progamergov
Originally posted to HuggingFace by ProGamerGov
This fine-tuned Stable Diffusion v1.5 model was trained for 2000 iterations with a batch size of 4, on a selection of photos of things taped to wall. Training was performed using ShivamShrirao/diffusers with full precision, prior-preservation loss, the train-text-encoder feature, and the new 1.5 MSE VAE from Stability AI. A total of 2100 regularization / class images were used from here. Regularization images were generated using the prompt "artwork style" with 50 DPM++ 2S a Karras steps and a CFG of 7, using the MSE VAE. A negative prompt of "text" was also used for this dataset.
Use the tokens ttw style in your prompts for the effect. Note that the effect also appears to occur at a much weaker strength on prompts that steer the output towards specific artistic styles.
This model will likely not perform well on taping objects that are not traditionally able to be taped to walls.
Example images were generated with the v1 2000 iteration model using DPM++ 2S a Karras:
ttw style, <object> taped to wallWhat is Object Taped To Wall?
Object Taped To Wall is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user progamergov. Derived from the powerful Stable Diffusion (SD 1.5) model, Object Taped To Wall has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Object Taped To Wall is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as style, artistic.
With a rating of 5 and over 2 ratings, Object Taped To Wall is a popular choice among users for generating high-quality images from text prompts.
Can I download Object Taped To Wall?
Yes! You can download the latest version of Object Taped To Wall from here.
How to use Object Taped To Wall?
To use Object Taped To Wall, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Object Taped To Wall, check out our crash course in AI image generation.
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