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 character_lora.safetensors from flymy-ai/flux-dev-lora-example: direct link, hf CLI and curl.
- Browser
- Download file 179 MB
-
https://huggingface.co/flymy-ai/flux-dev-lora-example/resolve/main/character_lora.safetensors
- Command line
-
hf download hf://flymy-ai/flux-dev-lora-example/character_lora.safetensors
-
curl -L -o character_lora.safetensors https://huggingface.co/flymy-ai/flux-dev-lora-example/resolve/main/character_lora.safetensors
179 MB
- Xet hash:
- d6f2bed43208ecce0e2e10f5ff62b245f005677c6b8ddff7a2e26bb2e060bcd0
- Size of remote file:
- 179 MB
- SHA256:
- 130f2744a42ee2eb1b09205401e0518345677c58ae83c5d527f4486414b1d0ac
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.