Instructions to use ChandrilBasu/Desi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/Desi 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/Desi") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- DESI-000001.safetensors +3 -0
- images/Capture.PNG +3 -0
DESI-000001.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:21bcbb44fddad457e9b0a7ff89f855b5c33f1357cd2bdbc03d6a9c6f2456db01
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size 89745224
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images/Capture.PNG
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Git LFS Details
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