
Note: this mix needs a VAE model on the side. The usual vae-ft-mse-840000-ema-pruned would do
(hassan*0.7 + vivid*0.3)*0.3 + dreamlike*0.7
(hassan*0.6 + (vivid - sd1.5)*0.4)*0.4 + (dreamlike - sd1.5)*0.6
same as v0.2
grad_v(v0.3, analog diffusion - sd1.5)
s1dlxBrew is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user s1dlx. Derived from the powerful Stable Diffusion (SD 1.5) model, s1dlxBrew 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 s1dlxBrew is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as photorealistic.
With a rating of 4.81 and over 16 ratings, s1dlxBrew is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of s1dlxBrew from here.
To use s1dlxBrew, 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 s1dlxBrew, check out our crash course in AI image generation.
pruned everything and mixed in analog diffusion as
grad_v(v0.3, analog diffusion - sd1.5)