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--- |
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license: other |
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license_name: bria-2.2 |
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license_link: https://bria.ai/customer-general-terms-and-conditions |
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library_name: diffusers |
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inference: |
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parameters: |
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num_inference_steps: 30 |
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tags: |
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- text-to-image |
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- legal liability |
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- commercial use |
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extra_gated_description: Model weights from BRIA AI can be obtained with the purchase of a commercial license. Fill in the form below and we reach out to you. |
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extra_gated_heading: "Fill in this form to request a commercial license for the model" |
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extra_gated_fields: |
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Name: text |
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Company/Org name: text |
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Org Type (Early/Growth Startup, Enterprise, Academy): text |
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Role: text |
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Country: text |
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Email: text |
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By submitting this form, I agree to BRIA’s Privacy policy and Terms & conditions, see links below: checkbox |
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--- |
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# BRIA 2.2: Text-to-Image Model for Commercial Licensing |
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Bria AI 2.2 is our groundbreaking text-to-image model explicitly designed for commercial applications. This model combines technological innovation with ethical responsibility and legal security, setting a new standard in the AI industry. Bria AI licenses the foundation model with full legal liability coverage. Our dataset does not contain copyrighted materials, such as fictional characters, logos, trademarks, public figures, harmful content, or privacy-infringing content. |
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For more information, please visit our [website](https://bria.ai/). |
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## A new version is out - check also [BRIA 2.3](https://huggingface.co/spaces/briaai/BRIA-2.3) |
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# What's New |
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Bria AI 2.2, our most capable model, is a premium, commercially licensed product that offers enterprises a powerful tool respecting creator rights and legal boundaries. |
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It presents improved realism and aesthetics. |
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[CLICK HERE FOR A DEMO](https://huggingface.co/spaces/briaai/BRIA-2.2) |
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### Get Access |
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Interested in BRIA 2.2? Purchase is required to license and access BRIA 2.2, ensuring royalty management with our data partners and full liability coverage for commercial use. |
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Are you a startup or a student? We encourage you to apply for our [Startup Program](https://pages.bria.ai/the-visual-generative-ai-platform-for-builders-startups-plan?_gl=1*cqrl81*_ga*MTIxMDI2NzI5OC4xNjk5NTQ3MDAz*_ga_WRN60H46X4*MTcwOTM5OTMzNC4yNzguMC4xNzA5Mzk5MzM0LjYwLjAuMA..) to request access. This program are designed to support emerging businesses and academic pursuits with our cutting-edge technology. |
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Contact us today to unlock the potential of BRIA 2.2! By submitting the form above, you agree to BRIA’s [Privacy policy](https://bria.ai/privacy-policy/) and [Terms & conditions](https://bria.ai/terms-and-conditions/). |
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# Key Features |
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- **Legally Compliant**: Offers full legal liability coverage for copyright and privacy infringements. Thanks to training on 100% licensed data from leading data partners, we ensure the ethical use of content. |
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- **Patented Attribution Engine**: Our attribution engine is our way to compensate our data partners, powered by our proprietary and patented algorithms. |
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- **Enterprise-Ready**: Specifically designed for business applications, Bria AI 2.2 delivers high-quality, compliant imagery for a variety of commercial needs. |
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- **Customizable Technology**: Provides access to source code and weights for extensive customization, catering to specific business requirements. |
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### Model Description |
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- **Developed by:** BRIA AI |
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- **Model type:** Latent diffusion text-to-image model |
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- **License:** [Commercial licensing terms & conditions.](https://bria.ai/customer-general-terms-and-conditions) |
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- Purchase is required to license and access the model. |
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- **Model Description:** BRIA 2.2 is a text-to-image model trained exclusively on a professional-grade, licensed dataset. It is designed for commercial use and includes full legal liability coverage. |
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- **Resources for more information:** [BRIA AI](https://bria.ai/) |
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### Code example using Diffusers |
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``` |
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pip install diffusers |
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``` |
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```py |
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from diffusers import DiffusionPipeline |
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import torch |
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pipe = DiffusionPipeline.from_pretrained("briaai/BRIA-2.2", torch_dtype=torch.float16, use_safetensors=True) |
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pipe.to("cuda") |
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prompt = "A portrait of a Beautiful and playful ethereal singer, golden designs, highly detailed, blurry background" |
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negative_prompt = "Logo,Watermark,Text,Ugly,Morbid,Extra fingers,Poorly drawn hands,Mutation,Blurry,Extra limbs,Gross proportions,Missing arms,Mutated hands,Long neck,Duplicate,Mutilated,Mutilated hands,Poorly drawn face,Deformed,Bad anatomy,Cloned face,Malformed limbs,Missing legs,Too many fingers" |
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images = pipe(prompt=prompt, negative_prompt=negative_prompt, height=1024, width=1024).images[0] |
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``` |
