Instructions to use GamerC0der/MiniDiffusion1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GamerC0der/MiniDiffusion1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("GamerC0der/MiniDiffusion1") prompt = "Dog, Realistic, 4k, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
SafeTensors
Browse files
lora.TA_trained.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc3a25164c85b499a55a5c27980bbf3af3c8dc9ece90bd8d035c3226ffdc3a4c
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size 75615264
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