Instructions to use Freepik/flux.1-lite-8B-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Freepik/flux.1-lite-8B-alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Freepik/flux.1-lite-8B-alpha", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Is there a Lora version of this model?
#10
by Vigilence - opened
Is there a chance we can get a lora extracted from this model?
I'm not sure what you mean, but I think the answer is no regardless.
You would have to be familiar with model fine tuning, training to understand the question. Otherwise, what's the point in answering? Appreciate the try though.
I know what "extracting a LoRA" usually means in the context of fine-tuning, I just don't see what it could mean in this specific situation.
u could always do it yourself