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:
- f141528106175f99d673030e7a7ea5cc55e82382fa6150b81ce1f74126c9d107
- Size of remote file:
- 9.95 GB
- SHA256:
- 59f0b26eccaabb8301e4166e653f1bcdebd7c46a4a07b02fe33d7a2c46d78eba
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