Instructions to use SG161222/SPARK.Chroma_preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SG161222/SPARK.Chroma_preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/SPARK.Chroma_preview", 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:
- 442a40d16069ca38029b485e8440233c3db169b48d2c1746be6e4fdc63e0849e
- Size of remote file:
- 1.28 MB
- SHA256:
- e0bee8b1a60fa654fa1eb351430e2f1780c1a23d8a2093652ced587037b9538d
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