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Japanese Temples with Rev Animated
rev-animated:v1.2.2-EOL
evevalentine2017
evevalentine2017
·
Jan 3
382
Input
prompt
Specify things to see in the output
(digital painting),(best quality), serene Japanese garden, cherry blossoms in full bloom, koi pond, footbridge, pagoda, Ukiyo-e art style, Hokusai inspiration, Deviant Art popular, 8k ultra-realistic, pastel color scheme, soft lighting, golden hour, tranquil atmosphere, landscape orientation
negative_prompt
Specify things to not see in the output
3d, cartoon, anime, sketches, (worst quality, bad quality, child, cropped:1.4) ((monochrome)), ((grayscale)), (bad-hands-5:1.0), (badhandv4:1.0), (easynegative:0.8), (bad-artist-anime:0.8), (bad-artist:0.8), (bad_prompt:0.8), (bad-picture-chill-75v:0.8), (bad_prompt_version2:0.8), (bad_quality:0.8)
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
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
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
735323561
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
30
cfg_scale
Scale for classifier-free guidance
8.5
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>
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/242ee94d6c18415c84639598fb6cf5cc/00000-735323561.png
https://files.tungsten.run/uploads/04339f085f4b4cdd86d3aa49e6889db5/00001-735323562.png
https://files.tungsten.run/uploads/223422916cd84148b9098028c0b62a49/00002-735323563.png
https://files.tungsten.run/uploads/b15ba1af85644199ad9a51c9c73ecb4b/00003-735323564.png
Finished in 35.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (digital painting),(best quality), serene Japanese garden, cherry blossoms in full bloom, koi pond, footbridge, pagoda, Ukiyo-e art style, Hokusai inspiration, Deviant Art popular, 8k ultra-realistic, pastel color scheme, soft lighting, golden hour, tranquil atmosphere, landscape orientation, masterpiece, best quality, ultra realistic Full negative prompt: 3d, cartoon, anime, sketches, (worst quality, bad quality, child, cropped:1.4) ((monochrome)), ((grayscale)), (bad-hands-5:1.0), (badhandv4:1.0), (easynegative:0.8), (bad-artist-anime:0.8), (bad-artist:0.8), (bad_prompt:0.8), (bad-picture-chill-75v:0.8), (bad_prompt_version2:0.8), (bad_quality:0.8) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:19, 1.52it/s] 7%|▋ | 2/30 [00:01<00:18, 1.49it/s] 10%|█ | 3/30 [00:02<00:18, 1.48it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.48it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.47it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.46it/s] 27%|██▋ | 8/30 [00:05<00:15, 1.45it/s] 30%|███ | 9/30 [00:06<00:14, 1.45it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.45it/s] 37%|███▋ | 11/30 [00:07<00:13, 1.45it/s] 40%|████ | 12/30 [00:08<00:12, 1.44it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.44it/s] 47%|████▋ | 14/30 [00:09<00:11, 1.44it/s] 50%|█████ | 15/30 [00:10<00:10, 1.43it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.43it/s] 57%|█████▋ | 17/30 [00:11<00:09, 1.43it/s] 60%|██████ | 18/30 [00:12<00:08, 1.43it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.43it/s] 67%|██████▋ | 20/30 [00:13<00:07, 1.43it/s] 70%|███████ | 21/30 [00:14<00:06, 1.43it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.43it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.43it/s] 80%|████████ | 24/30 [00:16<00:04, 1.42it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.42it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.42it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.41it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.41it/s] 97%|█████████▋| 29/30 [00:20<00:00, 1.41it/s] 100%|██████████| 30/30 [00:20<00:00, 1.41it/s] 100%|██████████| 30/30 [00:20<00:00, 1.44it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.2ms Speed: 3.0ms preprocess, 9.2ms inference, 32.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.44it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.78it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.33it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.72it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.93it/s] 35%|███▌ | 6/17 [00:01<00:01, 5.93it/s] 41%|████ | 7/17 [00:01<00:01, 5.92it/s] 47%|████▋ | 8/17 [00:01<00:01, 5.98it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.11it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.22it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.25it/s] 71%|███████ | 12/17 [00:02<00:00, 6.13it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.10it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.14it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.07it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.22it/s] 100%|██████████| 17/17 [00:02<00:00, 6.28it/s] 100%|██████████| 17/17 [00:02<00:00, 5.94it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.9ms Speed: 2.9ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 8.3ms Speed: 2.9ms preprocess, 8.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
(digital painting),(best quality), serene Japanese garden, cherry blossoms in full bloom, koi pond, footbridge, pagoda, Ukiyo-e art style, Hokusai inspiration, Deviant Art popular, 8k ultra-realistic, pastel color scheme, soft lighting, golden hour, tranquil atmosphere, landscape orientation
negative_prompt
Specify things to not see in the output
3d, cartoon, anime, sketches, (worst quality, bad quality, child, cropped:1.4) ((monochrome)), ((grayscale)), (bad-hands-5:1.0), (badhandv4:1.0), (easynegative:0.8), (bad-artist-anime:0.8), (bad-artist:0.8), (bad_prompt:0.8), (bad-picture-chill-75v:0.8), (bad_prompt_version2:0.8), (bad_quality:0.8)
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
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
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
735323561
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
30
cfg_scale
Scale for classifier-free guidance
8.5
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>
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/242ee94d6c18415c84639598fb6cf5cc/00000-735323561.png
https://files.tungsten.run/uploads/04339f085f4b4cdd86d3aa49e6889db5/00001-735323562.png
https://files.tungsten.run/uploads/223422916cd84148b9098028c0b62a49/00002-735323563.png
https://files.tungsten.run/uploads/b15ba1af85644199ad9a51c9c73ecb4b/00003-735323564.png
Finished in 35.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (digital painting),(best quality), serene Japanese garden, cherry blossoms in full bloom, koi pond, footbridge, pagoda, Ukiyo-e art style, Hokusai inspiration, Deviant Art popular, 8k ultra-realistic, pastel color scheme, soft lighting, golden hour, tranquil atmosphere, landscape orientation, masterpiece, best quality, ultra realistic Full negative prompt: 3d, cartoon, anime, sketches, (worst quality, bad quality, child, cropped:1.4) ((monochrome)), ((grayscale)), (bad-hands-5:1.0), (badhandv4:1.0), (easynegative:0.8), (bad-artist-anime:0.8), (bad-artist:0.8), (bad_prompt:0.8), (bad-picture-chill-75v:0.8), (bad_prompt_version2:0.8), (bad_quality:0.8) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:19, 1.52it/s] 7%|▋ | 2/30 [00:01<00:18, 1.49it/s] 10%|█ | 3/30 [00:02<00:18, 1.48it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.48it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.47it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.46it/s] 27%|██▋ | 8/30 [00:05<00:15, 1.45it/s] 30%|███ | 9/30 [00:06<00:14, 1.45it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.45it/s] 37%|███▋ | 11/30 [00:07<00:13, 1.45it/s] 40%|████ | 12/30 [00:08<00:12, 1.44it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.44it/s] 47%|████▋ | 14/30 [00:09<00:11, 1.44it/s] 50%|█████ | 15/30 [00:10<00:10, 1.43it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.43it/s] 57%|█████▋ | 17/30 [00:11<00:09, 1.43it/s] 60%|██████ | 18/30 [00:12<00:08, 1.43it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.43it/s] 67%|██████▋ | 20/30 [00:13<00:07, 1.43it/s] 70%|███████ | 21/30 [00:14<00:06, 1.43it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.43it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.43it/s] 80%|████████ | 24/30 [00:16<00:04, 1.42it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.42it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.42it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.41it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.41it/s] 97%|█████████▋| 29/30 [00:20<00:00, 1.41it/s] 100%|██████████| 30/30 [00:20<00:00, 1.41it/s] 100%|██████████| 30/30 [00:20<00:00, 1.44it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.2ms Speed: 3.0ms preprocess, 9.2ms inference, 32.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.44it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.78it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.33it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.72it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.93it/s] 35%|███▌ | 6/17 [00:01<00:01, 5.93it/s] 41%|████ | 7/17 [00:01<00:01, 5.92it/s] 47%|████▋ | 8/17 [00:01<00:01, 5.98it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.11it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.22it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.25it/s] 71%|███████ | 12/17 [00:02<00:00, 6.13it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.10it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.14it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.07it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.22it/s] 100%|██████████| 17/17 [00:02<00:00, 6.28it/s] 100%|██████████| 17/17 [00:02<00:00, 5.94it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.9ms Speed: 2.9ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 8.3ms Speed: 2.9ms preprocess, 8.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.