Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/SweetMuse_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/SweetMuse_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/SweetMuse_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 text_encoder/pytorch_model.fp16.bin from digiplay/SweetMuse_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/digiplay/SweetMuse_diffusers/resolve/main/text_encoder/pytorch_model.fp16.bin
- Command line
-
hf download hf://digiplay/SweetMuse_diffusers/text_encoder/pytorch_model.fp16.bin
-
curl -L -o pytorch_model.fp16.bin https://huggingface.co/digiplay/SweetMuse_diffusers/resolve/main/text_encoder/pytorch_model.fp16.bin
246 MB
- Xet hash:
- ea193e8dfbeb7435ff13149b350093b54fa4e143871ba56ad2525e8d872668ee
- Size of remote file:
- 246 MB
- SHA256:
- ef5fce6b68321d7f89394db493f68ada5eb812d0a55fed50afd53806b4adccb9
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