Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use RiddleHe/SD14_pathology_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RiddleHe/SD14_pathology_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RiddleHe/SD14_pathology_lora") 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

- Xet hash:
- e975484fe1dc54c02e09741542a70bdd161b1ff094353b89735a7f1db8b19d76
- Size of remote file:
- 489 kB
- SHA256:
- 16b182eb3c333e5c46b427c9be1c5a5566697f43f6e136530d71c64cf647bb78
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