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_feedback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nm9404/ilus_4_feedback 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nm9404/ilus_4_feedback") 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
- Xet hash:
- deb7aaf2077485de83c7af88b1ccae110e714cf05ae839fa01f1a3316dc49c0b
- Size of remote file:
- 47.7 MB
- SHA256:
- 33a16b0aee403cc8a56507850a4825941d07d724d504d4ad91a5a2c7ce2c8740
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