Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
StableDiffusionPipeline
medical
ChestXray
Instructions to use BinhNT03/MyCustomSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BinhNT03/MyCustomSD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BinhNT03/MyCustomSD", 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
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Download README.md from BinhNT03/MyCustomSD: direct link, hf CLI and curl.
- Browser
- Download file 185 Bytes
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https://huggingface.co/BinhNT03/MyCustomSD/resolve/main/README.md
- Command line
-
hf download hf://BinhNT03/MyCustomSD/README.md
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curl -L -o README.md https://huggingface.co/BinhNT03/MyCustomSD/resolve/main/README.md
185 Bytes
| license: mit | |
| language: | |
| - en | |
| pipeline_tag: text-to-image | |
| library_name: diffusers | |
| tags: | |
| - StableDiffusionPipeline | |
| - medical | |
| - ChestXray | |
| base_model: | |
| - CompVis/stable-diffusion-v1-4 | |