PVC v3

This model is a latent diffusion model finetuned on Waifu Diffusion v1.5 beta 2 with PVC figure images. You can use Danbooru tags to generate images.

Downloads

Please use WD's vae to get good results!

Also, you can use badquality embedding in negative prompt!

Prompt guide

Trigger words

• pvc means the pvc material style but not needed always.

• figma is the figure style that has joints, and more tend to be product thumbnail images. Use with doll joints to get better joints.

• nendoroid means the style of chibi figures. Use with chibi to get better results.

Tips

The PVC figure style is closer to the anime style than to the realistic style. So, it is recommended to put anime to positive prompt or realistic to negative prompt to get better results sometimes. If you want to avoid too realistic faces, try this!

Examples

Training information

🧨 Diffusers

Using the 🤗's Diffusers library to run Stable Diffusion 2 in a simple and efficient manner.

pip install diffusers transformers accelerate scipy safetensors
pip install --pre xformers

Using StableDiffusionPipeline:

import torch
from diffusers import StableDiffusionPipeline

model_id = "p1atdev/pvc-v3"
revision = "fp16" # "main" or "fp16"

pipe = StableDiffusionPipeline.from_pretrained(
 model_id, 
 revision=revision, 
 torch_dtype=torch.float16,
)
pipe = pipe.to("cuda")
pipe.enable_attention_slicing()
pipe.enable_xformers_memory_efficient_attention() # required

prompt = "pvc, masterpiece, best quality, exceptional, 1girl, cat ears, red hair, long hair, hairpin, swept bangs, yellow eyes, black jacket, white shirt, blue tie, white gloves, hand up, upper body, looking at viewer, buildings"
negative_prompt = "nsfw, nude, worst quality, low quality, oldest, bad anatomy"
image = pipe(
 prompt, 
 negative_prompt=negative_prompt,
 guidance_scale=7.0,
 num_inference_steps=20
).images[0]

# save image
image.save("pvc_figure.png")

# or just display it
# display(image)

Using StableDiffusionLongPromptWeightingPipeline:

import torch
from diffusers import DiffusionPipeline

model_id = "p1atdev/pvc-v3"
revision = "fp16" # "main" or "fp16"

pipe = DiffusionPipeline.from_pretrained(
 model_id, 
 revision=revision, 
 torch_dtype=torch.float16,
 custom_pipeline="lpw_stable_diffusion"
)
pipe = pipe.to("cuda")
pipe.enable_attention_slicing()
pipe.enable_xformers_memory_efficient_attention() # required

prompt = """
pvc, anime, masterpiece, best quality, exceptional,
1girl, bangs, bare shoulders, beret, black hair, black shorts, blue hair, bracelet, breasts, buttons,
colored inner hair, double-breasted, eyewear removed, green headwear, green jacket, grey eyes, grey sky,
hat, jacket, jewelry, long hair, looking at viewer, multicolored hair, neck ring, o-ring, off shoulder, rain,
round eyewear, shorts, sidelocks, small breasts, solo, sunglasses, wavy hair, wet, zipper
""" # long prompt

negative_prompt = "nsfw, nude, worst quality, low quality, oldest, bad anatomy"
image = pipe(
 prompt, 
 negative_prompt=negative_prompt,
 guidance_scale=7.0,
 num_inference_steps=20
).images[0]

display(image)

License

PVC v3 is released under the Fair AI Public License 1.0-SD (https://freedevproject.org/faipl-1.0-sd/). If any derivative of this model is made, please share your changes accordingly. Special thanks to ronsor/undeleted (https://undeleted.ronsor.com/) for help with the license.

Finetuned stable diffusion model for generating pvc figure images. • 4 items • Updated Apr 24, 2024 • 2