Instructions to use GraydientPlatformAPI/lomo-analog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/lomo-analog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/lomo-analog", 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:
- c01726fab2a49a342748860cbba3595c71dd8cc116245199427af6f89155b1bf
- Size of remote file:
- 246 MB
- SHA256:
- dbda9eff5551c15f8ca2b0dff69e2bf22864f4abec4557bccd585cb589d6269a
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