Fortuneteller with SimplyBeautiful
Input
prompt
Specify things to see in the output
best quality, masterpiece, (tarot card:1.4), sepia, (CosmicTarot:1.2), retro artstyle, <lora:UltimateTarotV1.3:1>, The_Priestess, 1girl, cross, robe, mitre, candle, chalice, English text, roman numeral, card \(medium\), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
((blurry)), EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3414456871
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
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.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/f622f4e04f754a1e8f8f22a27630d7b5/00000-3414456871.webp
https://files.tungsten.run/uploads/6b5bf494d8e14dc0b0acc4d85d72a762/00001-3414456872.webp
https://files.tungsten.run/uploads/f045dfa1de7a42b2966180dc0789580d/00002-3414456873.webp
https://files.tungsten.run/uploads/5d9d331b37da4c569fdc7c4f976c6229/00003-3414456874.webp
Finished in 74.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: best quality, masterpiece, (tarot card:1.4), sepia, (CosmicTarot:1.2), retro artstyle, <lora:UltimateTarotV1.3:1>, The_Priestess, 1girl, cross, robe, mitre, candle, chalice, English text, roman numeral, card \(medium\), <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: ((blurry)), EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:37, 1.29s/it] 7%|▋ | 2/30 [00:01<00:25, 1.09it/s] 10%|█ | 3/30 [00:02<00:21, 1.26it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.36it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.42it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.48it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.50it/s] 30%|███ | 9/30 [00:06<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.52it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.53it/s] 40%|████ | 12/30 [00:08<00:11, 1.53it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.53it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.54it/s] 50%|█████ | 15/30 [00:10<00:09, 1.54it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.54it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.54it/s] 60%|██████ | 18/30 [00:12<00:07, 1.54it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.54it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.53it/s] 70%|███████ | 21/30 [00:14<00:05, 1.54it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.54it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.54it/s] 80%|████████ | 24/30 [00:16<00:03, 1.54it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.54it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.52it/s] 90%|█████████ | 27/30 [00:18<00:01, 1.53it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.53it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.53it/s] 100%|██████████| 30/30 [00:20<00:00, 1.54it/s] 100%|██████████| 30/30 [00:20<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
best quality, masterpiece, (tarot card:1.4), sepia, (CosmicTarot:1.2), retro artstyle, <lora:UltimateTarotV1.3:1>, The_Priestess, 1girl, cross, robe, mitre, candle, chalice, English text, roman numeral, card \(medium\), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
((blurry)), EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3414456871
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
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.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/f622f4e04f754a1e8f8f22a27630d7b5/00000-3414456871.webp
https://files.tungsten.run/uploads/6b5bf494d8e14dc0b0acc4d85d72a762/00001-3414456872.webp
https://files.tungsten.run/uploads/f045dfa1de7a42b2966180dc0789580d/00002-3414456873.webp
https://files.tungsten.run/uploads/5d9d331b37da4c569fdc7c4f976c6229/00003-3414456874.webp
Finished in 74.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: best quality, masterpiece, (tarot card:1.4), sepia, (CosmicTarot:1.2), retro artstyle, <lora:UltimateTarotV1.3:1>, The_Priestess, 1girl, cross, robe, mitre, candle, chalice, English text, roman numeral, card \(medium\), <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: ((blurry)), EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:37, 1.29s/it] 7%|▋ | 2/30 [00:01<00:25, 1.09it/s] 10%|█ | 3/30 [00:02<00:21, 1.26it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.36it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.42it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.48it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.50it/s] 30%|███ | 9/30 [00:06<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.52it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.53it/s] 40%|████ | 12/30 [00:08<00:11, 1.53it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.53it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.54it/s] 50%|█████ | 15/30 [00:10<00:09, 1.54it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.54it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.54it/s] 60%|██████ | 18/30 [00:12<00:07, 1.54it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.54it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.53it/s] 70%|███████ | 21/30 [00:14<00:05, 1.54it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.54it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.54it/s] 80%|████████ | 24/30 [00:16<00:03, 1.54it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.54it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.52it/s] 90%|█████████ | 27/30 [00:18<00:01, 1.53it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.53it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.53it/s] 100%|██████████| 30/30 [00:20<00:00, 1.54it/s] 100%|██████████| 30/30 [00:20<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s