Instructions to use dn6/xlm-clip-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dn6/xlm-clip-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dn6/xlm-clip-test", 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
Upload folder using huggingface_hub
Browse files- config.json +4 -0
- diffusion_pytorch_model.safetensors +3 -0
config.json
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{
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"_class_name": "CLIPModel",
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"_diffusers_version": "0.35.1"
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}
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diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a951687b90f65b3901843c24884035970c41afe2f653b640b4f03b1e09fa09ec
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size 2386117490
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