Instructions to use Muapi/selfie-support with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/selfie-support 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/selfie-support") 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/selfie-support: direct link, hf CLI and curl.
- Browser
- Download file 119 kB
-
https://huggingface.co/Muapi/selfie-support/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/selfie-support/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/selfie-support/resolve/main/preview.jpg
119 kB

- Xet hash:
- 7d764806164fb7bffd8ac5335a427a25abb6bdeb805e70d79c124bd49e145df7
- Size of remote file:
- 119 kB
- SHA256:
- 6b2163439d330dbfc3aa9bec6cc73f95960423cd84320ec0260f560d219337f6
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