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black-magic-sdxl
black-magic-sdxl

black-magic-sdxl

5 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/8908fe10ebdd4953a7fa7b607d544339/00000-2299749260.webp
https://files.tungsten.run/uploads/efc7250c702445679fd1f91b3b021a00/00001-2299749261.webp
https://files.tungsten.run/uploads/587205a43e1744a5a9afa9cc988efc7f/00002-2299749262.webp
This example was created by evevalentine2017
Finished in 86.2 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Anime, vibrant, intricate details, spectacular, beautiful, captivating, amazing masterpiece, best art work, otherwordly detailed, perfect, high quality, bright colors, 1 girl, the most outrageously gorgeous and beautiful girl in the world, standing, ultra hot, perfect curves, wide hips, big breasts, happy, riding a winged unicorn Full negative prompt: nipples, nipple, nsfw, more than 1 horn, horned girl 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:47, 1.40s/it] 6%|▌ | 2/35 [00:02<00:46, 1.40s/it] 9%|▊ | 3/35 [00:04<00:44, 1.40s/it] 11%|█▏ | 4/35 [00:05<00:43, 1.40s/it] 14%|█▍ | 5/35 [00:07<00:42, 1.40s/it] 17%|█▋ | 6/35 [00:08<00:40, 1.41s/it] 20%|██ | 7/35 [00:09<00:39, 1.41s/it] 23%|██▎ | 8/35 [00:11<00:37, 1.41s/it] 26%|██▌ | 9/35 [00:12<00:36, 1.41s/it] 29%|██▊ | 10/35 [00:14<00:35, 1.41s/it] 31%|███▏ | 11/35 [00:15<00:33, 1.41s/it] 34%|███▍ | 12/35 [00:16<00:32, 1.41s/it] 37%|███▋ | 13/35 [00:18<00:31, 1.41s/it] 40%|████ | 14/35 [00:19<00:29, 1.41s/it] 43%|████▎ | 15/35 [00:21<00:28, 1.41s/it] 46%|████▌ | 16/35 [00:22<00:26, 1.41s/it] 49%|████▊ | 17/35 [00:23<00:25, 1.41s/it] 51%|█████▏ | 18/35 [00:25<00:23, 1.41s/it] 54%|█████▍ | 19/35 [00:26<00:22, 1.41s/it] 57%|█████▋ | 20/35 [00:28<00:21, 1.41s/it] 60%|██████ | 21/35 [00:29<00:19, 1.41s/it] 63%|██████▎ | 22/35 [00:30<00:18, 1.41s/it] 66%|██████▌ | 23/35 [00:32<00:16, 1.41s/it] 69%|██████▊ | 24/35 [00:33<00:15, 1.41s/it] 71%|███████▏ | 25/35 [00:35<00:14, 1.41s/it] 74%|███████▍ | 26/35 [00:36<00:12, 1.41s/it] 77%|███████▋ | 27/35 [00:38<00:11, 1.41s/it] 80%|████████ | 28/35 [00:39<00:09, 1.41s/it] 83%|████████▎ | 29/35 [00:40<00:08, 1.41s/it] 86%|████████▌ | 30/35 [00:42<00:07, 1.41s/it] 89%|████████▊ | 31/35 [00:43<00:05, 1.41s/it] 91%|█████████▏| 32/35 [00:45<00:04, 1.41s/it] 94%|█████████▍| 33/35 [00:46<00:02, 1.41s/it] 97%|█████████▋| 34/35 [00:47<00:01, 1.41s/it] 100%|██████████| 35/35 [00:49<00:00, 1.41s/it] 100%|██████████| 35/35 [00:49<00:00, 1.41s/it] Decoding latents in cuda:0... done in 2.44s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.4ms preprocess, 7.9ms inference, 31.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:07, 2.14it/s] 12%|█▎ | 2/16 [00:00<00:06, 2.32it/s] 19%|█▉ | 3/16 [00:01<00:05, 2.30it/s] 25%|██▌ | 4/16 [00:01<00:05, 2.35it/s] 31%|███▏ | 5/16 [00:02<00:04, 2.33it/s] 38%|███▊ | 6/16 [00:02<00:04, 2.35it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.36it/s] 50%|█████ | 8/16 [00:03<00:03, 2.35it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.36it/s] 62%|██████▎ | 10/16 [00:04<00:02, 2.34it/s] 69%|██████▉ | 11/16 [00:04<00:02, 2.24it/s] 75%|███████▌ | 12/16 [00:05<00:01, 2.12it/s] 81%|████████▏ | 13/16 [00:05<00:01, 2.04it/s] 88%|████████▊ | 14/16 [00:06<00:00, 2.09it/s] 94%|█████████▍| 15/16 [00:06<00:00, 2.14it/s] 100%|██████████| 16/16 [00:07<00:00, 2.20it/s] 100%|██████████| 16/16 [00:07<00:00, 2.24it/s] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.1ms Speed: 3.1ms preprocess, 9.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:06, 2.47it/s] 12%|█▎ | 2/16 [00:00<00:05, 2.44it/s] 19%|█▉ | 3/16 [00:01<00:05, 2.35it/s] 25%|██▌ | 4/16 [00:01<00:05, 2.38it/s] 31%|███▏ | 5/16 [00:02<00:04, 2.33it/s] 38%|███▊ | 6/16 [00:02<00:04, 2.34it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.33it/s] 50%|█████ | 8/16 [00:03<00:03, 2.33it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.34it/s] 62%|██████▎ | 10/16 [00:04<00:02, 2.33it/s] 69%|██████▉ | 11/16 [00:04<00:02, 2.33it/s] 75%|███████▌ | 12/16 [00:05<00:01, 2.31it/s] 81%|████████▏ | 13/16 [00:05<00:01, 2.32it/s] 88%|████████▊ | 14/16 [00:05<00:00, 2.31it/s] 94%|█████████▍| 15/16 [00:06<00:00, 2.32it/s] 100%|██████████| 16/16 [00:06<00:00, 2.31it/s] 100%|██████████| 16/16 [00:06<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 3.1ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:06, 2.44it/s] 12%|█▎ | 2/16 [00:00<00:05, 2.41it/s] 19%|█▉ | 3/16 [00:01<00:05, 2.32it/s] 25%|██▌ | 4/16 [00:01<00:05, 2.35it/s] 31%|███▏ | 5/16 [00:02<00:04, 2.31it/s] 38%|███▊ | 6/16 [00:02<00:04, 2.33it/s] 44%|████▍ | 7/16 [00:03<00:03, 2.31it/s] 50%|█████ | 8/16 [00:03<00:03, 2.31it/s] 56%|█████▋ | 9/16 [00:03<00:03, 2.32it/s] 62%|██████▎ | 10/16 [00:04<00:02, 2.30it/s] 69%|██████▉ | 11/16 [00:04<00:02, 2.32it/s] 75%|███████▌ | 12/16 [00:05<00:01, 2.29it/s] 81%|████████▏ | 13/16 [00:05<00:01, 2.31it/s] 88%|████████▊ | 14/16 [00:06<00:00, 2.30it/s] 94%|█████████▍| 15/16 [00:06<00:00, 2.30it/s] 100%|██████████| 16/16 [00:06<00:00, 2.30it/s] 100%|██████████| 16/16 [00:06<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/8908fe10ebdd4953a7fa7b607d544339/00000-2299749260.webp
https://files.tungsten.run/uploads/efc7250c702445679fd1f91b3b021a00/00001-2299749261.webp
https://files.tungsten.run/uploads/587205a43e1744a5a9afa9cc988efc7f/00002-2299749262.webp
This example was created by evevalentine2017
Finished in 86.2 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Anime, vibrant, intricate details, spectacular, beautiful, captivating, amazing masterpiece, best art work, otherwordly detailed, perfect, high quality, bright colors, 1 girl, the most outrageously gorgeous and beautiful girl in the world, standing, ultra hot, perfect curves, wide hips, big breasts, happy, riding a winged unicorn Full negative prompt: nipples, nipple, nsfw, more than 1 horn, horned girl 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:47, 1.40s/it] 6%|▌ | 2/35 [00:02<00:46, 1.40s/it] 9%|▊ | 3/35 [00:04<00:44, 1.40s/it] 11%|█▏ | 4/35 [00:05<00:43, 1.40s/it] 14%|█▍ | 5/35 [00:07<00:42, 1.40s/it] 17%|█▋ | 6/35 [00:08<00:40, 1.41s/it] 20%|██ | 7/35 [00:09<00:39, 1.41s/it] 23%|██▎ | 8/35 [00:11<00:37, 1.41s/it] 26%|██▌ | 9/35 [00:12<00:36, 1.41s/it] 29%|██▊ | 10/35 [00:14<00:35, 1.41s/it] 31%|███▏ | 11/35 [00:15<00:33, 1.41s/it] 34%|███▍ | 12/35 [00:16<00:32, 1.41s/it] 37%|███▋ | 13/35 [00:18<00:31, 1.41s/it] 40%|████ | 14/35 [00:19<00:29, 1.41s/it] 43%|████▎ | 15/35 [00:21<00:28, 1.41s/it] 46%|████▌ | 16/35 [00:22<00:26, 1.41s/it] 49%|████▊ | 17/35 [00:23<00:25, 1.41s/it] 51%|█████▏ | 18/35 [00:25<00:23, 1.41s/it] 54%|█████▍ | 19/35 [00:26<00:22, 1.41s/it] 57%|█████▋ | 20/35 [00:28<00:21, 1.41s/it] 60%|██████ | 21/35 [00:29<00:19, 1.41s/it] 63%|██████▎ | 22/35 [00:30<00:18, 1.41s/it] 66%|██████▌ | 23/35 [00:32<00:16, 1.41s/it] 69%|██████▊ | 24/35 [00:33<00:15, 1.41s/it] 71%|███████▏ | 25/35 [00:35<00:14, 1.41s/it] 74%|███████▍ | 26/35 [00:36<00:12, 1.41s/it] 77%|███████▋ | 27/35 [00:38<00:11, 1.41s/it] 80%|████████ | 28/35 [00:39<00:09, 1.41s/it] 83%|████████▎ | 29/35 [00:40<00:08, 1.41s/it] 86%|████████▌ | 30/35 [00:42<00:07, 1.41s/it] 89%|████████▊ | 31/35 [00:43<00:05, 1.41s/it] 91%|█████████▏| 32/35 [00:45<00:04, 1.41s/it] 94%|█████████▍| 33/35 [00:46<00:02, 1.41s/it] 97%|█████████▋| 34/35 [00:47<00:01, 1.41s/it] 100%|██████████| 35/35 [00:49<00:00, 1.41s/it] 100%|██████████| 35/35 [00:49<00:00, 1.41s/it] Decoding latents in cuda:0... done in 2.44s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.4ms preprocess, 7.9ms inference, 31.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:07, 2.14it/s] 12%|█▎ | 2/16 [00:00<00:06, 2.32it/s] 19%|█▉ | 3/16 [00:01<00:05, 2.30it/s] 25%|██▌ | 4/16 [00:01<00:05, 2.35it/s] 31%|███▏ | 5/16 [00:02<00:04, 2.33it/s] 38%|███▊ | 6/16 [00:02<00:04, 2.35it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.36it/s] 50%|█████ | 8/16 [00:03<00:03, 2.35it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.36it/s] 62%|██████▎ | 10/16 [00:04<00:02, 2.34it/s] 69%|██████▉ | 11/16 [00:04<00:02, 2.24it/s] 75%|███████▌ | 12/16 [00:05<00:01, 2.12it/s] 81%|████████▏ | 13/16 [00:05<00:01, 2.04it/s] 88%|████████▊ | 14/16 [00:06<00:00, 2.09it/s] 94%|█████████▍| 15/16 [00:06<00:00, 2.14it/s] 100%|██████████| 16/16 [00:07<00:00, 2.20it/s] 100%|██████████| 16/16 [00:07<00:00, 2.24it/s] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.1ms Speed: 3.1ms preprocess, 9.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:06, 2.47it/s] 12%|█▎ | 2/16 [00:00<00:05, 2.44it/s] 19%|█▉ | 3/16 [00:01<00:05, 2.35it/s] 25%|██▌ | 4/16 [00:01<00:05, 2.38it/s] 31%|███▏ | 5/16 [00:02<00:04, 2.33it/s] 38%|███▊ | 6/16 [00:02<00:04, 2.34it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.33it/s] 50%|█████ | 8/16 [00:03<00:03, 2.33it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.34it/s] 62%|██████▎ | 10/16 [00:04<00:02, 2.33it/s] 69%|██████▉ | 11/16 [00:04<00:02, 2.33it/s] 75%|███████▌ | 12/16 [00:05<00:01, 2.31it/s] 81%|████████▏ | 13/16 [00:05<00:01, 2.32it/s] 88%|████████▊ | 14/16 [00:05<00:00, 2.31it/s] 94%|█████████▍| 15/16 [00:06<00:00, 2.32it/s] 100%|██████████| 16/16 [00:06<00:00, 2.31it/s] 100%|██████████| 16/16 [00:06<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 3.1ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:06, 2.44it/s] 12%|█▎ | 2/16 [00:00<00:05, 2.41it/s] 19%|█▉ | 3/16 [00:01<00:05, 2.32it/s] 25%|██▌ | 4/16 [00:01<00:05, 2.35it/s] 31%|███▏ | 5/16 [00:02<00:04, 2.31it/s] 38%|███▊ | 6/16 [00:02<00:04, 2.33it/s] 44%|████▍ | 7/16 [00:03<00:03, 2.31it/s] 50%|█████ | 8/16 [00:03<00:03, 2.31it/s] 56%|█████▋ | 9/16 [00:03<00:03, 2.32it/s] 62%|██████▎ | 10/16 [00:04<00:02, 2.30it/s] 69%|██████▉ | 11/16 [00:04<00:02, 2.32it/s] 75%|███████▌ | 12/16 [00:05<00:01, 2.29it/s] 81%|████████▏ | 13/16 [00:05<00:01, 2.31it/s] 88%|████████▊ | 14/16 [00:06<00:00, 2.30it/s] 94%|█████████▍| 15/16 [00:06<00:00, 2.30it/s] 100%|██████████| 16/16 [00:06<00:00, 2.30it/s] 100%|██████████| 16/16 [00:06<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s Uploading outputs... Finished.