Instructions to use ChandrilBasu/Shalini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/Shalini 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/Shalini") prompt = "Shalini" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add Shalini.safetensors
Browse files- Shalini.safetensors +3 -0
Shalini.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0fafdbb3eba77afdafd5f233accf8f35fc9f30a67a26068a0c4638f2f32813cc
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size 89745224
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