Comments (6)
Just repurpose the imagen trainer script. Until they release their paper, just use random search and figure the best hyperparameters to you. Currently trying to figure out myself, I'm beyond thirsty lol.
https://github.com/lucidrains/imagen-pytorch/blob/main/imagen_pytorch/trainer.py
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@darkman111a Have you made any progress with fine-tuning the IF model? If so could you please share it? I don't have enough knowledge to modify the Imagen code and would be very appreciated for your help!
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I have just published an Open Source version of Textual Inversion to incorporate your own objects, faces, logos or styles into
DeepFloyd IF: https://github.com/oss-roettger/T5-Textual-Inversion
The clear and short notebook runs within 24 GB CUDA memory. Feedback welcome!
Kind regards
Hans
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awesome project! looking forward to the finetuning code
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+1
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@darkman111a hi, have you sucessfully fine-tuned the IF model? I would appreciate it if you could share your training configs.
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Related Issues (20)
- How to download the model to local use? HOT 3
- How to Change Settings in Google Colab
- How to convert DeepFloyd model to onnx
- ImportError: cannot import name 'CLIPImageProcessor' from 'transformers'
- Null
- What is the FID-30K test subset? HOT 2
- Is the paper going to be released?
- Dedicated Inpainting Model
- Can only run locally? Can't you run on the server and ubuntu?
- Tensor error for basic example usage HOT 3
- Internal: unk is not defined HOT 3
- Error related to Transformers version when launching HOT 1
- There has a path bug in stage_III_sd_x4 file.
- Citation Information HOT 2
- Variance Scheduler HOT 2
- what is bs_scale for?
- ValueError: CLIPVisionModelWithProjection does not support `device_map='auto'`. To implement support, the model class needs to implement the `_no_split_modules` attribute. HOT 6
- OOM appears using DeepFloyd_IF (I use 32G video memory) HOT 3
- can the huggingface repository be un-gated?
- Fine Tuning
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