import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ThePanopticon/Celebration")
prompt = "Student"
image = pipe(prompt).images[0]Celebration
Model description
A 3d animated young student's dreams.
Trigger words
You should use Student to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
- Downloads last month
- 3
Model tree for ThePanopticon/Celebration
Base model
black-forest-labs/FLUX.1-dev