Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
photorealistic
photoreal
Instructions to use dreamlike-art/dreamlike-photoreal-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dreamlike-art/dreamlike-photoreal-2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dreamlike-art/dreamlike-photoreal-2.0", 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 Settings
- Draw Things
- DiffusionBee
Image generation comparison report
#44
by tedmasterwebgmail - opened
I'm working on a personal project that requires the creation of hundreds of "selfies" (headshots, actually). I compared 20 models and produced samples for each using the same prompt. I'm posting this here in case it can save anyone time when doing similar research. You can see the report here: https://www.chicagoitsystems.com/ai-model-samples/
This model produced the best results of the 20 models I tested!
I would love your feedback!
Ted Stresen-Reuter