Instructions to use falgasdev/zitronstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use falgasdev/zitronstyle 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("falgasdev/zitronstyle") prompt = "masterpiece, best quality, anime coloring, anime screencap," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- MoonlightCAT_ZIT.safetensors +3 -0
- images/zitron.png +3 -0
MoonlightCAT_ZIT.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5aad1622ef87770d21b53da04736adfe3232488617a01f3df4cc986538b7d8ef
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size 170128296
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images/zitron.png
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Git LFS Details
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