Instructions to use Muapi/phandigrams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/phandigrams 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/phandigrams") 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/phandigrams: direct link, hf CLI and curl.
- Browser
- Download file 239 kB
-
https://huggingface.co/Muapi/phandigrams/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/phandigrams/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/phandigrams/resolve/main/preview.jpg
239 kB

- Xet hash:
- b48f76e8f4e876de9f2107f95a8fdbf5001d9ae6717afb9095b1719e97f6e2d1
- Size of remote file:
- 239 kB
- SHA256:
- da942e057a2ac4be651d0badb5efc80f30d1a7f406813b496b5d593907a2c377
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