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Dreamcatcher Gateway with HotArt 3 SPO
HotArt:3SPO
sparks
sparks
·
Jul 9
3
Input
prompt
Specify things to see in the output
Dreamcatcher Gateway: A mystical scene depicts an enormous, intricately woven dreamcatcher. A staircase sculpted into its slumbering form leads upward towards a shimmering portal in the night sky. (style: mystical, evocative)
negative_prompt
Specify things to not see in the output
ugly, bad, wrong, boring, simple, plain,
EnvyAwesomizeXL01
Envy Awesomize Xl01
2
detailer_xl
Detailer Xl
1
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
0.4
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.
777777777
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 adaptive
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
2
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/2a9f4dfec9734836b6ae61186a619f4c/output-c14c29e0459e4216b4113631f0fe7132-00000-777777777.webp
https://files.tungsten.run/uploads/c96677c683aa4d148d0d5a4c4f178ef1/output-8d95e154c5e44d99ae7f5c8becc102f0-00001-777777778.webp
https://files.tungsten.run/uploads/09810c4e15404111a544604af9e42d7a/output-3fe52754e0e64dc0832148dbc618762e-00002-777777779.webp
Finished in 158.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Dreamcatcher Gateway: A mystical scene depicts an enormous, intricately woven dreamcatcher. A staircase sculpted into its slumbering form leads upward towards a shimmering portal in the night sky. (style: mystical, evocative), <lora:detailer-xl:1.0>, <lora:EnvyAwesomizeXL01:2.0> Full negative prompt: ugly, bad, wrong, boring, simple, plain, 0it [00:00, ?it/s] 1it [00:00, 1.13it/s] 2it [00:01, 1.12it/s] 3it [00:02, 1.11it/s] 4it [00:03, 1.09it/s] 5it [00:04, 1.09it/s] 6it [00:05, 1.09it/s] 7it [00:06, 1.09it/s] 8it [00:07, 1.09it/s] 9it [00:08, 1.09it/s] 10it [00:09, 1.09it/s] 11it [00:10, 1.09it/s] 12it [00:11, 1.08it/s] 13it [00:11, 1.08it/s] 14it [00:12, 1.08it/s] 15it [00:13, 1.08it/s] 16it [00:14, 1.08it/s] 17it [00:15, 1.08it/s] 18it [00:16, 1.08it/s] 19it [00:17, 1.07it/s] 20it [00:18, 1.08it/s] 21it [00:19, 1.08it/s] 22it [00:20, 1.08it/s] 23it [00:21, 1.08it/s] 24it [00:22, 1.08it/s] 25it [00:23, 1.07it/s] 26it [00:24, 1.08it/s] 27it [00:24, 1.08it/s] 28it [00:25, 1.07it/s] 29it [00:26, 1.07it/s] 30it [00:27, 1.07it/s] 31it [00:28, 1.08it/s] 32it [00:29, 1.08it/s] 33it [00:30, 1.08it/s] 34it [00:31, 1.07it/s] 35it [00:32, 1.08it/s] 36it [00:33, 1.08it/s] 37it [00:34, 1.08it/s] 38it [00:35, 1.08it/s] 39it [00:36, 1.08it/s] 40it [00:37, 1.07it/s] 41it [00:37, 1.08it/s] 42it [00:38, 1.08it/s] 43it [00:39, 1.08it/s] 44it [00:40, 1.08it/s] 45it [00:41, 1.08it/s] 46it [00:42, 1.08it/s] 47it [00:43, 1.08it/s] 48it [00:44, 1.08it/s] 49it [00:45, 1.08it/s] 50it [00:46, 1.08it/s] 51it [00:47, 1.08it/s] 52it [00:48, 1.08it/s] 53it [00:49, 1.08it/s] 54it [00:50, 1.08it/s] 55it [00:50, 1.08it/s] 56it [00:51, 1.08it/s] 57it [00:52, 1.08it/s] 58it [00:53, 1.07it/s] 59it [00:54, 1.08it/s] 60it [00:55, 1.08it/s] 61it [00:56, 1.08it/s] 62it [00:57, 1.08it/s] 63it [00:58, 1.08it/s] 64it [00:59, 1.08it/s] 65it [01:00, 1.08it/s] 66it [01:01, 1.08it/s] 67it [01:02, 1.08it/s] 68it [01:02, 1.08it/s] 69it [01:03, 1.08it/s] 70it [01:04, 1.08it/s] 71it [01:05, 1.08it/s] 72it [01:06, 1.08it/s] 73it [01:07, 1.08it/s] 74it [01:08, 1.08it/s] 75it [01:09, 1.08it/s] 76it [01:10, 1.08it/s] 77it [01:11, 1.08it/s] 78it [01:12, 1.08it/s] 79it [01:13, 1.08it/s] 80it [01:14, 1.08it/s] 81it [01:15, 1.08it/s] 82it [01:15, 1.07it/s] 83it [01:16, 1.07it/s] 84it [01:17, 1.08it/s] 85it [01:18, 1.08it/s] 86it [01:19, 1.08it/s] 87it [01:20, 1.08it/s] 88it [01:21, 1.07it/s] 89it [01:22, 1.07it/s] 90it [01:23, 1.07it/s] 91it [01:24, 1.07it/s] 92it [01:25, 1.07it/s] 93it [01:26, 1.07it/s] 94it [01:27, 1.07it/s] 95it [01:28, 1.07it/s] 96it [01:29, 1.07it/s] 97it [01:29, 1.07it/s] 98it [01:30, 1.07it/s] 99it [01:31, 1.07it/s] 100it [01:32, 1.07it/s] 101it [01:33, 1.07it/s] 102it [01:34, 1.06it/s] 103it [01:35, 1.06it/s] 104it [01:36, 1.06it/s] 105it [01:37, 1.06it/s] 106it [01:38, 1.05it/s] 107it [01:39, 1.06it/s] 108it [01:40, 1.06it/s] 109it [01:41, 1.06it/s] 110it [01:42, 1.06it/s] 111it [01:43, 1.06it/s] 112it [01:44, 1.05it/s] 113it [01:45, 1.06it/s] 114it [01:46, 1.06it/s] 115it [01:46, 1.05it/s] 116it [01:47, 1.05it/s] 117it [01:48, 1.05it/s] 118it [01:49, 1.05it/s] 119it [01:50, 1.05it/s] 120it [01:51, 1.05it/s] 121it [01:52, 1.05it/s] 122it [01:53, 1.05it/s] 123it [01:54, 1.05it/s] 124it [01:55, 1.05it/s] 125it [01:56, 1.05it/s] 126it [01:57, 1.05it/s] 127it [01:58, 1.05it/s] 128it [01:59, 1.05it/s] 129it [02:00, 1.05it/s] 130it [02:01, 1.05it/s] 131it [02:02, 1.05it/s] 132it [02:03, 1.05it/s] 133it [02:04, 1.04it/s] 134it [02:05, 1.04it/s] 135it [02:06, 1.05it/s] 136it [02:07, 1.04it/s] 137it [02:07, 1.04it/s] 138it [02:08, 1.04it/s] 139it [02:09, 1.04it/s] 140it [02:10, 1.04it/s] 141it [02:11, 1.04it/s] 142it [02:12, 1.04it/s] 143it [02:13, 1.05it/s] 144it [02:14, 1.05it/s] 145it [02:15, 1.04it/s] 146it [02:16, 1.04it/s] 147it [02:17, 1.04it/s] 148it [02:18, 1.04it/s] 149it [02:19, 1.04it/s] 150it [02:20, 1.05it/s] 151it [02:21, 1.05it/s] 152it [02:22, 1.05it/s] 153it [02:23, 1.05it/s] 154it [02:24, 1.04it/s] 155it [02:25, 1.05it/s] 156it [02:26, 1.05it/s] 157it [02:27, 1.04it/s] 158it [02:28, 1.05it/s] 159it [02:29, 1.05it/s] 160it [02:30, 1.05it/s] 161it [02:30, 1.05it/s] 162it [02:31, 1.05it/s] 163it [02:32, 1.04it/s] 164it [02:33, 1.05it/s] 165it [02:34, 1.05it/s] 165it [02:34, 1.07it/s] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.01s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 2 with 1st settings. [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading files.. Finished.
prompt
Specify things to see in the output
Dreamcatcher Gateway: A mystical scene depicts an enormous, intricately woven dreamcatcher. A staircase sculpted into its slumbering form leads upward towards a shimmering portal in the night sky. (style: mystical, evocative)
negative_prompt
Specify things to not see in the output
ugly, bad, wrong, boring, simple, plain,
EnvyAwesomizeXL01
Envy Awesomize Xl01
2
detailer_xl
Detailer Xl
1
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
0.4
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.
777777777
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 adaptive
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
2
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/2a9f4dfec9734836b6ae61186a619f4c/output-c14c29e0459e4216b4113631f0fe7132-00000-777777777.webp
https://files.tungsten.run/uploads/c96677c683aa4d148d0d5a4c4f178ef1/output-8d95e154c5e44d99ae7f5c8becc102f0-00001-777777778.webp
https://files.tungsten.run/uploads/09810c4e15404111a544604af9e42d7a/output-3fe52754e0e64dc0832148dbc618762e-00002-777777779.webp
Finished in 158.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Dreamcatcher Gateway: A mystical scene depicts an enormous, intricately woven dreamcatcher. A staircase sculpted into its slumbering form leads upward towards a shimmering portal in the night sky. (style: mystical, evocative), <lora:detailer-xl:1.0>, <lora:EnvyAwesomizeXL01:2.0> Full negative prompt: ugly, bad, wrong, boring, simple, plain, 0it [00:00, ?it/s] 1it [00:00, 1.13it/s] 2it [00:01, 1.12it/s] 3it [00:02, 1.11it/s] 4it [00:03, 1.09it/s] 5it [00:04, 1.09it/s] 6it [00:05, 1.09it/s] 7it [00:06, 1.09it/s] 8it [00:07, 1.09it/s] 9it [00:08, 1.09it/s] 10it [00:09, 1.09it/s] 11it [00:10, 1.09it/s] 12it [00:11, 1.08it/s] 13it [00:11, 1.08it/s] 14it [00:12, 1.08it/s] 15it [00:13, 1.08it/s] 16it [00:14, 1.08it/s] 17it [00:15, 1.08it/s] 18it [00:16, 1.08it/s] 19it [00:17, 1.07it/s] 20it [00:18, 1.08it/s] 21it [00:19, 1.08it/s] 22it [00:20, 1.08it/s] 23it [00:21, 1.08it/s] 24it [00:22, 1.08it/s] 25it [00:23, 1.07it/s] 26it [00:24, 1.08it/s] 27it [00:24, 1.08it/s] 28it [00:25, 1.07it/s] 29it [00:26, 1.07it/s] 30it [00:27, 1.07it/s] 31it [00:28, 1.08it/s] 32it [00:29, 1.08it/s] 33it [00:30, 1.08it/s] 34it [00:31, 1.07it/s] 35it [00:32, 1.08it/s] 36it [00:33, 1.08it/s] 37it [00:34, 1.08it/s] 38it [00:35, 1.08it/s] 39it [00:36, 1.08it/s] 40it [00:37, 1.07it/s] 41it [00:37, 1.08it/s] 42it [00:38, 1.08it/s] 43it [00:39, 1.08it/s] 44it [00:40, 1.08it/s] 45it [00:41, 1.08it/s] 46it [00:42, 1.08it/s] 47it [00:43, 1.08it/s] 48it [00:44, 1.08it/s] 49it [00:45, 1.08it/s] 50it [00:46, 1.08it/s] 51it [00:47, 1.08it/s] 52it [00:48, 1.08it/s] 53it [00:49, 1.08it/s] 54it [00:50, 1.08it/s] 55it [00:50, 1.08it/s] 56it [00:51, 1.08it/s] 57it [00:52, 1.08it/s] 58it [00:53, 1.07it/s] 59it [00:54, 1.08it/s] 60it [00:55, 1.08it/s] 61it [00:56, 1.08it/s] 62it [00:57, 1.08it/s] 63it [00:58, 1.08it/s] 64it [00:59, 1.08it/s] 65it [01:00, 1.08it/s] 66it [01:01, 1.08it/s] 67it [01:02, 1.08it/s] 68it [01:02, 1.08it/s] 69it [01:03, 1.08it/s] 70it [01:04, 1.08it/s] 71it [01:05, 1.08it/s] 72it [01:06, 1.08it/s] 73it [01:07, 1.08it/s] 74it [01:08, 1.08it/s] 75it [01:09, 1.08it/s] 76it [01:10, 1.08it/s] 77it [01:11, 1.08it/s] 78it [01:12, 1.08it/s] 79it [01:13, 1.08it/s] 80it [01:14, 1.08it/s] 81it [01:15, 1.08it/s] 82it [01:15, 1.07it/s] 83it [01:16, 1.07it/s] 84it [01:17, 1.08it/s] 85it [01:18, 1.08it/s] 86it [01:19, 1.08it/s] 87it [01:20, 1.08it/s] 88it [01:21, 1.07it/s] 89it [01:22, 1.07it/s] 90it [01:23, 1.07it/s] 91it [01:24, 1.07it/s] 92it [01:25, 1.07it/s] 93it [01:26, 1.07it/s] 94it [01:27, 1.07it/s] 95it [01:28, 1.07it/s] 96it [01:29, 1.07it/s] 97it [01:29, 1.07it/s] 98it [01:30, 1.07it/s] 99it [01:31, 1.07it/s] 100it [01:32, 1.07it/s] 101it [01:33, 1.07it/s] 102it [01:34, 1.06it/s] 103it [01:35, 1.06it/s] 104it [01:36, 1.06it/s] 105it [01:37, 1.06it/s] 106it [01:38, 1.05it/s] 107it [01:39, 1.06it/s] 108it [01:40, 1.06it/s] 109it [01:41, 1.06it/s] 110it [01:42, 1.06it/s] 111it [01:43, 1.06it/s] 112it [01:44, 1.05it/s] 113it [01:45, 1.06it/s] 114it [01:46, 1.06it/s] 115it [01:46, 1.05it/s] 116it [01:47, 1.05it/s] 117it [01:48, 1.05it/s] 118it [01:49, 1.05it/s] 119it [01:50, 1.05it/s] 120it [01:51, 1.05it/s] 121it [01:52, 1.05it/s] 122it [01:53, 1.05it/s] 123it [01:54, 1.05it/s] 124it [01:55, 1.05it/s] 125it [01:56, 1.05it/s] 126it [01:57, 1.05it/s] 127it [01:58, 1.05it/s] 128it [01:59, 1.05it/s] 129it [02:00, 1.05it/s] 130it [02:01, 1.05it/s] 131it [02:02, 1.05it/s] 132it [02:03, 1.05it/s] 133it [02:04, 1.04it/s] 134it [02:05, 1.04it/s] 135it [02:06, 1.05it/s] 136it [02:07, 1.04it/s] 137it [02:07, 1.04it/s] 138it [02:08, 1.04it/s] 139it [02:09, 1.04it/s] 140it [02:10, 1.04it/s] 141it [02:11, 1.04it/s] 142it [02:12, 1.04it/s] 143it [02:13, 1.05it/s] 144it [02:14, 1.05it/s] 145it [02:15, 1.04it/s] 146it [02:16, 1.04it/s] 147it [02:17, 1.04it/s] 148it [02:18, 1.04it/s] 149it [02:19, 1.04it/s] 150it [02:20, 1.05it/s] 151it [02:21, 1.05it/s] 152it [02:22, 1.05it/s] 153it [02:23, 1.05it/s] 154it [02:24, 1.04it/s] 155it [02:25, 1.05it/s] 156it [02:26, 1.05it/s] 157it [02:27, 1.04it/s] 158it [02:28, 1.05it/s] 159it [02:29, 1.05it/s] 160it [02:30, 1.05it/s] 161it [02:30, 1.05it/s] 162it [02:31, 1.05it/s] 163it [02:32, 1.04it/s] 164it [02:33, 1.05it/s] 165it [02:34, 1.05it/s] 165it [02:34, 1.07it/s] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.01s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 2 with 1st settings. [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading files.. Finished.