Instructions to use SpiderSteeped/zilla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SpiderSteeped/zilla with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SpiderSteeped/zilla") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
cumzilla-flux-v3.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ff0370fd176da3824c34d8d882678ad262dd66669a23dc5670d74137a3e5987
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size 108605368
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images/df0r4a3-ffbbd57b-89d6-4dae-9060-9f79d5de1a5e.png
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Git LFS Details
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