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pvc-style-model
pvc-style-model

pvc-style-model

11 stars
Version: pony-v1.60
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
Detailer
Detailer
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/ec7192f78aa94e71b90fd95758b9122c/output-8416e0c14b7e4f6a9803d10c3614a35c-00000-1823861434.webp
https://files.tungsten.run/uploads/39f105a13a3a42e5a3a234ee1cf822a2/output-e0ea05d756dc47f6a96096ea08a53b05-00001-1823861435.webp
https://files.tungsten.run/uploads/298583f142ca4abf9bc8d110418496b9/output-bbec218e3c674c5aace1a8da46e60d38-00002-1823861436.webp
This example was created by zennerhenric
Finished in 58.0 seconds
Using seed 1823861434 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9,score_8_up,score_7_up,source_anime, 1girl, ganyu \(genshin impact\), solo, leotard, long hair, blue hair, breasts, horns, purple eyes, looking at viewer, lifted by self, gloves, bell, wet, detached sleeves, bare shoulders, leotard under clothes, wading, smile, groin, black leotard, clothes lift, pantyhose, bodystocking, black gloves, ahoge, covered navel, wet clothes, water, blush, highleg, vision \(genshin impact\), neck bell, standing, highleg leotard, white sleeves, long sleeves, large breasts, black pantyhose, medium breasts, sidelocks, outdoors, cowbell, thighs, closed mouth, very long hair, gold trim, cowboy shot, brown pantyhose, goat horns, partially submerged, pelvic curtain, waterfall Full negative prompt: mutated hands and fingers,bad feet,shiny_skin,watermark,score_4,score_3,score_2,score_1,simple background, 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:20, 1.14it/s] 8%|▊ | 2/24 [00:01<00:19, 1.15it/s] 12%|█▎ | 3/24 [00:02<00:18, 1.16it/s] 17%|█▋ | 4/24 [00:03<00:17, 1.16it/s] 21%|██ | 5/24 [00:04<00:16, 1.16it/s] 25%|██▌ | 6/24 [00:05<00:15, 1.16it/s] 29%|██▉ | 7/24 [00:06<00:14, 1.16it/s] 33%|███▎ | 8/24 [00:06<00:13, 1.16it/s] 38%|███▊ | 9/24 [00:07<00:12, 1.16it/s] 42%|████▏ | 10/24 [00:08<00:12, 1.16it/s] 46%|████▌ | 11/24 [00:09<00:11, 1.16it/s] 50%|█████ | 12/24 [00:10<00:10, 1.16it/s] 54%|█████▍ | 13/24 [00:11<00:09, 1.16it/s] 58%|█████▊ | 14/24 [00:12<00:08, 1.16it/s] 62%|██████▎ | 15/24 [00:12<00:07, 1.16it/s] 67%|██████▋ | 16/24 [00:13<00:06, 1.16it/s] 71%|███████ | 17/24 [00:14<00:06, 1.16it/s] 75%|███████▌ | 18/24 [00:15<00:05, 1.16it/s] 79%|███████▉ | 19/24 [00:16<00:04, 1.16it/s] 83%|████████▎ | 20/24 [00:17<00:03, 1.16it/s] 88%|████████▊ | 21/24 [00:18<00:02, 1.16it/s] 92%|█████████▏| 22/24 [00:19<00:01, 1.15it/s] 96%|█████████▌| 23/24 [00:19<00:00, 1.15it/s] 100%|██████████| 24/24 [00:20<00:00, 1.16it/s] 100%|██████████| 24/24 [00:20<00:00, 1.16it/s] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 163.4ms Speed: 3.6ms preprocess, 163.4ms inference, 34.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.35it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.49it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.56it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.58it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.60it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.62it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.62it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.63it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.64it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.65it/s] 100%|██████████| 11/11 [00:06<00:00, 1.66it/s] 100%|██████████| 11/11 [00:06<00:00, 1.61it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 19.5ms Speed: 3.5ms preprocess, 19.5ms inference, 3.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.61it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.60it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.61it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.62it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.62it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.61it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.62it/s] 73%|███████▎ | 8/11 [00:04<00:01, 1.62it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.61it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.62it/s] 100%|██████████| 11/11 [00:06<00:00, 1.63it/s] 100%|██████████| 11/11 [00:06<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.3ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.62it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.62it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.62it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.63it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.63it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.60it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.61it/s] 73%|███████▎ | 8/11 [00:04<00:01, 1.61it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.62it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.61it/s] 100%|██████████| 11/11 [00:06<00:00, 1.63it/s] 100%|██████████| 11/11 [00:06<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
Detailer
Detailer
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/ec7192f78aa94e71b90fd95758b9122c/output-8416e0c14b7e4f6a9803d10c3614a35c-00000-1823861434.webp
https://files.tungsten.run/uploads/39f105a13a3a42e5a3a234ee1cf822a2/output-e0ea05d756dc47f6a96096ea08a53b05-00001-1823861435.webp
https://files.tungsten.run/uploads/298583f142ca4abf9bc8d110418496b9/output-bbec218e3c674c5aace1a8da46e60d38-00002-1823861436.webp
This example was created by zennerhenric
Finished in 58.0 seconds
Using seed 1823861434 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9,score_8_up,score_7_up,source_anime, 1girl, ganyu \(genshin impact\), solo, leotard, long hair, blue hair, breasts, horns, purple eyes, looking at viewer, lifted by self, gloves, bell, wet, detached sleeves, bare shoulders, leotard under clothes, wading, smile, groin, black leotard, clothes lift, pantyhose, bodystocking, black gloves, ahoge, covered navel, wet clothes, water, blush, highleg, vision \(genshin impact\), neck bell, standing, highleg leotard, white sleeves, long sleeves, large breasts, black pantyhose, medium breasts, sidelocks, outdoors, cowbell, thighs, closed mouth, very long hair, gold trim, cowboy shot, brown pantyhose, goat horns, partially submerged, pelvic curtain, waterfall Full negative prompt: mutated hands and fingers,bad feet,shiny_skin,watermark,score_4,score_3,score_2,score_1,simple background, 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:20, 1.14it/s] 8%|▊ | 2/24 [00:01<00:19, 1.15it/s] 12%|█▎ | 3/24 [00:02<00:18, 1.16it/s] 17%|█▋ | 4/24 [00:03<00:17, 1.16it/s] 21%|██ | 5/24 [00:04<00:16, 1.16it/s] 25%|██▌ | 6/24 [00:05<00:15, 1.16it/s] 29%|██▉ | 7/24 [00:06<00:14, 1.16it/s] 33%|███▎ | 8/24 [00:06<00:13, 1.16it/s] 38%|███▊ | 9/24 [00:07<00:12, 1.16it/s] 42%|████▏ | 10/24 [00:08<00:12, 1.16it/s] 46%|████▌ | 11/24 [00:09<00:11, 1.16it/s] 50%|█████ | 12/24 [00:10<00:10, 1.16it/s] 54%|█████▍ | 13/24 [00:11<00:09, 1.16it/s] 58%|█████▊ | 14/24 [00:12<00:08, 1.16it/s] 62%|██████▎ | 15/24 [00:12<00:07, 1.16it/s] 67%|██████▋ | 16/24 [00:13<00:06, 1.16it/s] 71%|███████ | 17/24 [00:14<00:06, 1.16it/s] 75%|███████▌ | 18/24 [00:15<00:05, 1.16it/s] 79%|███████▉ | 19/24 [00:16<00:04, 1.16it/s] 83%|████████▎ | 20/24 [00:17<00:03, 1.16it/s] 88%|████████▊ | 21/24 [00:18<00:02, 1.16it/s] 92%|█████████▏| 22/24 [00:19<00:01, 1.15it/s] 96%|█████████▌| 23/24 [00:19<00:00, 1.15it/s] 100%|██████████| 24/24 [00:20<00:00, 1.16it/s] 100%|██████████| 24/24 [00:20<00:00, 1.16it/s] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 163.4ms Speed: 3.6ms preprocess, 163.4ms inference, 34.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.35it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.49it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.56it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.58it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.60it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.62it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.62it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.63it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.64it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.65it/s] 100%|██████████| 11/11 [00:06<00:00, 1.66it/s] 100%|██████████| 11/11 [00:06<00:00, 1.61it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 19.5ms Speed: 3.5ms preprocess, 19.5ms inference, 3.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.61it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.60it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.61it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.62it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.62it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.61it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.62it/s] 73%|███████▎ | 8/11 [00:04<00:01, 1.62it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.61it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.62it/s] 100%|██████████| 11/11 [00:06<00:00, 1.63it/s] 100%|██████████| 11/11 [00:06<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.3ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.62it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.62it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.62it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.63it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.63it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.60it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.61it/s] 73%|███████▎ | 8/11 [00:04<00:01, 1.61it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.62it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.61it/s] 100%|██████████| 11/11 [00:06<00:00, 1.63it/s] 100%|██████████| 11/11 [00:06<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s Uploading files.. Finished.