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
Download assets/generations/gen3.jpg from flymy-ai/flux-dev-lora-example: direct link, hf CLI and curl.
- Browser
- Download file 1.4 MB
-
https://huggingface.co/flymy-ai/flux-dev-lora-example/resolve/main/assets/generations/gen3.jpg
- Command line
-
hf download hf://flymy-ai/flux-dev-lora-example/assets/generations/gen3.jpg
-
curl -L -o gen3.jpg https://huggingface.co/flymy-ai/flux-dev-lora-example/resolve/main/assets/generations/gen3.jpg
1.4 MB

- Xet hash:
- 219b29c5b3a8981293d0e18f3e021754d598c7a956ca8695d4ab06d157ff1789
- Size of remote file:
- 1.4 MB
- SHA256:
- 989eb0f97ddfd6ddb49bea83b0be949611c8f834ec971e6b44fc81c41ba75f84
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