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
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Download README.md from SpiderSteeped/zilla: direct link, hf CLI and curl.
- Browser
- Download file 423 Bytes
-
https://huggingface.co/SpiderSteeped/zilla/resolve/main/README.md
- Command line
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hf download hf://SpiderSteeped/zilla/README.md
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curl -L -o README.md https://huggingface.co/SpiderSteeped/zilla/resolve/main/README.md
423 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: '-' | |
| output: | |
| url: images/df0r4a3-ffbbd57b-89d6-4dae-9060-9f79d5de1a5e.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: null | |
| # zilla | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/SpiderSteeped/zilla/tree/main) them in the Files & versions tab. | |