Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
unconditional-image-generation
diffusion-models-class
Instructions to use shellypeng/model_am with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shellypeng/model_am with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shellypeng/model_am", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bf17320018e018c14bc4ba297755d256fe7ec4b05cce5e80f210c3b1f82b9f1d
- Size of remote file:
- 1.72 GB
- SHA256:
- 1e823bd5a941a692ec2fb1887436110aff28f006a6978ab0e685dd599d74007c
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