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
| { | |
| "confidence_threshold": 0.005, | |
| "eos_token_id": [ | |
| 1, | |
| 106, | |
| 50 | |
| ], | |
| "max_denoising_steps": 48, | |
| "max_new_tokens": 256, | |
| "pad_token_id": 0, | |
| "return_dict_in_generate": true, | |
| "sampler_config": { | |
| "_cls_name": "EntropyBoundSamplerConfig", | |
| "entropy_bound": 0.1 | |
| }, | |
| "stability_threshold": 1, | |
| "t_max": 0.8, | |
| "t_min": 0.4, | |
| "transformers_version": "5.13.0.dev0" | |
| } | |