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Painting of a Fisherman with fenris-xl
fenris-xl:v16.4
sparks
sparks
·
Jan 23
373
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
1.5
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/7beefae3b7a240df9755cdca524291f4/00000-3698360967.webp
https://files.tungsten.run/uploads/d82116db65164595990169775486d13d/00001-3698360968.webp
https://files.tungsten.run/uploads/28163ea2ce7147dd85463a720b9745c2/00002-3698360969.webp
Finished in 563.7 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3698360967 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:1.5> Full negative prompt: ((blurry)), worst quality, 3D, cgi, signature, watermark, watermarks, undefined 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:06<09:11, 6.98s/it] 2%|▎ | 2/80 [00:14<09:51, 7.59s/it] 4%|▍ | 3/80 [00:22<09:41, 7.55s/it] 5%|▌ | 4/80 [00:30<09:45, 7.70s/it] 6%|▋ | 5/80 [00:38<09:36, 7.69s/it] 8%|▊ | 6/80 [00:46<09:34, 7.77s/it] 9%|▉ | 7/80 [00:54<09:34, 7.86s/it] 10%|█ | 8/80 [01:01<09:25, 7.86s/it] 11%|█▏ | 9/80 [01:09<09:17, 7.86s/it] 12%|█▎ | 10/80 [01:17<08:59, 7.71s/it] 14%|█▍ | 11/80 [01:25<09:11, 7.99s/it] 15%|█▌ | 12/80 [01:33<08:59, 7.94s/it] 16%|█▋ | 13/80 [01:41<08:48, 7.89s/it] 18%|█▊ | 14/80 [01:49<08:38, 7.86s/it] 19%|█▉ | 15/80 [01:56<08:23, 7.74s/it] 20%|██ | 16/80 [02:04<08:16, 7.76s/it] 21%|██▏ | 17/80 [02:12<08:08, 7.75s/it] 22%|██▎ | 18/80 [02:20<08:04, 7.82s/it] 24%|██▍ | 19/80 [02:28<07:59, 7.86s/it] 25%|██▌ | 20/80 [02:36<07:52, 7.88s/it] 26%|██▋ | 21/80 [02:44<07:47, 7.92s/it] 28%|██▊ | 22/80 [02:51<07:38, 7.91s/it] 29%|██▉ | 23/80 [02:59<07:25, 7.82s/it] 30%|███ | 24/80 [03:07<07:17, 7.81s/it] 31%|███▏ | 25/80 [03:15<07:14, 7.90s/it] 32%|███▎ | 26/80 [03:23<07:01, 7.81s/it] 34%|███▍ | 27/80 [03:29<06:31, 7.38s/it] 35%|███▌ | 28/80 [03:37<06:35, 7.60s/it] 36%|███▋ | 29/80 [03:45<06:32, 7.70s/it] 38%|███▊ | 30/80 [03:53<06:24, 7.69s/it] 39%|███▉ | 31/80 [04:00<06:11, 7.59s/it] 40%|████ | 32/80 [04:07<05:51, 7.32s/it] 41%|████▏ | 33/80 [04:14<05:48, 7.41s/it] 42%|████▎ | 34/80 [04:20<05:21, 6.98s/it] 44%|████▍ | 35/80 [04:29<05:36, 7.48s/it] 45%|████▌ | 36/80 [04:37<05:33, 7.58s/it] 46%|████▋ | 37/80 [04:44<05:16, 7.35s/it] 48%|████▊ | 38/80 [04:50<04:53, 6.98s/it] 49%|████▉ | 39/80 [04:56<04:38, 6.80s/it] 50%|█████ | 40/80 [05:04<04:42, 7.06s/it] 51%|█████▏ | 41/80 [05:10<04:29, 6.90s/it] 52%|█████▎ | 42/80 [05:16<04:13, 6.68s/it] 54%|█████▍ | 43/80 [05:23<04:00, 6.51s/it] 55%|█████▌ | 44/80 [05:30<04:04, 6.80s/it] 56%|█████▋ | 45/80 [05:37<03:58, 6.82s/it] 57%|█████▊ | 46/80 [05:44<03:50, 6.77s/it] 59%|█████▉ | 47/80 [05:50<03:42, 6.73s/it] 60%|██████ | 48/80 [05:57<03:34, 6.69s/it] 61%|██████▏ | 49/80 [06:03<03:24, 6.60s/it] 62%|██████▎ | 50/80 [06:11<03:25, 6.86s/it] 64%|██████▍ | 51/80 [06:17<03:17, 6.82s/it] 65%|██████▌ | 52/80 [06:25<03:14, 6.94s/it] 66%|██████▋ | 53/80 [06:31<03:01, 6.73s/it] 68%|██████▊ | 54/80 [06:37<02:53, 6.66s/it] 69%|██████▉ | 55/80 [06:45<02:50, 6.82s/it] 70%|███████ | 56/80 [06:52<02:48, 7.02s/it] 71%|███████▏ | 57/80 [06:59<02:39, 6.94s/it] 72%|███████▎ | 58/80 [07:06<02:36, 7.09s/it] 74%|███████▍ | 59/80 [07:14<02:31, 7.22s/it] 75%|███████▌ | 60/80 [07:20<02:19, 6.96s/it] 76%|███████▋ | 61/80 [07:27<02:09, 6.82s/it] 78%|███████▊ | 62/80 [07:34<02:04, 6.91s/it] 79%|███████▉ | 63/80 [07:40<01:53, 6.67s/it] 80%|████████ | 64/80 [07:46<01:45, 6.60s/it] 81%|████████▏ | 65/80 [07:52<01:35, 6.37s/it] 82%|████████▎ | 66/80 [07:58<01:27, 6.22s/it] 84%|████████▍ | 67/80 [08:04<01:19, 6.10s/it] 85%|████████▌ | 68/80 [08:10<01:12, 6.07s/it] 86%|████████▋ | 69/80 [08:16<01:07, 6.13s/it] 88%|████████▊ | 70/80 [08:22<01:01, 6.10s/it] 89%|████████▉ | 71/80 [08:28<00:54, 6.04s/it] 90%|█████████ | 72/80 [08:34<00:47, 5.94s/it] 91%|█████████▏| 73/80 [08:39<00:41, 5.90s/it] 92%|█████████▎| 74/80 [08:45<00:34, 5.79s/it] 94%|█████████▍| 75/80 [08:51<00:29, 5.92s/it] 95%|█████████▌| 76/80 [08:57<00:23, 5.93s/it] 96%|█████████▋| 77/80 [09:03<00:17, 5.76s/it] 98%|█████████▊| 78/80 [09:08<00:11, 5.66s/it] 99%|█████████▉| 79/80 [09:13<00:05, 5.43s/it] 100%|██████████| 80/80 [09:15<00:00, 4.43s/it] 100%|██████████| 80/80 [09:15<00:00, 6.94s/it] Decoding latents in cuda:0... done in 3.4s 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
1.5
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/7beefae3b7a240df9755cdca524291f4/00000-3698360967.webp
https://files.tungsten.run/uploads/d82116db65164595990169775486d13d/00001-3698360968.webp
https://files.tungsten.run/uploads/28163ea2ce7147dd85463a720b9745c2/00002-3698360969.webp
Finished in 563.7 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3698360967 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:1.5> Full negative prompt: ((blurry)), worst quality, 3D, cgi, signature, watermark, watermarks, undefined 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:06<09:11, 6.98s/it] 2%|▎ | 2/80 [00:14<09:51, 7.59s/it] 4%|▍ | 3/80 [00:22<09:41, 7.55s/it] 5%|▌ | 4/80 [00:30<09:45, 7.70s/it] 6%|▋ | 5/80 [00:38<09:36, 7.69s/it] 8%|▊ | 6/80 [00:46<09:34, 7.77s/it] 9%|▉ | 7/80 [00:54<09:34, 7.86s/it] 10%|█ | 8/80 [01:01<09:25, 7.86s/it] 11%|█▏ | 9/80 [01:09<09:17, 7.86s/it] 12%|█▎ | 10/80 [01:17<08:59, 7.71s/it] 14%|█▍ | 11/80 [01:25<09:11, 7.99s/it] 15%|█▌ | 12/80 [01:33<08:59, 7.94s/it] 16%|█▋ | 13/80 [01:41<08:48, 7.89s/it] 18%|█▊ | 14/80 [01:49<08:38, 7.86s/it] 19%|█▉ | 15/80 [01:56<08:23, 7.74s/it] 20%|██ | 16/80 [02:04<08:16, 7.76s/it] 21%|██▏ | 17/80 [02:12<08:08, 7.75s/it] 22%|██▎ | 18/80 [02:20<08:04, 7.82s/it] 24%|██▍ | 19/80 [02:28<07:59, 7.86s/it] 25%|██▌ | 20/80 [02:36<07:52, 7.88s/it] 26%|██▋ | 21/80 [02:44<07:47, 7.92s/it] 28%|██▊ | 22/80 [02:51<07:38, 7.91s/it] 29%|██▉ | 23/80 [02:59<07:25, 7.82s/it] 30%|███ | 24/80 [03:07<07:17, 7.81s/it] 31%|███▏ | 25/80 [03:15<07:14, 7.90s/it] 32%|███▎ | 26/80 [03:23<07:01, 7.81s/it] 34%|███▍ | 27/80 [03:29<06:31, 7.38s/it] 35%|███▌ | 28/80 [03:37<06:35, 7.60s/it] 36%|███▋ | 29/80 [03:45<06:32, 7.70s/it] 38%|███▊ | 30/80 [03:53<06:24, 7.69s/it] 39%|███▉ | 31/80 [04:00<06:11, 7.59s/it] 40%|████ | 32/80 [04:07<05:51, 7.32s/it] 41%|████▏ | 33/80 [04:14<05:48, 7.41s/it] 42%|████▎ | 34/80 [04:20<05:21, 6.98s/it] 44%|████▍ | 35/80 [04:29<05:36, 7.48s/it] 45%|████▌ | 36/80 [04:37<05:33, 7.58s/it] 46%|████▋ | 37/80 [04:44<05:16, 7.35s/it] 48%|████▊ | 38/80 [04:50<04:53, 6.98s/it] 49%|████▉ | 39/80 [04:56<04:38, 6.80s/it] 50%|█████ | 40/80 [05:04<04:42, 7.06s/it] 51%|█████▏ | 41/80 [05:10<04:29, 6.90s/it] 52%|█████▎ | 42/80 [05:16<04:13, 6.68s/it] 54%|█████▍ | 43/80 [05:23<04:00, 6.51s/it] 55%|█████▌ | 44/80 [05:30<04:04, 6.80s/it] 56%|█████▋ | 45/80 [05:37<03:58, 6.82s/it] 57%|█████▊ | 46/80 [05:44<03:50, 6.77s/it] 59%|█████▉ | 47/80 [05:50<03:42, 6.73s/it] 60%|██████ | 48/80 [05:57<03:34, 6.69s/it] 61%|██████▏ | 49/80 [06:03<03:24, 6.60s/it] 62%|██████▎ | 50/80 [06:11<03:25, 6.86s/it] 64%|██████▍ | 51/80 [06:17<03:17, 6.82s/it] 65%|██████▌ | 52/80 [06:25<03:14, 6.94s/it] 66%|██████▋ | 53/80 [06:31<03:01, 6.73s/it] 68%|██████▊ | 54/80 [06:37<02:53, 6.66s/it] 69%|██████▉ | 55/80 [06:45<02:50, 6.82s/it] 70%|███████ | 56/80 [06:52<02:48, 7.02s/it] 71%|███████▏ | 57/80 [06:59<02:39, 6.94s/it] 72%|███████▎ | 58/80 [07:06<02:36, 7.09s/it] 74%|███████▍ | 59/80 [07:14<02:31, 7.22s/it] 75%|███████▌ | 60/80 [07:20<02:19, 6.96s/it] 76%|███████▋ | 61/80 [07:27<02:09, 6.82s/it] 78%|███████▊ | 62/80 [07:34<02:04, 6.91s/it] 79%|███████▉ | 63/80 [07:40<01:53, 6.67s/it] 80%|████████ | 64/80 [07:46<01:45, 6.60s/it] 81%|████████▏ | 65/80 [07:52<01:35, 6.37s/it] 82%|████████▎ | 66/80 [07:58<01:27, 6.22s/it] 84%|████████▍ | 67/80 [08:04<01:19, 6.10s/it] 85%|████████▌ | 68/80 [08:10<01:12, 6.07s/it] 86%|████████▋ | 69/80 [08:16<01:07, 6.13s/it] 88%|████████▊ | 70/80 [08:22<01:01, 6.10s/it] 89%|████████▉ | 71/80 [08:28<00:54, 6.04s/it] 90%|█████████ | 72/80 [08:34<00:47, 5.94s/it] 91%|█████████▏| 73/80 [08:39<00:41, 5.90s/it] 92%|█████████▎| 74/80 [08:45<00:34, 5.79s/it] 94%|█████████▍| 75/80 [08:51<00:29, 5.92s/it] 95%|█████████▌| 76/80 [08:57<00:23, 5.93s/it] 96%|█████████▋| 77/80 [09:03<00:17, 5.76s/it] 98%|█████████▊| 78/80 [09:08<00:11, 5.66s/it] 99%|█████████▉| 79/80 [09:13<00:05, 5.43s/it] 100%|██████████| 80/80 [09:15<00:00, 4.43s/it] 100%|██████████| 80/80 [09:15<00:00, 6.94s/it] Decoding latents in cuda:0... done in 3.4s Move latents to cpu... done in 0.04s Uploading outputs... Finished.