Instructions to use yachty66/flux_dev_lora_me_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yachty66/flux_dev_lora_me_v2 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("yachty66/flux_dev_lora_me_v2") prompt = "woman with red hair, playing chess at the park, bomb going off in the background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download optimizer.pt from yachty66/flux_dev_lora_me_v2: direct link, hf CLI and curl.
- Browser
- Download file 176 MB
-
https://huggingface.co/yachty66/flux_dev_lora_me_v2/resolve/main/optimizer.pt
- Command line
-
hf download hf://yachty66/flux_dev_lora_me_v2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/yachty66/flux_dev_lora_me_v2/resolve/main/optimizer.pt
176 MB
- Xet hash:
- f26d8ed6e5a7b9f2fcc14b74f7501d5ec5fcf6ab348700006a2704c34e354a98
- Size of remote file:
- 176 MB
- SHA256:
- 60d1378579d80fd232ac6647c38ad0bb04fb5fe1fb06b08ca328e66422dbca89
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