Instructions to use Transform21/Godard_model_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Transform21/Godard_model_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Transform21/Godard_model_v1", 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:
- d0dfb60c97553a0e6248234ed7d0925ff8e4daebae9c02c0201946b6157cc98a
- Size of remote file:
- 4.27 GB
- SHA256:
- 143ccc84d530316005571c39180d7bbdd9fa86eecd3860ea1abcc400ed196472
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