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Snowy Churches with Hexrun
hexrun:v6.0
evevalentine2017
evevalentine2017
·
Jan 17
377
Input
prompt
Specify things to see in the output
Masterpiece, ultra realistic, (high quality 8k UHD DSLR), (photorealistic:1.4), Church in Matera, snow on the roofs of the Cathedral, in Sassi di Matera ((Top quality, 8k, masterpiece: 1.4)), clouds, snow falling, close view, ((no humans:1.5)), [true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity], <lora:model-lora-matera-sassi-12:1>
negative_prompt
Specify things to not see in the output
((humans:2)), more than 2 legs, more than 2 shoes, [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale]
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
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2951764892
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
31
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>
model-lora-matera-sassi-12.safetensors
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/f647367074094a9a9b02d9c227758683/00000-2951764892.webp
https://files.tungsten.run/uploads/6cb18512af8942c5a93df9f8d7003097/00001-2951764893.webp
https://files.tungsten.run/uploads/f065a3bb4d5544c4a2f6c1618f3d9c38/00002-2951764894.webp
https://files.tungsten.run/uploads/ab3c6f9be25b42ba8997cc972eecf3a3/00003-2951764895.webp
Finished in 61.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Masterpiece, ultra realistic, (high quality 8k UHD DSLR), (photorealistic:1.4), Church in Matera, snow on the roofs of the Cathedral, in Sassi di Matera ((Top quality, 8k, masterpiece: 1.4)), clouds, snow falling, close view, ((no humans:1.5)), [true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity], <lora:model-lora-matera-sassi-12:1> Full negative prompt: ((humans:2)), more than 2 legs, more than 2 shoes, [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale] 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:01<00:52, 1.76s/it] 6%|▋ | 2/31 [00:03<00:52, 1.81s/it] 10%|▉ | 3/31 [00:05<00:54, 1.94s/it] 13%|█▎ | 4/31 [00:07<00:51, 1.90s/it] 16%|█▌ | 5/31 [00:09<00:50, 1.94s/it] 19%|█▉ | 6/31 [00:11<00:47, 1.91s/it] 23%|██▎ | 7/31 [00:13<00:45, 1.90s/it] 26%|██▌ | 8/31 [00:14<00:42, 1.83s/it] 29%|██▉ | 9/31 [00:16<00:39, 1.79s/it] 32%|███▏ | 10/31 [00:18<00:38, 1.82s/it] 35%|███▌ | 11/31 [00:20<00:35, 1.79s/it] 39%|███▊ | 12/31 [00:22<00:34, 1.79s/it] 42%|████▏ | 13/31 [00:23<00:32, 1.79s/it] 45%|████▌ | 14/31 [00:25<00:31, 1.83s/it] 48%|████▊ | 15/31 [00:27<00:28, 1.81s/it] 52%|█████▏ | 16/31 [00:29<00:26, 1.75s/it] 55%|█████▍ | 17/31 [00:30<00:24, 1.75s/it] 58%|█████▊ | 18/31 [00:32<00:22, 1.70s/it] 61%|██████▏ | 19/31 [00:34<00:20, 1.71s/it] 65%|██████▍ | 20/31 [00:35<00:18, 1.69s/it] 68%|██████▊ | 21/31 [00:37<00:16, 1.64s/it] 71%|███████ | 22/31 [00:38<00:14, 1.60s/it] 74%|███████▍ | 23/31 [00:40<00:13, 1.64s/it] 77%|███████▋ | 24/31 [00:42<00:11, 1.62s/it] 81%|████████ | 25/31 [00:43<00:09, 1.64s/it] 84%|████████▍ | 26/31 [00:45<00:08, 1.61s/it] 87%|████████▋ | 27/31 [00:46<00:06, 1.54s/it] 90%|█████████ | 28/31 [00:48<00:04, 1.45s/it] 94%|█████████▎| 29/31 [00:49<00:02, 1.44s/it] 97%|█████████▋| 30/31 [00:50<00:01, 1.27s/it] 100%|██████████| 31/31 [00:50<00:00, 1.07s/it] 100%|██████████| 31/31 [00:50<00:00, 1.64s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.8ms preprocess, 7.0ms 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), 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.8ms Speed: 2.8ms preprocess, 7.8ms 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), 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 0.7ms 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
Masterpiece, ultra realistic, (high quality 8k UHD DSLR), (photorealistic:1.4), Church in Matera, snow on the roofs of the Cathedral, in Sassi di Matera ((Top quality, 8k, masterpiece: 1.4)), clouds, snow falling, close view, ((no humans:1.5)), [true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity], <lora:model-lora-matera-sassi-12:1>
negative_prompt
Specify things to not see in the output
((humans:2)), more than 2 legs, more than 2 shoes, [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale]
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
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2951764892
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
31
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>
model-lora-matera-sassi-12.safetensors
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/f647367074094a9a9b02d9c227758683/00000-2951764892.webp
https://files.tungsten.run/uploads/6cb18512af8942c5a93df9f8d7003097/00001-2951764893.webp
https://files.tungsten.run/uploads/f065a3bb4d5544c4a2f6c1618f3d9c38/00002-2951764894.webp
https://files.tungsten.run/uploads/ab3c6f9be25b42ba8997cc972eecf3a3/00003-2951764895.webp
Finished in 61.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Masterpiece, ultra realistic, (high quality 8k UHD DSLR), (photorealistic:1.4), Church in Matera, snow on the roofs of the Cathedral, in Sassi di Matera ((Top quality, 8k, masterpiece: 1.4)), clouds, snow falling, close view, ((no humans:1.5)), [true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity], <lora:model-lora-matera-sassi-12:1> Full negative prompt: ((humans:2)), more than 2 legs, more than 2 shoes, [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale] 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:01<00:52, 1.76s/it] 6%|▋ | 2/31 [00:03<00:52, 1.81s/it] 10%|▉ | 3/31 [00:05<00:54, 1.94s/it] 13%|█▎ | 4/31 [00:07<00:51, 1.90s/it] 16%|█▌ | 5/31 [00:09<00:50, 1.94s/it] 19%|█▉ | 6/31 [00:11<00:47, 1.91s/it] 23%|██▎ | 7/31 [00:13<00:45, 1.90s/it] 26%|██▌ | 8/31 [00:14<00:42, 1.83s/it] 29%|██▉ | 9/31 [00:16<00:39, 1.79s/it] 32%|███▏ | 10/31 [00:18<00:38, 1.82s/it] 35%|███▌ | 11/31 [00:20<00:35, 1.79s/it] 39%|███▊ | 12/31 [00:22<00:34, 1.79s/it] 42%|████▏ | 13/31 [00:23<00:32, 1.79s/it] 45%|████▌ | 14/31 [00:25<00:31, 1.83s/it] 48%|████▊ | 15/31 [00:27<00:28, 1.81s/it] 52%|█████▏ | 16/31 [00:29<00:26, 1.75s/it] 55%|█████▍ | 17/31 [00:30<00:24, 1.75s/it] 58%|█████▊ | 18/31 [00:32<00:22, 1.70s/it] 61%|██████▏ | 19/31 [00:34<00:20, 1.71s/it] 65%|██████▍ | 20/31 [00:35<00:18, 1.69s/it] 68%|██████▊ | 21/31 [00:37<00:16, 1.64s/it] 71%|███████ | 22/31 [00:38<00:14, 1.60s/it] 74%|███████▍ | 23/31 [00:40<00:13, 1.64s/it] 77%|███████▋ | 24/31 [00:42<00:11, 1.62s/it] 81%|████████ | 25/31 [00:43<00:09, 1.64s/it] 84%|████████▍ | 26/31 [00:45<00:08, 1.61s/it] 87%|████████▋ | 27/31 [00:46<00:06, 1.54s/it] 90%|█████████ | 28/31 [00:48<00:04, 1.45s/it] 94%|█████████▎| 29/31 [00:49<00:02, 1.44s/it] 97%|█████████▋| 30/31 [00:50<00:01, 1.27s/it] 100%|██████████| 31/31 [00:50<00:00, 1.07s/it] 100%|██████████| 31/31 [00:50<00:00, 1.64s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.8ms preprocess, 7.0ms 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), 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.8ms Speed: 2.8ms preprocess, 7.8ms 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), 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.