Instructions to use Muapi/flux-posters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/flux-posters 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("Muapi/flux-posters") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download preview.jpg from Muapi/flux-posters: direct link, hf CLI and curl.
- Browser
- Download file 457 kB
-
https://huggingface.co/Muapi/flux-posters/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/flux-posters/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/flux-posters/resolve/main/preview.jpg
457 kB

- Xet hash:
- be609c8f6ad19e65c3c09f69e87b123a22db3228e7c638ec2b13f2411341ca5a
- Size of remote file:
- 457 kB
- SHA256:
- f80727d479f42d0d3dff1ac9da2c0686a383129abec1c89b6fde435d0c69fde9
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