Instructions to use Changg/sampled_num_3_0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Changg/sampled_num_3_0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Changg/sampled_num_3_0.1") prompt = "A monadikos animal on a table A animal in anime illustration style on a table" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- c429f8e8b7a788c793cfc54813ffd768ac0e183096e037b6fd0494f4d2af96d7
- Size of remote file:
- 386 MB
- SHA256:
- a15a9c265e156889de5efdf39fcf659e338fda5c9f5a8249375dddbddcb258b5
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