Instructions to use Squiddy3/RodericOGorman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squiddy3/RodericOGorman 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("Squiddy3/RodericOGorman") prompt = "Roderic OGorman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 562 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'Roderic OGorman'
output:
url: images/00142-508383494 (1).jpeg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Roderic O'Gorman
---
# Flux
<Gallery />
## Model description
Roderic O'Gorman
## Trigger words
You should use `Roderic O'Gorman` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Squiddy3/RodericOGorman/tree/main) them in the Files & versions tab.
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