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-1000/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-1000/optimizer.bin
- Command line
-
hf download hf://nm9404/ilus_4_prompt/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/nm9404/ilus_4_prompt/resolve/main/checkpoint-1000/optimizer.bin
47.7 MB
- Xet hash:
- a24cff82640ac09ab6ed0e8a31a2030ccfa1eb4162d87c942ebc63813567f882
- Size of remote file:
- 47.7 MB
- SHA256:
- d6d951f6b50a22554df388af85156bfd1870fe65ab1bbc94945b1d3bb40ba220
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