Instructions to use MLbackup/5_2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLbackup/5_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/5_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
Add TwinkBriteMix.fp16.safetensors (with hf_transfer)
Browse files
TwinkBriteMix.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:354df8f6293fec8984895acd5dd3398c96b3e851bdba7627690b905659d108e3
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size 6938041722
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