Instructions to use Muapi/techno-digitalis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/techno-digitalis 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/techno-digitalis") 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/techno-digitalis: direct link, hf CLI and curl.
- Browser
- Download file 1.12 MB
-
https://huggingface.co/Muapi/techno-digitalis/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/techno-digitalis/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/techno-digitalis/resolve/main/preview.jpg
1.12 MB

- Xet hash:
- 56e3dc6c4ae26e934f543232e4f98f907600d9df9b7cf8c876ce14a4cdd75d00
- Size of remote file:
- 1.12 MB
- SHA256:
- 3a24791d643e6ca187b62925d0057cfbc20568d5725846a0dffb4f0f221ef97e
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