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 (4).png from xFutureTechx/Loras_2026_Backup_Old: direct link, hf CLI and curl.
- Browser
- Download file 4.76 MB
-
https://huggingface.co/xFutureTechx/Loras_2026_Backup_Old/resolve/main/Samples/image%20(4).png
- Command line
-
hf download 'hf://xFutureTechx/Loras_2026_Backup_Old/Samples/image (4).png'
-
curl -L -o 'image (4).png' 'https://huggingface.co/xFutureTechx/Loras_2026_Backup_Old/resolve/main/Samples/image%20(4).png'
4.76 MB
.png)
- Xet hash:
- 1b7fc9c21b3bf868d1b88d84d453edc97bcfcb88ec89fd1206f2b69d9d65b93a
- Size of remote file:
- 4.76 MB
- SHA256:
- 7439b724e13860baed22ed9e32e31fe75578dda77ec3f1646a3ad1e55d31dd8f
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