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.

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? Diffusers

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[0]

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:

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

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: