Instructions to use chamuditha4/claymotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chamuditha4/claymotion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("chamuditha4/claymotion") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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claymation-000012.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3c5b43638cee639177f37fd8026a887f8198ea64208646204bea24db3a15ed5
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size 19267000
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images/ComfyUI_02717_.png
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Git LFS Details
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