Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
template:sd-lora
sd3.5-large
sd3.5
sd3.5-diffusers
Instructions to use nm9404/ilus_4_prompt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nm9404/ilus_4_prompt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nm9404/ilus_4_prompt") prompt = "meli icon or illustration of a dog, white_background, meli_style, meli_figure, yellow_theme" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1500/optimizer.bin from nm9404/ilus_4_prompt: direct link, hf CLI and curl.
- Browser
- Download file 47.7 MB
-
https://huggingface.co/nm9404/ilus_4_prompt/resolve/main/checkpoint-1500/optimizer.bin
- Command line
-
hf download hf://nm9404/ilus_4_prompt/checkpoint-1500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/nm9404/ilus_4_prompt/resolve/main/checkpoint-1500/optimizer.bin
47.7 MB
- Xet hash:
- 7aa08a8a8e858e7e2bbee1b2b0d64c504b7b5b12a10d8720a9ac95b8fde9d693
- Size of remote file:
- 47.7 MB
- SHA256:
- 33a9c5988596c3c46bed7bd4d651c315966e22bb3a20b778d9b208d802096374
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