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waifugenieturbo
waifugenieturbo

waifugenieturbo

10 stars
Version: v1.2
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.
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Output
https://files.tungsten.run/uploads/6e3c2e93189643db9f8ceccdd4f02794/00000-1100692887.webp
https://files.tungsten.run/uploads/afde62f8954d41a58ab37a05d0d22e11/00001-1100692888.webp
https://files.tungsten.run/uploads/73f913b6841647298924ee564e5960f9/00002-1100692889.webp
This example was created by sparks
Finished in 98.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Persian ((Genie Djinn)), casting wish spell, flashy particle effects, skirt, bra, dramatic spell casting flourish, standing, persian palace, epic scene, realistic, detailed face and eyes, <lora:add-detail-xl:1.5> Full negative prompt: blurry, bokeh, painted, obese, monochrome 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:05<00:33, 5.51s/it] 29%|██▊ | 2/7 [00:11<00:28, 5.61s/it] 43%|████▎ | 3/7 [00:16<00:22, 5.68s/it] 57%|█████▋ | 4/7 [00:22<00:17, 5.70s/it] 71%|███████▏ | 5/7 [00:28<00:11, 5.61s/it] 86%|████████▌ | 6/7 [00:32<00:05, 5.05s/it] 100%|██████████| 7/7 [00:33<00:00, 3.85s/it] 100%|██████████| 7/7 [00:33<00:00, 4.78s/it] Decoding latents in cuda:0... done in 2.48s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.4ms preprocess, 7.9ms inference, 16.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.79s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.04it/s] 100%|██████████| 3/3 [00:03<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.73s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.76s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.04it/s] 100%|██████████| 3/3 [00:03<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.77s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.43s/it] 100%|██████████| 3/3 [00:03<00:00, 1.03it/s] 100%|██████████| 3/3 [00:03<00:00, 1.13s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.79s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.45s/it] 100%|██████████| 3/3 [00:03<00:00, 1.03it/s] 100%|██████████| 3/3 [00:03<00:00, 1.14s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.3ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.74s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.75s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 15.6ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.73s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.41s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.6ms Speed: 3.2ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.68s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.38s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.08s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.71s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.39s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.09s/it] Decoding latents in cuda:0... done in 0.83s 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/6e3c2e93189643db9f8ceccdd4f02794/00000-1100692887.webp
https://files.tungsten.run/uploads/afde62f8954d41a58ab37a05d0d22e11/00001-1100692888.webp
https://files.tungsten.run/uploads/73f913b6841647298924ee564e5960f9/00002-1100692889.webp
This example was created by sparks
Finished in 98.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Persian ((Genie Djinn)), casting wish spell, flashy particle effects, skirt, bra, dramatic spell casting flourish, standing, persian palace, epic scene, realistic, detailed face and eyes, <lora:add-detail-xl:1.5> Full negative prompt: blurry, bokeh, painted, obese, monochrome 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:05<00:33, 5.51s/it] 29%|██▊ | 2/7 [00:11<00:28, 5.61s/it] 43%|████▎ | 3/7 [00:16<00:22, 5.68s/it] 57%|█████▋ | 4/7 [00:22<00:17, 5.70s/it] 71%|███████▏ | 5/7 [00:28<00:11, 5.61s/it] 86%|████████▌ | 6/7 [00:32<00:05, 5.05s/it] 100%|██████████| 7/7 [00:33<00:00, 3.85s/it] 100%|██████████| 7/7 [00:33<00:00, 4.78s/it] Decoding latents in cuda:0... done in 2.48s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.4ms preprocess, 7.9ms inference, 16.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.79s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.04it/s] 100%|██████████| 3/3 [00:03<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.73s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.76s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.04it/s] 100%|██████████| 3/3 [00:03<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.77s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.43s/it] 100%|██████████| 3/3 [00:03<00:00, 1.03it/s] 100%|██████████| 3/3 [00:03<00:00, 1.13s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.79s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.45s/it] 100%|██████████| 3/3 [00:03<00:00, 1.03it/s] 100%|██████████| 3/3 [00:03<00:00, 1.14s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.3ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.74s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.75s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 15.6ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.73s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.41s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.6ms Speed: 3.2ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.68s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.38s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.08s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.71s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.39s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.09s/it] Decoding latents in cuda:0... done in 0.83s Move latents to cpu... done in 0.0s Uploading outputs... Finished.