Instructions to use vadimcusnir/vadim-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vadimcusnir/vadim-lora 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("vadimcusnir/vadim-lora") prompt = "VADIM" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download IMG_3971.JPG from vadimcusnir/vadim-lora: direct link, hf CLI and curl.
- Browser
- Download file 415 kB
-
https://huggingface.co/vadimcusnir/vadim-lora/resolve/main/IMG_3971.JPG
- Command line
-
hf download hf://vadimcusnir/vadim-lora/IMG_3971.JPG
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curl -L -o IMG_3971.JPG https://huggingface.co/vadimcusnir/vadim-lora/resolve/main/IMG_3971.JPG
415 kB