Instructions to use fofr/flux-y2k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fofr/flux-y2k 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("fofr/flux-y2k") prompt = "a photo of a transparent Y2K device" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
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README.md
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- text: a photo of a transparent Y2K device
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output:
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url: images/example_2ouza0pk5.png
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---
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- text: a photo of a transparent Y2K device
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output:
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url: images/example_2ouza0pk5.png
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- text: a Y2K portrait photo of a cyberpunk
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output:
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url: images/example_g3xul9nzr.png
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images/example_g3xul9nzr.png
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