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:
- 89315fad621b7cdb4c82c7173800799fc4379491edf4f65a29461c1c75a40dee
- Size of remote file:
- 3.44 GB
- SHA256:
- 4ddae1675bde67d8ecd557f814ebc8c414871e59f97e98eb7aeb6bf555b78b5c
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