Instructions to use prithivMLmods/Golden-Dust-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Golden-Dust-Flux-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("prithivMLmods/Golden-Dust-Flux-LoRA") prompt = "Golden Dust, A close-up shot of a golden retriever dogs face is seen in a vibrant orange hue. The dogs fur is a mix of brown and white, and the dogs nose is a darker shade of brown. Its eyes are a deep brown, and its ears are a lighter brown. The background is blurred, and there are small orange dots dotting the fur around its neck, adding a festive touch to the scene." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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