Instructions to use mirroring/civitai_mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mirroring/civitai_mirror with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mirroring/civitai_mirror", 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
Collaboration request and contact info?
#39
by AnzheLi - opened
Sup Mirroring, we are a platform that help model-creators to distribute, test and monetize their models. You have a lot of excellent models we'd love to collab with. Is there a better way to contact you to talk about more details?
None of the models here belong to me, this is literally just a partial mirror of stuff that I and a few others appreciate on civitai and prefer not to disappear. I exclusively use cloud platforms for generation, and this is where I pull the models I use (civitai is also slower and less reliable than huggingface, and has occasional issues where it gives you the wrong file)