Instructions to use TechDirty/FullModelCD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TechDirty/FullModelCD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TechDirty/FullModelCD", 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:
- 3f74b395ec7db511e7fb19c8a783cb2cad94473109eb4e6283227581bc58b8fc
- Size of remote file:
- 23.8 GB
- SHA256:
- ef9e0ff579573337523aeae381793bfc7627f079dad4b72500fc5f6971d7f27e
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