Instructions to use Jonjew/PatrickJonesStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/PatrickJonesStyle 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/PatrickJonesStyle") prompt = "Art by Patrick Jones" 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/PatrickJonesStyle: direct link, hf CLI and curl.
- Browser
- Download file 847 Bytes
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https://huggingface.co/Jonjew/PatrickJonesStyle/resolve/main/README.md
- Command line
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hf download hf://Jonjew/PatrickJonesStyle/README.md
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curl -L -o README.md https://huggingface.co/Jonjew/PatrickJonesStyle/resolve/main/README.md
847 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: Art by Patrick Jones | |
| output: | |
| url: images/t2i_00055_.jpeg | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: null | |
| license: unknown | |
| # Patrick Jones Style | |
| <Gallery /> | |
| ## Model description | |
| FROM https://civitai.green/images/67097781 | |
| Please support the creator by donating buzz and liking at the page above! | |
| Tigger Art by Patrick Jones | |
| Strength 0.7 | |
| About this version | |
| Model trained on civitai with 50 images. | |
| Recommended resources : Fluxmania | |
| Recommended settings : dpmpp_2m or heunpp2 / sgm_uniform / 25 steps / guidance : 2.5 to 3.5 | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Jonjew/PatrickJonesStyle/tree/main) them in the Files & versions tab. | |