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osorubeshi-turbo-xl
osorubeshi-turbo-xl

osorubeshi-turbo-xl

11 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.
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Output
https://files.tungsten.run/uploads/eec5d51926c145bda2d60cbf167637ef/00000-3464130512.webp
https://files.tungsten.run/uploads/8ae9e82d82c149209750a053a70e4e00/00001-3464130513.webp
https://files.tungsten.run/uploads/b61550be74984cc5a92f5e3c2fc987d7/00002-3464130514.webp
This example was created by evevalentine2017
Finished in 29.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Masterpiece, best quality, absurdres, 1boy, samurai warrior, bamboo forest Full negative prompt: undersaturated, worst quality, bad quality, low res, nsfw, nipples, loli, kid, child, underage 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:09, 1.00s/it] 20%|██ | 2/10 [00:02<00:08, 1.00s/it] 30%|███ | 3/10 [00:03<00:07, 1.01s/it] 40%|████ | 4/10 [00:04<00:06, 1.01s/it] 50%|█████ | 5/10 [00:05<00:05, 1.01s/it] 60%|██████ | 6/10 [00:06<00:04, 1.02s/it] 70%|███████ | 7/10 [00:07<00:03, 1.02s/it] 80%|████████ | 8/10 [00:08<00:02, 1.02s/it] 90%|█████████ | 9/10 [00:09<00:01, 1.02s/it] 100%|██████████| 10/10 [00:10<00:00, 1.02s/it] 100%|██████████| 10/10 [00:10<00:00, 1.01s/it] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 178.0ms Speed: 2.9ms preprocess, 178.0ms inference, 26.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:01, 2.16it/s] 40%|████ | 2/5 [00:00<00:01, 2.59it/s] 60%|██████ | 3/5 [00:01<00:00, 2.76it/s] 80%|████████ | 4/5 [00:01<00:00, 2.81it/s] 100%|██████████| 5/5 [00:01<00:00, 2.89it/s] 100%|██████████| 5/5 [00:01<00:00, 2.77it/s] Decoding latents in cuda:0... done in 0.6s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.3ms Speed: 2.6ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:01, 2.95it/s] 40%|████ | 2/5 [00:00<00:01, 2.88it/s] 60%|██████ | 3/5 [00:01<00:00, 2.82it/s] 80%|████████ | 4/5 [00:01<00:00, 2.87it/s] 100%|██████████| 5/5 [00:01<00:00, 2.93it/s] 100%|██████████| 5/5 [00:01<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.1ms Speed: 2.6ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:01, 2.88it/s] 40%|████ | 2/5 [00:00<00:01, 2.89it/s] 60%|██████ | 3/5 [00:01<00:00, 2.87it/s] 80%|████████ | 4/5 [00:01<00:00, 2.87it/s] 100%|██████████| 5/5 [00:01<00:00, 2.88it/s] 100%|██████████| 5/5 [00:01<00:00, 2.88it/s] Decoding latents in cuda:0... done in 0.6s 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/eec5d51926c145bda2d60cbf167637ef/00000-3464130512.webp
https://files.tungsten.run/uploads/8ae9e82d82c149209750a053a70e4e00/00001-3464130513.webp
https://files.tungsten.run/uploads/b61550be74984cc5a92f5e3c2fc987d7/00002-3464130514.webp
This example was created by evevalentine2017
Finished in 29.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Masterpiece, best quality, absurdres, 1boy, samurai warrior, bamboo forest Full negative prompt: undersaturated, worst quality, bad quality, low res, nsfw, nipples, loli, kid, child, underage 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:09, 1.00s/it] 20%|██ | 2/10 [00:02<00:08, 1.00s/it] 30%|███ | 3/10 [00:03<00:07, 1.01s/it] 40%|████ | 4/10 [00:04<00:06, 1.01s/it] 50%|█████ | 5/10 [00:05<00:05, 1.01s/it] 60%|██████ | 6/10 [00:06<00:04, 1.02s/it] 70%|███████ | 7/10 [00:07<00:03, 1.02s/it] 80%|████████ | 8/10 [00:08<00:02, 1.02s/it] 90%|█████████ | 9/10 [00:09<00:01, 1.02s/it] 100%|██████████| 10/10 [00:10<00:00, 1.02s/it] 100%|██████████| 10/10 [00:10<00:00, 1.01s/it] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 178.0ms Speed: 2.9ms preprocess, 178.0ms inference, 26.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:01, 2.16it/s] 40%|████ | 2/5 [00:00<00:01, 2.59it/s] 60%|██████ | 3/5 [00:01<00:00, 2.76it/s] 80%|████████ | 4/5 [00:01<00:00, 2.81it/s] 100%|██████████| 5/5 [00:01<00:00, 2.89it/s] 100%|██████████| 5/5 [00:01<00:00, 2.77it/s] Decoding latents in cuda:0... done in 0.6s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.3ms Speed: 2.6ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:01, 2.95it/s] 40%|████ | 2/5 [00:00<00:01, 2.88it/s] 60%|██████ | 3/5 [00:01<00:00, 2.82it/s] 80%|████████ | 4/5 [00:01<00:00, 2.87it/s] 100%|██████████| 5/5 [00:01<00:00, 2.93it/s] 100%|██████████| 5/5 [00:01<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.1ms Speed: 2.6ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:01, 2.88it/s] 40%|████ | 2/5 [00:00<00:01, 2.89it/s] 60%|██████ | 3/5 [00:01<00:00, 2.87it/s] 80%|████████ | 4/5 [00:01<00:00, 2.87it/s] 100%|██████████| 5/5 [00:01<00:00, 2.88it/s] 100%|██████████| 5/5 [00:01<00:00, 2.88it/s] Decoding latents in cuda:0... done in 0.6s Move latents to cpu... done in 0.0s Uploading outputs... Finished.