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", torch_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:
- 4c81a699a0a81338467ff4b91f250c73434e34b1d16f6230f06849490d7ac42f
- Size of remote file:
- 167 MB
- SHA256:
- 04dd577af37dcdb9301401aa0379dce456716321d37035c9c8a3f7545e284e35
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