Instructions to use MachineDelusions/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MachineDelusions/test1 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("MachineDelusions/test1") prompt = "kxsr riding a bike" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bc1f5036cf140f73cf3cd306e205e261c0e054ee0f013443f9abfb1c00e7265a
- Size of remote file:
- 172 MB
- SHA256:
- c347ed5a3305066ec4831014c0e56601552cf1023308c8455b27ecd48e49d145
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