Instructions to use stablediffusionapi/miasma4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/miasma4 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/miasma4", 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 stablediffusionapi/miasma4: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/miasma4/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/miasma4/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/miasma4/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- b39eaa2dfccfbe3d083951c865ee88dfa6a79ea4bf2b8ca90ae9a19fc4fd8b5d
- Size of remote file:
- 246 MB
- SHA256:
- 81a0c589ae2c7ba0052c2f6c29a29e41a314aea790415fd90ebc7fd2328db7d0
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