Instructions to use DesignAndProd/FAD_V0_768_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DesignAndProd/FAD_V0_768_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("DesignAndProd/FAD_V0_768_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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from DesignAndProd/FAD_V0_768_Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/DesignAndProd/FAD_V0_768_Diffusers/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://DesignAndProd/FAD_V0_768_Diffusers/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DesignAndProd/FAD_V0_768_Diffusers/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- d2a679cd323c69665977bac6a2dd0e84bd320a8fce1ed9e81b1c18b55dab18a6
- Size of remote file:
- 492 MB
- SHA256:
- f9b3e78df44c12f39888b203b3590f79164212e540cd559d19b664343b7280df
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