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-6000/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-6000/optimizer.bin
- Command line
-
hf download hf://ahmed-3m/DM_lora_zer0p_unet_binary_class_labels/checkpoint-6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ahmed-3m/DM_lora_zer0p_unet_binary_class_labels/resolve/main/checkpoint-6000/optimizer.bin
3.4 MB
- Xet hash:
- f4a8f3321f3dc9fea2722e52151520f590e1318f18272ed2ff6c9ea401bf07a2
- Size of remote file:
- 3.4 MB
- SHA256:
- 6efe6ad6317cdd18c9421023d6e1d23aa7404c682df6e4f3050cced587fc15b8
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