Instructions to use prithivMLmods/Retro-Pixel-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Retro-Pixel-Flux-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("prithivMLmods/Retro-Pixel-Flux-LoRA") prompt = "Retro Pixel, A pixelated image of a german shepherd dog. The dogs fur is a vibrant shade of brown, with a black stripe running down its back. The background is a light green, and the dogs shadow is cast on the ground." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Labeling: florence2-en(natural language & English)
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Total Images Used for Training : 16 [ Hi-RES ]
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Labeling: florence2-en(natural language & English)
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