Instructions to use Jonjew/SteelZ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/SteelZ 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("Jonjew/SteelZ") 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 Jonjew/SteelZ: direct link, hf CLI and curl.
- Browser
- Download file 829 Bytes
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https://huggingface.co/Jonjew/SteelZ/resolve/main/README.md
- Command line
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hf download hf://Jonjew/SteelZ/README.md
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curl -L -o README.md https://huggingface.co/Jonjew/SteelZ/resolve/main/README.md
829 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: '-' | |
| output: | |
| url: images/ComfyUI_temp_cbtfr_00004_.png | |
| - text: '-' | |
| output: | |
| url: images/ComfyUI_temp_moabs_00002_.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: null | |
| license: unknown | |
| # SteelZ | |
| <Gallery /> | |
| ## Model description | |
| FROM https://civitai.com/models/1409168/steelz?modelVersionId=1592963 | |
| Strength 0.7 | |
| This lora does welded steel constructions as well making things metallic. It leans towards living things but will do machinery as well. No trigger but steezlez was in every caption. Mixes well with most other loras. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Jonjew/SteelZ/tree/main) them in the Files & versions tab. | |