Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
Not-For-All-Audiences
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("AiAF/ponyDiffusionV6XL_v6StartWithThisOne.safetensors", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("AiAF/D-ART_18DART5_Style-LoRA")

prompt = "18dart3, ASCII high detail,<3, !!, motion lines, rating_safe, perfect face, very close-up, 1girl, Hands on hips Pose, outdoors,  newyork times square street, sunset, , light beams coming in, ((Above Angle)), Nayuta, ringed eyes, red eyes, hair over one eye, single braid, black hair, half closed eyes, yellow eyes,  (Heavy breathing expression), frown, freckles on face, (very red blush), urban clothes, denim jeans, (full body), ((Light Brown Work Boots)), massive breasts, wide hips, bottom heavy, solo, thick eyebrows,  d-art, grin score_9, score_8_up, score_7_up, score_6_up, source_cartoon,"
image = pipe(prompt).images[0]

Not-For-All-Audiences

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