Diffusers How to use vargr99/Celeste_GV-Eval with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("barusun1/anima-base-1-loras", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("vargr99/Celeste_GV-Eval")
prompt = " masterpiece, very aesthetic, best quality, score_7, /(WolfPack/), Celeste_GV, 1girl, solo, dark skin, dark-skinned female, afro, curly hair, black hair, hazel eyes, thick eyebrows, athletic, wide hips, medium breasts, toned midriff, A confident Afro-Caribbean woman with dark mocha skin, warm hazel eyes, and a voluminous afro of thick dark curls. She has an athletic figure with wide hips and a slim toned waist, seductive smile, parted lips, flirty. oversized clothes, off-shoulder sweater, knit sweater, bare shoulders, tiny lace panties, midriff, navel, socks, reclining, one knee up, dappled sunlight, warm glow modern minimalist bedroom, white walls, platform bed with grey bedding, floor-to-ceiling windows, natural light, hardwood floors, simple nightstand, geometric art, clean aesthetic harsh overhead lighting, stark contrast, industrial atmosphere arms crossed loosely, weight shifted to one hip, chest-up close angle"
image = pipe(prompt).images[0] 
