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

- Xet hash:
- aafd423dbe7068fa48f85d04fe61b5e5d93822a23edea0dc51856e91465fbc33
- Size of remote file:
- 460 kB
- SHA256:
- e4ae350f9e6b8da92a04010dbcf74b4598553c1e44c0d338e87415eb679869da
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