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
Upload models/Stable-diffusion/huggingface/Xynon/noise-offset/offset_noise.ckpt with huggingface_hub
9434067 - Xet hash:
- f40a1d206919c0f0204828530b4d77d8614c0f290183e8419193109344e09a51
- Size of remote file:
- 4.27 GB
- SHA256:
- b17bb14ddaef4b09ef6c5594b3241f8dc9717ce367032529da38b4811cfe7138
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