Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
Stable-Diffusion-Model
diffusion-models-class
Instructions to use MADZaMeR/stable_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MADZaMeR/stable_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MADZaMeR/stable_diffusion", 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
- Draw Things
- DiffusionBee
Upload README.md with huggingface_hub
Browse files
README.md
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```python
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from diffusers import StableDiffusionPipeline
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pipeline = StableDiffusionPipeline.from_pretrained('MADZaMeR/stable_diffusion'
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prompt = "a photograph of an astronaut riding a horse"
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image = pipeline(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
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image
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```python
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from diffusers import StableDiffusionPipeline
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pipeline = StableDiffusionPipeline.from_pretrained('MADZaMeR/stable_diffusion', torch_dtype=torch.float16
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).to("cuda" if torch.cuda.is_available() else "cpu")
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prompt = "a photograph of an astronaut riding a horse"
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image = pipeline(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
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image
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