nitrosocke / archer-diffusion

Archer on Stable Diffusion via Dreambooth

  • Public
  • 8.4K runs
  • GitHub
  • License
Run with an API
Playground API Examples README Versions

Examples

View more

Run time and cost

This model costs approximately $0.016 to run on Replicate, or 62 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 12 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Model weights: https://huggingface.co/nitrosocke/archer-diffusion

Archer Diffusion

This is the fine-tuned Stable Diffusion model trained on screenshots from the TV-show Archer. Use the tokens archer style in your prompts for the effect.

Portraits rendered with the model: Portrait Samples Celebrities rendered with the model: Celebrities Samples Landscapes rendered with the model: Landscape Samples Animals rendered with the model: Animal Samples Sample images used for training: Training Samples

Prompt and settings for portraits:

archer style beautiful portrait of ariana grande Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 946707299, Size: 512x704

Prompt and settings for landscapes:

archer style suburban street night blue indoor lighting Negative prompt: grey cars Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 2915669764, Size: 1024x576

This model was trained using the diffusers based dreambooth training and prior-preservation loss in 4.000 steps and using the train-text-encoder feature.

License

This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:

  1. You can’t use the model to deliberately produce nor share illegal or harmful outputs or content
  2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
  3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully) Please read the full license here