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Stable Diffusion v1 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 860M UNet and CLIP ViT-L/14 text encoder for the diffusion model.
Model Initialization: The script initializes the Stable Diffusion model using the specified model_id. Prompt Definition: Prompts for image generation are defined. Device Selection: The device is ...
Explore developments in Stable Diffusion such as video generation using AnimateDiff Write effective prompts and leverage LLMs to automate the process Discover how to train a Stable Diffusion LoRA from ...
The executed command is as follows. [code]$ python stable_diffusion.py --prompt 'karaage' ftfy or spacy is not installed using BERT BasicTokenizer instead of ftfy. 32it [01:41, 3.18s/it] [/code] ...
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