Instructions to use AI-future/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AI-future/test-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("AI-future/test-model", 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:
- e832caec32bc1c31a51e75b16a4cc0dce08eeab36b4e3f0373698dd279226cd5
- Size of remote file:
- 2.13 GB
- SHA256:
- fdc2f0065c14d348993b6c8ea509397ce0060b9fa4330819af076bd97725f6ac
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