Instructions to use Jonjew/RobinWright90s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/RobinWright90s 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/RobinWright90s") prompt = "closeup photo of r0b1nwr1ght, a woman, <lora:ty-r0b1nwr1ght:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Robin Wright 90s FLUX LoRA
.png)
- Prompt
- closeup photo of r0b1nwr1ght, a woman, <lora:ty-r0b1nwr1ght:1>
Model description
FROM https://civitai.com/models/1163083/robin-wright-90s-flux-lora?modelVersionId=1308343
Trigger r0b1nwr1ght
strength 1
Trigger words
You should use r0b1nwr1ght 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
- 8
Model tree for Jonjew/RobinWright90s
Base model
black-forest-labs/FLUX.1-dev