Instructions to use diff-mining/g3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diff-mining/g3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diff-mining/g3", 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
- Draw Things
- DiffusionBee
- Xet hash:
- cc1c9b27c41ef6473344279077617ba03dd0c2e84ff70eae2b9697a04cb83b10
- Size of remote file:
- 492 MB
- SHA256:
- abeda486d75886f609fbb893875a7ee70ee19529bb78ebf1b54d04bb91eb57bd
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