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fix: resolve issue #13811 #13813

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0392cd8
fix: resolve issue #13811
Zhu1116 May 26, 2026
2535262
Merge branch 'main' into fix/issue-13811
Zhu1116 May 28, 2026
38a31c5
fix: format train_dreambooth_lora_flux2_img2img.py
Zhu1116 May 28, 2026
0950595
fix: train_dreambooth_lora_flux2_klein_img2img.py
Zhu1116 May 28, 2026
a9c456d
Merge branch 'main' into fix/issue-13811
Zhu1116 Jun 12, 2026
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7 changes: 3 additions & 4 deletions examples/dreambooth/train_dreambooth_lora_flux2_img2img.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1717,12 +1717,11 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
cond_model_input = (cond_model_input - latents_bn_mean) / latents_bn_std

model_input_ids = Flux2Pipeline._prepare_latent_ids(model_input).to(device=model_input.device)
cond_model_input_list = [cond_model_input[i].unsqueeze(0) for i in range(cond_model_input.shape[0])]
cond_model_input_ids = Flux2Pipeline._prepare_image_ids(cond_model_input_list).to(
cond_model_input_ids = Flux2Pipeline._prepare_image_ids([cond_model_input[0:1]]).to(
device=cond_model_input.device
)
cond_model_input_ids = cond_model_input_ids.view(
cond_model_input.shape[0], -1, model_input_ids.shape[-1]
cond_model_input_ids = cond_model_input_ids.expand(
cond_model_input.shape[0], -1, -1
)

# Sample noise that we'll add to the latents
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