Instructions to use deepgoyal19/new_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepgoyal19/new_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("deepgoyal19/new_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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2da10f3397f7ba88155ebc91eb5c1e10f0f3e84b3450b3d13170a98a83a58845
- Size of remote file:
- 246 MB
- SHA256:
- 0f71a114d416225c67e6a42db10c4ee9dc2d15e596e8aa5ccda8ccd3191e3af9
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