Instructions to use stablediffusionapi/kimchimix-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/kimchimix-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/kimchimix-v2", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 14bcdb325469afac9ad46105b73fe8a97e0f4210e04bdcdb666af1406f8aebe0
- Size of remote file:
- 1.72 GB
- SHA256:
- cdb0d8619801d0d386fccebc808a5976b7f3c36c7386b686bb071008df523b79
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