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Cat Pirat with Gleipnir
gleipnir:v2.0
sparks
sparks
·
Feb 6
366
Input
prompt
Specify things to see in the output
a cute cat Pirat one piece outfit wearing a straw hat he is raising his saber and is standing on a cliff and is looking down on an stormy ocean a new dawn is rising on the horizon, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh
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.
2732420510
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
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/ff33c6f371314309918dc0c5cce9c5e9/00000-2732420510.webp
https://files.tungsten.run/uploads/20a8f5865a78450a9c9decda0394aef5/00001-2732420511.webp
https://files.tungsten.run/uploads/9d052ca84cfd408ea8421669b8ff73cf/00002-2732420512.webp
Finished in 294.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a cute cat Pirat one piece outfit wearing a straw hat he is raising his saber and is standing on a cliff and is looking down on an stormy ocean a new dawn is rising on the horizon, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:04<05:32, 4.21s/it] 2%|▎ | 2/80 [00:07<05:05, 3.91s/it] 4%|▍ | 3/80 [00:11<04:47, 3.73s/it] 5%|▌ | 4/80 [00:15<04:47, 3.78s/it] 6%|▋ | 5/80 [00:19<04:50, 3.88s/it] 8%|▊ | 6/80 [00:23<04:48, 3.90s/it] 9%|▉ | 7/80 [00:27<04:45, 3.91s/it] 10%|█ | 8/80 [00:30<04:38, 3.86s/it] 11%|█▏ | 9/80 [00:34<04:33, 3.85s/it] 12%|█▎ | 10/80 [00:38<04:32, 3.89s/it] 14%|█▍ | 11/80 [00:42<04:27, 3.87s/it] 15%|█▌ | 12/80 [00:46<04:25, 3.90s/it] 16%|█▋ | 13/80 [00:50<04:12, 3.77s/it] 18%|█▊ | 14/80 [00:53<04:11, 3.81s/it] 19%|█▉ | 15/80 [00:57<04:09, 3.84s/it] 20%|██ | 16/80 [01:01<04:01, 3.77s/it] 21%|██▏ | 17/80 [01:04<03:48, 3.63s/it] 22%|██▎ | 18/80 [01:08<03:47, 3.66s/it] 24%|██▍ | 19/80 [01:11<03:40, 3.61s/it] 25%|██▌ | 20/80 [01:15<03:39, 3.66s/it] 26%|██▋ | 21/80 [01:19<03:33, 3.62s/it] 28%|██▊ | 22/80 [01:23<03:36, 3.73s/it] 29%|██▉ | 23/80 [01:27<03:33, 3.75s/it] 30%|███ | 24/80 [01:30<03:27, 3.70s/it] 31%|███▏ | 25/80 [01:34<03:32, 3.86s/it] 32%|███▎ | 26/80 [01:38<03:22, 3.76s/it] 34%|███▍ | 27/80 [01:41<03:15, 3.68s/it] 35%|███▌ | 28/80 [01:45<03:14, 3.74s/it] 36%|███▋ | 29/80 [01:49<03:07, 3.68s/it] 38%|███▊ | 30/80 [01:53<03:04, 3.69s/it] 39%|███▉ | 31/80 [01:56<02:56, 3.61s/it] 40%|████ | 32/80 [02:00<02:54, 3.65s/it] 41%|████▏ | 33/80 [02:03<02:49, 3.61s/it] 42%|████▎ | 34/80 [02:07<02:47, 3.63s/it] 44%|████▍ | 35/80 [02:10<02:41, 3.59s/it] 45%|████▌ | 36/80 [02:14<02:33, 3.48s/it] 46%|████▋ | 37/80 [02:17<02:34, 3.59s/it] 48%|████▊ | 38/80 [02:21<02:31, 3.60s/it] 49%|████▉ | 39/80 [02:25<02:26, 3.58s/it] 50%|█████ | 40/80 [02:28<02:25, 3.64s/it] 51%|█████▏ | 41/80 [02:32<02:20, 3.61s/it] 52%|█████▎ | 42/80 [02:36<02:18, 3.64s/it] 54%|█████▍ | 43/80 [02:39<02:16, 3.68s/it] 55%|█████▌ | 44/80 [02:43<02:10, 3.64s/it] 56%|█████▋ | 45/80 [02:47<02:08, 3.67s/it] 57%|█████▊ | 46/80 [02:50<02:05, 3.69s/it] 59%|█████▉ | 47/80 [02:54<01:56, 3.54s/it] 60%|██████ | 48/80 [02:57<01:54, 3.57s/it] 61%|██████▏ | 49/80 [03:01<01:50, 3.57s/it] 62%|██████▎ | 50/80 [03:05<01:47, 3.60s/it] 64%|██████▍ | 51/80 [03:08<01:42, 3.55s/it] 65%|██████▌ | 52/80 [03:12<01:39, 3.57s/it] 66%|██████▋ | 53/80 [03:15<01:36, 3.57s/it] 68%|██████▊ | 54/80 [03:19<01:32, 3.56s/it] 69%|██████▉ | 55/80 [03:22<01:26, 3.48s/it] 70%|███████ | 56/80 [03:25<01:23, 3.48s/it] 71%|███████▏ | 57/80 [03:29<01:18, 3.39s/it] 72%|███████▎ | 58/80 [03:32<01:14, 3.40s/it] 74%|███████▍ | 59/80 [03:36<01:11, 3.43s/it] 75%|███████▌ | 60/80 [03:39<01:09, 3.48s/it] 76%|███████▋ | 61/80 [03:43<01:08, 3.58s/it] 78%|███████▊ | 62/80 [03:46<01:03, 3.51s/it] 79%|███████▉ | 63/80 [03:50<01:00, 3.57s/it] 80%|████████ | 64/80 [03:53<00:56, 3.50s/it] 81%|████████▏ | 65/80 [03:57<00:53, 3.55s/it] 82%|████████▎ | 66/80 [04:00<00:49, 3.51s/it] 84%|████████▍ | 67/80 [04:04<00:46, 3.54s/it] 85%|████████▌ | 68/80 [04:08<00:43, 3.58s/it] 86%|████████▋ | 69/80 [04:11<00:39, 3.56s/it] 88%|████████▊ | 70/80 [04:15<00:34, 3.47s/it] 89%|████████▉ | 71/80 [04:18<00:31, 3.55s/it] 90%|█████████ | 72/80 [04:22<00:28, 3.50s/it] 91%|█████████▏| 73/80 [04:25<00:23, 3.41s/it] 92%|█████████▎| 74/80 [04:28<00:20, 3.40s/it] 94%|█████████▍| 75/80 [04:32<00:17, 3.45s/it] 95%|█████████▌| 76/80 [04:35<00:13, 3.43s/it] 96%|█████████▋| 77/80 [04:38<00:10, 3.34s/it] 98%|█████████▊| 78/80 [04:42<00:06, 3.38s/it] 99%|█████████▉| 79/80 [04:44<00:03, 3.08s/it] 100%|██████████| 80/80 [04:46<00:00, 2.71s/it] 100%|██████████| 80/80 [04:46<00:00, 3.58s/it] Decoding latents in cuda:0... done in 3.3s Move latents to cpu... done in 0.04s Finished.
prompt
Specify things to see in the output
a cute cat Pirat one piece outfit wearing a straw hat he is raising his saber and is standing on a cliff and is looking down on an stormy ocean a new dawn is rising on the horizon, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh
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.
2732420510
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
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/ff33c6f371314309918dc0c5cce9c5e9/00000-2732420510.webp
https://files.tungsten.run/uploads/20a8f5865a78450a9c9decda0394aef5/00001-2732420511.webp
https://files.tungsten.run/uploads/9d052ca84cfd408ea8421669b8ff73cf/00002-2732420512.webp
Finished in 294.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a cute cat Pirat one piece outfit wearing a straw hat he is raising his saber and is standing on a cliff and is looking down on an stormy ocean a new dawn is rising on the horizon, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:04<05:32, 4.21s/it] 2%|▎ | 2/80 [00:07<05:05, 3.91s/it] 4%|▍ | 3/80 [00:11<04:47, 3.73s/it] 5%|▌ | 4/80 [00:15<04:47, 3.78s/it] 6%|▋ | 5/80 [00:19<04:50, 3.88s/it] 8%|▊ | 6/80 [00:23<04:48, 3.90s/it] 9%|▉ | 7/80 [00:27<04:45, 3.91s/it] 10%|█ | 8/80 [00:30<04:38, 3.86s/it] 11%|█▏ | 9/80 [00:34<04:33, 3.85s/it] 12%|█▎ | 10/80 [00:38<04:32, 3.89s/it] 14%|█▍ | 11/80 [00:42<04:27, 3.87s/it] 15%|█▌ | 12/80 [00:46<04:25, 3.90s/it] 16%|█▋ | 13/80 [00:50<04:12, 3.77s/it] 18%|█▊ | 14/80 [00:53<04:11, 3.81s/it] 19%|█▉ | 15/80 [00:57<04:09, 3.84s/it] 20%|██ | 16/80 [01:01<04:01, 3.77s/it] 21%|██▏ | 17/80 [01:04<03:48, 3.63s/it] 22%|██▎ | 18/80 [01:08<03:47, 3.66s/it] 24%|██▍ | 19/80 [01:11<03:40, 3.61s/it] 25%|██▌ | 20/80 [01:15<03:39, 3.66s/it] 26%|██▋ | 21/80 [01:19<03:33, 3.62s/it] 28%|██▊ | 22/80 [01:23<03:36, 3.73s/it] 29%|██▉ | 23/80 [01:27<03:33, 3.75s/it] 30%|███ | 24/80 [01:30<03:27, 3.70s/it] 31%|███▏ | 25/80 [01:34<03:32, 3.86s/it] 32%|███▎ | 26/80 [01:38<03:22, 3.76s/it] 34%|███▍ | 27/80 [01:41<03:15, 3.68s/it] 35%|███▌ | 28/80 [01:45<03:14, 3.74s/it] 36%|███▋ | 29/80 [01:49<03:07, 3.68s/it] 38%|███▊ | 30/80 [01:53<03:04, 3.69s/it] 39%|███▉ | 31/80 [01:56<02:56, 3.61s/it] 40%|████ | 32/80 [02:00<02:54, 3.65s/it] 41%|████▏ | 33/80 [02:03<02:49, 3.61s/it] 42%|████▎ | 34/80 [02:07<02:47, 3.63s/it] 44%|████▍ | 35/80 [02:10<02:41, 3.59s/it] 45%|████▌ | 36/80 [02:14<02:33, 3.48s/it] 46%|████▋ | 37/80 [02:17<02:34, 3.59s/it] 48%|████▊ | 38/80 [02:21<02:31, 3.60s/it] 49%|████▉ | 39/80 [02:25<02:26, 3.58s/it] 50%|█████ | 40/80 [02:28<02:25, 3.64s/it] 51%|█████▏ | 41/80 [02:32<02:20, 3.61s/it] 52%|█████▎ | 42/80 [02:36<02:18, 3.64s/it] 54%|█████▍ | 43/80 [02:39<02:16, 3.68s/it] 55%|█████▌ | 44/80 [02:43<02:10, 3.64s/it] 56%|█████▋ | 45/80 [02:47<02:08, 3.67s/it] 57%|█████▊ | 46/80 [02:50<02:05, 3.69s/it] 59%|█████▉ | 47/80 [02:54<01:56, 3.54s/it] 60%|██████ | 48/80 [02:57<01:54, 3.57s/it] 61%|██████▏ | 49/80 [03:01<01:50, 3.57s/it] 62%|██████▎ | 50/80 [03:05<01:47, 3.60s/it] 64%|██████▍ | 51/80 [03:08<01:42, 3.55s/it] 65%|██████▌ | 52/80 [03:12<01:39, 3.57s/it] 66%|██████▋ | 53/80 [03:15<01:36, 3.57s/it] 68%|██████▊ | 54/80 [03:19<01:32, 3.56s/it] 69%|██████▉ | 55/80 [03:22<01:26, 3.48s/it] 70%|███████ | 56/80 [03:25<01:23, 3.48s/it] 71%|███████▏ | 57/80 [03:29<01:18, 3.39s/it] 72%|███████▎ | 58/80 [03:32<01:14, 3.40s/it] 74%|███████▍ | 59/80 [03:36<01:11, 3.43s/it] 75%|███████▌ | 60/80 [03:39<01:09, 3.48s/it] 76%|███████▋ | 61/80 [03:43<01:08, 3.58s/it] 78%|███████▊ | 62/80 [03:46<01:03, 3.51s/it] 79%|███████▉ | 63/80 [03:50<01:00, 3.57s/it] 80%|████████ | 64/80 [03:53<00:56, 3.50s/it] 81%|████████▏ | 65/80 [03:57<00:53, 3.55s/it] 82%|████████▎ | 66/80 [04:00<00:49, 3.51s/it] 84%|████████▍ | 67/80 [04:04<00:46, 3.54s/it] 85%|████████▌ | 68/80 [04:08<00:43, 3.58s/it] 86%|████████▋ | 69/80 [04:11<00:39, 3.56s/it] 88%|████████▊ | 70/80 [04:15<00:34, 3.47s/it] 89%|████████▉ | 71/80 [04:18<00:31, 3.55s/it] 90%|█████████ | 72/80 [04:22<00:28, 3.50s/it] 91%|█████████▏| 73/80 [04:25<00:23, 3.41s/it] 92%|█████████▎| 74/80 [04:28<00:20, 3.40s/it] 94%|█████████▍| 75/80 [04:32<00:17, 3.45s/it] 95%|█████████▌| 76/80 [04:35<00:13, 3.43s/it] 96%|█████████▋| 77/80 [04:38<00:10, 3.34s/it] 98%|█████████▊| 78/80 [04:42<00:06, 3.38s/it] 99%|█████████▉| 79/80 [04:44<00:03, 3.08s/it] 100%|██████████| 80/80 [04:46<00:00, 2.71s/it] 100%|██████████| 80/80 [04:46<00:00, 3.58s/it] Decoding latents in cuda:0... done in 3.3s Move latents to cpu... done in 0.04s Finished.