Instructions to use BreakpointAI/boxnethd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BreakpointAI/boxnethd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BreakpointAI/boxnethd", 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 ema/transformer_trainable_ema.pth
Browse files
ema/transformer_trainable_ema.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:68c32ffb7d731f1e636f24dddc00b7b3da20717cdc02c5975f915e1964b69cfc
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size 8581512376
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