Instructions to use ChandrilBasu/KB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/KB 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("ChandrilBasu/KB") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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KULBHUSHAN.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:667cefce7297b0b17c5c3feccb3bbdaea3b2ec8676faed88985d1c9d173ece03
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size 89745224
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images/ec12f6c1-896c-4c7d-a3d1-724a96b550e5.png
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Git LFS Details
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