Instructions to use chamuditha4/TOK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chamuditha4/TOK 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("chamuditha4/TOK") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload sslora.safetensors
Browse files- sslora.safetensors +3 -0
sslora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a02fc3b23e077866aa659ba0929581d15e7a67ac905b39ad7fc9e944cdf6b638
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size 86049800
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