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I have tried this code:
import torch from diffusers import AutoPipelineForImage2Image pipeline = AutoPipelineForImage2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16) pipeline.unload_lora_weights() pipeline.load_lora_weights("black-forest-labs/FLUX.1-Redux-dev") pipeline.enable_model_cpu_offload()
and it gave me this error:
ValueError: Invalid LoRA checkpoint.
The text was updated successfully, but these errors were encountered:
Try something similar to this:
adapter_id = "Shakker-Labs/FLUX.1-dev-LoRA-blended-realistic-illustration" pipe.load_lora_weights(adapter_id, weight_name="FLUX.1-dev-LoRA-add-details.safetensors") #optionally: pipe.fuse_lora(lora_scale=1.0)
Sorry, something went wrong.
We're working on it in #9985 and #9999. Until then this error will be expected but those should be merged soon!
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I have tried this code:
and it gave me this error:
The text was updated successfully, but these errors were encountered: