Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/majicMIXfantasy_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/majicMIXfantasy_v2 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/majicMIXfantasy_v2", 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 digiplay/majicMIXfantasy_v2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/digiplay/majicMIXfantasy_v2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://digiplay/majicMIXfantasy_v2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/digiplay/majicMIXfantasy_v2/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 692b7815681b6ea70b08ea432072b035d8ed337305fdc2035679b4acd1069a3b
- Size of remote file:
- 492 MB
- SHA256:
- 9cc4bef5991b97df30e398eef1bfb7dc4f42845a266752449bd4807fde66c23d
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