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maxbsoft/headswap-qwen-edit-2511
headswap-qwen-edit-2511 is a machine learning model from maxbsoft. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers.
Trains the two-image edit path to take a child's face and hairstyle from a reference photograph and draw that child into an existing illustrated page, preserving the page's art style, background, composition, pose and…
Downloads · 30 days
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61% of all-time downloads
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From the Hugging Face model README
Trains the two-image edit path to take a child's face and hairstyle from a reference photograph and draw that child into an existing illustrated page, preserving the page's art style, background, composition, pose and clothing.
| slot | content |
|---|---|
control_1 / image 1 | the scene — an illustrated page |
control_2 / image 2 | a photograph of the target child |
Order matters: scene first, photo second (the convention BFS Head V3/V4/V5 use).
Prompt used in training, and the sentence the adapter is addressed by:
Replace the child in the first image with the child from the second image,
keeping the same face, hair colour, hair length and hairstyle as the second
image. Keep the background, composition, lighting, pose, clothing, hands and
all other characters unchanged.
Render at cfg 4.0 with a " " negative prompt, 25-40 steps, 1344x768.
lavuribooks_headswap_v2.safetensors is the final (1500 steps); the numbered
files are intermediate saves at 250-step intervals, kept so a checkpoint can be
chosen after the fact rather than guessed in advance.
LoRA rank 32, lr 1e-4, adamw8bit, bf16 without quantisation, batch 1, 1500 steps on an RTX PRO 6000. 640 triplets from 31 target pages, split by character so validation never shares an identity with training.
Both are data gaps rather than tuning problems.