Text-to-Image
Diffusers
UniDiffuserPipeline
image-to-text
image-captioning
image-variation
text-variation
multi-modality
generative model
Instructions to use dg845/unidiffuser-diffusers-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/unidiffuser-diffusers-v0 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-v0", 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
Download text_encoder/pytorch_model.bin from dg845/unidiffuser-diffusers-v0: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/dg845/unidiffuser-diffusers-v0/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://dg845/unidiffuser-diffusers-v0/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dg845/unidiffuser-diffusers-v0/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 1da1d4886a1fd88acf41f4b0c94f9092e7bfdf4cda2b3cb29c3771175ae27ebf
- Size of remote file:
- 492 MB
- SHA256:
- 98124f3d5663b2f14ff08d4c29db93800622b4fcfa3d952bb6f9112f5d6dadd7
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