Instructions to use EdenY91/my_fal_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EdenY91/my_fal_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("EdenY91/my_fal_model") prompt = "一张超写实的椒盐色雪纳瑞犬照片,自然明亮的户外光线,浅景深(背景虚化),眼睛和标志性的胡须细节极其清晰锐利,毛发纹理丰富逼真。狗狗嘴巴张开微笑吐出舌头,头朝向左前方坐着,全身,电影级颗粒感,简单背景,原生照片质感,8k超高清分辨率" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
Schnauzer_Style_05

- Prompt
- 一张超写实的椒盐色雪纳瑞犬照片,自然明亮的户外光线,浅景深(背景虚化),眼睛和标志性的胡须细节极其清晰锐利,毛发纹理丰富逼真。狗狗嘴巴张开微笑吐出舌头,头朝向左前方坐着,全身,电影级颗粒感,简单背景,原生照片质感,8k超高清分辨率
Trigger words
You should use schnauzer_dog to trigger the image generation.
Download model
Download them in the Files & versions tab.
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