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/e5514619cb7d4e11b0ced8201b20a807/00000-2473493901.webp
https://files.tungsten.run/uploads/cd4affad284649c7bc10ee5826998078/00001-2473493902.webp
https://files.tungsten.run/uploads/cdbf1b1b37c84ec18392cc6b108416c9/00002-2473493903.webp
This example was created by evevalentine2017
Finished in 53.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, best quality, hanfu, hanfukozue, 1boy, chinese clothes, ink illustration Full negative prompt: Asymmetrical face, (kid:1.4), (child:1.4), underrage, (blurry:1.4), 3D, worst quality, low quality, normal quality, (saturation), text, word, long neck 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:03<00:21, 3.12s/it] 25%|██▌ | 2/8 [00:07<00:23, 3.88s/it] 38%|███▊ | 3/8 [00:11<00:20, 4.09s/it] 50%|█████ | 4/8 [00:15<00:16, 4.09s/it] 62%|██████▎ | 5/8 [00:19<00:11, 4.00s/it] 75%|███████▌ | 6/8 [00:23<00:07, 3.96s/it] 88%|████████▊ | 7/8 [00:26<00:03, 3.52s/it] 100%|██████████| 8/8 [00:27<00:00, 2.70s/it] 100%|██████████| 8/8 [00:27<00:00, 3.41s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 173.3ms Speed: 2.7ms preprocess, 173.3ms inference, 21.7ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:01<00:04, 1.46s/it] 50%|█████ | 2/4 [00:02<00:02, 1.37s/it] 75%|███████▌ | 3/4 [00:03<00:01, 1.17s/it] 100%|██████████| 4/4 [00:04<00:00, 1.20it/s] 100%|██████████| 4/4 [00:04<00:00, 1.00s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.2ms Speed: 2.6ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:01<00:04, 1.34s/it] 50%|█████ | 2/4 [00:02<00:02, 1.33s/it] 75%|███████▌ | 3/4 [00:03<00:01, 1.15s/it] 100%|██████████| 4/4 [00:03<00:00, 1.21it/s] 100%|██████████| 4/4 [00:03<00:00, 1.02it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 7.8ms Speed: 2.3ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:01<00:04, 1.37s/it] 50%|█████ | 2/4 [00:02<00:02, 1.36s/it] 75%|███████▌ | 3/4 [00:03<00:01, 1.16s/it] 100%|██████████| 4/4 [00:03<00:00, 1.20it/s] 100%|██████████| 4/4 [00:03<00:00, 1.01it/s] Decoding latents in cuda:0... done in 0.57s 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/e5514619cb7d4e11b0ced8201b20a807/00000-2473493901.webp
https://files.tungsten.run/uploads/cd4affad284649c7bc10ee5826998078/00001-2473493902.webp
https://files.tungsten.run/uploads/cdbf1b1b37c84ec18392cc6b108416c9/00002-2473493903.webp
This example was created by evevalentine2017
Finished in 53.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, best quality, hanfu, hanfukozue, 1boy, chinese clothes, ink illustration Full negative prompt: Asymmetrical face, (kid:1.4), (child:1.4), underrage, (blurry:1.4), 3D, worst quality, low quality, normal quality, (saturation), text, word, long neck 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:03<00:21, 3.12s/it] 25%|██▌ | 2/8 [00:07<00:23, 3.88s/it] 38%|███▊ | 3/8 [00:11<00:20, 4.09s/it] 50%|█████ | 4/8 [00:15<00:16, 4.09s/it] 62%|██████▎ | 5/8 [00:19<00:11, 4.00s/it] 75%|███████▌ | 6/8 [00:23<00:07, 3.96s/it] 88%|████████▊ | 7/8 [00:26<00:03, 3.52s/it] 100%|██████████| 8/8 [00:27<00:00, 2.70s/it] 100%|██████████| 8/8 [00:27<00:00, 3.41s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 173.3ms Speed: 2.7ms preprocess, 173.3ms inference, 21.7ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:01<00:04, 1.46s/it] 50%|█████ | 2/4 [00:02<00:02, 1.37s/it] 75%|███████▌ | 3/4 [00:03<00:01, 1.17s/it] 100%|██████████| 4/4 [00:04<00:00, 1.20it/s] 100%|██████████| 4/4 [00:04<00:00, 1.00s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.2ms Speed: 2.6ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:01<00:04, 1.34s/it] 50%|█████ | 2/4 [00:02<00:02, 1.33s/it] 75%|███████▌ | 3/4 [00:03<00:01, 1.15s/it] 100%|██████████| 4/4 [00:03<00:00, 1.21it/s] 100%|██████████| 4/4 [00:03<00:00, 1.02it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 7.8ms Speed: 2.3ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:01<00:04, 1.37s/it] 50%|█████ | 2/4 [00:02<00:02, 1.36s/it] 75%|███████▌ | 3/4 [00:03<00:01, 1.16s/it] 100%|██████████| 4/4 [00:03<00:00, 1.20it/s] 100%|██████████| 4/4 [00:03<00:00, 1.01it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.