Instructions to use pascalrascal777/rufustest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pascalrascal777/rufustest 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("pascalrascal777/rufustest") prompt = "rufustest" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ef890b5871752a409e505bebee55ffd5b7d404a4825e86ee6514184cd5b42aa1
- Size of remote file:
- 172 MB
- SHA256:
- 8f09a1529472399180e0e815e40c37f5fe6d97b689a21425ffd7e85c6190d74c
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