stable-diffusion stable-diffusion-diffusers text-to-image art artistic diffusers

Dreamlike Diffusion 1.0 is SD 1.5 fine tuned on high quality art, made by dreamlike.art.

Use the same prompts as you would for SD 1.5. Add dreamlikeart if the artstyle is too weak.
Non-square aspect ratios work better for some prompts. If you want a portrait photo, try using a 2:3 or a 9:16 aspect ratio. If you want a landscape photo, try using a 3:2 or a 16:9 aspect ratio.
Use slightly higher resolution for better results: 640x640px, 512x768px, 768x512px, etc.

Examples

<img src="https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0/resolve/main/preview.jpg" style="max-width: 800px;" width="100%"/> <img src="https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0/resolve/main/1.jpg" style="max-width: 800px;" width="100%"/> <img src="https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0/resolve/main/2.jpg" style="max-width: 800px;" width="100%"/>

dreamlike.art

You can use this model for free on dreamlike.art!

<img src="https://huggingface.co/dreamlike-art/dreamlike-photoreal-1.0/resolve/main/dreamlike.jpg" style="max-width: 1000px;" width="100%"/>

Gradio

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

CompVis

Download dreamlike-diffusion-1.0.ckpt (2.13GB)

🧨 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
import torch

model_id = "dreamlike-art/dreamlike-diffusion-1.0"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "dreamlikeart, a grungy woman with rainbow hair, travelling between dimensions, dynamic pose, happy, soft eyes and narrow chin, extreme bokeh, dainty figure, long hair straight down, torn kawaii shirt and baggy jeans, In style of by Jordan Grimmer and greg rutkowski, crisp lines and color, complex background, particles, lines, wind, concept art, sharp focus, vivid colors"
image = pipe(prompt).images[0]

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

License

This model is licesed under a modified CreativeML OpenRAIL-M license.