Instructions to use mynameisai/gswap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mynameisai/gswap with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mynameisai/gswap", 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 Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from mynameisai/gswap: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/mynameisai/gswap/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://mynameisai/gswap/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mynameisai/gswap/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 0763010f3cb54e8ed23fae4e5e9cd3ec34b6b94ab0090b6f9610b943512e1907
- Size of remote file:
- 492 MB
- SHA256:
- a26b718b5fcccb0c14eba37211fb3e8e8362ee06e974d5835db12c0bc1e69f6f
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