Instructions to use fancyfeast/bigasp-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fancyfeast/bigasp-v1 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/bigasp-v1", 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
Upload wjmvvr7s-test-20240808d.safetensors
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wjmvvr7s-test-20240808d.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d521f53dde0765b9197cc0f01e5e3642bebbddd2268e29b74f3ed20d5c5d362
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size 6938040682
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