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Colorful Mountains with Gleipnir
gleipnir:v2.0
sparks
sparks
·
Feb 6
349
Input
prompt
Specify things to see in the output
abstract art of a mountain landscape very colorful and epic it's snowing and the sun is going down
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
3
width
Output image width
1200
height
Output image height
1200
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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 Exponential
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
6
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/41f323bc1a7e4b37bbd09efcb7296965/00000-3576918013.webp
https://files.tungsten.run/uploads/31dd6c213d824be29df57c532a64fdef/00001-3576918014.webp
https://files.tungsten.run/uploads/c7e581e5082d4078afb64c1cee1b5c1c/00002-3576918015.webp
Finished in 227.9 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3576918013 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: abstract art of a mountain landscape very colorful and epic it's snowing and the sun is going down, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:03<03:55, 3.99s/it] 3%|▎ | 2/60 [00:07<03:39, 3.79s/it] 5%|▌ | 3/60 [00:11<03:48, 4.01s/it] 7%|▋ | 4/60 [00:15<03:43, 3.99s/it] 8%|▊ | 5/60 [00:19<03:41, 4.03s/it] 10%|█ | 6/60 [00:24<03:40, 4.08s/it] 12%|█▏ | 7/60 [00:28<03:37, 4.11s/it] 13%|█▎ | 8/60 [00:32<03:32, 4.08s/it] 15%|█▌ | 9/60 [00:36<03:28, 4.09s/it] 17%|█▋ | 10/60 [00:40<03:22, 4.04s/it] 18%|█▊ | 11/60 [00:44<03:17, 4.04s/it] 20%|██ | 12/60 [00:48<03:10, 3.98s/it] 22%|██▏ | 13/60 [00:52<03:05, 3.95s/it] 23%|██▎ | 14/60 [00:56<03:04, 4.01s/it] 25%|██▌ | 15/60 [00:59<02:56, 3.92s/it] 27%|██▋ | 16/60 [01:03<02:47, 3.80s/it] 28%|██▊ | 17/60 [01:07<02:45, 3.85s/it] 30%|███ | 18/60 [01:11<02:40, 3.81s/it] 32%|███▏ | 19/60 [01:14<02:34, 3.76s/it] 33%|███▎ | 20/60 [01:18<02:30, 3.76s/it] 35%|███▌ | 21/60 [01:22<02:26, 3.75s/it] 37%|███▋ | 22/60 [01:26<02:23, 3.79s/it] 38%|███▊ | 23/60 [01:30<02:22, 3.84s/it] 40%|████ | 24/60 [01:33<02:16, 3.80s/it] 42%|████▏ | 25/60 [01:37<02:14, 3.83s/it] 43%|████▎ | 26/60 [01:41<02:08, 3.78s/it] 45%|████▌ | 27/60 [01:45<02:07, 3.87s/it] 47%|████▋ | 28/60 [01:49<02:02, 3.83s/it] 48%|████▊ | 29/60 [01:52<01:57, 3.80s/it] 50%|█████ | 30/60 [01:56<01:54, 3.80s/it] 52%|█████▏ | 31/60 [02:00<01:49, 3.78s/it] 53%|█████▎ | 32/60 [02:04<01:48, 3.89s/it] 55%|█████▌ | 33/60 [02:08<01:48, 4.01s/it] 57%|█████▋ | 34/60 [02:12<01:42, 3.95s/it] 58%|█████▊ | 35/60 [02:16<01:36, 3.88s/it] 60%|██████ | 36/60 [02:20<01:32, 3.85s/it] 62%|██████▏ | 37/60 [02:23<01:26, 3.77s/it] 63%|██████▎ | 38/60 [02:27<01:20, 3.67s/it] 65%|██████▌ | 39/60 [02:31<01:19, 3.78s/it] 67%|██████▋ | 40/60 [02:34<01:14, 3.71s/it] 68%|██████▊ | 41/60 [02:38<01:08, 3.61s/it] 70%|███████ | 42/60 [02:41<01:04, 3.61s/it] 72%|███████▏ | 43/60 [02:45<01:00, 3.59s/it] 73%|███████▎ | 44/60 [02:48<00:56, 3.51s/it] 75%|███████▌ | 45/60 [02:52<00:51, 3.45s/it] 77%|███████▋ | 46/60 [02:55<00:48, 3.44s/it] 78%|███████▊ | 47/60 [02:59<00:45, 3.51s/it] 80%|████████ | 48/60 [03:02<00:41, 3.46s/it] 82%|████████▏ | 49/60 [03:05<00:37, 3.39s/it] 83%|████████▎ | 50/60 [03:09<00:35, 3.52s/it] 85%|████████▌ | 51/60 [03:12<00:30, 3.42s/it] 87%|████████▋ | 52/60 [03:15<00:26, 3.36s/it] 88%|████████▊ | 53/60 [03:19<00:24, 3.43s/it] 90%|█████████ | 54/60 [03:22<00:20, 3.38s/it] 92%|█████████▏| 55/60 [03:26<00:17, 3.43s/it] 93%|█████████▎| 56/60 [03:29<00:13, 3.39s/it] 95%|█████████▌| 57/60 [03:32<00:09, 3.28s/it] 97%|█████████▋| 58/60 [03:35<00:06, 3.22s/it] 98%|█████████▊| 59/60 [03:37<00:02, 2.90s/it] 100%|██████████| 60/60 [03:39<00:00, 2.61s/it] 100%|██████████| 60/60 [03:39<00:00, 3.66s/it] Decoding latents in cuda:0... done in 3.33s Move latents to cpu... done in 0.04s Uploading outputs... Finished.
prompt
Specify things to see in the output
abstract art of a mountain landscape very colorful and epic it's snowing and the sun is going down
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
3
width
Output image width
1200
height
Output image height
1200
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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 Exponential
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
6
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/41f323bc1a7e4b37bbd09efcb7296965/00000-3576918013.webp
https://files.tungsten.run/uploads/31dd6c213d824be29df57c532a64fdef/00001-3576918014.webp
https://files.tungsten.run/uploads/c7e581e5082d4078afb64c1cee1b5c1c/00002-3576918015.webp
Finished in 227.9 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3576918013 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: abstract art of a mountain landscape very colorful and epic it's snowing and the sun is going down, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:03<03:55, 3.99s/it] 3%|▎ | 2/60 [00:07<03:39, 3.79s/it] 5%|▌ | 3/60 [00:11<03:48, 4.01s/it] 7%|▋ | 4/60 [00:15<03:43, 3.99s/it] 8%|▊ | 5/60 [00:19<03:41, 4.03s/it] 10%|█ | 6/60 [00:24<03:40, 4.08s/it] 12%|█▏ | 7/60 [00:28<03:37, 4.11s/it] 13%|█▎ | 8/60 [00:32<03:32, 4.08s/it] 15%|█▌ | 9/60 [00:36<03:28, 4.09s/it] 17%|█▋ | 10/60 [00:40<03:22, 4.04s/it] 18%|█▊ | 11/60 [00:44<03:17, 4.04s/it] 20%|██ | 12/60 [00:48<03:10, 3.98s/it] 22%|██▏ | 13/60 [00:52<03:05, 3.95s/it] 23%|██▎ | 14/60 [00:56<03:04, 4.01s/it] 25%|██▌ | 15/60 [00:59<02:56, 3.92s/it] 27%|██▋ | 16/60 [01:03<02:47, 3.80s/it] 28%|██▊ | 17/60 [01:07<02:45, 3.85s/it] 30%|███ | 18/60 [01:11<02:40, 3.81s/it] 32%|███▏ | 19/60 [01:14<02:34, 3.76s/it] 33%|███▎ | 20/60 [01:18<02:30, 3.76s/it] 35%|███▌ | 21/60 [01:22<02:26, 3.75s/it] 37%|███▋ | 22/60 [01:26<02:23, 3.79s/it] 38%|███▊ | 23/60 [01:30<02:22, 3.84s/it] 40%|████ | 24/60 [01:33<02:16, 3.80s/it] 42%|████▏ | 25/60 [01:37<02:14, 3.83s/it] 43%|████▎ | 26/60 [01:41<02:08, 3.78s/it] 45%|████▌ | 27/60 [01:45<02:07, 3.87s/it] 47%|████▋ | 28/60 [01:49<02:02, 3.83s/it] 48%|████▊ | 29/60 [01:52<01:57, 3.80s/it] 50%|█████ | 30/60 [01:56<01:54, 3.80s/it] 52%|█████▏ | 31/60 [02:00<01:49, 3.78s/it] 53%|█████▎ | 32/60 [02:04<01:48, 3.89s/it] 55%|█████▌ | 33/60 [02:08<01:48, 4.01s/it] 57%|█████▋ | 34/60 [02:12<01:42, 3.95s/it] 58%|█████▊ | 35/60 [02:16<01:36, 3.88s/it] 60%|██████ | 36/60 [02:20<01:32, 3.85s/it] 62%|██████▏ | 37/60 [02:23<01:26, 3.77s/it] 63%|██████▎ | 38/60 [02:27<01:20, 3.67s/it] 65%|██████▌ | 39/60 [02:31<01:19, 3.78s/it] 67%|██████▋ | 40/60 [02:34<01:14, 3.71s/it] 68%|██████▊ | 41/60 [02:38<01:08, 3.61s/it] 70%|███████ | 42/60 [02:41<01:04, 3.61s/it] 72%|███████▏ | 43/60 [02:45<01:00, 3.59s/it] 73%|███████▎ | 44/60 [02:48<00:56, 3.51s/it] 75%|███████▌ | 45/60 [02:52<00:51, 3.45s/it] 77%|███████▋ | 46/60 [02:55<00:48, 3.44s/it] 78%|███████▊ | 47/60 [02:59<00:45, 3.51s/it] 80%|████████ | 48/60 [03:02<00:41, 3.46s/it] 82%|████████▏ | 49/60 [03:05<00:37, 3.39s/it] 83%|████████▎ | 50/60 [03:09<00:35, 3.52s/it] 85%|████████▌ | 51/60 [03:12<00:30, 3.42s/it] 87%|████████▋ | 52/60 [03:15<00:26, 3.36s/it] 88%|████████▊ | 53/60 [03:19<00:24, 3.43s/it] 90%|█████████ | 54/60 [03:22<00:20, 3.38s/it] 92%|█████████▏| 55/60 [03:26<00:17, 3.43s/it] 93%|█████████▎| 56/60 [03:29<00:13, 3.39s/it] 95%|█████████▌| 57/60 [03:32<00:09, 3.28s/it] 97%|█████████▋| 58/60 [03:35<00:06, 3.22s/it] 98%|█████████▊| 59/60 [03:37<00:02, 2.90s/it] 100%|██████████| 60/60 [03:39<00:00, 2.61s/it] 100%|██████████| 60/60 [03:39<00:00, 3.66s/it] Decoding latents in cuda:0... done in 3.33s Move latents to cpu... done in 0.04s Uploading outputs... Finished.