Instructions to use rooben/drawing-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rooben/drawing-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("rooben/drawing-lora") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download lora.safetensors from rooben/drawing-lora: direct link, hf CLI and curl.
- Browser
- Download file 172 MB
-
https://huggingface.co/rooben/drawing-lora/resolve/main/lora.safetensors
- Command line
-
hf download hf://rooben/drawing-lora/lora.safetensors
-
curl -L -o lora.safetensors https://huggingface.co/rooben/drawing-lora/resolve/main/lora.safetensors
172 MB
- Xet hash:
- 1d29acbbcb891d34088024853cac0e6932cd90f85db087c5a3faaedf62608691
- Size of remote file:
- 172 MB
- SHA256:
- db8b49ab18a9a41a7870016ca2f3fbb53e9c98811fe3ca445bb68ea03c814241
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.