Instructions to use ChandrilBasu/Somdev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/Somdev 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/Somdev") prompt = "Somdev" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4213850c82beb4698858de6844d706234a99b7fad05d406ce4cb0c433de7ada2
- Size of remote file:
- 89.7 MB
- SHA256:
- 647c49c03640fd32a90260d3781288f57d5542f0766a5fc531170b1a0493c3a7
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