Instructions to use dhuck/stable-diffusion-clap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dhuck/stable-diffusion-clap with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dhuck/stable-diffusion-clap", 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 StableDiffusionCLAPPipeline
Browse files
text_encoder/config.json
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"_name_or_path": "
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"architectures": [
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"CLIPTextModel"
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"_name_or_path": "stabilityai/stable-diffusion-2-1",
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"architectures": [
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"CLIPTextModel"
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unet/diffusion_pytorch_model.safetensors
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size 3505710728
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