Instructions to use Jonjew/LisaEdelstein with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/LisaEdelstein 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/LisaEdelstein") prompt = "<lora:Jamie_Lee_Curtis_Flux:1.1> This is a beautiful photograph of a woman, short, light brown hair styled in a neat, slightly tousled fashion. She is wearing a boatneck dress. Standing in a cafe. Looking at the viewer. Smile." 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/LisaEdelstein: direct link, hf CLI and curl.
- Browser
- Download file 771 Bytes
-
https://huggingface.co/Jonjew/LisaEdelstein/resolve/main/README.md
- Command line
-
hf download hf://Jonjew/LisaEdelstein/README.md
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curl -L -o README.md https://huggingface.co/Jonjew/LisaEdelstein/resolve/main/README.md
771 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: >- | |
| <lora:Jamie_Lee_Curtis_Flux:1.1> This is a beautiful photograph of a woman, | |
| short, light brown hair styled in a neat, slightly tousled fashion. She is | |
| wearing a boatneck dress. Standing in a cafe. Looking at the viewer. Smile. | |
| output: | |
| url: images/00001-3623561003.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: null | |
| license: unknown | |
| # Lisa Edelstein | |
| <Gallery /> | |
| ## Model description | |
| FROM https://civitai.com/models/1094392/lisa-edelstein-flux | |
| Strength 1 | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Jonjew/LisaEdelstein/tree/main) them in the Files & versions tab. | |