Instructions to use Hashintha/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hashintha/test 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") prompt = "MODEL" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 90195fd943176e6231b7307879d3920f87e816cf663ab6671bb5b9fdde8320e3
- Size of remote file:
- 172 MB
- SHA256:
- 41e0804c3f185532386098f0724cb45caeb214128457e247da6c659c579effd9
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