Instructions to use j-min/IterInpaint-CLEVR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use j-min/IterInpaint-CLEVR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("j-min/IterInpaint-CLEVR", 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:
- 80a7b163b8cdd18f7a810edf2a35be764d66a86a2377adb2e50fc2e5a922f859
- Size of remote file:
- 3.44 GB
- SHA256:
- 4bbe39db1ddb6eec8c65b6216f5377f415ccae05fb1a595f70b7b54813f6dbc5
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