Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use ovedrive/stable-diffusion-v1-4-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovedrive/stable-diffusion-v1-4-nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ovedrive/stable-diffusion-v1-4-nf4", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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extra_gated_heading: Please read the LICENSE to access this model
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# Stable Diffusion v1-4 Model Card
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Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.
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extra_gated_heading: Please read the LICENSE to access this model
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Ovedrive version BNB nf4
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Only the Unet file `diffusion_pytorch_model.safetensors` is needed. other variations were not touched.
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# Stable Diffusion v1-4 Model Card
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Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.
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