Instructions to use Jonjew/JenaMalone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/JenaMalone 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/JenaMalone") prompt = "Jena Malone" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Jena Malone

- Prompt
- Jena Malone
Model description
FROM https://civitai.com/models/1279220/jena-malone-flux?modelVersionId=1443188
Please support the creator by donating buzz and liking at the page above!
Trigger Jena Malone
Trigger words
You should use Jena Malone to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 9
Model tree for Jonjew/JenaMalone
Base model
black-forest-labs/FLUX.1-dev