Instructions to use renderartist/retroadflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use renderartist/retroadflux 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("renderartist/retroadflux") prompt = "m1dc3ntury ad 1960s photograph of a man sitting in a new luxury red car for an automotive advertisement, facing the viewer, photography shoot, post production, the image has printing artifacts and wear from being aged over years. Rule of thirds composition, ethereal science fiction style scene, avocado green carpet floors. This is a full page ad with the text above saying \"The New Flux PYTHON\" subheading \"Live fast, drive comfortably.\"" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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