Instructions to use prithivMLmods/Flux.1-Dev-Quote-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Flux.1-Dev-Quote-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/Flux.1-Dev-Quote-LoRA") prompt = "quoter, A white background with a brown cross-shaped sticker that reads \"Shes an old soul with young eyes, a vintage heart, and a beautiful mind.\"" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- eb3d05008f863a30f5d8f341e8f5d02f9ceaa89cd06d70958436130b134c11d3
- Size of remote file:
- 253 kB
- SHA256:
- 39ec1a778f939a276211530a4f3137a644b705336b6790e99f0e645e75b219c6
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