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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 49fef5907b3962c2a83f29ddc8116773b58a3b3aaef17b73f40448a3a63128c5
- Size of remote file:
- 1.31 MB
- SHA256:
- f0f1215bb923a510fe1ee65e193ab9370433ce8ff36ae0f01243ba714bc94402
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