Instructions to use impactframes/Envision3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use impactframes/Envision3D with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("impactframes/Envision3D", 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
- Xet hash:
- 12a5cfc2caec97d2f0641349b99c1f4bf16d40d128f9d87fb174dd9b241a02e3
- Size of remote file:
- 391 MB
- SHA256:
- 5d92aa595a53d9da9faf594f09910ee869d5d567c8bb0362d5095673c69997d6
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