Sakura Tree with Cyber Realistic XL
Input
prompt
Specify things to see in the output
photographic, photo, photorealistic, extremely high quality and high detail, RAW color photo of 1 giant sakura tree, detailed flowers, in the middle of a busy street, light particles, atmosphere, intricate, clouds, raytracing, smooth, colorful, detailed complex busy background, night, beautiful, scenery, detail love, by lee jeffries, nikon d850, film stock photograph, 4 kodak portra 400, camera f1.6 lens, rich colors, hyper realistic, lifelike texture, dramatic lighting, cinestill 800,
negative_prompt
Specify things to not see in the output
kimono, woman, desaturated, (worst quality, low quality, normal quality, lowres, low details, grayscale, bw), blur, blurry
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.
115008898
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++ SDE Karras
samping_steps
Number of denoising steps
35
cfg_scale
Scale for classifier-free guidance
7
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/1ae3775a284148d7819c43995c9cd357/00000-115008898.webp
https://files.tungsten.run/uploads/dc75eba6669a4811b543500ad928d20f/00001-115008899.webp
https://files.tungsten.run/uploads/12ba234fd3dd4fef99837ebf8de00a0e/00002-115008900.webp
Finished in 185.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: photographic, photo, photorealistic, extremely high quality and high detail, RAW color photo of 1 giant sakura tree, detailed flowers, in the middle of a busy street, light particles, atmosphere, intricate, clouds, raytracing, smooth, colorful, detailed complex busy background, night, beautiful, scenery, detail love, by lee jeffries, nikon d850, film stock photograph, 4 kodak portra 400, camera f1.6 lens, rich colors, hyper realistic, lifelike texture, dramatic lighting, cinestill 800, Full negative prompt: kimono, woman, desaturated, (worst quality, low quality, normal quality, lowres, low details, grayscale, bw), blur, blurry 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:31, 2.70s/it] 6%|▌ | 2/35 [00:06<01:49, 3.31s/it] 9%|▊ | 3/35 [00:10<01:58, 3.70s/it] 11%|█▏ | 4/35 [00:14<01:58, 3.83s/it] 14%|█▍ | 5/35 [00:18<01:57, 3.91s/it] 17%|█▋ | 6/35 [00:22<01:55, 3.97s/it] 20%|██ | 7/35 [00:26<01:48, 3.89s/it] 23%|██▎ | 8/35 [00:30<01:43, 3.84s/it] 26%|██▌ | 9/35 [00:34<01:40, 3.87s/it] 29%|██▊ | 10/35 [00:38<01:37, 3.90s/it] 31%|███▏ | 11/35 [00:42<01:33, 3.90s/it] 34%|███▍ | 12/35 [00:45<01:28, 3.87s/it] 37%|███▋ | 13/35 [00:49<01:26, 3.91s/it] 40%|████ | 14/35 [00:52<01:15, 3.61s/it] 43%|████▎ | 15/35 [00:56<01:10, 3.55s/it] 46%|████▌ | 16/35 [00:59<01:08, 3.59s/it] 49%|████▊ | 17/35 [01:03<01:05, 3.67s/it] 51%|█████▏ | 18/35 [01:07<01:02, 3.70s/it] 54%|█████▍ | 19/35 [01:10<00:57, 3.62s/it] 57%|█████▋ | 20/35 [01:14<00:53, 3.55s/it] 60%|██████ | 21/35 [01:17<00:49, 3.56s/it] 63%|██████▎ | 22/35 [01:20<00:44, 3.41s/it] 66%|██████▌ | 23/35 [01:24<00:41, 3.49s/it] 69%|██████▊ | 24/35 [01:27<00:37, 3.45s/it] 71%|███████▏ | 25/35 [01:31<00:34, 3.48s/it] 74%|███████▍ | 26/35 [01:35<00:31, 3.53s/it] 77%|███████▋ | 27/35 [01:38<00:27, 3.39s/it] 80%|████████ | 28/35 [01:41<00:23, 3.39s/it] 83%|████████▎ | 29/35 [01:44<00:20, 3.38s/it] 86%|████████▌ | 30/35 [01:48<00:17, 3.42s/it] 89%|████████▊ | 31/35 [01:51<00:12, 3.21s/it] 91%|█████████▏| 32/35 [01:53<00:09, 3.06s/it] 94%|█████████▍| 33/35 [01:56<00:05, 2.85s/it] 97%|█████████▋| 34/35 [01:58<00:02, 2.67s/it] 100%|██████████| 35/35 [01:59<00:00, 2.13s/it] 100%|██████████| 35/35 [01:59<00:00, 3.41s/it] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 161.0ms Speed: 2.6ms preprocess, 161.0ms inference, 21.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:29, 1.98s/it] 12%|█▎ | 2/16 [00:03<00:26, 1.89s/it] 19%|█▉ | 3/16 [00:05<00:22, 1.75s/it] 25%|██▌ | 4/16 [00:07<00:20, 1.71s/it] 31%|███▏ | 5/16 [00:08<00:19, 1.75s/it] 38%|███▊ | 6/16 [00:10<00:17, 1.79s/it] 44%|████▍ | 7/16 [00:12<00:16, 1.84s/it] 50%|█████ | 8/16 [00:14<00:14, 1.81s/it] 56%|█████▋ | 9/16 [00:16<00:12, 1.83s/it] 62%|██████▎ | 10/16 [00:18<00:10, 1.83s/it] 69%|██████▉ | 11/16 [00:19<00:09, 1.82s/it] 75%|███████▌ | 12/16 [00:21<00:07, 1.75s/it] 81%|████████▏ | 13/16 [00:23<00:05, 1.71s/it] 88%|████████▊ | 14/16 [00:24<00:03, 1.63s/it] 94%|█████████▍| 15/16 [00:26<00:01, 1.57s/it] 100%|██████████| 16/16 [00:26<00:00, 1.28s/it] 100%|██████████| 16/16 [00:26<00:00, 1.66s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:27, 1.82s/it] 12%|█▎ | 2/16 [00:03<00:26, 1.89s/it] 19%|█▉ | 3/16 [00:05<00:23, 1.80s/it] 25%|██▌ | 4/16 [00:07<00:21, 1.75s/it] 31%|███▏ | 5/16 [00:08<00:19, 1.78s/it] 38%|███▊ | 6/16 [00:10<00:18, 1.83s/it] 44%|████▍ | 7/16 [00:12<00:16, 1.86s/it] 50%|█████ | 8/16 [00:14<00:14, 1.82s/it] 56%|█████▋ | 9/16 [00:16<00:12, 1.82s/it] 62%|██████▎ | 10/16 [00:18<00:10, 1.81s/it] 69%|██████▉ | 11/16 [00:19<00:09, 1.81s/it] 75%|███████▌ | 12/16 [00:21<00:06, 1.73s/it] 81%|████████▏ | 13/16 [00:23<00:05, 1.67s/it] 88%|████████▊ | 14/16 [00:24<00:03, 1.59s/it] 94%|█████████▍| 15/16 [00:25<00:01, 1.53s/it] 100%|██████████| 16/16 [00:26<00:00, 1.25s/it] 100%|██████████| 16/16 [00:26<00:00, 1.65s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 8.2ms Speed: 2.6ms preprocess, 8.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
photographic, photo, photorealistic, extremely high quality and high detail, RAW color photo of 1 giant sakura tree, detailed flowers, in the middle of a busy street, light particles, atmosphere, intricate, clouds, raytracing, smooth, colorful, detailed complex busy background, night, beautiful, scenery, detail love, by lee jeffries, nikon d850, film stock photograph, 4 kodak portra 400, camera f1.6 lens, rich colors, hyper realistic, lifelike texture, dramatic lighting, cinestill 800,
negative_prompt
Specify things to not see in the output
kimono, woman, desaturated, (worst quality, low quality, normal quality, lowres, low details, grayscale, bw), blur, blurry
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.
115008898
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++ SDE Karras
samping_steps
Number of denoising steps
35
cfg_scale
Scale for classifier-free guidance
7
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/1ae3775a284148d7819c43995c9cd357/00000-115008898.webp
https://files.tungsten.run/uploads/dc75eba6669a4811b543500ad928d20f/00001-115008899.webp
https://files.tungsten.run/uploads/12ba234fd3dd4fef99837ebf8de00a0e/00002-115008900.webp
Finished in 185.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: photographic, photo, photorealistic, extremely high quality and high detail, RAW color photo of 1 giant sakura tree, detailed flowers, in the middle of a busy street, light particles, atmosphere, intricate, clouds, raytracing, smooth, colorful, detailed complex busy background, night, beautiful, scenery, detail love, by lee jeffries, nikon d850, film stock photograph, 4 kodak portra 400, camera f1.6 lens, rich colors, hyper realistic, lifelike texture, dramatic lighting, cinestill 800, Full negative prompt: kimono, woman, desaturated, (worst quality, low quality, normal quality, lowres, low details, grayscale, bw), blur, blurry 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:31, 2.70s/it] 6%|▌ | 2/35 [00:06<01:49, 3.31s/it] 9%|▊ | 3/35 [00:10<01:58, 3.70s/it] 11%|█▏ | 4/35 [00:14<01:58, 3.83s/it] 14%|█▍ | 5/35 [00:18<01:57, 3.91s/it] 17%|█▋ | 6/35 [00:22<01:55, 3.97s/it] 20%|██ | 7/35 [00:26<01:48, 3.89s/it] 23%|██▎ | 8/35 [00:30<01:43, 3.84s/it] 26%|██▌ | 9/35 [00:34<01:40, 3.87s/it] 29%|██▊ | 10/35 [00:38<01:37, 3.90s/it] 31%|███▏ | 11/35 [00:42<01:33, 3.90s/it] 34%|███▍ | 12/35 [00:45<01:28, 3.87s/it] 37%|███▋ | 13/35 [00:49<01:26, 3.91s/it] 40%|████ | 14/35 [00:52<01:15, 3.61s/it] 43%|████▎ | 15/35 [00:56<01:10, 3.55s/it] 46%|████▌ | 16/35 [00:59<01:08, 3.59s/it] 49%|████▊ | 17/35 [01:03<01:05, 3.67s/it] 51%|█████▏ | 18/35 [01:07<01:02, 3.70s/it] 54%|█████▍ | 19/35 [01:10<00:57, 3.62s/it] 57%|█████▋ | 20/35 [01:14<00:53, 3.55s/it] 60%|██████ | 21/35 [01:17<00:49, 3.56s/it] 63%|██████▎ | 22/35 [01:20<00:44, 3.41s/it] 66%|██████▌ | 23/35 [01:24<00:41, 3.49s/it] 69%|██████▊ | 24/35 [01:27<00:37, 3.45s/it] 71%|███████▏ | 25/35 [01:31<00:34, 3.48s/it] 74%|███████▍ | 26/35 [01:35<00:31, 3.53s/it] 77%|███████▋ | 27/35 [01:38<00:27, 3.39s/it] 80%|████████ | 28/35 [01:41<00:23, 3.39s/it] 83%|████████▎ | 29/35 [01:44<00:20, 3.38s/it] 86%|████████▌ | 30/35 [01:48<00:17, 3.42s/it] 89%|████████▊ | 31/35 [01:51<00:12, 3.21s/it] 91%|█████████▏| 32/35 [01:53<00:09, 3.06s/it] 94%|█████████▍| 33/35 [01:56<00:05, 2.85s/it] 97%|█████████▋| 34/35 [01:58<00:02, 2.67s/it] 100%|██████████| 35/35 [01:59<00:00, 2.13s/it] 100%|██████████| 35/35 [01:59<00:00, 3.41s/it] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 161.0ms Speed: 2.6ms preprocess, 161.0ms inference, 21.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:29, 1.98s/it] 12%|█▎ | 2/16 [00:03<00:26, 1.89s/it] 19%|█▉ | 3/16 [00:05<00:22, 1.75s/it] 25%|██▌ | 4/16 [00:07<00:20, 1.71s/it] 31%|███▏ | 5/16 [00:08<00:19, 1.75s/it] 38%|███▊ | 6/16 [00:10<00:17, 1.79s/it] 44%|████▍ | 7/16 [00:12<00:16, 1.84s/it] 50%|█████ | 8/16 [00:14<00:14, 1.81s/it] 56%|█████▋ | 9/16 [00:16<00:12, 1.83s/it] 62%|██████▎ | 10/16 [00:18<00:10, 1.83s/it] 69%|██████▉ | 11/16 [00:19<00:09, 1.82s/it] 75%|███████▌ | 12/16 [00:21<00:07, 1.75s/it] 81%|████████▏ | 13/16 [00:23<00:05, 1.71s/it] 88%|████████▊ | 14/16 [00:24<00:03, 1.63s/it] 94%|█████████▍| 15/16 [00:26<00:01, 1.57s/it] 100%|██████████| 16/16 [00:26<00:00, 1.28s/it] 100%|██████████| 16/16 [00:26<00:00, 1.66s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:01<00:27, 1.82s/it] 12%|█▎ | 2/16 [00:03<00:26, 1.89s/it] 19%|█▉ | 3/16 [00:05<00:23, 1.80s/it] 25%|██▌ | 4/16 [00:07<00:21, 1.75s/it] 31%|███▏ | 5/16 [00:08<00:19, 1.78s/it] 38%|███▊ | 6/16 [00:10<00:18, 1.83s/it] 44%|████▍ | 7/16 [00:12<00:16, 1.86s/it] 50%|█████ | 8/16 [00:14<00:14, 1.82s/it] 56%|█████▋ | 9/16 [00:16<00:12, 1.82s/it] 62%|██████▎ | 10/16 [00:18<00:10, 1.81s/it] 69%|██████▉ | 11/16 [00:19<00:09, 1.81s/it] 75%|███████▌ | 12/16 [00:21<00:06, 1.73s/it] 81%|████████▏ | 13/16 [00:23<00:05, 1.67s/it] 88%|████████▊ | 14/16 [00:24<00:03, 1.59s/it] 94%|█████████▍| 15/16 [00:25<00:01, 1.53s/it] 100%|██████████| 16/16 [00:26<00:00, 1.25s/it] 100%|██████████| 16/16 [00:26<00:00, 1.65s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 8.2ms Speed: 2.6ms preprocess, 8.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.