by dreamlike-art
Open source · 3k downloads · 1732 likes
Dreamlike Photoreal 2.0 is an AI model specialized in generating ultra-realistic photographic images, built on Stable Diffusion 1.5. It excels at producing visuals of a quality close to professional photography, with precise details and natural textures, ideal for portraits or landscapes. The model allows for aspect ratio adjustments (vertical or horizontal) to optimize results based on the desired scene type, and supports high resolutions while maintaining strong performance. Its use cases include creating images for creative, advertising, or artistic projects, with a particular focus on photorealism. What sets it apart is its ability to generate realistic images while offering flexibility in proportions and easy integration into various creative workflows.
Warning: This model is horny! Add "nude, naked" to the negative prompt if want to avoid NSFW.
You can add photo to your prompt to make your gens look more photorealistic.
Non-square aspect ratios work better for some prompts. If you want a portrait photo, try using a vertical aspect ratio. If you want a landscape photo, try using a horizontal aspect ratio.
This model was trained on 768x768px images, so use 768x768px, 640x896px, 896x640px, etc. It also works pretty good with higher resolutions such as 768x1024px or 1024x768px.
You can use this model for free on dreamlike.art!
Download dreamlike-photoreal-2.0.ckpt (2.13GB)
Download dreamlike-photoreal-2.0.safetensors (2.13GB)
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
import torch
model_id = "dreamlike-art/dreamlike-photoreal-2.0"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "photo, a church in the middle of a field of crops, bright cinematic lighting, gopro, fisheye lens"
image = pipe(prompt).images[0]
image.save("./result.jpg")
This model is licesed under a modified CreativeML OpenRAIL-M license.