Instructions to use samir6565/sofia-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use samir6565/sofia-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("samir6565/sofia-lora") prompt = "Sofia" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a48005f6532a110cf6d3c800a047917b6c350c5037006081bab57c3e3d5568ac
- Size of remote file:
- 89.7 MB
- SHA256:
- 1ea005198b336dd82af123e515897991f83f656bdc3ebec3d134a5f50e362cc1
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