Girl in a Cozy Bedroom with Hephaistos SD XL
Input
prompt
Specify things to see in the output
Christmas scene with a cute white 20 years old girl sitting among christmas decorations, smile, fluffy, lights, holiday atmosphere, ultra-fine, digital painting
negative_prompt
Specify things to not see in the output
bad quality, worst quality, illustration, low contrast
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
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.
1107375052
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 Karras
samping_steps
Number of denoising steps
70
cfg_scale
Scale for classifier-free guidance
7
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
Finished in 413.0 seconds
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Christmas scene with a cute white 20 years old girl sitting among christmas decorations, smile, fluffy, lights, holiday atmosphere, ultra-fine, digital painting
Full negative prompt: bad quality, worst quality, illustration, low contrast
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Uploading outputs...
Finished.
prompt
Specify things to see in the output
Christmas scene with a cute white 20 years old girl sitting among christmas decorations, smile, fluffy, lights, holiday atmosphere, ultra-fine, digital painting
negative_prompt
Specify things to not see in the output
bad quality, worst quality, illustration, low contrast
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
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.
1107375052
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 Karras
samping_steps
Number of denoising steps
70
cfg_scale
Scale for classifier-free guidance
7
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
Finished in 413.0 seconds
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: Christmas scene with a cute white 20 years old girl sitting among christmas decorations, smile, fluffy, lights, holiday atmosphere, ultra-fine, digital painting
Full negative prompt: bad quality, worst quality, illustration, low contrast
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91%|█████████ | 29/32 [00:22<00:02, 1.38it/s]
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100%|██████████| 32/32 [00:23<00:00, 1.80it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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34%|███▍ | 11/32 [00:08<00:16, 1.27it/s]
38%|███▊ | 12/32 [00:09<00:15, 1.26it/s]
41%|████ | 13/32 [00:10<00:15, 1.25it/s]
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59%|█████▉ | 19/32 [00:15<00:10, 1.26it/s]
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66%|██████▌ | 21/32 [00:16<00:08, 1.33it/s]
69%|██████▉ | 22/32 [00:17<00:07, 1.35it/s]
72%|███████▏ | 23/32 [00:18<00:06, 1.31it/s]
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100%|██████████| 32/32 [00:24<00:00, 1.77it/s]
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Decoding latents in cuda:0...
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31%|███▏ | 10/32 [00:08<00:18, 1.22it/s]
34%|███▍ | 11/32 [00:08<00:16, 1.27it/s]
38%|███▊ | 12/32 [00:09<00:16, 1.25it/s]
41%|████ | 13/32 [00:10<00:15, 1.23it/s]
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56%|█████▋ | 18/32 [00:14<00:11, 1.26it/s]
59%|█████▉ | 19/32 [00:15<00:10, 1.26it/s]
62%|██████▎ | 20/32 [00:16<00:09, 1.29it/s]
66%|██████▌ | 21/32 [00:16<00:08, 1.33it/s]
69%|██████▉ | 22/32 [00:17<00:07, 1.35it/s]
72%|███████▏ | 23/32 [00:18<00:06, 1.31it/s]
75%|███████▌ | 24/32 [00:19<00:05, 1.36it/s]
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100%|██████████| 32/32 [00:24<00:00, 1.79it/s]
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Decoding latents in cuda:0...
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25%|██▌ | 8/32 [00:06<00:19, 1.23it/s]
28%|██▊ | 9/32 [00:07<00:18, 1.25it/s]
31%|███▏ | 10/32 [00:08<00:17, 1.25it/s]
34%|███▍ | 11/32 [00:08<00:16, 1.31it/s]
38%|███▊ | 12/32 [00:09<00:15, 1.29it/s]
41%|████ | 13/32 [00:10<00:14, 1.27it/s]
44%|████▍ | 14/32 [00:11<00:14, 1.24it/s]
47%|████▋ | 15/32 [00:11<00:13, 1.26it/s]
50%|█████ | 16/32 [00:12<00:12, 1.25it/s]
53%|█████▎ | 17/32 [00:13<00:11, 1.27it/s]
56%|█████▋ | 18/32 [00:14<00:10, 1.27it/s]
59%|█████▉ | 19/32 [00:15<00:10, 1.28it/s]
62%|██████▎ | 20/32 [00:15<00:09, 1.30it/s]
66%|██████▌ | 21/32 [00:16<00:08, 1.34it/s]
69%|██████▉ | 22/32 [00:17<00:07, 1.36it/s]
72%|███████▏ | 23/32 [00:18<00:06, 1.32it/s]
75%|███████▌ | 24/32 [00:18<00:05, 1.37it/s]
78%|███████▊ | 25/32 [00:19<00:05, 1.35it/s]
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100%|██████████| 32/32 [00:23<00:00, 1.79it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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31%|███▏ | 10/32 [00:08<00:17, 1.23it/s]
34%|███▍ | 11/32 [00:08<00:16, 1.29it/s]
38%|███▊ | 12/32 [00:09<00:15, 1.28it/s]
41%|████ | 13/32 [00:10<00:15, 1.26it/s]
44%|████▍ | 14/32 [00:11<00:14, 1.25it/s]
47%|████▋ | 15/32 [00:11<00:13, 1.27it/s]
50%|█████ | 16/32 [00:12<00:12, 1.26it/s]
53%|█████▎ | 17/32 [00:13<00:11, 1.28it/s]
56%|█████▋ | 18/32 [00:14<00:10, 1.29it/s]
59%|█████▉ | 19/32 [00:15<00:10, 1.29it/s]
62%|██████▎ | 20/32 [00:15<00:09, 1.32it/s]
66%|██████▌ | 21/32 [00:16<00:08, 1.36it/s]
69%|██████▉ | 22/32 [00:17<00:07, 1.37it/s]
72%|███████▏ | 23/32 [00:18<00:06, 1.33it/s]
75%|███████▌ | 24/32 [00:18<00:05, 1.39it/s]
78%|███████▊ | 25/32 [00:19<00:05, 1.37it/s]
81%|████████▏ | 26/32 [00:20<00:04, 1.38it/s]
84%|████████▍ | 27/32 [00:20<00:03, 1.35it/s]
88%|████████▊ | 28/32 [00:21<00:02, 1.42it/s]
91%|█████████ | 29/32 [00:22<00:02, 1.41it/s]
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100%|██████████| 32/32 [00:23<00:00, 1.81it/s]
100%|██████████| 32/32 [00:23<00:00, 1.35it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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31%|███▏ | 10/32 [00:08<00:17, 1.24it/s]
34%|███▍ | 11/32 [00:08<00:16, 1.30it/s]
38%|███▊ | 12/32 [00:09<00:15, 1.29it/s]
41%|████ | 13/32 [00:10<00:14, 1.27it/s]
44%|████▍ | 14/32 [00:11<00:14, 1.25it/s]
47%|████▋ | 15/32 [00:11<00:13, 1.26it/s]
50%|█████ | 16/32 [00:12<00:12, 1.25it/s]
53%|█████▎ | 17/32 [00:13<00:11, 1.26it/s]
56%|█████▋ | 18/32 [00:14<00:10, 1.28it/s]
59%|█████▉ | 19/32 [00:15<00:10, 1.29it/s]
62%|██████▎ | 20/32 [00:15<00:09, 1.31it/s]
66%|██████▌ | 21/32 [00:16<00:08, 1.35it/s]
69%|██████▉ | 22/32 [00:17<00:07, 1.37it/s]
72%|███████▏ | 23/32 [00:18<00:06, 1.32it/s]
75%|███████▌ | 24/32 [00:18<00:05, 1.38it/s]
78%|███████▊ | 25/32 [00:19<00:05, 1.36it/s]
81%|████████▏ | 26/32 [00:20<00:04, 1.38it/s]
84%|████████▍ | 27/32 [00:20<00:03, 1.34it/s]
88%|████████▊ | 28/32 [00:21<00:02, 1.41it/s]
91%|█████████ | 29/32 [00:22<00:02, 1.40it/s]
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100%|██████████| 32/32 [00:23<00:00, 1.80it/s]
100%|██████████| 32/32 [00:23<00:00, 1.35it/s]
Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
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22%|██▏ | 7/32 [00:05<00:20, 1.25it/s]
25%|██▌ | 8/32 [00:06<00:19, 1.22it/s]
28%|██▊ | 9/32 [00:07<00:18, 1.23it/s]
31%|███▏ | 10/32 [00:08<00:17, 1.24it/s]
34%|███▍ | 11/32 [00:08<00:16, 1.30it/s]
38%|███▊ | 12/32 [00:09<00:15, 1.28it/s]
41%|████ | 13/32 [00:10<00:15, 1.26it/s]
44%|████▍ | 14/32 [00:11<00:14, 1.24it/s]
47%|████▋ | 15/32 [00:12<00:13, 1.25it/s]
50%|█████ | 16/32 [00:12<00:12, 1.24it/s]
53%|█████▎ | 17/32 [00:13<00:11, 1.25it/s]
56%|█████▋ | 18/32 [00:14<00:11, 1.26it/s]
59%|█████▉ | 19/32 [00:15<00:10, 1.27it/s]
62%|██████▎ | 20/32 [00:15<00:09, 1.30it/s]
66%|██████▌ | 21/32 [00:16<00:08, 1.34it/s]
69%|██████▉ | 22/32 [00:17<00:07, 1.35it/s]
72%|███████▏ | 23/32 [00:18<00:06, 1.30it/s]
75%|███████▌ | 24/32 [00:18<00:05, 1.36it/s]
78%|███████▊ | 25/32 [00:19<00:05, 1.34it/s]
81%|████████▏ | 26/32 [00:20<00:04, 1.36it/s]
84%|████████▍ | 27/32 [00:21<00:03, 1.32it/s]
88%|████████▊ | 28/32 [00:21<00:02, 1.40it/s]
91%|█████████ | 29/32 [00:22<00:02, 1.39it/s]
94%|█████████▍| 30/32 [00:23<00:01, 1.42it/s]
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100%|██████████| 32/32 [00:23<00:00, 1.79it/s]
100%|██████████| 32/32 [00:23<00:00, 1.33it/s]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
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28%|██▊ | 9/32 [00:07<00:18, 1.24it/s]
31%|███▏ | 10/32 [00:08<00:17, 1.24it/s]
34%|███▍ | 11/32 [00:08<00:16, 1.30it/s]
38%|███▊ | 12/32 [00:09<00:15, 1.28it/s]
41%|████ | 13/32 [00:10<00:15, 1.27it/s]
44%|████▍ | 14/32 [00:11<00:14, 1.25it/s]
47%|████▋ | 15/32 [00:11<00:13, 1.26it/s]
50%|█████ | 16/32 [00:12<00:12, 1.25it/s]
53%|█████▎ | 17/32 [00:13<00:11, 1.27it/s]
56%|█████▋ | 18/32 [00:14<00:11, 1.25it/s]
59%|█████▉ | 19/32 [00:15<00:10, 1.27it/s]
62%|██████▎ | 20/32 [00:15<00:09, 1.29it/s]
66%|██████▌ | 21/32 [00:16<00:08, 1.34it/s]
69%|██████▉ | 22/32 [00:17<00:07, 1.35it/s]
72%|███████▏ | 23/32 [00:18<00:06, 1.32it/s]
75%|███████▌ | 24/32 [00:18<00:05, 1.37it/s]
78%|███████▊ | 25/32 [00:19<00:05, 1.35it/s]
81%|████████▏ | 26/32 [00:20<00:04, 1.37it/s]
84%|████████▍ | 27/32 [00:21<00:03, 1.33it/s]
88%|████████▊ | 28/32 [00:21<00:02, 1.40it/s]
91%|█████████ | 29/32 [00:22<00:02, 1.39it/s]
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100%|██████████| 32/32 [00:23<00:00, 1.79it/s]
100%|██████████| 32/32 [00:23<00:00, 1.34it/s]
Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
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34%|███▍ | 11/32 [00:08<00:16, 1.27it/s]
38%|███▊ | 12/32 [00:09<00:15, 1.25it/s]
41%|████ | 13/32 [00:10<00:15, 1.24it/s]
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Decoding latents in cuda:0...
done in 0.79s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.