metadata

language:
  - en
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - art
  - artistic
  - diffusers
inference: true
license: creativeml-openrail-m

Protogen_x2.2 by darkstorm2150

Protogen was warm-started with Stable Diffusion v1-5 and fine-tuned on a large amount of data from large datasets new and trending on civitai.com.

You can enforce camera capture by using the prompt with "modelshoot style".

It should also be very "dreambooth-able", being able to generate high fidelity faces with a little amount of steps (see dreambooth).

Model Weights

Space

We support a Gradio Web UI to run dreamlike-diffusion-1.0:

CompVis

Download Protogen_V2.2.ckpt) (5.98GB)

🧨 Diffusers

This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion Pipeline.

from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
import torch

prompt = (
"modelshoot style, (extremely detailed CG unity 8k wallpaper), full shot body photo of the most beautiful artwork in the world, "
"english medieval witch, black silk vale, pale skin, black silk robe, black cat, necromancy magic, medieval era, "
"photorealistic painting by Ed Blinkey, Atey Ghailan, Studio Ghibli, by Jeremy Mann, Greg Manchess, Antonio Moro, trending on ArtStation, "
"trending on CGSociety, Intricate, High Detail, Sharp focus, dramatic, photorealistic painting art by midjourney and greg rutkowski"
)

model_id = "darkstorm2150/Protogen_v2.2_Official_Release"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
pipe = pipe.to("cuda")

image = pipe(prompt, num_inference_steps=25).images[0]

image.save("./result.jpg")