Chroma1 Base

--- license: apache-2.0 pipeline_tag: text-to-image --- # Chroma1-Base Chroma1-Base is an **8.9B** parameter text-to-image foundational model based on **FLUX.1-schnell**. It is fully **Apache 2.0 licensed**, ensuring that anyone can use, modify, and build upon it. As a **base model**, Chroma1 is intentionally designed to be an excellent starting point for **finetuning**. It provides a strong, neutral foundation for developers, researchers, and artists to create specialized models. for the fast CFG "baked" version please go to [Chroma1-Flash](https://huggingface.co/lodestones/Chroma1-Flash). ### Key Features * **High-Performance Base:** 8.9B parameters, built on the powerful FLUX.1 architecture. * **Easily Finetunable:** Designed as an ideal checkpoint for creating custom, specialized models. * **Community-Driven & Open-Source:** Fully transparent with an Apache 2.0 license, and training history. * **Flexible by Design:** Provides a flexible foundation for a wide range of generative tasks. ## Special Thanks A massive thank you to our supporters who make this project possible. * **Anonymous donor** whose incredible generosity funded the pretraining run and data collections. Your support has been transformative for open-source AI. * **Fictional.ai** for their fantastic support and for helping push the boundaries of open-source AI. You can try Chroma on their platform: [](https://fictional.ai/?ref=chroma_hf) ## How to Use ### `diffusers` Library install the requirements `pip install transformers diffusers sentencepiece accelerate` ```python import torch from diffusers import ChromaPipeline pipe = ChromaPipeline.from_pretrained("lodestones/Chroma1-Base", torch_dtype=torch.bfloat16) pipe.enable_model_cpu_offload() prompt = [ "A high-fashion close-up portrait of a blonde woman in clear sunglasses. The image uses a bold teal and red color split for dramatic lighting. The background is a simple teal-green. The photo is sharp and well-composed, and is designed for viewing with anaglyph 3D glasses for optimal effect. It looks professionally done." ] negative_prompt = ["low quality, ugly, unfinished, out of focus, deformed, disfigure, blurry, smudged, restricted palette, flat colors"] image = pipe( prompt=prompt, negative_prompt=negative_prompt, generator=torch.Generator("cpu").manu...