Instructions to use dpredrag/AiGeneratorModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dpredrag/AiGeneratorModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dpredrag/AiGeneratorModel", 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 dpredrag/AiGeneratorModel: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/dpredrag/AiGeneratorModel/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://dpredrag/AiGeneratorModel/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dpredrag/AiGeneratorModel/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- 6853d82bae1889ece41047e0d87564c9dc51eb9e1ec361c5ce6744e5f7faeacf
- Size of remote file:
- 246 MB
- SHA256:
- 904c790d94d5d8d1aa5122aaa21c3305c692baff990ba511581104a8c4a7cdc3
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