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 (18).png from xFutureTechx/Loras_2026_Backup_Old: direct link, hf CLI and curl.
- Browser
- Download file 3.92 MB
-
https://huggingface.co/xFutureTechx/Loras_2026_Backup_Old/resolve/main/Samples/image%20(18).png
- Command line
-
hf download 'hf://xFutureTechx/Loras_2026_Backup_Old/Samples/image (18).png'
-
curl -L -o 'image (18).png' 'https://huggingface.co/xFutureTechx/Loras_2026_Backup_Old/resolve/main/Samples/image%20(18).png'
3.92 MB
.png)
- Xet hash:
- d6e513939ac1f9be39cf4817ae798ef6db6306b0527ccbdbdd09d96b94a8f50b
- Size of remote file:
- 3.92 MB
- SHA256:
- b4966c5c5f4a0a582cfb2c4d023b6a423f049ee5204e784b2a607d31b374764f
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