import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("davidjaymes/dj_flux-lora-fast_anat-true")
prompt = "anat-true"
image = pipe(prompt).images[0]dj_flux lora fast_anat true
Model description
Custom LoRa trained on Fal.ai for "anat-true", an AV star.
Trigger words
You should use anat-true 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 davidjaymes/dj_flux-lora-fast_anat-true
Base model
black-forest-labs/FLUX.1-dev