Instructions to use SY573M404/f222-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SY573M404/f222-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SY573M404/f222-diffusers", 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:
- 6cf2c767d42ddf131faaf015dd4fdcef0d2f26d58a87c8f6dbdf8c43037c1116
- Size of remote file:
- 335 MB
- SHA256:
- 720a3c859f2b0c0977dcad23a7e509869cc1e0c83e4ecbdcd7540eece5de6250
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