--- license: openrail++ language: - en tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image widget: - text: "Hubble snaps images of the birthplace of stars within a cluster: The dust and gas expand within the cluster due to the powerful influence of baby stars. With these new images comes improved detail and a clearer view for astronomers to study how early stars are born and change over time." example_title: Baby Stars - text: "Hubble captures the death of a star: Old stars, nearing the end of their life, collapse under the weight of their own gravity and the outer layers explode as a 'supernova'. In this image Hubble captures the moments after collapse, where the star has exploded and left an empty void in its place, where a new black hole has emerged." example_title: Old Stars - text: "Hubble image of galaxies colliding: The distorted spirals of two distant galaxies colliding are captured here in a new image from the NASA/ESA Hubble Space Telescope. The typically symmetric spirals common in spiral galaxies appear significantly warped, as the shape of both galaxies is torn apart by their gravitational pulls." example_title: Galaxies Collide - text: "Pink-tinted plumes in the Large Magellanic Cloud: The aggressively pink plumes seen in this image are extremely uncommon, with purple-tinted currents and nebulous strands reaching out into the surrounding space." example_title: Pink Plumes - text: "The stellar plasma of Wolf 359: The red dwarf star Wolf 359 from the constellation Leo is captured in extreme detail in a new image from the NASA/ESA Hubble Space Telescope. Wolf 359, classified as a M6 red dwarf, has certain peculiar qualities indicated by an unusual ejection of plasma. The Hubble telescope was able to capture one such event" example_title: Wolf 359 thumbnail: "" inference: true datasets: - Supermaxman/esa-hubble --- # Hubble Diffusion v2: Stable Diffusion v2.1 fine tuned on ESA Hubble Deep Space Images & Captions Put in a detailed text prompt and generate high-quality Hubble Deep Space Images! Now with Stable Diffusion 2.1! > Hubble captures the death of a star: Old stars, nearing the end of their life, collapse under the > weight of their own gravity and the outer layers explode as a 'supernova'. In this image Hubble > captures the moments after collapse, where the star has exploded and left an empty void in its > place, where a new black hole has emerged. ![old.png](https://github.com/Supermaxman/HubbleDiffuser/blob/f0020b338dc13adfbac9b9e2dfa647a37df5026a/examples/hubble-diffusion-2/old.png?raw=true) > Pink-tinted plumes in the Large Magellanic Cloud: > The aggressively pink plumes seen in this image are extremely uncommon, > with purple-tinted currents and nebulous strands reaching out into the surrounding space. ![pink.png](https://github.com/Supermaxman/HubbleDiffuser/blob/f0020b338dc13adfbac9b9e2dfa647a37df5026a/examples/hubble-diffusion-2/pink.png?raw=true) > Hubble snaps images of the birthplace of stars within a cluster: > The dust and gas expand within the cluster due to the powerful influence of baby stars. > With these new images comes improved detail and a clearer view for astronomers to > study how early stars are born and change over time. ![baby.png](https://github.com/Supermaxman/HubbleDiffuser/blob/f0020b338dc13adfbac9b9e2dfa647a37df5026a/examples/hubble-diffusion-2/baby.png?raw=true) > Hubble image of galaxies colliding: The distorted spirals of two distant galaxies colliding are > captured here in a new image from the NASA/ESA Hubble Space Telescope. The typically symmetric > spirals common in spiral galaxies appear significantly warped, as the shape of both galaxies is torn > apart by their gravitational pulls. ![collide.png](https://github.com/Supermaxman/HubbleDiffuser/blob/f0020b338dc13adfbac9b9e2dfa647a37df5026a/examples/hubble-diffusion-2/collide.png?raw=true) > The stellar plasma of Wolf 359: The red dwarf star Wolf 359 from the constellation Leo is captured in extreme detail in a new image from the NASA/ESA Hubble Space Telescope. > Wolf 359, classified as a M6 red dwarf, has certain peculiar qualities indicated by an unusual ejection of plasma. The Hubble telescope was able to capture one such event ![wolf359.png](https://github.com/Supermaxman/HubbleDiffuser/blob/f0020b338dc13adfbac9b9e2dfa647a37df5026a/examples/hubble-diffusion-2/wolf359.png?raw=true) ## Model Details - **Developed by:** Maxwell Weinzierl - **Model type:** Diffusion-based text-to-image generation model - **Language(s):** English - **License:** [CreativeML Open RAIL++-M License](https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL) - **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 a fixed, pretrained text encoder ([OpenCLIP-ViT/H](https://github.com/mlfoundations/open_clip)). - **Resources for more information:** [GitHub Repository](https://github.com/Stability-AI/). - **Cite as:** @misc{weinzierl2023sdhubble2, author = {Weinzierl, Maxwell A.}, title = {Hubble Diffusion v2: Stable Diffusion v2.1 fine tuned on ESA Hubble Deep Space Images & Captions}, year={2023}, howpublished= {\url{https://huggingface.co/Supermaxman/hubble-diffusion-2}} } Also, be sure to check out the prior version [Hubble Diffusion v1](https://huggingface.co/Supermaxman/hubble-diffusion-1)! ## Examples We recommend using [🤗's Diffusers library](https://github.com/huggingface/diffusers) to run Hubble Diffusion. ### Usage ```bash pip install transformers diffusers accelerate ``` ```python import torch from diffusers import StableDiffusionPipeline model_id = "Supermaxman/hubble-diffusion-2" pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) pipe = pipe.to("cuda") # saves significant GPU memory for small inference cost pipe.enable_attention_slicing() prompt = "Hubble snaps images of the birthplace of stars within a cluster: The dust and gas expand within the cluster due to the powerful influence of baby stars. With these new images comes improved detail and a clearer view for astronomers to study how early stars are born and change over time." image = pipe(prompt).images[0] image ``` ![example.png](https://github.com/Supermaxman/HubbleDiffuser/blob/f0020b338dc13adfbac9b9e2dfa647a37df5026a/examples/hubble-diffusion-2/example.png?raw=true) ## Model description Trained on [ESA Hubble Deep Space Images & Captions](https://huggingface.co/datasets/Supermaxman/esa-hubble) using [Google Colab Pro](https://colab.research.google.com/signup) with a single A100 GPU for around 33,000 steps (about 12 hours, at a cost of about $20). ## Links - [Captioned Hubble Deep Space Scans dataset](https://huggingface.co/datasets/Supermaxman/esa-hubble) - [Model weights in Diffusers format](https://huggingface.co/Supermaxman/hubble-diffusion-2) - [Training code](https://github.com/Supermaxman/HubbleDiffuser) - [Hubble Diffusion v1](https://huggingface.co/Supermaxman/hubble-diffusion-1) Trained by [Maxwell Weinzierl](https://personal.utdallas.edu/~maxwell.weinzierl/) ([@Supermaxman1](https://twitter.com/Supermaxman1)). ## Citation ```bibtex @misc{weinzierl2023sdhubble2, author = {Weinzierl, Maxwell A.}, title = {Hubble Diffusion v2: Stable Diffusion v2.1 fine tuned on ESA Hubble Deep Space Images & Captions}, year={2023}, howpublished= {\url{https://huggingface.co/Supermaxman/hubble-diffusion-2}} } ```