--- license: other base_model: diffusers/stable-diffusion-xl-base-0.9 tags: - stable-diffusion-xl - stable-diffusion-xl-diffusers - stable-diffusion - text-to-image - diffusers - di.ffusion.ai inference: true library_name: diffusers extra_gated_prompt: >- Copyright (c) Stability AI Ltd. and Source Code Bulgaria Ltd. This License Agreement (as may be amended in accordance with this License Agreement, “License”), between you, or your employer or other entity (if you are entering into this agreement on behalf of your employer or other entity) (“Licensee” or “you”) and Stability AI Ltd. (“Stability AI” or “we”) and Source Code Bulgaria Ltd. 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APPLICABLE LAW; DISPUTE RESOLUTION This License will be governed and construed under the laws of the State of California without regard to conflicts of law provisions. Any suit or proceeding arising out of or relating to this License will be brought in the federal or state courts, as applicable, in San Mateo County, California, and each party irrevocably submits to the jurisdiction and venue of such courts. 11. MISCELLANEOUS If any provision or part of a provision of this License is unlawful, void or unenforceable, that provision or part of the provision is deemed severed from this License, and will not affect the validity and enforceability of any remaining provisions. The failure of Stability AI to exercise or enforce any right or provision of this License will not operate as a waiver of such right or provision. This License does not confer any third-party beneficiary rights upon any other person or entity. This License, together with the Documentation, contains the entire understanding between you and Stability AI regarding the subject matter of this License, and supersedes all other written or oral agreements and understandings between you and Stability AI regarding such subject matter. No change or addition to any provision of this License will be binding unless it is in writing and signed by an authorized representative of both you and Stability AI. 12.ADDITIONAL TERMS FOR FFUSION.AI In addition to the terms set forth above, the following terms apply specifically to the FFusionXL-09-SDXL model developed by FFusion.AI, a division of Source Code Bulgaria Ltd: a. Any use of the FFusionXL-09-SDXL model must include proper attribution to FFusion.AI and Source Code Bulgaria Ltd. in any publication or public work that includes results achieved by or data generated by the model. b. The FFusionXL-09-SDXL model is provided for non-commercial research purposes only. Any commercial use requires a separate license agreement with Source Code Bulgaria Ltd. c. You may not reverse engineer, decompile, or disassemble the FFusionXL-09-SDXL model. d. You agree to indemnify and hold harmless Source Code Bulgaria Ltd. and its affiliates from any claims, damages, liabilities, costs, losses, and expenses (including reasonable attorney's fees) arising out of your use of the FFusionXL-09-SDXL model. extra_gated_heading: FFXL Researcher Preliminary Access License Agreement extra_gated_description: FFXL-SDXL 0.9 RESEARCH LICENSE AGREEMENT extra_gated_button_content: Submit application extra_gated_fields: "Organization or Personal Alias": text "Nature of research(optional)": text "Personal researcher link (Civitai, website, github, HF)": text "Further Information (Feel free to provide additional details)": text "I acknowledge the license agreement stated above and pledge to utilize the Software strictly for non-commercial research": checkbox --- # FFXL Model Card ## Model FFXL consists of a two-step pipeline for latent diffusion: First, we use a base model to generate latents of the desired output size. In the second step, we use a specialized high-resolution model and apply a technique called SDEdit (https://arxiv.org/abs/2108.01073, also known as "img2img") to the latents generated in the first step, using the same prompt. ### Model Description - **Developed by:** FFusion AI - **Model type:** Diffusion-based text-to-image generative model - **License:** [FFXL Research License](https://huggingface.co/FFusion/FFusionXL-09-SDXL/blob/main/LICENSE.md) - **Model Description:** This is a model that can be used to generate and modify images based on text prompts. It is a [Latent Diffusion Model](https://arxiv.org/abs/2112.10752) that uses two fixed, pretrained text encoders ([OpenCLIP-ViT/G](https://github.com/mlfoundations/open_clip) and [CLIP-ViT/L](https://github.com/openai/CLIP/tree/main)). - **Resources for more information:** [FFXL paper on arXiv](https://arxiv.org/abs/2307.01952). ### Model Sources - **Repository:** soon - **Demo [optional]:** soon ### 🧨 Diffusers Make sure to upgrade diffusers to >= 0.18.0: ``` pip install diffusers --upgrade ``` In addition make sure to install `transformers`, `safetensors`, `accelerate` as well as the invisible watermark: ``` pip install invisible_watermark transformers accelerate safetensors ``` You can use the model then as follows ```py from diffusers import DiffusionPipeline import torch pipe = DiffusionPipeline.from_pretrained("FFusion/FFusionXL-09-SDXL", torch_dtype=torch.float16, use_safetensors=True, variant="fp16") pipe.to("cuda") # if using torch < 2.0 # pipe.enable_xformers_memory_efficient_attention() prompt = "An astronaut riding a green horse" images = pipe(prompt=prompt).images[0] ``` When using `torch >= 2.0`, you can improve the inference speed by 20-30% with torch.compile. Simple wrap the unet with torch compile before running the pipeline: ```py pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True) ``` If you are limited by GPU VRAM, you can enable *cpu offloading* by calling `pipe.enable_model_cpu_offload` instead of `.to("cuda")`: ```diff - pipe.to("cuda") + pipe.enable_model_cpu_offload() ``` ## Uses ### Direct Use The model is intended for research purposes only. Possible research areas and tasks include - Generation of artworks and use in design and other artistic processes. - Applications in educational or creative tools. - Research on generative models. - Safe deployment of models which have the potential to generate harmful content. - Probing and understanding the limitations and biases of generative models. Excluded uses are described below. ### Out-of-Scope Use The model was not trained to be factual or true representations of people or events, and therefore using the model to generate such content is out-of-scope for the abilities of this model. ## Limitations and Bias ### Limitations - The model does not achieve perfect photorealism - The model cannot render legible text - The model struggles with more difficult tasks which involve compositionality, such as rendering an image corresponding to “A red cube on top of a blue sphere” - Faces and people in general may not be generated properly. - The autoencoding part of the model is lossy. ### Bias While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases. **Attribution:** "SDXL 0.9 is licensed under the SDXL Research License, Copyright (c) Stability AI Ltd. All Rights Reserved." [FFXL 0.9 Research License](https://huggingface.co/FFusion/FFusionXL-09-SDXL/blob/main/LICENSE.md)" ## License [SDXL 0.9 Research License](https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9/blob/main/LICENSE.md)" [![Email](https://img.shields.io/badge/Email-di%40ffusion.ai-blue?style=for-the-badge&logo=gmail)](mailto:di@ffusion.ai)