For those who don't care about size, also blended full dev fp16 with VAE, text encoder T5xxl-fp16 and Clip-l in NF4. All included!
From many observations, the FP8 is a bit more accurate in understanding the prompt. And having assembled this build and tested it, I came to the same conclusion.
This model is a bit more accurate than the familiar NF4 v2. I've done a lot of generation with complex prompts to assert this. And I am completely satisfied with the way this model understands me. With simple prompts I didn't notice any difference.
The model works well with lors in Forge, in which I create in. Don't forget to select in Diffusion in Low Bits: Automatic (fp16 LoRA).
In Forge I choose Euler or Flux Realistic samplers, Schedule type: Simple. CFG: 1, number of steps 20-30.
Generated outputs can be used for personal, scientific, and commercial purposes as described in the flux-1-dev-non-commercial-license
Precize Flux dev NF4 FP8/FP16 | CLIP and VAE included is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user Abzaloff. Derived from the powerful Stable Diffusion (Flux.1 D) model, Precize Flux dev NF4 FP8/FP16 | CLIP and VAE included 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 Precize Flux dev NF4 FP8/FP16 | CLIP and VAE included is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as photorealistic, base model, fantasy.
With a rating of 0 and over 0 ratings, Precize Flux dev NF4 FP8/FP16 | CLIP and VAE included is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Precize Flux dev NF4 FP8/FP16 | CLIP and VAE included from here.
To use Precize Flux dev NF4 FP8/FP16 | CLIP and VAE included, 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 Precize Flux dev NF4 FP8/FP16 | CLIP and VAE included, check out our crash course in AI image generation.
This model is converted to bnb nf4 by mixing Flux dev fp8 with VAE, text encoder T5xxl-fp8 and Clip-l. All included!