Instructions to use robinqu/tritontest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use robinqu/tritontest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("robinqu/tritontest") 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 checkpoint-2000/optimizer.bin from robinqu/tritontest: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/robinqu/tritontest/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://robinqu/tritontest/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/robinqu/tritontest/resolve/main/checkpoint-2000/optimizer.bin
6.59 MB
- Xet hash:
- c084477587d14cb79aa1e361e1d7b345f26f4d38770637318914ab82352b1d93
- Size of remote file:
- 6.59 MB
- SHA256:
- 89d31dca0d4cda9fca0618bf832eafac2ccb74e0d3da356e8759735c0f92346c
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