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
- Draw Things
- DiffusionBee
Update README.md (Minor Fix)
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Retro Pixel, A pixelated image of a german shepherd dog. The dogs fur is a
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vibrant shade of brown, with a black stripe running down its back. The
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background is
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output:
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url: images/RP1.png
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Retro Pixel, A pixelated image of a german shepherd dog. The dogs fur is a
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vibrant shade of brown, with a black stripe running down its back. The
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background is light green, and the dogs shadow is cast on the ground.
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output:
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url: images/RP1.png
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- text: >-
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