Instructions to use tonera/Chroma1-HD-SVDQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tonera/Chroma1-HD-SVDQ with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tonera/Chroma1-HD-SVDQ", 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:
- 9d2f0fcdbcc6d22c450231f0b2a61c99d722b577e3f685efffba3cde3093dc90
- Size of remote file:
- 1.01 MB
- SHA256:
- 05b4e4ff23d2ea11dc518cbcf071d1cacb1786d8ec2e0aa86f03d50018cf592d
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