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/galaxytimemachinesGTM_v3Pruned.preview.png with huggingface_hub
f0f9970 
- Xet hash:
- f2eb74ec8dea7c1933bb5f329e092dfdff534e77d77e7a52ed5a349726f33630
- Size of remote file:
- 49.4 kB
- SHA256:
- 2906c0cf0394006909221cb44d9883013f15a334fab7505651bdd1c69ad585d3
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