PROzChoice (11B Parameter FT Distilled)
FP8_Checkpoint_PONY_CLIP
Felldude
PROzChoice
(51/50)
NOTE: BF16 Model is diffusion only. Read this guide on use.
FP8 Models are full checkpoints with CLIP & VAE attached.
Currently the FP32 version is exclusive to TensorArt
It is a 11B parameter training distilled to allow a perfect blend of SDXL and PONY while using SDXL CLIP
You can use SDXL named celebrity's or PONY characters
SDXL LORA's preferred over PONY
Should work with SDXL control nets as the model was quantized from FP32 CLIP-L and CLIP-G
The diffusion (UNET) model will work with either SDXL or PONY CLIP-G and CLIP-L
Why 51/50 because 51/49 does not sound good, even if it is more accurate.
What is PROzChoice (11B Parameter FT Distilled)?
PROzChoice (11B Parameter FT Distilled) is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user Felldude. Derived from the powerful Stable Diffusion (Pony) model, PROzChoice (11B Parameter FT Distilled) 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 PROzChoice (11B Parameter FT Distilled) is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as base model, pony, sdxl.
With a rating of 0 and over 0 ratings, PROzChoice (11B Parameter FT Distilled) is a popular choice among users for generating high-quality images from text prompts.
Can I download PROzChoice (11B Parameter FT Distilled)?
Yes! You can download the latest version of PROzChoice (11B Parameter FT Distilled) from here.
How to use PROzChoice (11B Parameter FT Distilled)?
To use PROzChoice (11B Parameter FT Distilled), 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 PROzChoice (11B Parameter FT Distilled), check out our crash course in AI image generation.
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Latest version (FP8_Checkpoint_PONY_CLIP): 1 File
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