Instructions to use H-oliday/SwiftVR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use H-oliday/SwiftVR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("H-oliday/SwiftVR", 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 files using upload-large-folder tool
Browse files- ._.cache +0 -0
- ._prompt_embedding.safetensors +3 -0
- ._reae.safetensors +3 -0
- ._transformer +0 -0
- .cache/._huggingface +0 -0
- prompt_embedding.safetensors +3 -0
- reae.safetensors +3 -0
- transformer/._config.json +0 -0
- transformer/._diffusion_pytorch_model.safetensors +3 -0
- transformer/config.json +24 -0
- transformer/diffusion_pytorch_model.safetensors +3 -0
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prompt_embedding.safetensors
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{
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