Instructions to use bvrtek/KusaMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bvrtek/KusaMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bvrtek/KusaMix", 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
Upload KusaMix.safetensors
Browse filesfull non-pruned fp32 version
- KusaMix.safetensors +3 -0
KusaMix.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ace78f2680371b5a06d2c9d0710fd05a2c9d9ec038f81c68c27849e1b31b8769
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size 7703274858
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