Instructions to use francsharma/francf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use francsharma/francf 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("francsharma/francf") prompt = "francf" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add francf.safetensors
Browse files- francf.safetensors +3 -0
francf.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:54feb03cf6444b26bbc20d50968a7544d920cf95a618bb1a3737fd42831d398a
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size 89745224
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