Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/bra_v40_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/bra_v40_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("digiplay/bra_v40_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 vae/diffusion_pytorch_model.safetensors from digiplay/bra_v40_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/digiplay/bra_v40_diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://digiplay/bra_v40_diffusers/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/digiplay/bra_v40_diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 6ae8ef1acb987596adc79985e18023c123900c01c7c75af339180032e982a44c
- Size of remote file:
- 335 MB
- SHA256:
- cf8d034220b720302ec0bfb0ead32b66aa3425da41778da5a9c9e3de5297d015
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