Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/BreakDro_i1464 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/BreakDro_i1464 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/BreakDro_i1464", 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.bin from digiplay/BreakDro_i1464: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/digiplay/BreakDro_i1464/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://digiplay/BreakDro_i1464/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/digiplay/BreakDro_i1464/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 9335da42a11ddb49801cf6246e22ee7648b447dea39c931b296f73c05b59fc9c
- Size of remote file:
- 335 MB
- SHA256:
- 28ead7ba238eb5c40e7c3cff58025c7c96ee5870c52f5f5eb8bc2d5794cb3885
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