Text-to-Audio
Diffusers
English
FlaxStableDiffusionPipeline
TPU
JAX
Flax
stable-diffusion
text-to-image
Instructions to use flax/knollingcase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/knollingcase 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/knollingcase", 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
- Xet hash:
- 3f647b4085ae95b2e9cf5c7216adaad0ec3d7b95d564756c921d848c3c1dc938
- Size of remote file:
- 3.44 GB
- SHA256:
- 0ef87f5423aac529fd0e27c203502cd3b5785ec5c85093323be425b9f3fc223d
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