Instructions to use monism/testmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monism/testmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("monism/testmodel", 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
- Xet hash:
- 290ce40bbf2f3bc80c1ade32f18a0e061b534aab5b8a6cfec266c5ba13935984
- Size of remote file:
- 1.72 GB
- SHA256:
- 1cd11b373868cbb348c9b833c832a2bcca766af088827f6692cee6dc2f9d9076
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