Instructions to use rockerBOO/flux.1-dev-SRPO-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rockerBOO/flux.1-dev-SRPO-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
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("rockerBOO/flux.1-dev-SRPO-LoRA") prompt = "She is in modern street wear in a city along a bridge at sunset." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("rockerBOO/flux.1-dev-SRPO-LoRA")
prompt = "She is in modern street wear in a city along a bridge at sunset."
image = pipe(prompt).images[0]- Downloads last month
- 48
Model tree for rockerBOO/flux.1-dev-SRPO-LoRA
Base model
black-forest-labs/FLUX.1-dev







