Instructions to use agmjd/castonelight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use agmjd/castonelight with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mr-J-369/RealHotSpice-SD1.5-qnn2.28", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("agmjd/castonelight") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Calstone_Light_O_IL.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1b0998de42ceb2b9cd908c73218bdcba8c7a61f8b4aa517caa2f3c09e1d419c
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size 228460660
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images/ee973a3e4332a8c08a88d2f03e9f6ae3ca6ff6cfbd17f59c96075a7ff76acd55.0.JPG
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