Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/BrickAndMortarMix_v2.0_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/BrickAndMortarMix_v2.0_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/BrickAndMortarMix_v2.0_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.bin from digiplay/BrickAndMortarMix_v2.0_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/digiplay/BrickAndMortarMix_v2.0_diffusers/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://digiplay/BrickAndMortarMix_v2.0_diffusers/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/digiplay/BrickAndMortarMix_v2.0_diffusers/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- bd4ba3fbe5ba57d59e159c9513c649c20a87e3bedc740322c18dc09acb4ad0ba
- Size of remote file:
- 335 MB
- SHA256:
- bb7e64298a105439734d4d53c6e6d6279d332f411a6a5c8a488f38e008065090
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