FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8
FLUX_Schnell_FLAN_FP8
Felldude
FLUX.1 (Base UNET) + Google FLAN
Full Checkpoint with improved TE do not load additional CLIP/TE
This model took the 42GB FP32 Google Flan T5xxl and quantized it with improved CLIP-L for Flux. To my knowledge no one else has posted or attempted this.
Quantized from FP32 T5xxl (42GB 11B Parameter)
Base UNET no baked lora's or other changes
Full FP16 version is available.
NF4 Full checkpoint is ready to use in Comfy with NF4 loader or natively in Forge (Forge has Lora Support and Comfy is taking 10x longer then Forge per IT - I prefer comfy but the NF4 support is garbage)
FP8 version recommended for comfy just use standard checkpoint loader. (NF4 is recommended for Forge as it looses less in Quantitation)
Again Do not load a separate VAE, CLIP or TE - FP32 Quantized versions baked in.
Per the Apache 2.0 license FLAN is attributed to Google
What is FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8?
FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 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 (Flux.1 D) model, FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 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 FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as base model, flux1.s, nf4.
With a rating of 0 and over 0 ratings, FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 is a popular choice among users for generating high-quality images from text prompts.
Can I download FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8?
Yes! You can download the latest version of FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 from here.
How to use FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8?
To use FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8, 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 FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8, check out our crash course in AI image generation.
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