Instructions to use GraydientPlatformAPI/yesmix25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/yesmix25 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/yesmix25", 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_2/model.safetensors from GraydientPlatformAPI/yesmix25: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/GraydientPlatformAPI/yesmix25/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/yesmix25/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/yesmix25/resolve/main/text_encoder_2/model.safetensors
1.39 GB
- Xet hash:
- 7c96b605b2850406d3411cceb074822e81caebc979f64c00db03939919eaebde
- Size of remote file:
- 1.39 GB
- SHA256:
- be446d2dbee42e8ac8804e0713e42123f654a13c2f20038150132f8d089c5ada
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