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landscape-bing:v1.0
evevalentine2017
evevalentine2017
·
Jan 16
349
Input
prompt
Specify things to see in the output
(masterpiece:1.2), (best quality), (ultra detailed), (8k, 4k, intricate),(highly detailed:1.2), (detailed background),detailed landscape,<lora:more_details:0.5>, <lora:neostyle:0.7>, ((neostyle)), indoors, pillow, window, bed, night, chair, table, bottle, scenery, couch, science fiction, city, lamp, cityscape, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000
num_outputs
Number of output images
4
width
Output image width
1024
height
Output image height
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0.3
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3437863337
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
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
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
neostyle.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-image-v2-39000.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/c9070a04ed864294809b32fb2903f8af/00000-3437863337.webp
https://files.tungsten.run/uploads/17a51d5035d942c59663834b28f766e7/00001-3437863338.webp
https://files.tungsten.run/uploads/1b7d8169101b494280d5dac01c60b7c2/00002-3437863339.webp
https://files.tungsten.run/uploads/df970502eaba47d9be00e859fadebccf/00003-3437863340.webp
Finished in 87.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: (masterpiece:1.2), (best quality), (ultra detailed), (8k, 4k, intricate),(highly detailed:1.2), (detailed background),detailed landscape,<lora:more_details:0.5>, <lora:neostyle:0.7>, ((neostyle)), indoors, pillow, window, bed, night, chair, table, bottle, scenery, couch, science fiction, city, lamp, cityscape, <lora:epiCRealismHelper:1>, <lora:add_saturation:0.3> Full negative prompt: bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:05, 2.26s/it] 7%|▋ | 2/30 [00:04<01:03, 2.28s/it] 10%|█ | 3/30 [00:06<01:02, 2.31s/it] 13%|█▎ | 4/30 [00:09<01:01, 2.36s/it] 17%|█▋ | 5/30 [00:11<01:01, 2.45s/it] 20%|██ | 6/30 [00:14<00:59, 2.47s/it] 23%|██▎ | 7/30 [00:16<00:55, 2.43s/it] 27%|██▋ | 8/30 [00:19<00:52, 2.41s/it] 30%|███ | 9/30 [00:21<00:51, 2.43s/it] 33%|███▎ | 10/30 [00:24<00:48, 2.44s/it] 37%|███▋ | 11/30 [00:26<00:46, 2.43s/it] 40%|████ | 12/30 [00:28<00:43, 2.39s/it] 43%|████▎ | 13/30 [00:31<00:40, 2.39s/it] 47%|████▋ | 14/30 [00:33<00:36, 2.29s/it] 50%|█████ | 15/30 [00:35<00:33, 2.26s/it] 53%|█████▎ | 16/30 [00:37<00:30, 2.20s/it] 57%|█████▋ | 17/30 [00:39<00:28, 2.19s/it] 60%|██████ | 18/30 [00:41<00:26, 2.21s/it] 63%|██████▎ | 19/30 [00:44<00:24, 2.19s/it] 67%|██████▋ | 20/30 [00:46<00:22, 2.23s/it] 70%|███████ | 21/30 [00:48<00:19, 2.20s/it] 73%|███████▎ | 22/30 [00:50<00:17, 2.22s/it] 77%|███████▋ | 23/30 [00:52<00:14, 2.12s/it] 80%|████████ | 24/30 [00:54<00:12, 2.06s/it] 83%|████████▎ | 25/30 [00:56<00:10, 2.07s/it] 87%|████████▋ | 26/30 [00:58<00:08, 2.12s/it] 90%|█████████ | 27/30 [01:01<00:06, 2.12s/it] 93%|█████████▎| 28/30 [01:03<00:04, 2.11s/it] 97%|█████████▋| 29/30 [01:04<00:01, 1.87s/it] 100%|██████████| 30/30 [01:05<00:00, 1.60s/it] 100%|██████████| 30/30 [01:05<00:00, 2.18s/it] Decoding latents in cuda:0... done in 1.33s Move latents to cpu... done in 0.03s 0: 480x640 (no detections), 164.9ms Speed: 2.5ms preprocess, 164.9ms inference, 1.0ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 102.0ms Speed: 2.3ms preprocess, 102.0ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 480x640 (no detections), 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 1 face, 8.5ms Speed: 2.7ms preprocess, 8.5ms inference, 3.1ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.46it/s] 14%|█▍ | 2/14 [00:01<00:07, 1.68it/s] 21%|██▏ | 3/14 [00:01<00:06, 1.78it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.78it/s] 36%|███▌ | 5/14 [00:02<00:05, 1.76it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.78it/s] 50%|█████ | 7/14 [00:03<00:03, 1.90it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.98it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.97it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.93it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.93it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.93it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.20it/s] 100%|██████████| 14/14 [00:06<00:00, 2.62it/s] 100%|██████████| 14/14 [00:06<00:00, 2.01it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 9.8ms Speed: 3.2ms preprocess, 9.8ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 480x640 (no detections), 10.0ms Speed: 2.7ms preprocess, 10.0ms inference, 0.9ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 480x640 (no detections), 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterpiece:1.2), (best quality), (ultra detailed), (8k, 4k, intricate),(highly detailed:1.2), (detailed background),detailed landscape,<lora:more_details:0.5>, <lora:neostyle:0.7>, ((neostyle)), indoors, pillow, window, bed, night, chair, table, bottle, scenery, couch, science fiction, city, lamp, cityscape, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000
num_outputs
Number of output images
4
width
Output image width
1024
height
Output image height
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0.3
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3437863337
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
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
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
neostyle.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-image-v2-39000.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/c9070a04ed864294809b32fb2903f8af/00000-3437863337.webp
https://files.tungsten.run/uploads/17a51d5035d942c59663834b28f766e7/00001-3437863338.webp
https://files.tungsten.run/uploads/1b7d8169101b494280d5dac01c60b7c2/00002-3437863339.webp
https://files.tungsten.run/uploads/df970502eaba47d9be00e859fadebccf/00003-3437863340.webp
Finished in 87.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: (masterpiece:1.2), (best quality), (ultra detailed), (8k, 4k, intricate),(highly detailed:1.2), (detailed background),detailed landscape,<lora:more_details:0.5>, <lora:neostyle:0.7>, ((neostyle)), indoors, pillow, window, bed, night, chair, table, bottle, scenery, couch, science fiction, city, lamp, cityscape, <lora:epiCRealismHelper:1>, <lora:add_saturation:0.3> Full negative prompt: bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:05, 2.26s/it] 7%|▋ | 2/30 [00:04<01:03, 2.28s/it] 10%|█ | 3/30 [00:06<01:02, 2.31s/it] 13%|█▎ | 4/30 [00:09<01:01, 2.36s/it] 17%|█▋ | 5/30 [00:11<01:01, 2.45s/it] 20%|██ | 6/30 [00:14<00:59, 2.47s/it] 23%|██▎ | 7/30 [00:16<00:55, 2.43s/it] 27%|██▋ | 8/30 [00:19<00:52, 2.41s/it] 30%|███ | 9/30 [00:21<00:51, 2.43s/it] 33%|███▎ | 10/30 [00:24<00:48, 2.44s/it] 37%|███▋ | 11/30 [00:26<00:46, 2.43s/it] 40%|████ | 12/30 [00:28<00:43, 2.39s/it] 43%|████▎ | 13/30 [00:31<00:40, 2.39s/it] 47%|████▋ | 14/30 [00:33<00:36, 2.29s/it] 50%|█████ | 15/30 [00:35<00:33, 2.26s/it] 53%|█████▎ | 16/30 [00:37<00:30, 2.20s/it] 57%|█████▋ | 17/30 [00:39<00:28, 2.19s/it] 60%|██████ | 18/30 [00:41<00:26, 2.21s/it] 63%|██████▎ | 19/30 [00:44<00:24, 2.19s/it] 67%|██████▋ | 20/30 [00:46<00:22, 2.23s/it] 70%|███████ | 21/30 [00:48<00:19, 2.20s/it] 73%|███████▎ | 22/30 [00:50<00:17, 2.22s/it] 77%|███████▋ | 23/30 [00:52<00:14, 2.12s/it] 80%|████████ | 24/30 [00:54<00:12, 2.06s/it] 83%|████████▎ | 25/30 [00:56<00:10, 2.07s/it] 87%|████████▋ | 26/30 [00:58<00:08, 2.12s/it] 90%|█████████ | 27/30 [01:01<00:06, 2.12s/it] 93%|█████████▎| 28/30 [01:03<00:04, 2.11s/it] 97%|█████████▋| 29/30 [01:04<00:01, 1.87s/it] 100%|██████████| 30/30 [01:05<00:00, 1.60s/it] 100%|██████████| 30/30 [01:05<00:00, 2.18s/it] Decoding latents in cuda:0... done in 1.33s Move latents to cpu... done in 0.03s 0: 480x640 (no detections), 164.9ms Speed: 2.5ms preprocess, 164.9ms inference, 1.0ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 102.0ms Speed: 2.3ms preprocess, 102.0ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 480x640 (no detections), 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 1 face, 8.5ms Speed: 2.7ms preprocess, 8.5ms inference, 3.1ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.46it/s] 14%|█▍ | 2/14 [00:01<00:07, 1.68it/s] 21%|██▏ | 3/14 [00:01<00:06, 1.78it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.78it/s] 36%|███▌ | 5/14 [00:02<00:05, 1.76it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.78it/s] 50%|█████ | 7/14 [00:03<00:03, 1.90it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.98it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.97it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.93it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.93it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.93it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.20it/s] 100%|██████████| 14/14 [00:06<00:00, 2.62it/s] 100%|██████████| 14/14 [00:06<00:00, 2.01it/s] Decoding latents in cuda:0... done in 0.32s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 9.8ms Speed: 3.2ms preprocess, 9.8ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 480x640 (no detections), 10.0ms Speed: 2.7ms preprocess, 10.0ms inference, 0.9ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 480x640 (no detections), 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.