Instructions to use timduck8/CA002v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timduck8/CA002v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("timduck8/CA002v2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
CA002_SD_Lora_v2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9322aad79e347f6b31a09501df0807e0dbcfd6365c1edfe2fc2201280ad117e
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size 228454972
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images/1751260672898828907_PgNTXYeu (1).jpg
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Git LFS Details
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