Instructions to use redstonehero/yesmix_v20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use redstonehero/yesmix_v20 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("redstonehero/yesmix_v20", 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 redstonehero/yesmix_v20: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/redstonehero/yesmix_v20/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://redstonehero/yesmix_v20/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/redstonehero/yesmix_v20/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 89acb45d7c2990d1a4199bf60ac3b0bca8e6b02a339ff08192f868a0a2e41a30
- Size of remote file:
- 492 MB
- SHA256:
- 70ab7797c1f3b5bfe7c37395232fcebd3996e2bb304848c12952fdc08b1c70b8
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