Instructions to use MLbackup/9_2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLbackup/9_2025 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/9_2025", 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 HuggingFaceUploader Widget 🤗 (file 1/2: VdiffLoraPerfectdfelibertFix.fp16.safetensors)
Browse files
VdiffLoraPerfectdfelibertFix.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d5526d463353277e61438d4ad9fd76780be7c0ba23af39903c40252dd156b8f
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size 6938040706
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