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 (86).png from xFutureTechx/Loras_2026_Backup_Old: direct link, hf CLI and curl.
- Browser
- Download file 2.12 MB
-
https://huggingface.co/xFutureTechx/Loras_2026_Backup_Old/resolve/main/Samples/image%20(86).png
- Command line
-
hf download 'hf://xFutureTechx/Loras_2026_Backup_Old/Samples/image (86).png'
-
curl -L -o 'image (86).png' 'https://huggingface.co/xFutureTechx/Loras_2026_Backup_Old/resolve/main/Samples/image%20(86).png'
2.12 MB
.png)
- Xet hash:
- 50d5f448ec2196c254b139094376a8309fe2dcb6b8b05396abcfed69e167e897
- Size of remote file:
- 2.12 MB
- SHA256:
- 918c849f6aa2989aaaf98c896dc04f13117161cd5b3b51f743a1a6a5a14bfbd0
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