license: creativeml-openrail-m
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.
If you enjoy this model, please check out my other models on Huggingface
🧨 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:
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.