Instructions to use Hashintha/test-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hashintha/test-2 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("Hashintha/test-2") prompt = "MODEL" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 684e80597d890879ab51c94db920ae8f042a52edcefc94420435f0ba8662da5a
- Size of remote file:
- 172 MB
- SHA256:
- 72198ae378c80a34fbcde2bc6689435394dab01f4f3e0ec50f929b4fea19c008
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