Instructions to use buildborderless/FLUX.MF-lightning_8step-uncen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use buildborderless/FLUX.MF-lightning_8step-uncen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("buildborderless/FLUX.MF-lightning_8step-uncen", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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- lightning
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- diffusers
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pipeline_tag: text-to-image
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# FLUX
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This repository provides the merged params for [`black-forest-labs/FLUX.1-dev`](https://huggingface.co/black-forest-labs/FLUX.1-dev)
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and [`black-forest-labs/FLUX.1-schnell`](https://huggingface.co/black-forest-labs/FLUX.1-schnell) originally provided by [@sayakpaul](https://huggingface.co/sayakpaul/FLUX.1-merged).
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- lightning
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- diffusers
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pipeline_tag: text-to-image
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new_version: LPX55/FLUX.1-merged_lightning_v2
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# FLUX-merged_lightning-v1
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This repository provides the merged params for [`black-forest-labs/FLUX.1-dev`](https://huggingface.co/black-forest-labs/FLUX.1-dev)
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and [`black-forest-labs/FLUX.1-schnell`](https://huggingface.co/black-forest-labs/FLUX.1-schnell) originally provided by [@sayakpaul](https://huggingface.co/sayakpaul/FLUX.1-merged).
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