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 2/2: Vdiff-RealismSept2025.fp16.safetensors)
Browse files
Vdiff-RealismSept2025.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:26f4457f7010c695a6442a242171b880468c0d35039e29e9cc11791a351c1cc6
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size 6938041754
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