Diffusers How to use Ethanverdin1/Train with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("meta-llama/Llama-2-7b-hf", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Ethanverdin1/Train")
prompt = "\"Ultra-advanced rejuvenation chamber, touchless healing field, anti-radiation energy cleansing, full-body vitamin infusion via bioluminescent nanoflow, organic non-toxic nutrient cloud, AI-pulsed cell regeneration, non-invasive energy dome restoring all body functions, human figure surrounded by soft plasma light, no cancer risk, no radiation, futuristic clean medical interface, advanced biosafe particle system, 100% safe frequency waves, instant body repair holographs, healing aura effect, serum-free recovery, immune calibration field, self-correcting DNA structures, molecular rebalance zone, ambient harmonic tones, high-frequency touchless field\"\"Futuristic medical lab, advanced healing technology curing all deficiencies, synthetic-organic regeneration machines, cellular repair units, nano-infuser therapy, neural calibration devices, advanced vitamin and mineral restoration, full-body recovery system, AI-controlled diagnostic holograms, glowing medical nanobots in bloodstream, radiant aura of wellness, detailed biotech interfaces, clean white environment, soft lighting, cutting-edge surgical precision, bio-enhanced nutrition injection, peaceful patient experience, futuristic medical symbols, high-tech displays showing full recovery metrics\""
image = pipe(prompt).images[0] 
