Instructions to use MediaWorld206/TwitchMW with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MediaWorld206/TwitchMW with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MediaWorld206/TwitchMW") prompt = "dedede" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
TwitchMW

- Prompt
- dedede

- Prompt
- happy

- Prompt
- happy1

- Prompt
- excited

- Prompt
- excited1

- Prompt
- surprised

- Prompt
- dream

- Prompt
- crazy

- Prompt
- scary

- Prompt
- laugh

- Prompt
- laugh1

- Prompt
- hopeful

- Prompt
- excited1

- Prompt
- excited2

- Prompt
- laugh1

- Prompt
- laugh2

- Prompt
- laugh3

- Prompt
- funny1

- Prompt
- funny

- Prompt
- crazy1

- Prompt
- nuts
Model description
Trigger words
You should use twitch to trigger the image generation.
You should use tmw to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for MediaWorld206/TwitchMW
Base model
runwayml/stable-diffusion-v1-5



















