Instructions to use Klaus221/railey-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Klaus221/railey-lora 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("Klaus221/railey-lora") prompt = "a photo of RAILEY woman, golden hour, 35mm film" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| license: creativeml-openrail-m | |
| tags: | |
| - text-to-image | |
| - flux | |
| - lora | |
| - diffusers | |
| - replicate | |
| base_model: black-forest-labs/FLUX.1-dev | |
| pipeline_tag: text-to-image | |
| instance_prompt: RAILEY | |
| widget: | |
| - text: a photo of RAILEY woman, golden hour, 35mm film | |
| output: | |
| url: samples/sample1.jpg | |
| # Railey LoRA | |
| A FLUX.1-dev LoRA. Trigger word: **RAILEY** | |
| ## Usage | |
| Use `RAILEY` in your prompt, e.g.: | |
| `a photo of RAILEY woman, sitting in a café, soft window light, 35mm film` | |
| Trained on Replicate using ostris/flux-dev-lora-trainer. |