Instructions to use akshan-main/tiny-diffusion-gemma-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akshan-main/tiny-diffusion-gemma-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("akshan-main/tiny-diffusion-gemma-modular-pipe", 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
File size: 1,145 Bytes
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"_blocks_class_name": "DiffusionGemmaBlocks",
"_class_name": "DiffusionGemmaModularPipeline",
"_diffusers_version": "0.41.0.dev0",
"model": [
"transformers",
"DiffusionGemmaForBlockDiffusion",
{
"pretrained_model_name_or_path": "akshan-main/tiny-diffusion-gemma-modular-pipe",
"revision": null,
"subfolder": "model",
"type_hint": [
"transformers",
"DiffusionGemmaForBlockDiffusion"
],
"variant": null
}
],
"processor": [
"transformers",
"Gemma4Processor",
{
"pretrained_model_name_or_path": "akshan-main/tiny-diffusion-gemma-modular-pipe",
"revision": null,
"subfolder": "processor",
"type_hint": [
"transformers",
"Gemma4Processor"
],
"variant": null
}
],
"scheduler": [
"diffusers",
"BlockRefinementScheduler",
{
"pretrained_model_name_or_path": "akshan-main/tiny-diffusion-gemma-modular-pipe",
"revision": null,
"subfolder": "scheduler",
"type_hint": [
"diffusers",
"BlockRefinementScheduler"
],
"variant": null
}
]
}
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