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:
- 8081e4967c23b244e2664ea502d03e5f51cddb543e4930f0e571bcd8b23f7b7e
- Size of remote file:
- 172 MB
- SHA256:
- a87ac879ed200d0730b48829062e794192838eaca273acbafc060dd2bd899d65
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.