Japanese Zen Garden with LoveXL
·
Feb 12
357
Input
prompt
Specify things to see in the output
The Japanese Zen garden was a tranquil oasis, its raked gravel and meticulously placed rocks evoking a sense of harmony.
negative_prompt
Specify things to not see in the output
, , ,
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
-1
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++ 3M SDE
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
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/fee0262ea0f5440e87cae143d94b76a1/00000-980867660.webp
https://files.tungsten.run/uploads/ab830a9c9a8e4d34b7395a6f1d26d1b6/00001-980867661.webp
https://files.tungsten.run/uploads/bbe88967021d42ef9ee2c4e21597336b/00002-980867662.webp
Finished in 138.9 seconds
Preparing inputs... Processing... Using seed 980867660 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: The Japanese Zen garden was a tranquil oasis, its raked gravel and meticulously placed rocks evoking a sense of harmony., <lora:add-detail-xl:1.0> Full negative prompt: , , , 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:36, 2.48s/it] 5%|▌ | 2/40 [00:05<01:44, 2.74s/it] 8%|▊ | 3/40 [00:08<01:47, 2.91s/it] 10%|█ | 4/40 [00:12<01:53, 3.14s/it] 12%|█▎ | 5/40 [00:15<01:53, 3.25s/it] 15%|█▌ | 6/40 [00:18<01:49, 3.22s/it] 18%|█▊ | 7/40 [00:21<01:43, 3.14s/it] 20%|██ | 8/40 [00:24<01:40, 3.14s/it] 22%|██▎ | 9/40 [00:27<01:36, 3.11s/it] 25%|██▌ | 10/40 [00:31<01:34, 3.15s/it] 28%|██▊ | 11/40 [00:34<01:31, 3.17s/it] 30%|███ | 12/40 [00:37<01:30, 3.22s/it] 32%|███▎ | 13/40 [00:40<01:26, 3.20s/it] 35%|███▌ | 14/40 [00:44<01:24, 3.25s/it] 38%|███▊ | 15/40 [00:47<01:19, 3.18s/it] 40%|████ | 16/40 [00:50<01:16, 3.19s/it] 42%|████▎ | 17/40 [00:53<01:12, 3.17s/it] 45%|████▌ | 18/40 [00:56<01:10, 3.20s/it] 48%|████▊ | 19/40 [00:59<01:05, 3.14s/it] 50%|█████ | 20/40 [01:02<01:02, 3.13s/it] 52%|█████▎ | 21/40 [01:05<00:59, 3.13s/it] 55%|█████▌ | 22/40 [01:08<00:55, 3.08s/it] 57%|█████▊ | 23/40 [01:11<00:52, 3.09s/it] 60%|██████ | 24/40 [01:15<00:49, 3.07s/it] 62%|██████▎ | 25/40 [01:17<00:45, 3.03s/it] 65%|██████▌ | 26/40 [01:20<00:41, 2.99s/it] 68%|██████▊ | 27/40 [01:23<00:37, 2.90s/it] 70%|███████ | 28/40 [01:26<00:35, 2.97s/it] 72%|███████▎ | 29/40 [01:29<00:32, 2.95s/it] 75%|███████▌ | 30/40 [01:32<00:29, 2.94s/it] 78%|███████▊ | 31/40 [01:35<00:25, 2.84s/it] 80%|████████ | 32/40 [01:38<00:22, 2.86s/it] 82%|████████▎ | 33/40 [01:40<00:20, 2.89s/it] 85%|████████▌ | 34/40 [01:44<00:17, 2.98s/it] 88%|████████▊ | 35/40 [01:46<00:14, 2.93s/it] 90%|█████████ | 36/40 [01:50<00:11, 2.97s/it] 92%|█████████▎| 37/40 [01:52<00:08, 2.96s/it] 95%|█████████▌| 38/40 [01:56<00:06, 3.03s/it] 98%|█████████▊| 39/40 [01:58<00:02, 2.75s/it] 100%|██████████| 40/40 [01:59<00:00, 2.40s/it] 100%|██████████| 40/40 [01:59<00:00, 3.00s/it] Decoding latents in cuda:0... done in 2.85s Move latents to cpu... done in 0.03s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 1 with 2nd settings. [-] ADetailer: nothing detected on image 2 with 1st settings. 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:11, 1.01it/s] 15%|█▌ | 2/13 [00:01<00:10, 1.06it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.08it/s] 31%|███ | 4/13 [00:03<00:07, 1.13it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.10it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.09it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.04it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.07it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.07it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.08it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.06it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.17it/s] 100%|██████████| 13/13 [00:11<00:00, 1.35it/s] 100%|██████████| 13/13 [00:11<00:00, 1.14it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 3 with 1st settings. [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
The Japanese Zen garden was a tranquil oasis, its raked gravel and meticulously placed rocks evoking a sense of harmony.
negative_prompt
Specify things to not see in the output
, , ,
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
-1
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++ 3M SDE
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
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/fee0262ea0f5440e87cae143d94b76a1/00000-980867660.webp
https://files.tungsten.run/uploads/ab830a9c9a8e4d34b7395a6f1d26d1b6/00001-980867661.webp
https://files.tungsten.run/uploads/bbe88967021d42ef9ee2c4e21597336b/00002-980867662.webp
Finished in 138.9 seconds
Preparing inputs... Processing... Using seed 980867660 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: The Japanese Zen garden was a tranquil oasis, its raked gravel and meticulously placed rocks evoking a sense of harmony., <lora:add-detail-xl:1.0> Full negative prompt: , , , 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:36, 2.48s/it] 5%|▌ | 2/40 [00:05<01:44, 2.74s/it] 8%|▊ | 3/40 [00:08<01:47, 2.91s/it] 10%|█ | 4/40 [00:12<01:53, 3.14s/it] 12%|█▎ | 5/40 [00:15<01:53, 3.25s/it] 15%|█▌ | 6/40 [00:18<01:49, 3.22s/it] 18%|█▊ | 7/40 [00:21<01:43, 3.14s/it] 20%|██ | 8/40 [00:24<01:40, 3.14s/it] 22%|██▎ | 9/40 [00:27<01:36, 3.11s/it] 25%|██▌ | 10/40 [00:31<01:34, 3.15s/it] 28%|██▊ | 11/40 [00:34<01:31, 3.17s/it] 30%|███ | 12/40 [00:37<01:30, 3.22s/it] 32%|███▎ | 13/40 [00:40<01:26, 3.20s/it] 35%|███▌ | 14/40 [00:44<01:24, 3.25s/it] 38%|███▊ | 15/40 [00:47<01:19, 3.18s/it] 40%|████ | 16/40 [00:50<01:16, 3.19s/it] 42%|████▎ | 17/40 [00:53<01:12, 3.17s/it] 45%|████▌ | 18/40 [00:56<01:10, 3.20s/it] 48%|████▊ | 19/40 [00:59<01:05, 3.14s/it] 50%|█████ | 20/40 [01:02<01:02, 3.13s/it] 52%|█████▎ | 21/40 [01:05<00:59, 3.13s/it] 55%|█████▌ | 22/40 [01:08<00:55, 3.08s/it] 57%|█████▊ | 23/40 [01:11<00:52, 3.09s/it] 60%|██████ | 24/40 [01:15<00:49, 3.07s/it] 62%|██████▎ | 25/40 [01:17<00:45, 3.03s/it] 65%|██████▌ | 26/40 [01:20<00:41, 2.99s/it] 68%|██████▊ | 27/40 [01:23<00:37, 2.90s/it] 70%|███████ | 28/40 [01:26<00:35, 2.97s/it] 72%|███████▎ | 29/40 [01:29<00:32, 2.95s/it] 75%|███████▌ | 30/40 [01:32<00:29, 2.94s/it] 78%|███████▊ | 31/40 [01:35<00:25, 2.84s/it] 80%|████████ | 32/40 [01:38<00:22, 2.86s/it] 82%|████████▎ | 33/40 [01:40<00:20, 2.89s/it] 85%|████████▌ | 34/40 [01:44<00:17, 2.98s/it] 88%|████████▊ | 35/40 [01:46<00:14, 2.93s/it] 90%|█████████ | 36/40 [01:50<00:11, 2.97s/it] 92%|█████████▎| 37/40 [01:52<00:08, 2.96s/it] 95%|█████████▌| 38/40 [01:56<00:06, 3.03s/it] 98%|█████████▊| 39/40 [01:58<00:02, 2.75s/it] 100%|██████████| 40/40 [01:59<00:00, 2.40s/it] 100%|██████████| 40/40 [01:59<00:00, 3.00s/it] Decoding latents in cuda:0... done in 2.85s Move latents to cpu... done in 0.03s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 1 with 2nd settings. [-] ADetailer: nothing detected on image 2 with 1st settings. 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:11, 1.01it/s] 15%|█▌ | 2/13 [00:01<00:10, 1.06it/s] 23%|██▎ | 3/13 [00:02<00:09, 1.08it/s] 31%|███ | 4/13 [00:03<00:07, 1.13it/s] 38%|███▊ | 5/13 [00:04<00:07, 1.10it/s] 46%|████▌ | 6/13 [00:05<00:06, 1.09it/s] 54%|█████▍ | 7/13 [00:06<00:05, 1.04it/s] 62%|██████▏ | 8/13 [00:07<00:04, 1.07it/s] 69%|██████▉ | 9/13 [00:08<00:03, 1.07it/s] 77%|███████▋ | 10/13 [00:09<00:02, 1.08it/s] 85%|████████▍ | 11/13 [00:10<00:01, 1.06it/s] 92%|█████████▏| 12/13 [00:10<00:00, 1.17it/s] 100%|██████████| 13/13 [00:11<00:00, 1.35it/s] 100%|██████████| 13/13 [00:11<00:00, 1.14it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 3 with 1st settings. [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.