DnD with Halcyon SDXL v1.5
Input
prompt
Specify things to see in the output
an enormous large living real magical Dungeons & Dragons tabletop board game with Warhammer hero miniature (action figurines:1.1), Magic the Gathering game cards, tilt shift lens effect, monster miniatures, torn and worn, map looks to be floating off the paper, sitting on a worn vintage wooden wizard's desk, magical multicolored ink, high quality, imagination, 8k, fantasy art, vivid magical colors, colorful gaming dice, World of Warcraft, Lord of the Rings, depth of field, bokeh
negative_prompt
Specify things to not see in the output
blurry, easynegative, cartoon, cluttered, blurry, bad quality, low quality, worst quality, dice
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.35
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.
710819073
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 Karras
samping_steps
Number of denoising steps
36
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
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/772b7df4eba041bea6b87b9b2bb3230d/00000-710819073.webp
https://files.tungsten.run/uploads/81df8f0609b34263b667b968deb481f9/00001-710819074.webp
https://files.tungsten.run/uploads/0a3c5315de3d460c9b4d424038e91d62/00002-710819075.webp
Finished in 63.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: an enormous large living real magical Dungeons & Dragons tabletop board game with Warhammer hero miniature (action figurines:1.1), Magic the Gathering game cards, tilt shift lens effect, monster miniatures, torn and worn, map looks to be floating off the paper, sitting on a worn vintage wooden wizard's desk, magical multicolored ink, high quality, imagination, 8k, fantasy art, vivid magical colors, colorful gaming dice, World of Warcraft, Lord of the Rings, depth of field, bokeh, <lora:add-detail-xl:1.0> Full negative prompt: blurry, easynegative, cartoon, cluttered, blurry, bad quality, low quality, worst quality, dice 0%| | 0/36 [00:00<?, ?it/s] 3%|▎ | 1/36 [00:02<01:37, 2.78s/it] 6%|▌ | 2/36 [00:04<01:08, 2.02s/it] 8%|▊ | 3/36 [00:05<00:58, 1.77s/it] 11%|█ | 4/36 [00:07<00:53, 1.66s/it] 14%|█▍ | 5/36 [00:08<00:49, 1.59s/it] 17%|█▋ | 6/36 [00:10<00:46, 1.56s/it] 19%|█▉ | 7/36 [00:11<00:44, 1.54s/it] 22%|██▏ | 8/36 [00:13<00:42, 1.52s/it] 25%|██▌ | 9/36 [00:14<00:40, 1.51s/it] 28%|██▊ | 10/36 [00:16<00:39, 1.51s/it] 31%|███ | 11/36 [00:17<00:37, 1.51s/it] 33%|███▎ | 12/36 [00:19<00:36, 1.51s/it] 36%|███▌ | 13/36 [00:20<00:34, 1.51s/it] 39%|███▉ | 14/36 [00:22<00:33, 1.51s/it] 42%|████▏ | 15/36 [00:23<00:31, 1.52s/it] 44%|████▍ | 16/36 [00:25<00:30, 1.52s/it] 47%|████▋ | 17/36 [00:26<00:28, 1.52s/it] 50%|█████ | 18/36 [00:28<00:27, 1.53s/it] 53%|█████▎ | 19/36 [00:29<00:26, 1.53s/it] 56%|█████▌ | 20/36 [00:31<00:24, 1.54s/it] 58%|█████▊ | 21/36 [00:33<00:23, 1.55s/it] 61%|██████ | 22/36 [00:34<00:21, 1.56s/it] 64%|██████▍ | 23/36 [00:36<00:20, 1.56s/it] 67%|██████▋ | 24/36 [00:37<00:18, 1.57s/it] 69%|██████▉ | 25/36 [00:39<00:17, 1.57s/it] 72%|███████▏ | 26/36 [00:40<00:15, 1.57s/it] 75%|███████▌ | 27/36 [00:42<00:14, 1.57s/it] 78%|███████▊ | 28/36 [00:44<00:12, 1.57s/it] 81%|████████ | 29/36 [00:45<00:10, 1.57s/it] 83%|████████▎ | 30/36 [00:47<00:09, 1.57s/it] 86%|████████▌ | 31/36 [00:48<00:07, 1.56s/it] 89%|████████▉ | 32/36 [00:50<00:06, 1.56s/it] 92%|█████████▏| 33/36 [00:51<00:04, 1.56s/it] 94%|█████████▍| 34/36 [00:53<00:03, 1.56s/it] 97%|█████████▋| 35/36 [00:54<00:01, 1.55s/it] 100%|██████████| 36/36 [00:56<00:00, 1.55s/it] 100%|██████████| 36/36 [00:56<00:00, 1.57s/it] Decoding latents in cuda:0... done in 2.87s Move latents to cpu... done in 0.04s
prompt
Specify things to see in the output
an enormous large living real magical Dungeons & Dragons tabletop board game with Warhammer hero miniature (action figurines:1.1), Magic the Gathering game cards, tilt shift lens effect, monster miniatures, torn and worn, map looks to be floating off the paper, sitting on a worn vintage wooden wizard's desk, magical multicolored ink, high quality, imagination, 8k, fantasy art, vivid magical colors, colorful gaming dice, World of Warcraft, Lord of the Rings, depth of field, bokeh
negative_prompt
Specify things to not see in the output
blurry, easynegative, cartoon, cluttered, blurry, bad quality, low quality, worst quality, dice
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.35
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.
710819073
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 Karras
samping_steps
Number of denoising steps
36
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
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/772b7df4eba041bea6b87b9b2bb3230d/00000-710819073.webp
https://files.tungsten.run/uploads/81df8f0609b34263b667b968deb481f9/00001-710819074.webp
https://files.tungsten.run/uploads/0a3c5315de3d460c9b4d424038e91d62/00002-710819075.webp
Finished in 63.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: an enormous large living real magical Dungeons & Dragons tabletop board game with Warhammer hero miniature (action figurines:1.1), Magic the Gathering game cards, tilt shift lens effect, monster miniatures, torn and worn, map looks to be floating off the paper, sitting on a worn vintage wooden wizard's desk, magical multicolored ink, high quality, imagination, 8k, fantasy art, vivid magical colors, colorful gaming dice, World of Warcraft, Lord of the Rings, depth of field, bokeh, <lora:add-detail-xl:1.0> Full negative prompt: blurry, easynegative, cartoon, cluttered, blurry, bad quality, low quality, worst quality, dice 0%| | 0/36 [00:00<?, ?it/s] 3%|▎ | 1/36 [00:02<01:37, 2.78s/it] 6%|▌ | 2/36 [00:04<01:08, 2.02s/it] 8%|▊ | 3/36 [00:05<00:58, 1.77s/it] 11%|█ | 4/36 [00:07<00:53, 1.66s/it] 14%|█▍ | 5/36 [00:08<00:49, 1.59s/it] 17%|█▋ | 6/36 [00:10<00:46, 1.56s/it] 19%|█▉ | 7/36 [00:11<00:44, 1.54s/it] 22%|██▏ | 8/36 [00:13<00:42, 1.52s/it] 25%|██▌ | 9/36 [00:14<00:40, 1.51s/it] 28%|██▊ | 10/36 [00:16<00:39, 1.51s/it] 31%|███ | 11/36 [00:17<00:37, 1.51s/it] 33%|███▎ | 12/36 [00:19<00:36, 1.51s/it] 36%|███▌ | 13/36 [00:20<00:34, 1.51s/it] 39%|███▉ | 14/36 [00:22<00:33, 1.51s/it] 42%|████▏ | 15/36 [00:23<00:31, 1.52s/it] 44%|████▍ | 16/36 [00:25<00:30, 1.52s/it] 47%|████▋ | 17/36 [00:26<00:28, 1.52s/it] 50%|█████ | 18/36 [00:28<00:27, 1.53s/it] 53%|█████▎ | 19/36 [00:29<00:26, 1.53s/it] 56%|█████▌ | 20/36 [00:31<00:24, 1.54s/it] 58%|█████▊ | 21/36 [00:33<00:23, 1.55s/it] 61%|██████ | 22/36 [00:34<00:21, 1.56s/it] 64%|██████▍ | 23/36 [00:36<00:20, 1.56s/it] 67%|██████▋ | 24/36 [00:37<00:18, 1.57s/it] 69%|██████▉ | 25/36 [00:39<00:17, 1.57s/it] 72%|███████▏ | 26/36 [00:40<00:15, 1.57s/it] 75%|███████▌ | 27/36 [00:42<00:14, 1.57s/it] 78%|███████▊ | 28/36 [00:44<00:12, 1.57s/it] 81%|████████ | 29/36 [00:45<00:10, 1.57s/it] 83%|████████▎ | 30/36 [00:47<00:09, 1.57s/it] 86%|████████▌ | 31/36 [00:48<00:07, 1.56s/it] 89%|████████▉ | 32/36 [00:50<00:06, 1.56s/it] 92%|█████████▏| 33/36 [00:51<00:04, 1.56s/it] 94%|█████████▍| 34/36 [00:53<00:03, 1.56s/it] 97%|█████████▋| 35/36 [00:54<00:01, 1.55s/it] 100%|██████████| 36/36 [00:56<00:00, 1.55s/it] 100%|██████████| 36/36 [00:56<00:00, 1.57s/it] Decoding latents in cuda:0... done in 2.87s Move latents to cpu... done in 0.04s