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:
- 4a0e17dc65ec419983ffb3ac98003c4137b9f94633cadcc11810fee82699e677
- Size of remote file:
- 239 kB
- SHA256:
- 89eda7edf7f49699d7a50211cd5e0e74a89b99243255da64477be8a191a0b2ff
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