Instructions to use Larisa25/DR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Larisa25/DR 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Larisa25/DR") prompt = "If I'm training a model to draw a picture in the style. - Look for dresses with a long train or extra fabric that can be spread out around the model. - Before taking the photo, arrange the gown carefully around the model in a radial pattern to mimic the flow and spread of water. - You might need assistants or a stylist on hand to help with positioning the fabric for the desired effect. - A higher vantage point can help capture the spread of the dress fully. Consider using a step ladder or slightly elevated position to shoot from above. - Alternatively, you can shoot from ground level to emphasize the dramatic spread of the dress against the starkness of the snowy background. - Ensure that the model is centrally positioned so that the dress can radiate outward from her, creating a symmetrical \"waterfall\" effect. - Use leading lines by positioning the dress to guide the viewer's eyes from the edges of the frame towards the model. - Choose a day with minimal wind to maintain control over the draping of the gown unless a light breeze helps in creating a more dynamic flow without disrupting the setup. - Shoot when the snow is even and undisturbed to maximize the contrast between the vibrant red dress and the white landscape. 1. Shallow Depth of Field: - Use a wider aperture (like f/4) if you want a shallower depth of field to slightly blur the background and bring the dress into sharp focus." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!