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
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#5)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (a3b5f814862705d85637f10bae1fd0ee9c156f90)3d4314c
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Add Diffusers weights (#1)
- Add Diffusers weights (384270e5b369097c82bc778e62967ca94915f57d)92a2440 -
Update README.md
4b91a96 -
Update README.md
1e6f053
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Upload 2D-Mix.ckpt
Made with Automatic1111 Checkpoint Merger Anything-V3.0-pruned + Waifu-v1-3-float16 + NAI + sd-v1-5-pruned-emaonly + trinart_stable_diffusion_epoch362c0963 -
Create README.md
18a6171 -
initial commit
2cbdad0