Instructions to use 8glabs/dream_shaper_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8glabs/dream_shaper_v6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8glabs/dream_shaper_v6", 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 8glabs/dream_shaper_v6: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/8glabs/dream_shaper_v6/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://8glabs/dream_shaper_v6/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/8glabs/dream_shaper_v6/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- da7abfe3e82000de226eab5e8716915086a1458828914f69d9afb926fa0e6ffa
- Size of remote file:
- 492 MB
- SHA256:
- 3ae1aace7168755ca2a97c4ca3d7838a9816a97ff12895258d1f4482e88a6a8e
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