Instructions to use fancyfeast/bigaspv2-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fancyfeast/bigaspv2-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fancyfeast/bigaspv2-5", 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 bigaspv25-20250716.safetensors
Browse files
bigaspv25-20250716.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc3b501360e52cb97df3ec34f0891e8fb47c08a04ec284b80f19d9f9dc46dfc9
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size 6938040682
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