Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use ahmed-3m/DM_lora_zer0p_unet_binary_class_labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ahmed-3m/DM_lora_zer0p_unet_binary_class_labels 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("ahmed-3m/DM_lora_zer0p_unet_binary_class_labels") 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
Download checkpoint-2000/optimizer.bin from ahmed-3m/DM_lora_zer0p_unet_binary_class_labels: direct link, hf CLI and curl.
- Browser
- Download file 3.4 MB
-
https://huggingface.co/ahmed-3m/DM_lora_zer0p_unet_binary_class_labels/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://ahmed-3m/DM_lora_zer0p_unet_binary_class_labels/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ahmed-3m/DM_lora_zer0p_unet_binary_class_labels/resolve/main/checkpoint-2000/optimizer.bin
3.4 MB
- Xet hash:
- 8ba7e5a6b8ab6036e81b89144dd114dd3a74b9ac486ec89b4f3060700d015090
- Size of remote file:
- 3.4 MB
- SHA256:
- a3d6b33eb7368b9ff3a82590960c72b977b028692243e48e8f4789ebe0cf46fc
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