Instructions to use prompthero/openjourney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prompthero/openjourney with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("prompthero/openjourney", torch_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
Set 'sample_size' in config to 64
#50
by ferdithedev - opened
No description provided.
ferdithedev changed pull request title from Set 'sample_size' to 64 to Set 'sample_size' in config to 64
I'm seeing this as well -
/root/.pyenv/versions/3.9.16/lib/python3.9/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:151: FutureWarning: The configuration file of the unet has set the default `sample_size` to smaller than 64 which seems highly unlikely. If your checkpoint is a fine-tuned version of any of the following:
- CompVis/stable-diffusion-v1-4
- CompVis/stable-diffusion-v1-3
- CompVis/stable-diffusion-v1-2
- CompVis/stable-diffusion-v1-1
- runwayml/stable-diffusion-v1-5
- runwayml/stable-diffusion-inpainting
you should change 'sample_size' to 64 in the configuration file. Please make sure to update the config accordingly as leaving `sample_size=32` in the config might lead to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `unet/config.json` file
deprecate("sample_size<64", "1.0.0", deprecation_message, standard_warn=False)