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", torch_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:
- 52eb4934c943aa7f8b64f0c8ba132ee41abc0dba53d6e5465748c9d5a58c61fd
- Size of remote file:
- 3.44 GB
- SHA256:
- 7fd7c6ead86a0ce95380302f2de3bde3402d65d0334506552889b2e0c31eb55f
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