Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photorealistic
Photoreal
dreamlike-art
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/DreamlikePhotoreal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DreamlikePhotoreal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/DreamlikePhotoreal", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Work in progress.
This model never got a chance to shine, being eclipsed by the DreamlikeDiffusion, DreamlikeAnime and DreamlikePhotoReal2 models, called "obsolete" and pulled under the rug, with some people being unable to use it in modern software that rejects the ckpt format. Until now as I'm releasing the safetensors version. DreamlikePhotoreal.safetensors has the 840KVAE baked in for better details and contrast.
Check its license at the original page: https://huggingface.co/dreamlike-art/dreamlike-photoreal-1.0
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