tungsten-logo
Sign In
Can't Wait For Halloween with Fantastique SDXL
fantastique-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Jun 10
9
Input
prompt
Specify things to see in the output
1 witch, text: ("cant wait for halloween")
negative_prompt
Specify things to not see in the output
incomplete, multiple, duplicate, many, watermark, signature, title, copyright, artist name, condom, stray fingers, extra limbs
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
60
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 Karras
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
4.5
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/5812a8277f3c4acdb707dbb0c61072cb/00000-60.webp
https://files.tungsten.run/uploads/ce0dd1d1cf994f0e90ba95a667fcec2b/00001-61.webp
https://files.tungsten.run/uploads/dfeca7e370bf4470aea7a918bcde8d94/00002-62.webp
Finished in 163.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: 1 witch, text: ("cant wait for halloween") Full negative prompt: incomplete, multiple, duplicate, many, watermark, signature, title, copyright, artist name, condom, stray fingers, extra limbs 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:01<01:27, 1.49s/it] 3%|▎ | 2/60 [00:03<01:44, 1.79s/it] 5%|▌ | 3/60 [00:05<01:46, 1.86s/it] 7%|▋ | 4/60 [00:07<01:45, 1.88s/it] 8%|▊ | 5/60 [00:09<01:45, 1.92s/it] 10%|█ | 6/60 [00:11<01:44, 1.93s/it] 12%|█▏ | 7/60 [00:13<01:40, 1.91s/it] 13%|█▎ | 8/60 [00:14<01:36, 1.85s/it] 15%|█▌ | 9/60 [00:16<01:34, 1.86s/it] 17%|█▋ | 10/60 [00:18<01:32, 1.85s/it] 18%|█▊ | 11/60 [00:20<01:32, 1.89s/it] 20%|██ | 12/60 [00:22<01:31, 1.91s/it] 22%|██▏ | 13/60 [00:24<01:29, 1.90s/it] 23%|██▎ | 14/60 [00:26<01:29, 1.96s/it] 25%|██▌ | 15/60 [00:28<01:26, 1.92s/it] 27%|██▋ | 16/60 [00:30<01:25, 1.94s/it] 28%|██▊ | 17/60 [00:32<01:21, 1.89s/it] 30%|███ | 18/60 [00:33<01:17, 1.84s/it] 32%|███▏ | 19/60 [00:35<01:13, 1.79s/it] 33%|███▎ | 20/60 [00:37<01:11, 1.80s/it] 35%|███▌ | 21/60 [00:39<01:10, 1.80s/it] 37%|███▋ | 22/60 [00:41<01:10, 1.86s/it] 38%|███▊ | 23/60 [00:42<01:07, 1.83s/it] 40%|████ | 24/60 [00:44<01:06, 1.85s/it] 42%|████▏ | 25/60 [00:46<01:03, 1.82s/it] 43%|████▎ | 26/60 [00:48<01:01, 1.82s/it] 45%|████▌ | 27/60 [00:50<01:00, 1.85s/it] 47%|████▋ | 28/60 [00:52<00:59, 1.86s/it] 48%|████▊ | 29/60 [00:53<00:56, 1.82s/it] 50%|█████ | 30/60 [00:55<00:54, 1.83s/it] 52%|█████▏ | 31/60 [00:57<00:52, 1.81s/it] 53%|█████▎ | 32/60 [00:59<00:50, 1.81s/it] 55%|█████▌ | 33/60 [01:01<00:49, 1.82s/it] 57%|█████▋ | 34/60 [01:03<00:47, 1.84s/it] 58%|█████▊ | 35/60 [01:04<00:45, 1.84s/it] 60%|██████ | 36/60 [01:06<00:43, 1.83s/it] 62%|██████▏ | 37/60 [01:08<00:41, 1.79s/it] 63%|██████▎ | 38/60 [01:10<00:39, 1.81s/it] 65%|██████▌ | 39/60 [01:11<00:37, 1.79s/it] 67%|██████▋ | 40/60 [01:13<00:35, 1.80s/it] 68%|██████▊ | 41/60 [01:15<00:33, 1.78s/it] 70%|███████ | 42/60 [01:17<00:32, 1.81s/it] 72%|███████▏ | 43/60 [01:19<00:30, 1.78s/it] 73%|███████▎ | 44/60 [01:20<00:28, 1.77s/it] 75%|███████▌ | 45/60 [01:22<00:26, 1.77s/it] 77%|███████▋ | 46/60 [01:24<00:24, 1.76s/it] 78%|███████▊ | 47/60 [01:26<00:23, 1.79s/it] 80%|████████ | 48/60 [01:27<00:20, 1.75s/it] 82%|████████▏ | 49/60 [01:29<00:18, 1.64s/it] 83%|████████▎ | 50/60 [01:30<00:16, 1.65s/it] 85%|████████▌ | 51/60 [01:32<00:14, 1.65s/it] 87%|████████▋ | 52/60 [01:34<00:13, 1.68s/it] 88%|████████▊ | 53/60 [01:35<00:11, 1.66s/it] 90%|█████████ | 54/60 [01:37<00:09, 1.66s/it] 92%|█████████▏| 55/60 [01:39<00:08, 1.61s/it] 93%|█████████▎| 56/60 [01:40<00:06, 1.64s/it] 95%|█████████▌| 57/60 [01:42<00:04, 1.63s/it] 97%|█████████▋| 58/60 [01:43<00:03, 1.58s/it] 98%|█████████▊| 59/60 [01:44<00:01, 1.40s/it] 100%|██████████| 60/60 [01:45<00:00, 1.24s/it] 100%|██████████| 60/60 [01:45<00:00, 1.76s/it] Decoding latents in cuda:0... done in 1.66s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 120.5ms Speed: 2.0ms preprocess, 120.5ms inference, 13.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:18, 1.49it/s] 7%|▋ | 2/28 [00:01<00:16, 1.58it/s] 11%|█ | 3/28 [00:01<00:15, 1.62it/s] 14%|█▍ | 4/28 [00:02<00:14, 1.65it/s] 18%|█▊ | 5/28 [00:03<00:13, 1.71it/s] 21%|██▏ | 6/28 [00:03<00:12, 1.70it/s] 25%|██▌ | 7/28 [00:04<00:12, 1.72it/s] 29%|██▊ | 8/28 [00:04<00:11, 1.72it/s] 32%|███▏ | 9/28 [00:05<00:10, 1.74it/s] 36%|███▌ | 10/28 [00:05<00:10, 1.71it/s] 39%|███▉ | 11/28 [00:06<00:09, 1.74it/s] 43%|████▎ | 12/28 [00:07<00:09, 1.76it/s] 46%|████▋ | 13/28 [00:07<00:08, 1.74it/s] 50%|█████ | 14/28 [00:08<00:07, 1.75it/s] 54%|█████▎ | 15/28 [00:08<00:07, 1.72it/s] 57%|█████▋ | 16/28 [00:09<00:06, 1.75it/s] 61%|██████ | 17/28 [00:09<00:05, 1.87it/s] 64%|██████▍ | 18/28 [00:10<00:05, 1.87it/s] 68%|██████▊ | 19/28 [00:10<00:04, 1.87it/s] 71%|███████▏ | 20/28 [00:11<00:04, 1.83it/s] 75%|███████▌ | 21/28 [00:11<00:03, 1.85it/s] 79%|███████▊ | 22/28 [00:12<00:03, 1.85it/s] 82%|████████▏ | 23/28 [00:12<00:02, 1.91it/s] 86%|████████▌ | 24/28 [00:13<00:02, 1.88it/s] 89%|████████▉ | 25/28 [00:14<00:01, 1.89it/s] 93%|█████████▎| 26/28 [00:14<00:01, 1.96it/s] 96%|█████████▋| 27/28 [00:14<00:00, 2.23it/s] 100%|██████████| 28/28 [00:15<00:00, 2.52it/s] 100%|██████████| 28/28 [00:15<00:00, 1.85it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 6.0ms Speed: 1.8ms preprocess, 6.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480)
prompt
Specify things to see in the output
1 witch, text: ("cant wait for halloween")
negative_prompt
Specify things to not see in the output
incomplete, multiple, duplicate, many, watermark, signature, title, copyright, artist name, condom, stray fingers, extra limbs
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
60
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 Karras
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
4.5
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/5812a8277f3c4acdb707dbb0c61072cb/00000-60.webp
https://files.tungsten.run/uploads/ce0dd1d1cf994f0e90ba95a667fcec2b/00001-61.webp
https://files.tungsten.run/uploads/dfeca7e370bf4470aea7a918bcde8d94/00002-62.webp
Finished in 163.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: 1 witch, text: ("cant wait for halloween") Full negative prompt: incomplete, multiple, duplicate, many, watermark, signature, title, copyright, artist name, condom, stray fingers, extra limbs 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:01<01:27, 1.49s/it] 3%|▎ | 2/60 [00:03<01:44, 1.79s/it] 5%|▌ | 3/60 [00:05<01:46, 1.86s/it] 7%|▋ | 4/60 [00:07<01:45, 1.88s/it] 8%|▊ | 5/60 [00:09<01:45, 1.92s/it] 10%|█ | 6/60 [00:11<01:44, 1.93s/it] 12%|█▏ | 7/60 [00:13<01:40, 1.91s/it] 13%|█▎ | 8/60 [00:14<01:36, 1.85s/it] 15%|█▌ | 9/60 [00:16<01:34, 1.86s/it] 17%|█▋ | 10/60 [00:18<01:32, 1.85s/it] 18%|█▊ | 11/60 [00:20<01:32, 1.89s/it] 20%|██ | 12/60 [00:22<01:31, 1.91s/it] 22%|██▏ | 13/60 [00:24<01:29, 1.90s/it] 23%|██▎ | 14/60 [00:26<01:29, 1.96s/it] 25%|██▌ | 15/60 [00:28<01:26, 1.92s/it] 27%|██▋ | 16/60 [00:30<01:25, 1.94s/it] 28%|██▊ | 17/60 [00:32<01:21, 1.89s/it] 30%|███ | 18/60 [00:33<01:17, 1.84s/it] 32%|███▏ | 19/60 [00:35<01:13, 1.79s/it] 33%|███▎ | 20/60 [00:37<01:11, 1.80s/it] 35%|███▌ | 21/60 [00:39<01:10, 1.80s/it] 37%|███▋ | 22/60 [00:41<01:10, 1.86s/it] 38%|███▊ | 23/60 [00:42<01:07, 1.83s/it] 40%|████ | 24/60 [00:44<01:06, 1.85s/it] 42%|████▏ | 25/60 [00:46<01:03, 1.82s/it] 43%|████▎ | 26/60 [00:48<01:01, 1.82s/it] 45%|████▌ | 27/60 [00:50<01:00, 1.85s/it] 47%|████▋ | 28/60 [00:52<00:59, 1.86s/it] 48%|████▊ | 29/60 [00:53<00:56, 1.82s/it] 50%|█████ | 30/60 [00:55<00:54, 1.83s/it] 52%|█████▏ | 31/60 [00:57<00:52, 1.81s/it] 53%|█████▎ | 32/60 [00:59<00:50, 1.81s/it] 55%|█████▌ | 33/60 [01:01<00:49, 1.82s/it] 57%|█████▋ | 34/60 [01:03<00:47, 1.84s/it] 58%|█████▊ | 35/60 [01:04<00:45, 1.84s/it] 60%|██████ | 36/60 [01:06<00:43, 1.83s/it] 62%|██████▏ | 37/60 [01:08<00:41, 1.79s/it] 63%|██████▎ | 38/60 [01:10<00:39, 1.81s/it] 65%|██████▌ | 39/60 [01:11<00:37, 1.79s/it] 67%|██████▋ | 40/60 [01:13<00:35, 1.80s/it] 68%|██████▊ | 41/60 [01:15<00:33, 1.78s/it] 70%|███████ | 42/60 [01:17<00:32, 1.81s/it] 72%|███████▏ | 43/60 [01:19<00:30, 1.78s/it] 73%|███████▎ | 44/60 [01:20<00:28, 1.77s/it] 75%|███████▌ | 45/60 [01:22<00:26, 1.77s/it] 77%|███████▋ | 46/60 [01:24<00:24, 1.76s/it] 78%|███████▊ | 47/60 [01:26<00:23, 1.79s/it] 80%|████████ | 48/60 [01:27<00:20, 1.75s/it] 82%|████████▏ | 49/60 [01:29<00:18, 1.64s/it] 83%|████████▎ | 50/60 [01:30<00:16, 1.65s/it] 85%|████████▌ | 51/60 [01:32<00:14, 1.65s/it] 87%|████████▋ | 52/60 [01:34<00:13, 1.68s/it] 88%|████████▊ | 53/60 [01:35<00:11, 1.66s/it] 90%|█████████ | 54/60 [01:37<00:09, 1.66s/it] 92%|█████████▏| 55/60 [01:39<00:08, 1.61s/it] 93%|█████████▎| 56/60 [01:40<00:06, 1.64s/it] 95%|█████████▌| 57/60 [01:42<00:04, 1.63s/it] 97%|█████████▋| 58/60 [01:43<00:03, 1.58s/it] 98%|█████████▊| 59/60 [01:44<00:01, 1.40s/it] 100%|██████████| 60/60 [01:45<00:00, 1.24s/it] 100%|██████████| 60/60 [01:45<00:00, 1.76s/it] Decoding latents in cuda:0... done in 1.66s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 120.5ms Speed: 2.0ms preprocess, 120.5ms inference, 13.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:18, 1.49it/s] 7%|▋ | 2/28 [00:01<00:16, 1.58it/s] 11%|█ | 3/28 [00:01<00:15, 1.62it/s] 14%|█▍ | 4/28 [00:02<00:14, 1.65it/s] 18%|█▊ | 5/28 [00:03<00:13, 1.71it/s] 21%|██▏ | 6/28 [00:03<00:12, 1.70it/s] 25%|██▌ | 7/28 [00:04<00:12, 1.72it/s] 29%|██▊ | 8/28 [00:04<00:11, 1.72it/s] 32%|███▏ | 9/28 [00:05<00:10, 1.74it/s] 36%|███▌ | 10/28 [00:05<00:10, 1.71it/s] 39%|███▉ | 11/28 [00:06<00:09, 1.74it/s] 43%|████▎ | 12/28 [00:07<00:09, 1.76it/s] 46%|████▋ | 13/28 [00:07<00:08, 1.74it/s] 50%|█████ | 14/28 [00:08<00:07, 1.75it/s] 54%|█████▎ | 15/28 [00:08<00:07, 1.72it/s] 57%|█████▋ | 16/28 [00:09<00:06, 1.75it/s] 61%|██████ | 17/28 [00:09<00:05, 1.87it/s] 64%|██████▍ | 18/28 [00:10<00:05, 1.87it/s] 68%|██████▊ | 19/28 [00:10<00:04, 1.87it/s] 71%|███████▏ | 20/28 [00:11<00:04, 1.83it/s] 75%|███████▌ | 21/28 [00:11<00:03, 1.85it/s] 79%|███████▊ | 22/28 [00:12<00:03, 1.85it/s] 82%|████████▏ | 23/28 [00:12<00:02, 1.91it/s] 86%|████████▌ | 24/28 [00:13<00:02, 1.88it/s] 89%|████████▉ | 25/28 [00:14<00:01, 1.89it/s] 93%|█████████▎| 26/28 [00:14<00:01, 1.96it/s] 96%|█████████▋| 27/28 [00:14<00:00, 2.23it/s] 100%|██████████| 28/28 [00:15<00:00, 2.52it/s] 100%|██████████| 28/28 [00:15<00:00, 1.85it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 6.0ms Speed: 1.8ms preprocess, 6.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480)