Absynth is a series of specialized variant Stable Diffusion Base Models, meticulously crafted through the fusion of custom trained Negative LoRAs, fine-tune-merged inversely to expand and enhance the model's ability to generate hyper-detailed images.
Versions are available for Stable Diffusion 3.5 Large & Stable Diffusion 3.5 Medium at various sizes on this page as well as a SDXL version of Absynth that has its own page.
NOTICE: The fp8 version of Absynth 3.5L v1.9 is currently the best version.
Absynth is a work in progress being fine-tuned on less-than optimal hardware, new versions will be shared as meaningful progress is made. We are further refining Absynth’s unique training approach to more detailed results.
Absynth may sometimes produce over-detailed images or visual artifacts. Efforts are underway to improve stability and refine its output in future updates.
Absynth was created by Doctor Diffusion in partnership with FreeUse AI.
Absynth - Enhanced Stable Diffusion 3.5 Base Models is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user doctor_diffusion. Derived from the powerful Stable Diffusion (SD 3.5 Large) model, Absynth - Enhanced Stable Diffusion 3.5 Base Models 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 Absynth - Enhanced Stable Diffusion 3.5 Base Models is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as photorealistic, base model, stable diffusion.
With a rating of 0 and over 0 ratings, Absynth - Enhanced Stable Diffusion 3.5 Base Models is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Absynth - Enhanced Stable Diffusion 3.5 Base Models from here.
To use Absynth - Enhanced Stable Diffusion 3.5 Base Models, 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 Absynth - Enhanced Stable Diffusion 3.5 Base Models, check out our crash course in AI image generation.
I find the fp8 version to be a little less overcooked and works better but I will keep this here.
Corrections to the t5_max_length
for SD3.5L training resulted in this improved test version created in conjunction with FreeUse AI.
Suggested settings:
steps: 40
cfg: 4.5
sampler: dpmpp_2m
scheduler: sgm_uniform
Go ahead and upload yours!
Your query returned no results – please try removing some filters or trying a different term.