Instructions to use dg845/DiffusionGemma-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/DiffusionGemma-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dg845/DiffusionGemma-diffusers", 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
File size: 209 Bytes
d6b5c7e | 1 2 3 4 5 6 7 8 9 10 | {
"_class_name": "BlockRefinementScheduler",
"_diffusers_version": "0.39.0.dev0",
"block_length": 32,
"editing_threshold": null,
"minimal_topk": 1,
"num_inference_steps": 32,
"threshold": 0.95
}
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