Msh1031 Wafer Thnn Complex Prompts Hugging Face This is a dreambooth model derived from compvis stable diffusion v1 4. the weights were trained on a pha photo of image of wafer defect captured through a scanning electron microscope, a defect should be repeatedly formed in a single or multiple lines in the shape of a horse's hoop using dreambooth. Sort: recently updated msh1031 wafer gudeoungi complex prompts text to image • updated oct 4, 2023 • 1 msh1031 wafer thnn complex prompts text to image • updated oct 4, 2023 msh1031 wafer cbloss complex prompts updated oct 4, 2023.
Msh1031 Wafer Thnn Complex Prompts Hugging Face Wafer thnn complex prompts like 0 text to image diffusers safetensors stablediffusionpipeline stable diffusion stable diffusion diffusers dreambooth inference endpoints license:creativeml openrail m model card filesfiles and versions community train deploy use this model main wafer thnn complex prompts 1 contributor history:2 commits msh1031. We’re on a journey to advance and democratize artificial intelligence through open source and open science. This is a dreambooth model derived from compvis stable diffusion v1 4. the weights were trained on a small sks defect in sem wafer using dreambooth. you can find some example images in the following. dreambooth for the text encoder was enabled: false. The objective is, instead, a simple solution for working with prompt templates locally or on the hf hub, which is interoperable with other libraries and which the community can build upon.
Msh1031 Wafer Gudeoungi Complex Prompts Hugging Face This is a dreambooth model derived from compvis stable diffusion v1 4. the weights were trained on a small sks defect in sem wafer using dreambooth. you can find some example images in the following. dreambooth for the text encoder was enabled: false. The objective is, instead, a simple solution for working with prompt templates locally or on the hf hub, which is interoperable with other libraries and which the community can build upon. A fully loaded, hands on guide that takes you from your first model to production grade ai using the complete hugging face ecosystem. Keep up with ai. discover, demo, and deploy open source models. Hugging face mainly focuses on models, datasets and libraries, along with tools for training, evaluation, prompting and deployment. this section introduces the platform, environment setup and how pre trained models are used. The pipeline api in hugging face's transformers library makes it easy to perform complex machine learning tasks without delving into the underlying code or model details.
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