Instructions to use ShoufaChen/PixelFlow-Text2Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShoufaChen/PixelFlow-Text2Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShoufaChen/PixelFlow-Text2Image", 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:
- c64cd660b1200a986c5eb8f7ebeb05708adcf269e3eafa6bad17f07289aeb33d
- Size of remote file:
- 3.53 GB
- SHA256:
- 44a2c61a1e59a2bb8ed4211c0eb52c4ecf5be851676805b08a63d5f5527a2bf6
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