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", torch_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:
- a472bd6424dcb776435d134f923155e4f5e61f87808c687bcdcd16e2bef20e08
- Size of remote file:
- 172 MB
- SHA256:
- c2820744700fd3797ba6d4c0836104eee70b767cc98eab9d5d9ca56db5ddecfa
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