Snowy Landscapes with Picx Real
Input
prompt
Specify things to see in the output
Winter scene of a cozy mountain cabin, covered in fresh snowfall, with a curling chimney smoke, a frozen lake in the foreground, a family building a snowman, mid-action, under a soft overcast sky, with natural diffused lighting, shot from a low angle, using a Canon EOS R5 with a 35mm lens, in the style of Ansel Adams, <lora:more_details:0.7>, <lora:color_slider_v10:1.5>
negative_prompt
Specify things to not see in the output
((portrait:2)), ((sneakers)), ((feet)), ((focus on face:2)), (focus on ass), nsfw, nipples, breasts, (CyberRealistic_Negative-neg:0.8), (headgear:1.2), mature, curvy, big tits, panties, shorts, painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, ugly, large breasts, out of focus, blur, blurry, low details, normal quality, bad quality, low quality, Wart , Rash , Boil , Cyst , worms, ugly, disgusting, unrealistic, watermark, logo, cartoon, anime, manga, illustration, painting, 3d, bad anatomy, worst quality, low quality, low resolution, extra fingers, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, ng_deepnegative_v1_75t, realisticvision-negative-embedding
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
0.5
contrast
Adjust contrast
-1.36
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1300457987
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 Exponential
samping_steps
Number of denoising steps
25
cfg_scale
Scale for classifier-free guidance
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>
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/4db8775faaa14a349f8b22dbf1ca9a8e/00000-1300457987.webp
https://files.tungsten.run/uploads/e1a56bb5054e4d0b80201b1756891570/00001-1300457988.webp
https://files.tungsten.run/uploads/2dc6d27c0d2c4d13ade40aee8fdc1312/00002-1300457989.webp
https://files.tungsten.run/uploads/ea198f31591d4dd79ae3184e5b98274f/00003-1300457990.webp
Finished in 52.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Winter scene of a cozy mountain cabin, covered in fresh snowfall, with a curling chimney smoke, a frozen lake in the foreground, a family building a snowman, mid-action, under a soft overcast sky, with natural diffused lighting, shot from a low angle, using a Canon EOS R5 with a 35mm lens, in the style of Ansel Adams, <lora:more_details:0.7>, <lora:color_slider_v10:1.5>, <lora:add_brightness:0.5>, <lora:contrast_slider_v10:-1.36> Full negative prompt: ((portrait:2)), ((sneakers)), ((feet)), ((focus on face:2)), (focus on ass), nsfw, nipples, breasts, (CyberRealistic_Negative-neg:0.8), (headgear:1.2), mature, curvy, big tits, panties, shorts, painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, ugly, large breasts, out of focus, blur, blurry, low details, normal quality, bad quality, low quality, Wart , Rash , Boil , Cyst , worms, ugly, disgusting, unrealistic, watermark, logo, cartoon, anime, manga, illustration, painting, 3d, bad anatomy, worst quality, low quality, low resolution, extra fingers, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, ng_deepnegative_v1_75t, realisticvision-negative-embedding 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:02<00:48, 2.03s/it] 8%|▊ | 2/25 [00:03<00:45, 1.97s/it] 12%|█▏ | 3/25 [00:05<00:42, 1.94s/it] 16%|█▌ | 4/25 [00:07<00:40, 1.93s/it] 20%|██ | 5/25 [00:09<00:37, 1.86s/it] 24%|██▍ | 6/25 [00:11<00:36, 1.91s/it] 28%|██▊ | 7/25 [00:13<00:32, 1.81s/it] 32%|███▏ | 8/25 [00:14<00:29, 1.74s/it] 36%|███▌ | 9/25 [00:16<00:28, 1.77s/it] 40%|████ | 10/25 [00:18<00:26, 1.75s/it] 44%|████▍ | 11/25 [00:19<00:23, 1.69s/it] 48%|████▊ | 12/25 [00:21<00:22, 1.70s/it] 52%|█████▏ | 13/25 [00:23<00:20, 1.68s/it] 56%|█████▌ | 14/25 [00:25<00:18, 1.73s/it] 60%|██████ | 15/25 [00:26<00:16, 1.67s/it] 64%|██████▍ | 16/25 [00:27<00:14, 1.60s/it] 68%|██████▊ | 17/25 [00:29<00:12, 1.62s/it] 72%|███████▏ | 18/25 [00:31<00:11, 1.58s/it] 76%|███████▌ | 19/25 [00:32<00:09, 1.62s/it] 80%|████████ | 20/25 [00:34<00:07, 1.57s/it] 84%|████████▍ | 21/25 [00:35<00:06, 1.58s/it] 88%|████████▊ | 22/25 [00:37<00:04, 1.57s/it] 92%|█████████▏| 23/25 [00:38<00:02, 1.49s/it] 96%|█████████▌| 24/25 [00:39<00:01, 1.25s/it] 100%|██████████| 25/25 [00:40<00:00, 1.07s/it] 100%|██████████| 25/25 [00:40<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms 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), 8.4ms Speed: 2.8ms preprocess, 8.4ms inference, 0.9ms 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: 2.7ms 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), 6.7ms Speed: 2.5ms preprocess, 6.7ms 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), 8.5ms Speed: 2.6ms preprocess, 8.5ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms 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), 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms 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
Winter scene of a cozy mountain cabin, covered in fresh snowfall, with a curling chimney smoke, a frozen lake in the foreground, a family building a snowman, mid-action, under a soft overcast sky, with natural diffused lighting, shot from a low angle, using a Canon EOS R5 with a 35mm lens, in the style of Ansel Adams, <lora:more_details:0.7>, <lora:color_slider_v10:1.5>
negative_prompt
Specify things to not see in the output
((portrait:2)), ((sneakers)), ((feet)), ((focus on face:2)), (focus on ass), nsfw, nipples, breasts, (CyberRealistic_Negative-neg:0.8), (headgear:1.2), mature, curvy, big tits, panties, shorts, painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, ugly, large breasts, out of focus, blur, blurry, low details, normal quality, bad quality, low quality, Wart , Rash , Boil , Cyst , worms, ugly, disgusting, unrealistic, watermark, logo, cartoon, anime, manga, illustration, painting, 3d, bad anatomy, worst quality, low quality, low resolution, extra fingers, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, ng_deepnegative_v1_75t, realisticvision-negative-embedding
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
0.5
contrast
Adjust contrast
-1.36
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1300457987
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 Exponential
samping_steps
Number of denoising steps
25
cfg_scale
Scale for classifier-free guidance
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>
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/4db8775faaa14a349f8b22dbf1ca9a8e/00000-1300457987.webp
https://files.tungsten.run/uploads/e1a56bb5054e4d0b80201b1756891570/00001-1300457988.webp
https://files.tungsten.run/uploads/2dc6d27c0d2c4d13ade40aee8fdc1312/00002-1300457989.webp
https://files.tungsten.run/uploads/ea198f31591d4dd79ae3184e5b98274f/00003-1300457990.webp
Finished in 52.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Winter scene of a cozy mountain cabin, covered in fresh snowfall, with a curling chimney smoke, a frozen lake in the foreground, a family building a snowman, mid-action, under a soft overcast sky, with natural diffused lighting, shot from a low angle, using a Canon EOS R5 with a 35mm lens, in the style of Ansel Adams, <lora:more_details:0.7>, <lora:color_slider_v10:1.5>, <lora:add_brightness:0.5>, <lora:contrast_slider_v10:-1.36> Full negative prompt: ((portrait:2)), ((sneakers)), ((feet)), ((focus on face:2)), (focus on ass), nsfw, nipples, breasts, (CyberRealistic_Negative-neg:0.8), (headgear:1.2), mature, curvy, big tits, panties, shorts, painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, ugly, large breasts, out of focus, blur, blurry, low details, normal quality, bad quality, low quality, Wart , Rash , Boil , Cyst , worms, ugly, disgusting, unrealistic, watermark, logo, cartoon, anime, manga, illustration, painting, 3d, bad anatomy, worst quality, low quality, low resolution, extra fingers, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, ng_deepnegative_v1_75t, realisticvision-negative-embedding 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:02<00:48, 2.03s/it] 8%|▊ | 2/25 [00:03<00:45, 1.97s/it] 12%|█▏ | 3/25 [00:05<00:42, 1.94s/it] 16%|█▌ | 4/25 [00:07<00:40, 1.93s/it] 20%|██ | 5/25 [00:09<00:37, 1.86s/it] 24%|██▍ | 6/25 [00:11<00:36, 1.91s/it] 28%|██▊ | 7/25 [00:13<00:32, 1.81s/it] 32%|███▏ | 8/25 [00:14<00:29, 1.74s/it] 36%|███▌ | 9/25 [00:16<00:28, 1.77s/it] 40%|████ | 10/25 [00:18<00:26, 1.75s/it] 44%|████▍ | 11/25 [00:19<00:23, 1.69s/it] 48%|████▊ | 12/25 [00:21<00:22, 1.70s/it] 52%|█████▏ | 13/25 [00:23<00:20, 1.68s/it] 56%|█████▌ | 14/25 [00:25<00:18, 1.73s/it] 60%|██████ | 15/25 [00:26<00:16, 1.67s/it] 64%|██████▍ | 16/25 [00:27<00:14, 1.60s/it] 68%|██████▊ | 17/25 [00:29<00:12, 1.62s/it] 72%|███████▏ | 18/25 [00:31<00:11, 1.58s/it] 76%|███████▌ | 19/25 [00:32<00:09, 1.62s/it] 80%|████████ | 20/25 [00:34<00:07, 1.57s/it] 84%|████████▍ | 21/25 [00:35<00:06, 1.58s/it] 88%|████████▊ | 22/25 [00:37<00:04, 1.57s/it] 92%|█████████▏| 23/25 [00:38<00:02, 1.49s/it] 96%|█████████▌| 24/25 [00:39<00:01, 1.25s/it] 100%|██████████| 25/25 [00:40<00:00, 1.07s/it] 100%|██████████| 25/25 [00:40<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms 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), 8.4ms Speed: 2.8ms preprocess, 8.4ms inference, 0.9ms 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: 2.7ms 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), 6.7ms Speed: 2.5ms preprocess, 6.7ms 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), 8.5ms Speed: 2.6ms preprocess, 8.5ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms 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), 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 0.7ms 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.