Instructions to use gokudoku/trevor-lawrence-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gokudoku/trevor-lawrence-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gokudoku/trevor-lawrence-diffusion", 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 gokudoku/trevor-lawrence-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/gokudoku/trevor-lawrence-diffusion/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://gokudoku/trevor-lawrence-diffusion/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gokudoku/trevor-lawrence-diffusion/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- cbb8a1dccd27c1016b2106e807fa2eb07a2781450a8a10349768a4f3e9f65687
- Size of remote file:
- 1.36 GB
- SHA256:
- 755631a2751331736bd4f8401b4a1e932f30f956e0f8f365ffdce1869af74cd8
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