Instructions to use CLIPP/finetuned_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CLIPP/finetuned_generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CLIPP/finetuned_generator", 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:
- 17246c9fab6f15e50404bd6f56809c4601720c230eb066731a7e01cb0946fced
- Size of remote file:
- 492 MB
- SHA256:
- 038ae37149952ec17aaccda05342041c670fe66194bcb6d87c20a2c8f6643d69
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