Comments (3)
Hi,
Thanks for trying our project!
In my experiments, I do not conduct multi-image generation experiments. But this should be possible if you update the code a bit.
Besides, what if you ignore the errors appears during the environment building stage? This will not affect your actual code execution process.
Thanks.
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Hi,
Thanks for the reply.
If there's a conflict between libraries, an error message about the tensor size mismatch popped up. (https://github.com/mu-cai/ViP-LLaVA/issues/10)
Could you share the version of CUDA when you used to build this project?
Thanks a lot.
from vip-llava.
cuda is 12.0.
can you use my code instead of huggingface code to conduct inference?
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Related Issues (16)
- [Question] How to get the VIP-Bench? HOT 4
- [Question] When will the Visual Instruction Tuning data be released? HOT 2
- [Question] Will the code for creating Visual Instruction Tuning dataset be released? HOT 5
- Training Stage
- How to use visual prompts with huggingface? HOT 3
- Can u provide the subset only for ViP except llava mix original? HOT 5
- [Question] On the test set used for inference evaluation HOT 1
- [Discussion] Unable to use the demo HOT 3
- [Issue] Tensor mismatch at Runtime HOT 4
- [Question] 请问这个文件怎么找不到了呢?convert_vipbench_for_eval.py HOT 1
- [Question] Can you provide register-specific instruction data with the help of GPT-4V? HOT 2
- [Question] Warning occurred when """model = LlavaLlamaForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, **kwargs)""" in builder.py HOT 2
- [Question] Finetune Stage 2 Model HOT 3
- Release of Projector Weights HOT 2
- [Question] About Data Augmentation HOT 4
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