Instructions to use Jonjew/AnnMargret with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/AnnMargret 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/AnnMargret") prompt = "a 70s woman is posing for a portrait before a party <lora:ann-margret-flux:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ann-Margret Olsson Flux

- Prompt
- a 70s woman is posing for a portrait before a party <lora:ann-margret-flux:1>
Model description
FROM https://civitai.com/models/1110121/ann-margret-olsson-flux?modelVersionId=1247321
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/AnnMargret
Base model
black-forest-labs/FLUX.1-dev