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:
- e323214034313cc740b4d836e3f6af816de48036d29a9f832b0c55a1711fb27d
- Size of remote file:
- 47.7 MB
- SHA256:
- b540eed93a8c8eb248f21b9b207de967fd38f1f139ffd4d694c1f44fea1357d2
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