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Mountain Cottages with Animesh
animesh:v2.1
evevalentine2017
evevalentine2017
·
Jan 10
365
Input
prompt
Specify things to see in the output
((masterpiece:1.4,best quality)), cloud, outdoors, (mountains), spring glade, scenery, sky, winter, village, tree, pond, fishing hut, high detail, abundant, 8k, high detail, wallpaper,
negative_prompt
Specify things to not see in the output
((portrait)), ((focus on face)), ((more than 2 arms:2)), ((more than 2 legs:2)), ((nsfw:2)), ((nipples:2)), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark))
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
0.3
contrast
Adjust contrast
-0.6
saturation
Adjust saturation
0.6
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
779632157
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
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
ClearVAE_V2.3_fp16.pt
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
kolin-nvwls-v1.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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
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/3d2562f7e14846688efacbeeabca4a7b/00000-779632157.webp
https://files.tungsten.run/uploads/b1f3c652dc70494f9a9855d9794593d1/00001-779632158.webp
https://files.tungsten.run/uploads/7cde1f01355341e98dfff5060bfc51e9/00002-779632159.webp
https://files.tungsten.run/uploads/1061cbf827bf468184ab4c9f353b7356/00003-779632160.webp
Finished in 93.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: ((masterpiece:1.4,best quality)), cloud, outdoors, (mountains), spring glade, scenery, sky, winter, village, tree, pond, fishing hut, high detail, abundant, 8k, high detail, wallpaper,, <lora:add_brightness:0.3>, <lora:contrast_slider_v10:-0.6>, <lora:add_saturation:0.6> Full negative prompt: ((portrait)), ((focus on face)), ((more than 2 arms:2)), ((more than 2 legs:2)), ((nsfw:2)), ((nipples:2)), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)) 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:34, 1.92s/it] 4%|▍ | 2/50 [00:03<01:28, 1.85s/it] 6%|▌ | 3/50 [00:05<01:21, 1.73s/it] 8%|▊ | 4/50 [00:07<01:20, 1.74s/it] 10%|█ | 5/50 [00:08<01:18, 1.74s/it] 12%|█▏ | 6/50 [00:10<01:16, 1.74s/it] 14%|█▍ | 7/50 [00:12<01:14, 1.73s/it] 16%|█▌ | 8/50 [00:14<01:15, 1.79s/it] 18%|█▊ | 9/50 [00:16<01:14, 1.81s/it] 20%|██ | 10/50 [00:17<01:11, 1.79s/it] 22%|██▏ | 11/50 [00:19<01:10, 1.80s/it] 24%|██▍ | 12/50 [00:21<01:07, 1.78s/it] 26%|██▌ | 13/50 [00:23<01:07, 1.81s/it] 28%|██▊ | 14/50 [00:24<01:03, 1.78s/it] 30%|███ | 15/50 [00:26<01:02, 1.77s/it] 32%|███▏ | 16/50 [00:28<00:59, 1.76s/it] 34%|███▍ | 17/50 [00:30<00:57, 1.75s/it] 36%|███▌ | 18/50 [00:32<00:57, 1.79s/it] 38%|███▊ | 19/50 [00:33<00:53, 1.73s/it] 40%|████ | 20/50 [00:35<00:52, 1.76s/it] 42%|████▏ | 21/50 [00:37<00:50, 1.75s/it] 44%|████▍ | 22/50 [00:38<00:48, 1.74s/it] 46%|████▌ | 23/50 [00:40<00:45, 1.70s/it] 48%|████▊ | 24/50 [00:42<00:44, 1.73s/it] 50%|█████ | 25/50 [00:43<00:41, 1.67s/it] 52%|█████▏ | 26/50 [00:45<00:39, 1.67s/it] 54%|█████▍ | 27/50 [00:47<00:39, 1.74s/it] 56%|█████▌ | 28/50 [00:49<00:39, 1.80s/it] 58%|█████▊ | 29/50 [00:50<00:36, 1.76s/it] 60%|██████ | 30/50 [00:52<00:35, 1.80s/it] 62%|██████▏ | 31/50 [00:54<00:32, 1.70s/it] 64%|██████▍ | 32/50 [00:55<00:29, 1.64s/it] 66%|██████▌ | 33/50 [00:57<00:28, 1.65s/it] 68%|██████▊ | 34/50 [00:59<00:25, 1.61s/it] 70%|███████ | 35/50 [01:00<00:24, 1.61s/it] 72%|███████▏ | 36/50 [01:01<00:21, 1.52s/it] 74%|███████▍ | 37/50 [01:03<00:19, 1.47s/it] 76%|███████▌ | 38/50 [01:04<00:17, 1.45s/it] 78%|███████▊ | 39/50 [01:06<00:16, 1.51s/it] 80%|████████ | 40/50 [01:07<00:14, 1.50s/it] 82%|████████▏ | 41/50 [01:09<00:14, 1.57s/it] 84%|████████▍ | 42/50 [01:11<00:12, 1.54s/it] 86%|████████▌ | 43/50 [01:12<00:10, 1.52s/it] 88%|████████▊ | 44/50 [01:14<00:09, 1.57s/it] 90%|█████████ | 45/50 [01:15<00:07, 1.55s/it] 92%|█████████▏| 46/50 [01:17<00:06, 1.50s/it] 94%|█████████▍| 47/50 [01:18<00:04, 1.44s/it] 96%|█████████▌| 48/50 [01:19<00:02, 1.45s/it] 98%|█████████▊| 49/50 [01:20<00:01, 1.26s/it] 100%|██████████| 50/50 [01:21<00:00, 1.08s/it] 100%|██████████| 50/50 [01:21<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.8ms Speed: 3.0ms preprocess, 7.8ms 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), 7.3ms Speed: 2.8ms preprocess, 7.3ms 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), 7.3ms Speed: 2.7ms preprocess, 7.3ms 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), 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 2 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.9ms preprocess, 7.5ms 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), 7.0ms Speed: 2.6ms preprocess, 7.0ms 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), 7.3ms Speed: 2.6ms preprocess, 7.3ms 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), 7.1ms Speed: 2.9ms preprocess, 7.1ms 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:1.4,best quality)), cloud, outdoors, (mountains), spring glade, scenery, sky, winter, village, tree, pond, fishing hut, high detail, abundant, 8k, high detail, wallpaper,
negative_prompt
Specify things to not see in the output
((portrait)), ((focus on face)), ((more than 2 arms:2)), ((more than 2 legs:2)), ((nsfw:2)), ((nipples:2)), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark))
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
0.3
contrast
Adjust contrast
-0.6
saturation
Adjust saturation
0.6
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
779632157
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
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
ClearVAE_V2.3_fp16.pt
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
kolin-nvwls-v1.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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
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/3d2562f7e14846688efacbeeabca4a7b/00000-779632157.webp
https://files.tungsten.run/uploads/b1f3c652dc70494f9a9855d9794593d1/00001-779632158.webp
https://files.tungsten.run/uploads/7cde1f01355341e98dfff5060bfc51e9/00002-779632159.webp
https://files.tungsten.run/uploads/1061cbf827bf468184ab4c9f353b7356/00003-779632160.webp
Finished in 93.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: ((masterpiece:1.4,best quality)), cloud, outdoors, (mountains), spring glade, scenery, sky, winter, village, tree, pond, fishing hut, high detail, abundant, 8k, high detail, wallpaper,, <lora:add_brightness:0.3>, <lora:contrast_slider_v10:-0.6>, <lora:add_saturation:0.6> Full negative prompt: ((portrait)), ((focus on face)), ((more than 2 arms:2)), ((more than 2 legs:2)), ((nsfw:2)), ((nipples:2)), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)) 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:34, 1.92s/it] 4%|▍ | 2/50 [00:03<01:28, 1.85s/it] 6%|▌ | 3/50 [00:05<01:21, 1.73s/it] 8%|▊ | 4/50 [00:07<01:20, 1.74s/it] 10%|█ | 5/50 [00:08<01:18, 1.74s/it] 12%|█▏ | 6/50 [00:10<01:16, 1.74s/it] 14%|█▍ | 7/50 [00:12<01:14, 1.73s/it] 16%|█▌ | 8/50 [00:14<01:15, 1.79s/it] 18%|█▊ | 9/50 [00:16<01:14, 1.81s/it] 20%|██ | 10/50 [00:17<01:11, 1.79s/it] 22%|██▏ | 11/50 [00:19<01:10, 1.80s/it] 24%|██▍ | 12/50 [00:21<01:07, 1.78s/it] 26%|██▌ | 13/50 [00:23<01:07, 1.81s/it] 28%|██▊ | 14/50 [00:24<01:03, 1.78s/it] 30%|███ | 15/50 [00:26<01:02, 1.77s/it] 32%|███▏ | 16/50 [00:28<00:59, 1.76s/it] 34%|███▍ | 17/50 [00:30<00:57, 1.75s/it] 36%|███▌ | 18/50 [00:32<00:57, 1.79s/it] 38%|███▊ | 19/50 [00:33<00:53, 1.73s/it] 40%|████ | 20/50 [00:35<00:52, 1.76s/it] 42%|████▏ | 21/50 [00:37<00:50, 1.75s/it] 44%|████▍ | 22/50 [00:38<00:48, 1.74s/it] 46%|████▌ | 23/50 [00:40<00:45, 1.70s/it] 48%|████▊ | 24/50 [00:42<00:44, 1.73s/it] 50%|█████ | 25/50 [00:43<00:41, 1.67s/it] 52%|█████▏ | 26/50 [00:45<00:39, 1.67s/it] 54%|█████▍ | 27/50 [00:47<00:39, 1.74s/it] 56%|█████▌ | 28/50 [00:49<00:39, 1.80s/it] 58%|█████▊ | 29/50 [00:50<00:36, 1.76s/it] 60%|██████ | 30/50 [00:52<00:35, 1.80s/it] 62%|██████▏ | 31/50 [00:54<00:32, 1.70s/it] 64%|██████▍ | 32/50 [00:55<00:29, 1.64s/it] 66%|██████▌ | 33/50 [00:57<00:28, 1.65s/it] 68%|██████▊ | 34/50 [00:59<00:25, 1.61s/it] 70%|███████ | 35/50 [01:00<00:24, 1.61s/it] 72%|███████▏ | 36/50 [01:01<00:21, 1.52s/it] 74%|███████▍ | 37/50 [01:03<00:19, 1.47s/it] 76%|███████▌ | 38/50 [01:04<00:17, 1.45s/it] 78%|███████▊ | 39/50 [01:06<00:16, 1.51s/it] 80%|████████ | 40/50 [01:07<00:14, 1.50s/it] 82%|████████▏ | 41/50 [01:09<00:14, 1.57s/it] 84%|████████▍ | 42/50 [01:11<00:12, 1.54s/it] 86%|████████▌ | 43/50 [01:12<00:10, 1.52s/it] 88%|████████▊ | 44/50 [01:14<00:09, 1.57s/it] 90%|█████████ | 45/50 [01:15<00:07, 1.55s/it] 92%|█████████▏| 46/50 [01:17<00:06, 1.50s/it] 94%|█████████▍| 47/50 [01:18<00:04, 1.44s/it] 96%|█████████▌| 48/50 [01:19<00:02, 1.45s/it] 98%|█████████▊| 49/50 [01:20<00:01, 1.26s/it] 100%|██████████| 50/50 [01:21<00:00, 1.08s/it] 100%|██████████| 50/50 [01:21<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.8ms Speed: 3.0ms preprocess, 7.8ms 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), 7.3ms Speed: 2.8ms preprocess, 7.3ms 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), 7.3ms Speed: 2.7ms preprocess, 7.3ms 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), 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 2 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.9ms preprocess, 7.5ms 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), 7.0ms Speed: 2.6ms preprocess, 7.0ms 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), 7.3ms Speed: 2.6ms preprocess, 7.3ms 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), 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.