Instructions to use RickSanchez2020/Emma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RickSanchez2020/Emma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RickSanchez2020/Emma", 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 model_index.json from RickSanchez2020/Emma: direct link, hf CLI and curl.
- Browser
- Download file 42 Bytes
-
https://huggingface.co/RickSanchez2020/Emma/resolve/main/model_index.json
- Command line
-
hf download hf://RickSanchez2020/Emma/model_index.json
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curl -L -o model_index.json https://huggingface.co/RickSanchez2020/Emma/resolve/main/model_index.json
42 Bytes
| {"_class_name": "StableDiffusionPipeline"} |