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.
If you enjoy my work, please consider supporting me
This model can be used just like any other Stable Diffusion model. For more information,
please have a look at the Stable Diffusion.
You can also export the model to ONNX, MPS and/or FLAX/JAX.
#!pip install diffusers transformers scipy torch from diffusers import StableDiffusionPipeline import torch model_id = "nitrosocke/archer-diffusion" pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) pipe = pipe.to("cuda") prompt = "a magical princess with golden hair, archer style" image = pipe(prompt).images image.save("./magical_princess.png")
Portraits rendered with the model:
Celebrities rendered with the model:
Landscapes rendered with the model:
Animals rendered with the model:
Sample images used for training:
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.
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:
- You can’t use the model to deliberately produce nor share illegal or harmful outputs or content
- 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
- 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