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
- Draw Things
- DiffusionBee
- Xet hash:
- 68ddc108c3802fedacc21da6ce44c2987bd1a13dc684a80740c5d5c340f11722
- Size of remote file:
- 3.44 GB
- SHA256:
- 89b54dc332757e6fff8caef7399e8061833d7d668d42fdbcc02b3e366921c5a6
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