Instructions to use GraydientPlatformAPI/icatcher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/icatcher 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/icatcher", 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:
- efac97dcb81f912c8fa9ac19137c5ac2404dd3c6c6cbe52a3a14af50a51feb19
- Size of remote file:
- 1.39 GB
- SHA256:
- af4e7aff4b4968f67053f80b9fba6d3695de2737f8f44b33f713963c46734809
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