Instructions to use DaveLoay/Riffusion_FineTuning_Tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DaveLoay/Riffusion_FineTuning_Tutorial with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DaveLoay/Riffusion_FineTuning_Tutorial", 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 DaveLoay/Riffusion_FineTuning_Tutorial: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/DaveLoay/Riffusion_FineTuning_Tutorial/resolve/d3086dc8d4de2da86cb5c8b3c197cb440d7481c9/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://DaveLoay/Riffusion_FineTuning_Tutorial@d3086dc8d4de2da86cb5c8b3c197cb440d7481c9/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DaveLoay/Riffusion_FineTuning_Tutorial/resolve/d3086dc8d4de2da86cb5c8b3c197cb440d7481c9/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 1efdc7d4d23221aedbb36d3d3cd84ad900b9cc138cedcfa1f3566cd488365597
- Size of remote file:
- 246 MB
- SHA256:
- 6a34f30098988d85dc0fb0fc272a842ebcf552e2ebc6ce4adbcf3695d08e8a90
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