Comments (1)
Hi Frits!
Unfortunately we can't share the backend urls because of concerns about DDoS, but all the code is being done in the open in this repo. If you want to access the old model, we believe that an inference notebook from a few weeks ago would be your best bet, as it will guide you through the steps involved.
The following link should open a colab notebook that refers to one of the old models, so you can experiment for yourself:
https://colab.research.google.com/github/borisdayma/dalle-mini/blob/af807f728899b4fe6a8efc21d89e8911356130a5/tools/inference/inference_pipeline.ipynb
Please, give it a go, and good luck with your project!
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Related Issues (20)
- Why we use diffusion for prior model HOT 1
- CuDNN library mismatch when running docker
- How to retrain(fine-tuned) custom datasets HOT 2
- A Question on The Carbon Footprint Estimation. HOT 2
- import error in inference pipeline notebook HOT 4
- Notebook failures on Windows using Docker HOT 3
- TypeError: _get_logits_warper() got an unexpected keyword argument 'top_k' HOT 5
- XlaRuntimeError: INTERNAL: RET_CHECK failure
- Inference Notebook Does Not Work HOT 9
- Tag the source HOT 1
- What is the BACKEND_SERVER address?
- Numpy issue in encode_dataset notebook
- How do I train all the parameters
- optax error when installing on Windows HOT 4
- Preview!
- Incompatible jax or jaxlib version in tools/inference/inference_pipeline.ipynb HOT 7
- Access codebook in the code
- error: metadata-generation-failed HOT 1
- The script inference_pipeline.ipynb not work! ImportError: cannot import name 'partitioning' HOT 1
- error installing dalle-mini on macos and on python container HOT 6
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