Instructions to use dg845/unidiffuser-diffusers-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/unidiffuser-diffusers-test 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/unidiffuser-diffusers-test", 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
Commit History
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Upload 22 files
Add new checkpoint files (rename image_processor to clip_image_processor)4ba8a84
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Upload 2 files
Add new CLIPVisionModelWithProjection image_encoder (update image_encoder from CLIPVisionModel to CLIPVisionModelWithProjection)8e849e2 -
Delete image_encoder
Remove outdated image_encoder checkpoint (update image_encoder from CLIPVisionModel to CLIPVisionModelWithProjection)f378757
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Upload 18 files
Upload small random models for testing the UniDiffuserPipeline186bc31