Instructions to use urgavega/ig-model-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use urgavega/ig-model-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("urgavega/ig-model-lora") prompt = "IRINI" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Delete config.yaml
Verified signature218fe11 -
Delete lora.safetensors
Verified signature974d8a8
-
Upload folder using huggingface_hub
Verified signature7327217 -
Delete lora.safetensors
Verified signature742a674 -
Delete optimizer.pt
Verified signaturea8ab2f7 -
Delete flux_train_replicate.safetensors
Verified signatured177e82 -
Upload folder using huggingface_hub
Verified signatureaf082de
-
Upload folder using huggingface_hub
Verified signature0e9f437 -
initial commit
Verified signaturee66933d