Instructions to use markburn/rusik30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use markburn/rusik30 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("markburn/rusik30") prompt = "rusik30" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add rusik30.safetensors
Browse files- rusik30.safetensors +3 -0
rusik30.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d50896d993e34d66baf0eb1259590a2f821b0bd5c6191f793ba2be9b7883006c
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size 130958064
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