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Hey thanks for the amazing work!
I tested the model on Sythbuster Dataset (1000 images each from dalle2, dalle3,firefly, midjourney_v5 each compared separately with RAISE_1k images) with 16 patch s…
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**Is your feature request related to a problem? Please describe.**
When a request to Dalle fails, the reason is logged but `None` is returned. This makes it difficult to programmatically figure out w…
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Error:
```
Error Traceback (most recent call last):
File "convert_model.py", line 42, in
AssertionError: ('shape mismatch at', 'model.diffusion_model.input_blocks.1.1.proj_in.weight', [320, 320],…
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Using DallE2, create four versions (hamlets, villages, towns, and cities) of each of the following terrain locations in the digital watercolour style:
## Temperate
- [ ] seashore
- [ ] forest
- …
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this is my code for generate image,but the generated img is random。
prior model: https://huggingface.co/laion/DALLE2-PyTorch/blob/main/prior/best.pth
decoder model: https://huggingface.co/laion/DALL…
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The generation is based on the generated plot as a text input using an external text to image service
The services are:
* Open AI (Dalle2)
* Ideogram.ai (not supported by spring AI)
* stability.ai
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I'm using the code in the Usage section of the README, which produces a noise-filled image. Has anyone encountered a similar problem and how should I fix it?
```
import torch
from dalle2_pytorch im…
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Hi I get the following error message on Ubuntu 22.04 under WSL2:
python example_inference.py test
Checksum: https://huggingface.co/laion/DALLE2-PyTorch/raw/main/decoder/v1.0.2/latest.pth
Checksu…
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While attempting to train the diffusion prior (with train_diffusion_prior.py), I run into the following exception:
My dalle2_pytorch version is 1.10.7. And dataset is mscoco.
```
Traceback (most re…