Instructions to use YiYiXu/a2-diffusers-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YiYiXu/a2-diffusers-testing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YiYiXu/a2-diffusers-testing", 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
Add files using upload-large-folder tool
Browse files- image_encoder/model.safetensors +3 -0
- text_encoder/model-00001-of-00003.safetensors +3 -0
- text_encoder/model-00002-of-00003.safetensors +3 -0
- text_encoder/model-00003-of-00003.safetensors +3 -0
- transformer/diffusion_pytorch_model-00001-of-00004.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00004.safetensors +3 -0
- transformer/diffusion_pytorch_model-00003-of-00004.safetensors +3 -0
- transformer/diffusion_pytorch_model-00004-of-00004.safetensors +3 -0
image_encoder/model.safetensors
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