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tennyyyin/multiview_droid_v0
multiview_droid_v0 is a image-to-image model from tennyyyin. Use it when you need one image transformed into another. It is set up for diffusers. The card lists the license as other.
Full finetune of black-forest-labs/FLUX.2-klein-4B for the multiview DROID image-edit task. Given a wrist-camera reference (cond 1) and a side-camera target (cond 2), the model inserts the prompted object into the sid…
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.safetensors7.8 GB · 100%
From the Hugging Face model README
Full finetune of black-forest-labs/FLUX.2-klein-4B
for the multiview DROID image-edit task. Given a wrist-camera reference
(cond 1) and a side-camera target (cond 2), the model inserts the prompted
object into the side view at a plausible location, scale, orientation, and
occlusion using the wrist view as reference.
config.json — Flux2Transformer2DModel architecture config.diffusion_pytorch_model.safetensors — finetuned transformer weights.Load directly with Flux2Transformer2DModel.from_pretrained("<this repo or local dir>").
See the IROM docs and inference script in the source repo:
# Download
uv run examples/inference/download_multiview_droid.py
# Inference
uv run examples/inference/multiview_droid.py \
--checkpoint_path checkpoints/multiview_droid_v0 \
--wrist_cond assets/droid/wrist_banana.jpg \
--side_cond assets/droid/side1.jpg \
--prompt "banana" \
--output_dir outputs/multiview_droid/banana
--prompt is the object phrase (e.g. "banana", "blue mug"); it is
slotted into the prompt template the model was trained on. Pass
--full_prompt to override the template verbatim.