Instructions to use alc15492/retromdl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alc15492/retromdl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alc15492/retromdl", 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 alc15492/retromdl: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/alc15492/retromdl/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://alc15492/retromdl/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alc15492/retromdl/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 4b419e5304da4f9bee663ac3fbe1f9f73d4167b606f8f67615e1e756f0821246
- Size of remote file:
- 492 MB
- SHA256:
- 10e81cf5909a3b62ff43a914ae9c81f9ebce7ef6c64823c2337791b44ef65d88
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