Instructions to use Muapi/flux-twinx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/flux-twinx 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-twinx") 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-twinx: direct link, hf CLI and curl.
- Browser
- Download file 183 kB
-
https://huggingface.co/Muapi/flux-twinx/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/flux-twinx/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/flux-twinx/resolve/main/preview.jpg
183 kB

- Xet hash:
- 50fc1d1ef6ce673a85344bcd08d29274dcadf5b6015d2db95e007fba2bfd736a
- Size of remote file:
- 183 kB
- SHA256:
- 254446a9231bf17d11429d5aae5f0a67c4807c222c987db6660de43ae4298954
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