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 (34).png from xFutureTechx/Loras_2026_Backup_Old: direct link, hf CLI and curl.
- Browser
- Download file 5.05 MB
-
https://huggingface.co/xFutureTechx/Loras_2026_Backup_Old/resolve/main/Samples/image%20(34).png
- Command line
-
hf download 'hf://xFutureTechx/Loras_2026_Backup_Old/Samples/image (34).png'
-
curl -L -o 'image (34).png' 'https://huggingface.co/xFutureTechx/Loras_2026_Backup_Old/resolve/main/Samples/image%20(34).png'
5.05 MB
.png)
- Xet hash:
- 5a8106989552d46f6f6d4a2152e5615167dfacc69a2a4ed6c5b99adce1cfc92b
- Size of remote file:
- 5.05 MB
- SHA256:
- 57a77fb9ecdfc4a070e727b9c52eafb4ff66624da4a3f1630136b2b0109bd9d7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.