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", 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:
- b73f531a847bcda2894704e4e8599ba5af9e62010482617d6ad0ea82fce5df7a
- Size of remote file:
- 47.7 MB
- SHA256:
- 56539d51064ba8bc60e1745ae7bc44b1a33e64fe6bd05bb3b643367690b1f5ae
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