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Drawing of a Fisherman with Gleipnir
gleipnir:v2.0
sparks
sparks
·
Feb 6
351
Input
prompt
Specify things to see in the output
Gauguin style drawing of an fisherman on a lake a new dawn is on the horizon, undefined
negative_prompt
Specify things to not see in the output
((blurry)), worst quality, 3D, cgi, signature, watermark, watermarks, undefined
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++ SDE Karras
samping_steps
Number of denoising steps
80
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/81086489a62f446aa75584a4ab1b368c/00000-2748269231.webp
https://files.tungsten.run/uploads/3ab7230264e34e479a42d416964e774e/00001-2748269232.webp
https://files.tungsten.run/uploads/539e786870bf460c9b55c3e02d01236f/00002-2748269233.webp
Finished in 548.7 seconds
Setting up the model... Preparing inputs... Processing... Using seed 2748269231 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Gauguin style drawing of an fisherman on a lake a new dawn is on the horizon, undefined, <lora:add-detail-xl:1.0> Full negative prompt: ((blurry)), worst quality, 3D, cgi, signature, watermark, watermarks, undefined 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:06<09:06, 6.91s/it] 2%|▎ | 2/80 [00:14<09:45, 7.51s/it] 4%|▍ | 3/80 [00:22<09:35, 7.48s/it] 5%|▌ | 4/80 [00:30<09:40, 7.63s/it] 6%|▋ | 5/80 [00:37<09:26, 7.56s/it] 8%|▊ | 6/80 [00:45<09:21, 7.58s/it] 9%|▉ | 7/80 [00:53<09:19, 7.66s/it] 10%|█ | 8/80 [01:00<09:12, 7.67s/it] 11%|█▏ | 9/80 [01:08<09:05, 7.68s/it] 12%|█▎ | 10/80 [01:16<09:04, 7.77s/it] 14%|█▍ | 11/80 [01:24<08:57, 7.79s/it] 15%|█▌ | 12/80 [01:31<08:47, 7.75s/it] 16%|█▋ | 13/80 [01:39<08:38, 7.74s/it] 18%|█▊ | 14/80 [01:47<08:29, 7.72s/it] 19%|█▉ | 15/80 [01:54<08:14, 7.60s/it] 20%|██ | 16/80 [02:01<08:01, 7.53s/it] 21%|██▏ | 17/80 [02:09<07:51, 7.49s/it] 22%|██▎ | 18/80 [02:17<07:47, 7.54s/it] 24%|██▍ | 19/80 [02:24<07:42, 7.59s/it] 25%|██▌ | 20/80 [02:32<07:37, 7.62s/it] 26%|██▋ | 21/80 [02:40<07:29, 7.61s/it] 28%|██▊ | 22/80 [02:47<07:20, 7.60s/it] 29%|██▉ | 23/80 [02:54<07:07, 7.51s/it] 30%|███ | 24/80 [03:02<07:00, 7.52s/it] 31%|███▏ | 25/80 [03:10<06:58, 7.61s/it] 32%|███▎ | 26/80 [03:17<06:48, 7.57s/it] 34%|███▍ | 27/80 [03:23<06:18, 7.14s/it] 35%|███▌ | 28/80 [03:31<06:23, 7.38s/it] 36%|███▋ | 29/80 [03:39<06:23, 7.51s/it] 38%|███▊ | 30/80 [03:47<06:17, 7.55s/it] 39%|███▉ | 31/80 [03:54<06:05, 7.46s/it] 40%|████ | 32/80 [04:01<05:44, 7.18s/it] 41%|████▏ | 33/80 [04:08<05:40, 7.25s/it] 42%|████▎ | 34/80 [04:14<05:10, 6.76s/it] 44%|████▍ | 35/80 [04:22<05:24, 7.20s/it] 45%|████▌ | 36/80 [04:29<05:20, 7.29s/it] 46%|████▋ | 37/80 [04:36<05:04, 7.08s/it] 48%|████▊ | 38/80 [04:42<04:42, 6.71s/it] 49%|████▉ | 39/80 [04:48<04:33, 6.68s/it] 50%|█████ | 40/80 [04:56<04:35, 6.88s/it] 51%|█████▏ | 41/80 [05:02<04:21, 6.72s/it] 52%|█████▎ | 42/80 [05:08<04:04, 6.43s/it] 54%|█████▍ | 43/80 [05:14<03:51, 6.27s/it] 55%|█████▌ | 44/80 [05:21<03:56, 6.57s/it] 56%|█████▋ | 45/80 [05:27<03:48, 6.54s/it] 57%|█████▊ | 46/80 [05:34<03:40, 6.48s/it] 59%|█████▉ | 47/80 [05:40<03:32, 6.43s/it] 60%|██████ | 48/80 [05:46<03:24, 6.38s/it] 61%|██████▏ | 49/80 [05:53<03:16, 6.33s/it] 62%|██████▎ | 50/80 [06:00<03:18, 6.62s/it] 64%|██████▍ | 51/80 [06:06<03:11, 6.61s/it] 65%|██████▌ | 52/80 [06:14<03:09, 6.76s/it] 66%|██████▋ | 53/80 [06:20<02:56, 6.55s/it] 68%|██████▊ | 54/80 [06:26<02:48, 6.49s/it] 69%|██████▉ | 55/80 [06:33<02:46, 6.68s/it] 70%|███████ | 56/80 [06:41<02:45, 6.90s/it] 71%|███████▏ | 57/80 [06:47<02:36, 6.78s/it] 72%|███████▎ | 58/80 [06:54<02:32, 6.93s/it] 74%|███████▍ | 59/80 [07:02<02:28, 7.07s/it] 75%|███████▌ | 60/80 [07:08<02:15, 6.79s/it] 76%|███████▋ | 61/80 [07:14<02:05, 6.62s/it] 78%|███████▊ | 62/80 [07:21<02:00, 6.71s/it] 79%|███████▉ | 63/80 [07:27<01:49, 6.45s/it] 80%|████████ | 64/80 [07:33<01:42, 6.42s/it] 81%|████████▏ | 65/80 [07:39<01:32, 6.20s/it] 82%|████████▎ | 66/80 [07:45<01:25, 6.08s/it] 84%|████████▍ | 67/80 [07:50<01:17, 5.99s/it] 85%|████████▌ | 68/80 [07:56<01:11, 5.99s/it] 86%|████████▋ | 69/80 [08:03<01:06, 6.09s/it] 88%|████████▊ | 70/80 [08:09<01:00, 6.05s/it] 89%|████████▉ | 71/80 [08:15<00:53, 5.98s/it] 90%|█████████ | 72/80 [08:20<00:47, 5.88s/it] 91%|█████████▏| 73/80 [08:26<00:40, 5.82s/it] 92%|█████████▎| 74/80 [08:31<00:34, 5.69s/it] 94%|█████████▍| 75/80 [08:37<00:29, 5.81s/it] 95%|█████████▌| 76/80 [08:43<00:23, 5.79s/it] 96%|█████████▋| 77/80 [08:48<00:16, 5.61s/it] 98%|█████████▊| 78/80 [08:53<00:10, 5.49s/it] 99%|█████████▉| 79/80 [08:58<00:05, 5.25s/it] 100%|██████████| 80/80 [09:00<00:00, 4.27s/it] 100%|██████████| 80/80 [09:00<00:00, 6.76s/it] Decoding latents in cuda:0... done in 3.3s Move latents to cpu... done in 0.04s Uploading outputs... Finished.
prompt
Specify things to see in the output
Gauguin style drawing of an fisherman on a lake a new dawn is on the horizon, undefined
negative_prompt
Specify things to not see in the output
((blurry)), worst quality, 3D, cgi, signature, watermark, watermarks, undefined
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++ SDE Karras
samping_steps
Number of denoising steps
80
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/81086489a62f446aa75584a4ab1b368c/00000-2748269231.webp
https://files.tungsten.run/uploads/3ab7230264e34e479a42d416964e774e/00001-2748269232.webp
https://files.tungsten.run/uploads/539e786870bf460c9b55c3e02d01236f/00002-2748269233.webp
Finished in 548.7 seconds
Setting up the model... Preparing inputs... Processing... Using seed 2748269231 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Gauguin style drawing of an fisherman on a lake a new dawn is on the horizon, undefined, <lora:add-detail-xl:1.0> Full negative prompt: ((blurry)), worst quality, 3D, cgi, signature, watermark, watermarks, undefined 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:06<09:06, 6.91s/it] 2%|▎ | 2/80 [00:14<09:45, 7.51s/it] 4%|▍ | 3/80 [00:22<09:35, 7.48s/it] 5%|▌ | 4/80 [00:30<09:40, 7.63s/it] 6%|▋ | 5/80 [00:37<09:26, 7.56s/it] 8%|▊ | 6/80 [00:45<09:21, 7.58s/it] 9%|▉ | 7/80 [00:53<09:19, 7.66s/it] 10%|█ | 8/80 [01:00<09:12, 7.67s/it] 11%|█▏ | 9/80 [01:08<09:05, 7.68s/it] 12%|█▎ | 10/80 [01:16<09:04, 7.77s/it] 14%|█▍ | 11/80 [01:24<08:57, 7.79s/it] 15%|█▌ | 12/80 [01:31<08:47, 7.75s/it] 16%|█▋ | 13/80 [01:39<08:38, 7.74s/it] 18%|█▊ | 14/80 [01:47<08:29, 7.72s/it] 19%|█▉ | 15/80 [01:54<08:14, 7.60s/it] 20%|██ | 16/80 [02:01<08:01, 7.53s/it] 21%|██▏ | 17/80 [02:09<07:51, 7.49s/it] 22%|██▎ | 18/80 [02:17<07:47, 7.54s/it] 24%|██▍ | 19/80 [02:24<07:42, 7.59s/it] 25%|██▌ | 20/80 [02:32<07:37, 7.62s/it] 26%|██▋ | 21/80 [02:40<07:29, 7.61s/it] 28%|██▊ | 22/80 [02:47<07:20, 7.60s/it] 29%|██▉ | 23/80 [02:54<07:07, 7.51s/it] 30%|███ | 24/80 [03:02<07:00, 7.52s/it] 31%|███▏ | 25/80 [03:10<06:58, 7.61s/it] 32%|███▎ | 26/80 [03:17<06:48, 7.57s/it] 34%|███▍ | 27/80 [03:23<06:18, 7.14s/it] 35%|███▌ | 28/80 [03:31<06:23, 7.38s/it] 36%|███▋ | 29/80 [03:39<06:23, 7.51s/it] 38%|███▊ | 30/80 [03:47<06:17, 7.55s/it] 39%|███▉ | 31/80 [03:54<06:05, 7.46s/it] 40%|████ | 32/80 [04:01<05:44, 7.18s/it] 41%|████▏ | 33/80 [04:08<05:40, 7.25s/it] 42%|████▎ | 34/80 [04:14<05:10, 6.76s/it] 44%|████▍ | 35/80 [04:22<05:24, 7.20s/it] 45%|████▌ | 36/80 [04:29<05:20, 7.29s/it] 46%|████▋ | 37/80 [04:36<05:04, 7.08s/it] 48%|████▊ | 38/80 [04:42<04:42, 6.71s/it] 49%|████▉ | 39/80 [04:48<04:33, 6.68s/it] 50%|█████ | 40/80 [04:56<04:35, 6.88s/it] 51%|█████▏ | 41/80 [05:02<04:21, 6.72s/it] 52%|█████▎ | 42/80 [05:08<04:04, 6.43s/it] 54%|█████▍ | 43/80 [05:14<03:51, 6.27s/it] 55%|█████▌ | 44/80 [05:21<03:56, 6.57s/it] 56%|█████▋ | 45/80 [05:27<03:48, 6.54s/it] 57%|█████▊ | 46/80 [05:34<03:40, 6.48s/it] 59%|█████▉ | 47/80 [05:40<03:32, 6.43s/it] 60%|██████ | 48/80 [05:46<03:24, 6.38s/it] 61%|██████▏ | 49/80 [05:53<03:16, 6.33s/it] 62%|██████▎ | 50/80 [06:00<03:18, 6.62s/it] 64%|██████▍ | 51/80 [06:06<03:11, 6.61s/it] 65%|██████▌ | 52/80 [06:14<03:09, 6.76s/it] 66%|██████▋ | 53/80 [06:20<02:56, 6.55s/it] 68%|██████▊ | 54/80 [06:26<02:48, 6.49s/it] 69%|██████▉ | 55/80 [06:33<02:46, 6.68s/it] 70%|███████ | 56/80 [06:41<02:45, 6.90s/it] 71%|███████▏ | 57/80 [06:47<02:36, 6.78s/it] 72%|███████▎ | 58/80 [06:54<02:32, 6.93s/it] 74%|███████▍ | 59/80 [07:02<02:28, 7.07s/it] 75%|███████▌ | 60/80 [07:08<02:15, 6.79s/it] 76%|███████▋ | 61/80 [07:14<02:05, 6.62s/it] 78%|███████▊ | 62/80 [07:21<02:00, 6.71s/it] 79%|███████▉ | 63/80 [07:27<01:49, 6.45s/it] 80%|████████ | 64/80 [07:33<01:42, 6.42s/it] 81%|████████▏ | 65/80 [07:39<01:32, 6.20s/it] 82%|████████▎ | 66/80 [07:45<01:25, 6.08s/it] 84%|████████▍ | 67/80 [07:50<01:17, 5.99s/it] 85%|████████▌ | 68/80 [07:56<01:11, 5.99s/it] 86%|████████▋ | 69/80 [08:03<01:06, 6.09s/it] 88%|████████▊ | 70/80 [08:09<01:00, 6.05s/it] 89%|████████▉ | 71/80 [08:15<00:53, 5.98s/it] 90%|█████████ | 72/80 [08:20<00:47, 5.88s/it] 91%|█████████▏| 73/80 [08:26<00:40, 5.82s/it] 92%|█████████▎| 74/80 [08:31<00:34, 5.69s/it] 94%|█████████▍| 75/80 [08:37<00:29, 5.81s/it] 95%|█████████▌| 76/80 [08:43<00:23, 5.79s/it] 96%|█████████▋| 77/80 [08:48<00:16, 5.61s/it] 98%|█████████▊| 78/80 [08:53<00:10, 5.49s/it] 99%|█████████▉| 79/80 [08:58<00:05, 5.25s/it] 100%|██████████| 80/80 [09:00<00:00, 4.27s/it] 100%|██████████| 80/80 [09:00<00:00, 6.76s/it] Decoding latents in cuda:0... done in 3.3s Move latents to cpu... done in 0.04s Uploading outputs... Finished.