Instructions to use Vijish/subash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vijish/subash 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("Vijish/subash") prompt = "subash9595" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add subash.safetensors
Browse files- subash.safetensors +3 -0
subash.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5fd42454150c07da982ef2170978e52ecbbe19b456763f69c3c16b6924f040bc
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size 89745224
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