Instructions to use Motas/Retro_Flux_Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Motas/Retro_Flux_Loras 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("Motas/Retro_Flux_Loras") prompt = "The image is a digital illustration in a detailed, vibrant, high contrast, semi-realistic art style with 90s retro futuristic anime-inspired elements. Featuring a young woman with blonde hair and a serene expression. She has long, voluminous, wavy blonde hair cascading around her face and shoulders. Her face is small, cute and soft with full, slightly parted lips. She wears a high-tech, futuristic armor that covers her torso, with intricate metallic patterns and a prominent, circular blue light on her chest, suggesting advanced technology and possibly cyborg elements. Surrounding her, there are vivid, red roses, some in bloom and others in bud, creating a contrast of softness and hardness. The background appears to be a complex, mechanical environment with metallic structures and glowing lights, indicating a futuristic, perhaps post-apocalyptic setting. The composition is dramatic with strong filmic effects, color grading." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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