Instructions to use proxima/halloween_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use proxima/halloween_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("proxima/halloween_diffusion", 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
Add `clip_sample=False` to scheduler to make model compatible with DDIM.
#2
by patrickvonplaten - opened
Hey proxima π,
Your model repository seems to contain a stable diffusion checkpoint. We have noticed that your scheduler config currently does not correctly work with the DDIMScheduler because clip_sample is not set to False and will therefore incorrectly default to True.
The official stable diffusion checkpoints have clip_sample=False so that the scheduler config works will all schedulers, see: https://huggingface.co/stabilityai/stable-diffusion-2-1-base/blob/main/scheduler/scheduler_config.json#L7.
We strongly recommend that you merge this PR to make sure your model works correctly with DDIM.
Diffusingly,
Patrick.
proxima changed pull request status to merged