Instructions to use katakana/2D-Mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use katakana/2D-Mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("katakana/2D-Mix", 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:
- 74dc771798aa1a7e05608b45478e6007130e676aa733351af34b70f6e9c91ec4
- Size of remote file:
- 335 MB
- SHA256:
- 2685d06b9994e5d3dd7e1aba444aac326953b98c8ecc9a30d95af59bf5c0bc9e
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