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
Download airic_mirror/DH_Royle_Temperament_v1.0.ckpt from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 3.85 GB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/dce7c44aacf4522ee9ca84d2ff2985f7a3885da5/airic_mirror/DH_Royle_Temperament_v1.0.ckpt
- Command line
-
hf download hf://mirroring/civitai_mirror@dce7c44aacf4522ee9ca84d2ff2985f7a3885da5/airic_mirror/DH_Royle_Temperament_v1.0.ckpt
-
curl -L -o DH_Royle_Temperament_v1.0.ckpt https://huggingface.co/mirroring/civitai_mirror/resolve/dce7c44aacf4522ee9ca84d2ff2985f7a3885da5/airic_mirror/DH_Royle_Temperament_v1.0.ckpt
3.85 GB
- Xet hash:
- a893f13725e2a9dcb52084dc3059c2c7a682169f9428b54ed9aba91d6b6993f2
- Size of remote file:
- 3.85 GB
- SHA256:
- 95f931b25daa871edd0170887e9dd22a57ee449371a2ebb6dd6f622224a45b13
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