Instructions to use Jonjew/CharlotteRampling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/CharlotteRampling 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/CharlotteRampling") prompt = "<lora:charlotte-rampling-flux:1.1> the, her, woman, and, has elegant classic 1900s portrait giant elegant elaborate hat with colorful feathers low neck line showing bosom" 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/CharlotteRampling: direct link, hf CLI and curl.
- Browser
- Download file 749 Bytes
-
https://huggingface.co/Jonjew/CharlotteRampling/resolve/main/README.md
- Command line
-
hf download hf://Jonjew/CharlotteRampling/README.md
-
curl -L -o README.md https://huggingface.co/Jonjew/CharlotteRampling/resolve/main/README.md
749 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
<lora:charlotte-rampling-flux:1.1> the, her, woman, and, has elegant
classic 1900s portrait giant elegant elaborate hat with colorful feathers
low neck line showing bosom
output:
url: images/00104-802492521.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: unknown
Charlotte Rampling Flux

- Prompt
- <lora:charlotte-rampling-flux:1.1> the, her, woman, and, has elegant classic 1900s portrait giant elegant elaborate hat with colorful feathers low neck line showing bosom
Model description
FROM https://civitai.com/models/1042026/charlotte-rampling-flux?modelVersionId=1169149
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.