FLUX Modular Diffusers
Collection
Training-free & open-weight FLUX capabilities as one-line Modular Diffusers community pipelines • 11 items • Updated
AI & ML interests
Machine learning, deep learning, generative AI, LLMs
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terry-remyx
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salma-remyx
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model 3 days ago
salma-remyx
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Post
2401
New diffusion methods can take months or years to reach
Until then, trying them means working through fragmented research repos with different dependencies, APIs, and implementation choices. Maintainers also can’t review and maintain every promising method in the main repo.
We’re sharing
Each one is adapted to the same
@sayakpaul suggested this path on our HRDiT PR. We added Outrider, our open-source GitHub Action that discovers relevant methods and implements them as draft PRs.
Outrider drafted each pipeline against the repo’s shared conventions. We reviewed the implementations, ran the GPU validation, and published the ones that passed.
This helped us quickly grow the test bed to 10 pipelines covering:
* High-res + panoramic generation: HRDiT, DyPE, Panorama
* Identity + virtual try-on: PuLID, CatVTON
* Image editing + regional control: FlowEdit, KV-Edit, Regional Prompting
* Style + character consistency: StyleAligned, StoryDiffusion
Users get new methods sooner and a consistent way to test them. Maintainers can review the implementation and results without taking on every method in core.
Resources:
🧩 Modular Diffusers: https://huggingface.co/blog/modular-diffusers
🧪 FLUX test bed: https://github.com/remyxai/flux-modular-diffusers
📚 FLUX Modular Diffusers collection: https://huggingface.co/collections/remyxai/flux-modular-diffusers
🤖 Outrider: https://github.com/remyxai/outrider
diffusers.Until then, trying them means working through fragmented research repos with different dependencies, APIs, and implementation choices. Maintainers also can’t review and maintain every promising method in the main repo.
We’re sharing
flux-modular-diffusers as a shared test bed for new FLUX methods. https://github.com/remyxai/flux-modular-diffusersEach one is adapted to the same
ModularPipeline interface, validated with a GPU notebook, and published as its own Hub artifact.@sayakpaul suggested this path on our HRDiT PR. We added Outrider, our open-source GitHub Action that discovers relevant methods and implements them as draft PRs.
Outrider drafted each pipeline against the repo’s shared conventions. We reviewed the implementations, ran the GPU validation, and published the ones that passed.
This helped us quickly grow the test bed to 10 pipelines covering:
* High-res + panoramic generation: HRDiT, DyPE, Panorama
* Identity + virtual try-on: PuLID, CatVTON
* Image editing + regional control: FlowEdit, KV-Edit, Regional Prompting
* Style + character consistency: StyleAligned, StoryDiffusion
Users get new methods sooner and a consistent way to test them. Maintainers can review the implementation and results without taking on every method in core.
Resources:
🧩 Modular Diffusers: https://huggingface.co/blog/modular-diffusers
🧪 FLUX test bed: https://github.com/remyxai/flux-modular-diffusers
📚 FLUX Modular Diffusers collection: https://huggingface.co/collections/remyxai/flux-modular-diffusers
🤖 Outrider: https://github.com/remyxai/outrider
salma-remyx
published a
model 3 days ago
salma-remyx
updated 2
models 4 days ago
salma-remyx
published a
model 4 days ago
salma-remyx
updated a
model 4 days ago
salma-remyx
published 2
models 4 days ago