Instructions to use xFutureTechx/Loras_2026_Backup_Old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/Loras_2026_Backup_Old with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/Loras_2026_Backup_Old", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Samples/image (83).png from xFutureTechx/Loras_2026_Backup_Old: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/xFutureTechx/Loras_2026_Backup_Old/resolve/main/Samples/image%20(83).png
- Command line
-
hf download 'hf://xFutureTechx/Loras_2026_Backup_Old/Samples/image (83).png'
-
curl -L -o 'image (83).png' 'https://huggingface.co/xFutureTechx/Loras_2026_Backup_Old/resolve/main/Samples/image%20(83).png'
3.58 MB
.png)
- Xet hash:
- 39286b4ce0c0babf704a947a5f2ef42b6250952f044b68af3ca9b8c3238e1578
- Size of remote file:
- 3.58 MB
- SHA256:
- 09571c697e31f7717a0313e55e014b010dd7b86899ee2a988b0af41e2bfe23fa
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