Instructions to use Efpbrasil/bapa-lorav2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Efpbrasil/bapa-lorav2 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("Efpbrasil/bapa-lorav2") prompt = "BAPA" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download lora.safetensors from Efpbrasil/bapa-lorav2: direct link, hf CLI and curl.
- Browser
- Download file 172 MB
-
https://huggingface.co/Efpbrasil/bapa-lorav2/resolve/main/lora.safetensors
- Command line
-
hf download hf://Efpbrasil/bapa-lorav2/lora.safetensors
-
curl -L -o lora.safetensors https://huggingface.co/Efpbrasil/bapa-lorav2/resolve/main/lora.safetensors
172 MB
- Xet hash:
- f4051fdc9aadbdc5720b7d00e15f227ec4ad0d2ec75efc9aba88c062cf5e2383
- Size of remote file:
- 172 MB
- SHA256:
- 5307e95dec292e70566a3541e15c4765196c069140deef5ce41c5abeafe784ee
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