Nile's Queen with Mix Realistic
Input
prompt
Specify things to see in the output
bpcqueenofnile, woman sitting on a throne in a big hall, <lora:Bettie_Page_Queen_of_Nile_v1:0.5>, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)),
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
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
3278957224
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
35
cfg_scale
Scale for classifier-free guidance
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_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/c401ae45eadc4f7c8304aafd8da9387e/00000-3278957224.webp
https://files.tungsten.run/uploads/7f5c3f4280ce4dd9a2cab3e40c771603/00001-3278957225.webp
https://files.tungsten.run/uploads/b3f0c83225884fd780e025ee31157b19/00002-3278957226.webp
https://files.tungsten.run/uploads/63c0a4e5eab04800b56aa2a85a9a2382/00003-3278957227.webp
Finished in 70.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: bpcqueenofnile, woman sitting on a throne in a big hall, <lora:Bettie_Page_Queen_of_Nile_v1:0.5>, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7> Full negative prompt: EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)), 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:48, 1.41s/it] 6%|▌ | 2/35 [00:02<00:32, 1.01it/s] 9%|▊ | 3/35 [00:02<00:27, 1.18it/s] 11%|█▏ | 4/35 [00:03<00:24, 1.27it/s] 14%|█▍ | 5/35 [00:04<00:22, 1.33it/s] 17%|█▋ | 6/35 [00:04<00:21, 1.37it/s] 20%|██ | 7/35 [00:05<00:20, 1.40it/s] 23%|██▎ | 8/35 [00:06<00:19, 1.41it/s] 26%|██▌ | 9/35 [00:06<00:18, 1.42it/s] 29%|██▊ | 10/35 [00:07<00:17, 1.43it/s] 31%|███▏ | 11/35 [00:08<00:16, 1.43it/s] 34%|███▍ | 12/35 [00:09<00:16, 1.43it/s] 37%|███▋ | 13/35 [00:09<00:15, 1.43it/s] 40%|████ | 14/35 [00:10<00:14, 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latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
bpcqueenofnile, woman sitting on a throne in a big hall, <lora:Bettie_Page_Queen_of_Nile_v1:0.5>, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)),
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
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
3278957224
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
35
cfg_scale
Scale for classifier-free guidance
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_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/c401ae45eadc4f7c8304aafd8da9387e/00000-3278957224.webp
https://files.tungsten.run/uploads/7f5c3f4280ce4dd9a2cab3e40c771603/00001-3278957225.webp
https://files.tungsten.run/uploads/b3f0c83225884fd780e025ee31157b19/00002-3278957226.webp
https://files.tungsten.run/uploads/63c0a4e5eab04800b56aa2a85a9a2382/00003-3278957227.webp
Finished in 70.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: bpcqueenofnile, woman sitting on a throne in a big hall, <lora:Bettie_Page_Queen_of_Nile_v1:0.5>, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7> Full negative prompt: EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)), 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:48, 1.41s/it] 6%|▌ | 2/35 [00:02<00:32, 1.01it/s] 9%|▊ | 3/35 [00:02<00:27, 1.18it/s] 11%|█▏ | 4/35 [00:03<00:24, 1.27it/s] 14%|█▍ | 5/35 [00:04<00:22, 1.33it/s] 17%|█▋ | 6/35 [00:04<00:21, 1.37it/s] 20%|██ | 7/35 [00:05<00:20, 1.40it/s] 23%|██▎ | 8/35 [00:06<00:19, 1.41it/s] 26%|██▌ | 9/35 [00:06<00:18, 1.42it/s] 29%|██▊ | 10/35 [00:07<00:17, 1.43it/s] 31%|███▏ | 11/35 [00:08<00:16, 1.43it/s] 34%|███▍ | 12/35 [00:09<00:16, 1.43it/s] 37%|███▋ | 13/35 [00:09<00:15, 1.43it/s] 40%|████ | 14/35 [00:10<00:14, 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latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 6.56it/s] 10%|█ | 2/20 [00:00<00:02, 6.44it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.42it/s] 20%|██ | 4/20 [00:00<00:02, 6.40it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.17it/s] 30%|███ | 6/20 [00:00<00:02, 6.08it/s] 35%|███▌ | 7/20 [00:01<00:02, 6.09it/s] 40%|████ | 8/20 [00:01<00:01, 6.18it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.24it/s] 50%|█████ | 10/20 [00:01<00:01, 6.28it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.22it/s] 60%|██████ | 12/20 [00:01<00:01, 6.18it/s] 65%|██████▌ | 13/20 [00:02<00:01, 6.14it/s] 70%|███████ | 14/20 [00:02<00:00, 6.18it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.21it/s] 80%|████████ | 16/20 [00:02<00:00, 6.23it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.20it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.17it/s] 95%|█████████▌| 19/20 [00:03<00:00, 6.17it/s] 100%|██████████| 20/20 [00:03<00:00, 6.21it/s] 100%|██████████| 20/20 [00:03<00:00, 6.22it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 6.61it/s] 10%|█ | 2/20 [00:00<00:02, 6.52it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.46it/s] 20%|██ | 4/20 [00:00<00:02, 6.44it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.18it/s] 30%|███ | 6/20 [00:00<00:02, 6.10it/s] 35%|███▌ | 7/20 [00:01<00:02, 6.12it/s] 40%|████ | 8/20 [00:01<00:01, 6.23it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.31it/s] 50%|█████ | 10/20 [00:01<00:01, 6.31it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.23it/s] 60%|██████ | 12/20 [00:01<00:01, 6.16it/s] 65%|██████▌ | 13/20 [00:02<00:01, 6.15it/s] 70%|███████ | 14/20 [00:02<00:00, 6.19it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.26it/s] 80%|████████ | 16/20 [00:02<00:00, 6.28it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.23it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.17it/s] 95%|█████████▌| 19/20 [00:03<00:00, 6.15it/s] 100%|██████████| 20/20 [00:03<00:00, 6.19it/s] 100%|██████████| 20/20 [00:03<00:00, 6.23it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 6.65it/s] 10%|█ | 2/20 [00:00<00:02, 6.54it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.52it/s] 20%|██ | 4/20 [00:00<00:02, 6.49it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.18it/s] 30%|███ | 6/20 [00:00<00:02, 6.08it/s] 35%|███▌ | 7/20 [00:01<00:02, 6.13it/s] 40%|████ | 8/20 [00:01<00:01, 6.21it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.29it/s] 50%|█████ | 10/20 [00:01<00:01, 6.30it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.24it/s] 60%|██████ | 12/20 [00:01<00:01, 6.21it/s] 65%|██████▌ | 13/20 [00:02<00:01, 6.23it/s] 70%|███████ | 14/20 [00:02<00:00, 6.24it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.30it/s] 80%|████████ | 16/20 [00:02<00:00, 6.31it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.26it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.22it/s] 95%|█████████▌| 19/20 [00:03<00:00, 6.21it/s] 100%|██████████| 20/20 [00:03<00:00, 6.25it/s] 100%|██████████| 20/20 [00:03<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 6.68it/s] 10%|█ | 2/20 [00:00<00:02, 6.53it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.49it/s] 20%|██ | 4/20 [00:00<00:02, 6.46it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.30it/s] 30%|███ | 6/20 [00:00<00:02, 6.19it/s] 35%|███▌ | 7/20 [00:01<00:02, 6.16it/s] 40%|████ | 8/20 [00:01<00:01, 6.22it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.29it/s] 50%|█████ | 10/20 [00:01<00:01, 6.31it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.24it/s] 60%|██████ | 12/20 [00:01<00:01, 6.17it/s] 65%|██████▌ | 13/20 [00:02<00:01, 6.21it/s] 70%|███████ | 14/20 [00:02<00:00, 6.24it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.31it/s] 80%|████████ | 16/20 [00:02<00:00, 6.33it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.26it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.20it/s] 95%|█████████▌| 19/20 [00:03<00:00, 5.98it/s] 100%|██████████| 20/20 [00:03<00:00, 6.11it/s] 100%|██████████| 20/20 [00:03<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 6.78it/s] 10%|█ | 2/20 [00:00<00:02, 6.58it/s] 15%|█▌ | 3/20 [00:00<00:02, 6.51it/s] 20%|██ | 4/20 [00:00<00:02, 6.52it/s] 25%|██▌ | 5/20 [00:00<00:02, 6.39it/s] 30%|███ | 6/20 [00:00<00:02, 6.28it/s] 35%|███▌ | 7/20 [00:01<00:02, 6.17it/s] 40%|████ | 8/20 [00:01<00:01, 6.21it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.26it/s] 50%|█████ | 10/20 [00:01<00:01, 6.30it/s] 55%|█████▌ | 11/20 [00:01<00:01, 6.35it/s] 60%|██████ | 12/20 [00:01<00:01, 6.28it/s] 65%|██████▌ | 13/20 [00:02<00:01, 6.24it/s] 70%|███████ | 14/20 [00:02<00:00, 6.20it/s] 75%|███████▌ | 15/20 [00:02<00:00, 6.24it/s] 80%|████████ | 16/20 [00:02<00:00, 6.27it/s] 85%|████████▌ | 17/20 [00:02<00:00, 6.18it/s] 90%|█████████ | 18/20 [00:02<00:00, 6.21it/s] 95%|█████████▌| 19/20 [00:03<00:00, 6.17it/s] 100%|██████████| 20/20 [00:03<00:00, 6.18it/s] 100%|██████████| 20/20 [00:03<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.