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", 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:
- 7eb16050891fd1a285b33a8a9d735c01abd9b5c144cbae9a87ba3256ccdbb1f1
- Size of remote file:
- 3.44 GB
- SHA256:
- f633c0f0e8b46b86c3e005ee2a6c4b47355a2b87d535303fbe98ec503756bec8
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