Instructions to use tony178/TT000006_FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tony178/TT000006_FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wednesday-Hargreeves/flux-dev-fp8", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tony178/TT000006_FP8") prompt = "portraiture,A perfectly lit portrait art photo of a young woman with dark hair,full body shot,white railings,serious expression,blurred background,sunny day,blue sky,woman wearing a blue dress with floral pattern,hair in loose curls,the mood of the whole picture is peaceful and serene," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
TT000006-fp8

- Prompt
- portraiture,A perfectly lit portrait art photo of a young woman with dark hair,full body shot,white railings,serious expression,blurred background,sunny day,blue sky,woman wearing a blue dress with floral pattern,hair in loose curls,the mood of the whole picture is peaceful and serene,
- Negative Prompt
- ng_deepnegative_v1_75t,(badhandv4:1.2),EasyNegative,(worst quality:2),nsfw,,nsfw
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for tony178/TT000006_FP8
Base model
Wednesday-Hargreeves/flux-dev-fp8