Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/majicmix-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/majicmix-v7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/majicmix-v7", 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 unet/diffusion_pytorch_model.bin from stablediffusionapi/majicmix-v7: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/stablediffusionapi/majicmix-v7/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/majicmix-v7/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/majicmix-v7/resolve/main/unet/diffusion_pytorch_model.bin
1.72 GB
- Xet hash:
- 3f2240e4fe611a015b3683853ea3717ff6d4681a2ff66fde73587ca6bcec2bc2
- Size of remote file:
- 1.72 GB
- SHA256:
- beb2f3eb134c2dacbf85612de7f7df7e522c0a2861076b66fca75c1a493c2d36
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