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Handsome Princes with MajixMix Lux
majicmix-lux:v3.0
evevalentine2017
evevalentine2017
·
Jan 18
346
Input
prompt
Specify things to see in the output
Solo, male, very sexy, masterpiece, white background, 1 handsome male, bara,prince, grey curly hair, vampire, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight,
negative_prompt
Specify things to not see in the output
(girl), (feminine), (woman), (more than 2 arms) (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
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
0.35
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
contrast
Adjust contrast
0
saturation
Adjust saturation
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2330600138
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
Euler
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
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>
spotlight.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealLife.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/87a93d80f66b427caff15205824be010/00000-2330600138.webp
https://files.tungsten.run/uploads/50df7b54287e493a89e8afe44a280958/00001-2330600139.webp
https://files.tungsten.run/uploads/d3ffcbd5627d4342a333c51daaa8cf3a/00002-2330600140.webp
https://files.tungsten.run/uploads/3ffbd8dc06734ed8a76f2d561516062f/00003-2330600141.webp
Finished in 37.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Solo, male, very sexy, masterpiece, white background, 1 handsome male, bara,prince, grey curly hair, vampire, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:0.5> Full negative prompt: (girl), (feminine), (woman), (more than 2 arms) (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:26, 1.38s/it] 10%|█ | 2/20 [00:02<00:17, 1.04it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.22it/s] 20%|██ | 4/20 [00:03<00:12, 1.31it/s] 25%|██▌ | 5/20 [00:04<00:10, 1.37it/s] 30%|███ | 6/20 [00:04<00:09, 1.41it/s] 35%|███▌ | 7/20 [00:05<00:09, 1.43it/s] 40%|████ | 8/20 [00:06<00:08, 1.45it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.46it/s] 50%|█████ | 10/20 [00:07<00:06, 1.47it/s] 55%|█████▌ | 11/20 [00:08<00:06, 1.47it/s] 60%|██████ | 12/20 [00:08<00:05, 1.48it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.48it/s] 70%|███████ | 14/20 [00:10<00:04, 1.48it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.48it/s] 80%|████████ | 16/20 [00:11<00:02, 1.48it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.48it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.48it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.48it/s] 100%|██████████| 20/20 [00:14<00:00, 1.47it/s] 100%|██████████| 20/20 [00:14<00:00, 1.41it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 31.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:02, 3.43it/s] 25%|██▌ | 2/8 [00:00<00:01, 4.78it/s] 38%|███▊ | 3/8 [00:00<00:00, 5.43it/s] 50%|█████ | 4/8 [00:00<00:00, 5.83it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.07it/s] 75%|███████▌ | 6/8 [00:01<00:00, 6.13it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.17it/s] 100%|██████████| 8/8 [00:01<00:00, 6.23it/s] 100%|██████████| 8/8 [00:01<00:00, 5.80it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.82it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.64it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.56it/s] 50%|█████ | 4/8 [00:00<00:00, 6.56it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.54it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.44it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.38it/s] 100%|██████████| 8/8 [00:01<00:00, 6.36it/s] 100%|██████████| 8/8 [00:01<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 9.2ms Speed: 2.6ms preprocess, 9.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.82it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.67it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.60it/s] 50%|█████ | 4/8 [00:00<00:00, 6.56it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.57it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.46it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.33it/s] 100%|██████████| 8/8 [00:01<00:00, 6.32it/s] 100%|██████████| 8/8 [00:01<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.82it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.63it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.57it/s] 50%|█████ | 4/8 [00:00<00:00, 6.55it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.54it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.42it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.32it/s] 100%|██████████| 8/8 [00:01<00:00, 6.25it/s] 100%|██████████| 8/8 [00:01<00:00, 6.40it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.44s Move latents to cpu... done in 0.22s 0: 640x640 (no detections), 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.66it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.54it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.51it/s] 50%|█████ | 4/8 [00:00<00:00, 6.50it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.49it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.41it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.33it/s] 100%|██████████| 8/8 [00:01<00:00, 6.27it/s] 100%|██████████| 8/8 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 10.7ms Speed: 2.9ms preprocess, 10.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
Solo, male, very sexy, masterpiece, white background, 1 handsome male, bara,prince, grey curly hair, vampire, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight,
negative_prompt
Specify things to not see in the output
(girl), (feminine), (woman), (more than 2 arms) (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3
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
0.35
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
contrast
Adjust contrast
0
saturation
Adjust saturation
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2330600138
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
Euler
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
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>
spotlight.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealLife.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/87a93d80f66b427caff15205824be010/00000-2330600138.webp
https://files.tungsten.run/uploads/50df7b54287e493a89e8afe44a280958/00001-2330600139.webp
https://files.tungsten.run/uploads/d3ffcbd5627d4342a333c51daaa8cf3a/00002-2330600140.webp
https://files.tungsten.run/uploads/3ffbd8dc06734ed8a76f2d561516062f/00003-2330600141.webp
Finished in 37.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Solo, male, very sexy, masterpiece, white background, 1 handsome male, bara,prince, grey curly hair, vampire, light passing through hair, (official art, extreme detailed, highest detailed), HDR+ <lora:epiCRealLife:1>, <lora:spotlight:0.8> spotlight, , <lora:add_brightness:0.2>, <lora:add_saturation:0.5> Full negative prompt: (girl), (feminine), (woman), (more than 2 arms) (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, watermark, bad-picture-chill-75v, ng_deepnegative_v1_75t, verybadimagenegative_v1.3 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:26, 1.38s/it] 10%|█ | 2/20 [00:02<00:17, 1.04it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.22it/s] 20%|██ | 4/20 [00:03<00:12, 1.31it/s] 25%|██▌ | 5/20 [00:04<00:10, 1.37it/s] 30%|███ | 6/20 [00:04<00:09, 1.41it/s] 35%|███▌ | 7/20 [00:05<00:09, 1.43it/s] 40%|████ | 8/20 [00:06<00:08, 1.45it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.46it/s] 50%|█████ | 10/20 [00:07<00:06, 1.47it/s] 55%|█████▌ | 11/20 [00:08<00:06, 1.47it/s] 60%|██████ | 12/20 [00:08<00:05, 1.48it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.48it/s] 70%|███████ | 14/20 [00:10<00:04, 1.48it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.48it/s] 80%|████████ | 16/20 [00:11<00:02, 1.48it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.48it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.48it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.48it/s] 100%|██████████| 20/20 [00:14<00:00, 1.47it/s] 100%|██████████| 20/20 [00:14<00:00, 1.41it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 31.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:02, 3.43it/s] 25%|██▌ | 2/8 [00:00<00:01, 4.78it/s] 38%|███▊ | 3/8 [00:00<00:00, 5.43it/s] 50%|█████ | 4/8 [00:00<00:00, 5.83it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.07it/s] 75%|███████▌ | 6/8 [00:01<00:00, 6.13it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.17it/s] 100%|██████████| 8/8 [00:01<00:00, 6.23it/s] 100%|██████████| 8/8 [00:01<00:00, 5.80it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.82it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.64it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.56it/s] 50%|█████ | 4/8 [00:00<00:00, 6.56it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.54it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.44it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.38it/s] 100%|██████████| 8/8 [00:01<00:00, 6.36it/s] 100%|██████████| 8/8 [00:01<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 9.2ms Speed: 2.6ms preprocess, 9.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.82it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.67it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.60it/s] 50%|█████ | 4/8 [00:00<00:00, 6.56it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.57it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.46it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.33it/s] 100%|██████████| 8/8 [00:01<00:00, 6.32it/s] 100%|██████████| 8/8 [00:01<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.82it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.63it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.57it/s] 50%|█████ | 4/8 [00:00<00:00, 6.55it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.54it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.42it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.32it/s] 100%|██████████| 8/8 [00:01<00:00, 6.25it/s] 100%|██████████| 8/8 [00:01<00:00, 6.40it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.44s Move latents to cpu... done in 0.22s 0: 640x640 (no detections), 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:01, 6.66it/s] 25%|██▌ | 2/8 [00:00<00:00, 6.54it/s] 38%|███▊ | 3/8 [00:00<00:00, 6.51it/s] 50%|█████ | 4/8 [00:00<00:00, 6.50it/s] 62%|██████▎ | 5/8 [00:00<00:00, 6.49it/s] 75%|███████▌ | 6/8 [00:00<00:00, 6.41it/s] 88%|████████▊ | 7/8 [00:01<00:00, 6.33it/s] 100%|██████████| 8/8 [00:01<00:00, 6.27it/s] 100%|██████████| 8/8 [00:01<00:00, 6.39it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 10.7ms Speed: 2.9ms preprocess, 10.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.