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
Add Prompt
Browse files
README.md
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- diffusers
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- template:sd-lora
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widget:
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: null
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license: unknown
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- diffusers
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- template:sd-lora
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widget:
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- text: Dog, Realistic, 4k, 8k
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: null
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license: unknown
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