Instructions to use ChandrilBasu/Y with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/Y 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/Y") prompt = "Yana" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add Y.safetensors
Browse files- Y.safetensors +3 -0
Y.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3947fe8ec7cd988297e62b60f25a537eb2bad684457391bdcc82c49867a52d8
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size 89745224
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