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juggernaut-turbo-xl
juggernaut-turbo-xl

juggernaut-turbo-xl

11 stars
Version: lightning
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/fc4d7ca2e5a141fe90757c29fe9557d2/00000-651144719.webp
https://files.tungsten.run/uploads/c897879d4d5542d598b1d2054150c43a/00001-651144720.webp
https://files.tungsten.run/uploads/d40afa4044d246418a1f09d14e53976d/00002-651144721.webp
This example was created by evevalentine2017
Finished in 49.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: photograph, funny, the terminator in tutu looking at viewer, riding on a unicycle holding a big balloon made of flowers, stunning details, 8k, raw photo, 8k uhd, film grain, unreal engine 5, ray tracing, dynamic, Nikon d850, Depth of field 270mm, Amaro, Golden ratio, <lora:TLS:0.5> Full negative prompt: CGI, Unreal, Airbrushed, Digital, dark, oversaturated, humans 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:05<00:21, 5.36s/it] 40%|████ | 2/5 [00:10<00:16, 5.33s/it] 60%|██████ | 3/5 [00:15<00:10, 5.30s/it] 80%|████████ | 4/5 [00:19<00:04, 4.78s/it] 100%|██████████| 5/5 [00:21<00:00, 3.54s/it] 100%|██████████| 5/5 [00:21<00:00, 4.25s/it] Decoding latents in cuda:0... done in 2.39s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.8ms preprocess, 7.9ms inference, 23.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.82s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.46s/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 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.0ms preprocess, 7.8ms 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, 1.66s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.40s/it] 100%|██████████| 3/3 [00:03<00:00, 1.06it/s] 100%|██████████| 3/3 [00:03<00:00, 1.09s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.0ms 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, 1.67s/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 0.81s 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/fc4d7ca2e5a141fe90757c29fe9557d2/00000-651144719.webp
https://files.tungsten.run/uploads/c897879d4d5542d598b1d2054150c43a/00001-651144720.webp
https://files.tungsten.run/uploads/d40afa4044d246418a1f09d14e53976d/00002-651144721.webp
This example was created by evevalentine2017
Finished in 49.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: photograph, funny, the terminator in tutu looking at viewer, riding on a unicycle holding a big balloon made of flowers, stunning details, 8k, raw photo, 8k uhd, film grain, unreal engine 5, ray tracing, dynamic, Nikon d850, Depth of field 270mm, Amaro, Golden ratio, <lora:TLS:0.5> Full negative prompt: CGI, Unreal, Airbrushed, Digital, dark, oversaturated, humans 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:05<00:21, 5.36s/it] 40%|████ | 2/5 [00:10<00:16, 5.33s/it] 60%|██████ | 3/5 [00:15<00:10, 5.30s/it] 80%|████████ | 4/5 [00:19<00:04, 4.78s/it] 100%|██████████| 5/5 [00:21<00:00, 3.54s/it] 100%|██████████| 5/5 [00:21<00:00, 4.25s/it] Decoding latents in cuda:0... done in 2.39s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.8ms preprocess, 7.9ms inference, 23.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.82s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.46s/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 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.0ms preprocess, 7.8ms 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, 1.66s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.40s/it] 100%|██████████| 3/3 [00:03<00:00, 1.06it/s] 100%|██████████| 3/3 [00:03<00:00, 1.09s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.0ms 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, 1.67s/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 0.81s Move latents to cpu... done in 0.0s Uploading outputs... Finished.