, green skin, plant girl, hilltop overlooking a valley, epic, dramatic, sunset, <lora:epiCRealismHelper:1>, <lora:dryad:1>
negative_prompt
Specify things to not see in the output
mirrored, cloned, duplicate, ugly, deformed, signature, watermark, realisticvision-negative-embedding
num_outputs
Number of output images
4
width
Output image width
768
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
809066869
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 SDE Karras
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
dryad.safetensors
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)
realisticvision-negative-embedding.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/84f7cfc076e646b7ac36cd31798065bf/00000-809066869.webp
https://files.tungsten.run/uploads/32a24e18a11747e0a565fb2687929d1f/00001-809066870.webp
https://files.tungsten.run/uploads/761752d624a44db2a9e21152844a9624/00002-809066871.webp
https://files.tungsten.run/uploads/affc211a675249cba25fc1f8c3de5a55/00003-809066872.webp
Finished in 70.4 seconds
Setting up the model... Processing... Full prompt: scene from a dream, over the shoulder view, close up view from behind, wire and leaves forming a shape resembling a dryad, a dryad, made of wire and leaves, green skin, plant girl, hilltop overlooking a valley, epic, dramatic, sunset, <lora:epiCRealismHelper:1>, <lora:dryad:1> Full negative prompt: mirrored, cloned, duplicate, ugly, deformed, signature, watermark, realisticvision-negative-embedding 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:38, 2.01s/it] 10%|█ | 2/20 [00:03<00:35, 1.95s/it] 15%|█▌ | 3/20 [00:05<00:32, 1.93s/it] 20%|██ | 4/20 [00:07<00:31, 1.94s/it] 25%|██▌ | 5/20 [00:09<00:28, 1.90s/it] 30%|███ | 6/20 [00:11<00:26, 1.90s/it] 35%|███▌ | 7/20 [00:13<00:24, 1.89s/it] 40%|████ | 8/20 [00:15<00:22, 1.84s/it] 45%|████▌ | 9/20 [00:16<00:19, 1.81s/it] 50%|█████ | 10/20 [00:18<00:18, 1.85s/it] 55%|█████▌ | 11/20 [00:20<00:16, 1.88s/it] 60%|██████ | 12/20 [00:22<00:14, 1.81s/it] 65%|██████▌ | 13/20 [00:24<00:12, 1.81s/it] 70%|███████ | 14/20 [00:25<00:10, 1.76s/it] 75%|███████▌ | 15/20 [00:27<00:08, 1.74s/it] 80%|████████ | 16/20 [00:29<00:06, 1.69s/it] 85%|████████▌ | 17/20 [00:30<00:04, 1.65s/it] 90%|█████████ | 18/20 [00:32<00:03, 1.64s/it] 95%|█████████▌| 19/20 [00:33<00:01, 1.44s/it] 100%|██████████| 20/20 [00:33<00:00, 1.20s/it] 100%|██████████| 20/20 [00:33<00:00, 1.69s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.3ms Speed: 3.7ms preprocess, 8.3ms inference, 32.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:06, 1.68it/s] 17%|█▋ | 2/12 [00:01<00:05, 1.89it/s] 25%|██▌ | 3/12 [00:01<00:04, 2.08it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.21it/s] 42%|████▏ | 5/12 [00:02<00:03, 2.22it/s] 50%|█████ | 6/12 [00:02<00:02, 2.28it/s] 58%|█████▊ | 7/12 [00:03<00:02, 2.31it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.41it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.47it/s] 83%|████████▎ | 10/12 [00:04<00:00, 2.50it/s] 92%|█████████▏| 11/12 [00:04<00:00, 2.85it/s] 100%|██████████| 12/12 [00:04<00:00, 3.46it/s] 100%|██████████| 12/12 [00:04<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.1ms Speed: 3.3ms preprocess, 8.1ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.26it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.22it/s] 25%|██▌ | 3/12 [00:01<00:04, 2.25it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.35it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.34it/s] 50%|█████ | 6/12 [00:02<00:02, 2.41it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.43it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.50it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.56it/s] 83%|████████▎ | 10/12 [00:04<00:00, 2.60it/s] 92%|█████████▏| 11/12 [00:04<00:00, 2.70it/s] 100%|██████████| 12/12 [00:04<00:00, 3.31it/s] 100%|██████████| 12/12 [00:04<00:00, 2.63it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 33.3ms Speed: 2.8ms preprocess, 33.3ms inference, 2.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.43it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.24it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.33it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.42it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.34it/s] 50%|█████ | 6/12 [00:02<00:02, 2.40it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.40it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.49it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.56it/s] 83%|████████▎ | 10/12 [00:04<00:00, 2.58it/s] 92%|█████████▏| 11/12 [00:04<00:00, 2.95it/s] 100%|██████████| 12/12 [00:04<00:00, 3.57it/s] 100%|██████████| 12/12 [00:04<00:00, 2.70it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 3.0ms preprocess, 7.9ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.29it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.24it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.33it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.40it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.38it/s] 50%|█████ | 6/12 [00:02<00:02, 2.38it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.41it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.51it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.52it/s] 83%|████████▎ | 10/12 [00:04<00:00, 2.56it/s] 92%|█████████▏| 11/12 [00:04<00:00, 2.93it/s] 100%|██████████| 12/12 [00:04<00:00, 3.54it/s] 100%|██████████| 12/12 [00:04<00:00, 2.69it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
scene from a dream, over the shoulder view, close up view from behind, wire and leaves forming a shape resembling a dryad, a dryad, made of wire and leaves, green skin, plant girl, hilltop overlooking a valley, epic, dramatic, sunset, <lora:epiCRealismHelper:1>, <lora:dryad:1>
negative_prompt
Specify things to not see in the output
mirrored, cloned, duplicate, ugly, deformed, signature, watermark, realisticvision-negative-embedding
num_outputs
Number of output images
4
width
Output image width
768
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
809066869
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 SDE Karras
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
dryad.safetensors
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)
realisticvision-negative-embedding.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/84f7cfc076e646b7ac36cd31798065bf/00000-809066869.webp
https://files.tungsten.run/uploads/32a24e18a11747e0a565fb2687929d1f/00001-809066870.webp
https://files.tungsten.run/uploads/761752d624a44db2a9e21152844a9624/00002-809066871.webp
https://files.tungsten.run/uploads/affc211a675249cba25fc1f8c3de5a55/00003-809066872.webp
Finished in 70.4 seconds
Setting up the model... Processing... Full prompt: scene from a dream, over the shoulder view, close up view from behind, wire and leaves forming a shape resembling a dryad, a dryad, made of wire and leaves, green skin, plant girl, hilltop overlooking a valley, epic, dramatic, sunset, <lora:epiCRealismHelper:1>, <lora:dryad:1> Full negative prompt: mirrored, cloned, duplicate, ugly, deformed, signature, watermark, realisticvision-negative-embedding 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:38, 2.01s/it] 10%|█ | 2/20 [00:03<00:35, 1.95s/it] 15%|█▌ | 3/20 [00:05<00:32, 1.93s/it] 20%|██ | 4/20 [00:07<00:31, 1.94s/it] 25%|██▌ | 5/20 [00:09<00:28, 1.90s/it] 30%|███ | 6/20 [00:11<00:26, 1.90s/it] 35%|███▌ | 7/20 [00:13<00:24, 1.89s/it] 40%|████ | 8/20 [00:15<00:22, 1.84s/it] 45%|████▌ | 9/20 [00:16<00:19, 1.81s/it] 50%|█████ | 10/20 [00:18<00:18, 1.85s/it] 55%|█████▌ | 11/20 [00:20<00:16, 1.88s/it] 60%|██████ | 12/20 [00:22<00:14, 1.81s/it] 65%|██████▌ | 13/20 [00:24<00:12, 1.81s/it] 70%|███████ | 14/20 [00:25<00:10, 1.76s/it] 75%|███████▌ | 15/20 [00:27<00:08, 1.74s/it] 80%|████████ | 16/20 [00:29<00:06, 1.69s/it] 85%|████████▌ | 17/20 [00:30<00:04, 1.65s/it] 90%|█████████ | 18/20 [00:32<00:03, 1.64s/it] 95%|█████████▌| 19/20 [00:33<00:01, 1.44s/it] 100%|██████████| 20/20 [00:33<00:00, 1.20s/it] 100%|██████████| 20/20 [00:33<00:00, 1.69s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.3ms Speed: 3.7ms preprocess, 8.3ms inference, 32.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:06, 1.68it/s] 17%|█▋ | 2/12 [00:01<00:05, 1.89it/s] 25%|██▌ | 3/12 [00:01<00:04, 2.08it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.21it/s] 42%|████▏ | 5/12 [00:02<00:03, 2.22it/s] 50%|█████ | 6/12 [00:02<00:02, 2.28it/s] 58%|█████▊ | 7/12 [00:03<00:02, 2.31it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.41it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.47it/s] 83%|████████▎ | 10/12 [00:04<00:00, 2.50it/s] 92%|█████████▏| 11/12 [00:04<00:00, 2.85it/s] 100%|██████████| 12/12 [00:04<00:00, 3.46it/s] 100%|██████████| 12/12 [00:04<00:00, 2.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.1ms Speed: 3.3ms preprocess, 8.1ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.26it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.22it/s] 25%|██▌ | 3/12 [00:01<00:04, 2.25it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.35it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.34it/s] 50%|█████ | 6/12 [00:02<00:02, 2.41it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.43it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.50it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.56it/s] 83%|████████▎ | 10/12 [00:04<00:00, 2.60it/s] 92%|█████████▏| 11/12 [00:04<00:00, 2.70it/s] 100%|██████████| 12/12 [00:04<00:00, 3.31it/s] 100%|██████████| 12/12 [00:04<00:00, 2.63it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 33.3ms Speed: 2.8ms preprocess, 33.3ms inference, 2.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.43it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.24it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.33it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.42it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.34it/s] 50%|█████ | 6/12 [00:02<00:02, 2.40it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.40it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.49it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.56it/s] 83%|████████▎ | 10/12 [00:04<00:00, 2.58it/s] 92%|█████████▏| 11/12 [00:04<00:00, 2.95it/s] 100%|██████████| 12/12 [00:04<00:00, 3.57it/s] 100%|██████████| 12/12 [00:04<00:00, 2.70it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 3.0ms preprocess, 7.9ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.29it/s] 17%|█▋ | 2/12 [00:00<00:04, 2.24it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.33it/s] 33%|███▎ | 4/12 [00:01<00:03, 2.40it/s] 42%|████▏ | 5/12 [00:02<00:02, 2.38it/s] 50%|█████ | 6/12 [00:02<00:02, 2.38it/s] 58%|█████▊ | 7/12 [00:02<00:02, 2.41it/s] 67%|██████▋ | 8/12 [00:03<00:01, 2.51it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.52it/s] 83%|████████▎ | 10/12 [00:04<00:00, 2.56it/s] 92%|█████████▏| 11/12 [00:04<00:00, 2.93it/s] 100%|██████████| 12/12 [00:04<00:00, 3.54it/s] 100%|██████████| 12/12 [00:04<00:00, 2.69it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.