Instructions to use prettyshisya/reznik with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prettyshisya/reznik with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prettyshisya/reznik") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
images/photo_2026-01-15_15-22-20.jpg
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Git LFS Details
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my_first_lora_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d598dc15ecd0ee5316a08382613e77164cde08bbe57e3e5453056f51d6627aa1
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size 170128288
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