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:
- 3ec85d1d468d90ceb61cf7db51dc1b53c60377913880852ec2e381e5bce108ac
- Size of remote file:
- 7.85 GB
- SHA256:
- 65e6541afdabbb96568a3f8975eeef929f0a7e0eef3d2c4741b1bf911ac3a6d5
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