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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9b3437212c00c743e6f883b4a422359c685aefbd8f5fea0f9e82519864b40324
- Size of remote file:
- 246 MB
- SHA256:
- 1a088156e4865c8db51f32d69f61f9b9ddff6cbd5246d9aa363b66dd64f10b83
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