Instructions to use Fred99774/kalssa1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fred99774/kalssa1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fred99774/kalssa1", 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 Fred99774/kalssa1: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Fred99774/kalssa1/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Fred99774/kalssa1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Fred99774/kalssa1/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- d746f15c888ed1cab29542d902eb0f126384f4e880792513816cfe80588296c0
- Size of remote file:
- 246 MB
- SHA256:
- 4158a3a500be2bf095e093dc35d9cdbffcb551504a6a7d6b8988769910b020b1
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