Commit History

  1. Fix blocky/checkerboard artifacts: pass kv_cache=True so reference (pose) tokens use isolated attention as this LoRA was trained (matches ComfyUI Krea2OstrisEditModelPatch kv_cache=True) Running

    multimodalart HF Staff
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    9f21968
  2. Fix blocky/checkerboard artifacts: deterministic VAE reference-latent encode (posterior mode) matching ComfyUI, instead of stochastic latent_dist.sample()

    multimodalart HF Staff
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    2840c9e
  3. Docs: reflect FluxKontextImageScale bucket sizing

    multimodalart HF Staff
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    d120fe8
  4. Fix pose fidelity/quality: replicate ComfyUI FluxKontextImageScale (nearest ~1MP bucket + center-crop + Lanczos) for pose sizing so ref-latent grid == output grid at native ~1MP resolution

    multimodalart HF Staff
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    42ff634
  5. Match ComfyUI workflow: guidance_scale=0 (cfg=1/no-CFG on Turbo), single LoRA scaling, aspect-preserving <=1MP /16 sizing

    multimodalart HF Staff
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    c1cad15

  1. Add matplotlib (needed by controlnet_aux detect_poses)

    multimodalart HF Staff
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    0ac4d97
  2. Move theme/css to launch() per Gradio 6

    multimodalart HF Staff
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    26cff59
  3. Document two input modes + resolution-matching fix

    multimodalart HF Staff
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    f33061d
  4. Add opencv-python for pose rendering

    multimodalart HF Staff
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    6ad3c2f
  5. Match output size to pose for stronger control + add interactive pose-editing (Pose Image / Regular Image tabs)

    multimodalart HF Staff
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    65ff002
  6. Upload app.py with huggingface_hub

    multimodalart HF Staff
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    839f769
  7. Upload folder using huggingface_hub

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    c15b3c0
  8. initial commit

    multimodalart HF Staff
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    0a77289