Instructions to use snagalingam/testing-dog6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use snagalingam/testing-dog6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("snagalingam/testing-dog6", 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 model.ckpt from snagalingam/testing-dog6: direct link, hf CLI and curl.
- Browser
- Download file 2.13 GB
-
https://huggingface.co/snagalingam/testing-dog6/resolve/main/model.ckpt
- Command line
-
hf download hf://snagalingam/testing-dog6/model.ckpt
-
curl -L -o model.ckpt https://huggingface.co/snagalingam/testing-dog6/resolve/main/model.ckpt
2.13 GB
- Xet hash:
- de4c40b214bed1f24e43671afd2d896015c6e32f44d70adbc5350c555550d14e
- Size of remote file:
- 2.13 GB
- SHA256:
- dfaa5a4dfa59fcc50d85d08ddd77d553214fa844148bd2020acd01d7353cb871
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