Instructions to use GenerativeApex/apexbadges-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GenerativeApex/apexbadges-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GenerativeApex/apexbadges-v1", 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
Add `clip_sample=False` to scheduler to make model compatible with DDIM.
Hey GenerativeApex 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.
Hey Patrick, thank you so much for the catch and fix! Merging now.