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:
- f6e90e83ca2987dd873b940c90ab735aadde00837030180b484b18b9b3595ce1
- Size of remote file:
- 344 MB
- SHA256:
- 8a1230ae24b6ba0ce1ff6a6f8d70cdcd9271b5b1593bbbf7a06359ef417eb965
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