Instructions to use Geek7/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Geek7/testing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Geek7/testing", 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 vae/diffusion_pytorch_model.safetensors from Geek7/testing: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Geek7/testing/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Geek7/testing/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Geek7/testing/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 1dac4ad9d30f19d8130a7d1fdd955c6a21b0c915f5e7c7b9d13920e17109973c
- Size of remote file:
- 335 MB
- SHA256:
- a02c00c3ec17e99528f0ce53bcc508729ce9f9d3e653eb1cbc99a5da0030446f
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