Instructions to use yulet1de/anything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yulet1de/anything with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yulet1de/anything", 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:
- d081d6a5e7bbeae73f1e1a6b2bc01c98b2e4b53ac7ad79619d2d6eb149a57ff4
- Size of remote file:
- 3.44 GB
- SHA256:
- c727c1864179e43a3338a99e28e08f9c7b12cd46e56e60afb429e17c57644c14
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