Instructions to use chamuditha4/test22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chamuditha4/test22 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("chamuditha4/test22", 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 chamuditha4/test22: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/chamuditha4/test22/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://chamuditha4/test22/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/chamuditha4/test22/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- f9258446175af2c7a4cfb1fb60ee66f02a44df3a2550a09eb8c597f45691e288
- Size of remote file:
- 246 MB
- SHA256:
- f79bec2680258e5782376bce862507670c142330b21f3a0426522157310c3383
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