Instructions to use aipicasso/emi-2-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aipicasso/emi-2-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aipicasso/emi-2-5", 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/model.safetensors from aipicasso/emi-2-5: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/aipicasso/emi-2-5/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://aipicasso/emi-2-5/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/aipicasso/emi-2-5/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- 6dc5e4dfd5478830f61769aa9c821ff01090dc7a489c32512cf31b5ebb532037
- Size of remote file:
- 246 MB
- SHA256:
- 03532a1b8bb2f02b16b9b290273caf9c8793a0a268517c104eee30f7d1829120
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