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("FranACa/Variana")
prompt = "Variana"
image = pipe(prompt).images[0]Variana
Model description
Modelo personal para trabajo de HIP-Lit
Trigger words
You should use Variana 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-general-training.
- Downloads last month
- 2
Model tree for FranACa/Variana
Base model
black-forest-labs/FLUX.1-dev