Instructions to use Matb09/testtestest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matb09/testtestest 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("Matb09/testtestest") prompt = "Photo of matteo" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 61e278a941a8603a202dfb0694fb87071229c0831aa3577b22abcb90cba41637
- Size of remote file:
- 173 MB
- SHA256:
- 3f72bd9d41d756418e88b34f77bbffee4ca208c8d9ae414d51ab22ec67cfb73e
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