Instructions to use dvyio/flux-lora-myst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dvyio/flux-lora-myst 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("dvyio/flux-lora-myst") prompt = "Tower Bridge, in the style of MST" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1ac163affbd0336e64c75d90d18bcfeea8348fb0b24db46f3d25fd49550de974
- Size of remote file:
- 89.7 MB
- SHA256:
- 16c995d82fcf5a44f552abc89a3adf0d45cbba87e5385e3eedf43eccef3e2dd1
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