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
saturation
Adjust saturation
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/aa2676d3e77441beb60bd3f9cdfd5220/00000-2294643010.webp
https://files.tungsten.run/uploads/63e57eb1ceae47edb619658cfcbf0753/00001-2294643011.webp
https://files.tungsten.run/uploads/5d03226a0ae04c6b82409e415e98f22e/00002-2294643012.webp
https://files.tungsten.run/uploads/3c2a6055c02a4e7f8b5ba73e55c0058a/00003-2294643013.webp
This example was created by evevalentine2017
Finished in 36.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), (8k, best quality), computer videogame screen with a woman standing, igame menu that says 7 years of love, 1girl, solo, long_hair, black_hair, chinese_clothes, chinese_text Full negative prompt: ((wrong fingers, extra feet, extra hands)),(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer fingers,strange fingers,bad hand, badhandv4 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.50it/s] 10%|█ | 2/20 [00:01<00:12, 1.47it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.47it/s] 20%|██ | 4/20 [00:02<00:10, 1.47it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.46it/s] 30%|███ | 6/20 [00:04<00:09, 1.46it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.46it/s] 40%|████ | 8/20 [00:05<00:08, 1.46it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.46it/s] 50%|█████ | 10/20 [00:06<00:06, 1.46it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.46it/s] 60%|██████ | 12/20 [00:08<00:05, 1.46it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.45it/s] 70%|███████ | 14/20 [00:09<00:04, 1.45it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.45it/s] 80%|████████ | 16/20 [00:10<00:02, 1.45it/s] 85%|████████▌ | 17/20 [00:11<00:02, 1.45it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.45it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.45it/s] 100%|██████████| 20/20 [00:13<00:00, 1.46it/s] 100%|██████████| 20/20 [00:13<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 33.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.30it/s] 20%|██ | 2/10 [00:00<00:01, 4.62it/s] 30%|███ | 3/10 [00:00<00:01, 5.28it/s] 40%|████ | 4/10 [00:00<00:01, 5.63it/s] 50%|█████ | 5/10 [00:00<00:00, 5.82it/s] 60%|██████ | 6/10 [00:01<00:00, 5.85it/s] 70%|███████ | 7/10 [00:01<00:00, 5.92it/s] 80%|████████ | 8/10 [00:01<00:00, 5.91it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.04it/s] 100%|██████████| 10/10 [00:01<00:00, 6.19it/s] 100%|██████████| 10/10 [00:01<00:00, 5.71it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.28it/s] 20%|██ | 2/10 [00:00<00:01, 6.35it/s] 30%|███ | 3/10 [00:00<00:01, 6.33it/s] 40%|████ | 4/10 [00:00<00:00, 6.33it/s] 50%|█████ | 5/10 [00:00<00:00, 6.17it/s] 60%|██████ | 6/10 [00:00<00:00, 6.13it/s] 70%|███████ | 7/10 [00:01<00:00, 6.15it/s] 80%|████████ | 8/10 [00:01<00:00, 6.19it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.23it/s] 100%|██████████| 10/10 [00:01<00:00, 6.32it/s] 100%|██████████| 10/10 [00:01<00:00, 6.25it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.64it/s] 20%|██ | 2/10 [00:00<00:01, 6.48it/s] 30%|███ | 3/10 [00:00<00:01, 6.42it/s] 40%|████ | 4/10 [00:00<00:00, 6.39it/s] 50%|█████ | 5/10 [00:00<00:00, 6.28it/s] 60%|██████ | 6/10 [00:00<00:00, 6.18it/s] 70%|███████ | 7/10 [00:01<00:00, 6.10it/s] 80%|████████ | 8/10 [00:01<00:00, 6.10it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.16it/s] 100%|██████████| 10/10 [00:01<00:00, 6.26it/s] 100%|██████████| 10/10 [00:01<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.37it/s] 20%|██ | 2/10 [00:00<00:01, 6.29it/s] 30%|███ | 3/10 [00:00<00:01, 6.26it/s] 40%|████ | 4/10 [00:00<00:00, 6.25it/s] 50%|█████ | 5/10 [00:00<00:00, 6.25it/s] 60%|██████ | 6/10 [00:00<00:00, 6.19it/s] 70%|███████ | 7/10 [00:01<00:00, 6.25it/s] 80%|████████ | 8/10 [00:01<00:00, 6.24it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.21it/s] 100%|██████████| 10/10 [00:01<00:00, 6.24it/s] 100%|██████████| 10/10 [00:01<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.57it/s] 20%|██ | 2/10 [00:00<00:01, 6.37it/s] 30%|███ | 3/10 [00:00<00:01, 6.32it/s] 40%|████ | 4/10 [00:00<00:00, 6.28it/s] 50%|█████ | 5/10 [00:00<00:00, 6.26it/s] 60%|██████ | 6/10 [00:00<00:00, 6.20it/s] 70%|███████ | 7/10 [00:01<00:00, 6.24it/s] 80%|████████ | 8/10 [00:01<00:00, 6.23it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.18it/s] 100%|██████████| 10/10 [00:01<00:00, 6.20it/s] 100%|██████████| 10/10 [00:01<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.42it/s] 20%|██ | 2/10 [00:00<00:01, 6.35it/s] 30%|███ | 3/10 [00:00<00:01, 6.32it/s] 40%|████ | 4/10 [00:00<00:00, 6.32it/s] 50%|█████ | 5/10 [00:00<00:00, 6.20it/s] 60%|██████ | 6/10 [00:00<00:00, 6.07it/s] 70%|███████ | 7/10 [00:01<00:00, 6.13it/s] 80%|████████ | 8/10 [00:01<00:00, 6.16it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.18it/s] 100%|██████████| 10/10 [00:01<00:00, 6.25it/s] 100%|██████████| 10/10 [00:01<00:00, 6.22it/s] Decoding latents in cuda:0... done in 0.25s 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
saturation
Adjust saturation
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/aa2676d3e77441beb60bd3f9cdfd5220/00000-2294643010.webp
https://files.tungsten.run/uploads/63e57eb1ceae47edb619658cfcbf0753/00001-2294643011.webp
https://files.tungsten.run/uploads/5d03226a0ae04c6b82409e415e98f22e/00002-2294643012.webp
https://files.tungsten.run/uploads/3c2a6055c02a4e7f8b5ba73e55c0058a/00003-2294643013.webp
This example was created by evevalentine2017
Finished in 36.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), (8k, best quality), computer videogame screen with a woman standing, igame menu that says 7 years of love, 1girl, solo, long_hair, black_hair, chinese_clothes, chinese_text Full negative prompt: ((wrong fingers, extra feet, extra hands)),(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer fingers,strange fingers,bad hand, badhandv4 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.50it/s] 10%|█ | 2/20 [00:01<00:12, 1.47it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.47it/s] 20%|██ | 4/20 [00:02<00:10, 1.47it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.46it/s] 30%|███ | 6/20 [00:04<00:09, 1.46it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.46it/s] 40%|████ | 8/20 [00:05<00:08, 1.46it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.46it/s] 50%|█████ | 10/20 [00:06<00:06, 1.46it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.46it/s] 60%|██████ | 12/20 [00:08<00:05, 1.46it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.45it/s] 70%|███████ | 14/20 [00:09<00:04, 1.45it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.45it/s] 80%|████████ | 16/20 [00:10<00:02, 1.45it/s] 85%|████████▌ | 17/20 [00:11<00:02, 1.45it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.45it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.45it/s] 100%|██████████| 20/20 [00:13<00:00, 1.46it/s] 100%|██████████| 20/20 [00:13<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 33.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.30it/s] 20%|██ | 2/10 [00:00<00:01, 4.62it/s] 30%|███ | 3/10 [00:00<00:01, 5.28it/s] 40%|████ | 4/10 [00:00<00:01, 5.63it/s] 50%|█████ | 5/10 [00:00<00:00, 5.82it/s] 60%|██████ | 6/10 [00:01<00:00, 5.85it/s] 70%|███████ | 7/10 [00:01<00:00, 5.92it/s] 80%|████████ | 8/10 [00:01<00:00, 5.91it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.04it/s] 100%|██████████| 10/10 [00:01<00:00, 6.19it/s] 100%|██████████| 10/10 [00:01<00:00, 5.71it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.28it/s] 20%|██ | 2/10 [00:00<00:01, 6.35it/s] 30%|███ | 3/10 [00:00<00:01, 6.33it/s] 40%|████ | 4/10 [00:00<00:00, 6.33it/s] 50%|█████ | 5/10 [00:00<00:00, 6.17it/s] 60%|██████ | 6/10 [00:00<00:00, 6.13it/s] 70%|███████ | 7/10 [00:01<00:00, 6.15it/s] 80%|████████ | 8/10 [00:01<00:00, 6.19it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.23it/s] 100%|██████████| 10/10 [00:01<00:00, 6.32it/s] 100%|██████████| 10/10 [00:01<00:00, 6.25it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.64it/s] 20%|██ | 2/10 [00:00<00:01, 6.48it/s] 30%|███ | 3/10 [00:00<00:01, 6.42it/s] 40%|████ | 4/10 [00:00<00:00, 6.39it/s] 50%|█████ | 5/10 [00:00<00:00, 6.28it/s] 60%|██████ | 6/10 [00:00<00:00, 6.18it/s] 70%|███████ | 7/10 [00:01<00:00, 6.10it/s] 80%|████████ | 8/10 [00:01<00:00, 6.10it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.16it/s] 100%|██████████| 10/10 [00:01<00:00, 6.26it/s] 100%|██████████| 10/10 [00:01<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.37it/s] 20%|██ | 2/10 [00:00<00:01, 6.29it/s] 30%|███ | 3/10 [00:00<00:01, 6.26it/s] 40%|████ | 4/10 [00:00<00:00, 6.25it/s] 50%|█████ | 5/10 [00:00<00:00, 6.25it/s] 60%|██████ | 6/10 [00:00<00:00, 6.19it/s] 70%|███████ | 7/10 [00:01<00:00, 6.25it/s] 80%|████████ | 8/10 [00:01<00:00, 6.24it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.21it/s] 100%|██████████| 10/10 [00:01<00:00, 6.24it/s] 100%|██████████| 10/10 [00:01<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.57it/s] 20%|██ | 2/10 [00:00<00:01, 6.37it/s] 30%|███ | 3/10 [00:00<00:01, 6.32it/s] 40%|████ | 4/10 [00:00<00:00, 6.28it/s] 50%|█████ | 5/10 [00:00<00:00, 6.26it/s] 60%|██████ | 6/10 [00:00<00:00, 6.20it/s] 70%|███████ | 7/10 [00:01<00:00, 6.24it/s] 80%|████████ | 8/10 [00:01<00:00, 6.23it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.18it/s] 100%|██████████| 10/10 [00:01<00:00, 6.20it/s] 100%|██████████| 10/10 [00:01<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.42it/s] 20%|██ | 2/10 [00:00<00:01, 6.35it/s] 30%|███ | 3/10 [00:00<00:01, 6.32it/s] 40%|████ | 4/10 [00:00<00:00, 6.32it/s] 50%|█████ | 5/10 [00:00<00:00, 6.20it/s] 60%|██████ | 6/10 [00:00<00:00, 6.07it/s] 70%|███████ | 7/10 [00:01<00:00, 6.13it/s] 80%|████████ | 8/10 [00:01<00:00, 6.16it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.18it/s] 100%|██████████| 10/10 [00:01<00:00, 6.25it/s] 100%|██████████| 10/10 [00:01<00:00, 6.22it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.