Instructions to use prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Flux.1-Dev-Frosted-Container-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-Frosted-Container-LoRA") prompt = "frosted GC, a pristine white jar, adorned with a silver lid, is adorned with the words \"Spirulina\" in bold black lettering. The jar is set against a light blue backdrop, creating a stark contrast to the jars contents. A barcode is visible on the jar, adding a pop of color to the composition." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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frosted-gc.safetensors
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size 612746896
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images/e822e6cfcda2a49a008ecbdc5b26bea6.jpg
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Git LFS Details
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