Instructions to use dyllanesl/ASL_Diffusion_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dyllanesl/ASL_Diffusion_Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dyllanesl/ASL_Diffusion_Model", 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
Update model_index.json
Browse files- model_index.json +9 -4
model_index.json
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"_class_name": "
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{
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"_class_name": "ModelIndex",
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"model_type": "UNet2DModel",
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"model_index": [
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{
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"model_type": "UNet2DModel",
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"config": "config.json",
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"weights": "diffusion_pytorch_model.safetensors"
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}
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]
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}
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