Instructions to use flymy-ai/flux-dev-lora-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flymy-ai/flux-dev-lora-example 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("flymy-ai/flux-dev-lora-example") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 3c5769090a00c864667023cb966f5a67b96e77798df76dee2b7991416e5e729c
- Size of remote file:
- 64.8 kB
- SHA256:
- 41cb493191be80cf698caaaad02b0affedc1cf4c99e3fc2fc4d46f3a74d5e414
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