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:
- 9642ccdf6aa8b673ab64788526acca9d6f8fee081cbc2be8bad55d3c2fa3ffd9
- Size of remote file:
- 5.41 GB
- SHA256:
- c09c732d22fb8e9887b6953adde361cdabab1725e318129ec1d8c63908ac64dc
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