Instructions to use Cristiants/fal-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cristiants/fal-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("Cristiants/fal-lora") prompt = "sandals" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add fal-lora.safetensors
Browse files- fal-lora.safetensors +3 -0
fal-lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c405785e731a11eadae09f578345d69ea37897116b99e0e05ccc65a96dceab5b
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size 89745224
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