Instructions to use flax/redshift-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/redshift-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flax/redshift-diffusion", 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:
- 313cba37e85a1a8a75b250327f50ef7f25b7d29f5b72e768740bd8b2e0ad86ee
- Size of remote file:
- 1.22 GB
- SHA256:
- 851a10d6a89e86dfac8397af9e09f754b6220dfa71a334c3a60c7883149e748c
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