Instructions to use MLbackup/Loras_2026_Backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLbackup/Loras_2026_Backup with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MLbackup/Loras_2026_Backup", 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
- Draw Things
- DiffusionBee
Upload via Enhanced Utilities Widget 🤗 (file 1/8)
Browse files
sept22/CrissXvoor_New-000001.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a346872318dd746ae035115f7e597f5807e9f4165b0a7a6d126de1ed94cf7ed0
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size 228464984
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