Instructions to use segmind/tiny-sd-mxfinetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use segmind/tiny-sd-mxfinetune with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("segmind/tiny-sd-mxfinetune", 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 unet/diffusion_pytorch_model.bin from segmind/tiny-sd-mxfinetune: direct link, hf CLI and curl.
- Browser
- Download file 1.29 GB
-
https://huggingface.co/segmind/tiny-sd-mxfinetune/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://segmind/tiny-sd-mxfinetune/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/segmind/tiny-sd-mxfinetune/resolve/main/unet/diffusion_pytorch_model.bin
1.29 GB
- Xet hash:
- 58cace32aad832aec712b31c6fc045e0fba0b2cd28721984c8f8ee9e50a8d780
- Size of remote file:
- 1.29 GB
- SHA256:
- 2cf51f96aeb5a29d4d29fa1a6367a1a051db0d2290b1f7e41ae0ca93a45b7386
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