Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use DiogoF/Codenames-10000-Text-Encoding-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DiogoF/Codenames-10000-Text-Encoding-V1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DiogoF/Codenames-10000-Text-Encoding-V1", dtype=torch.bfloat16, device_map="cuda") prompt = "the <codenames> style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5fcd17038d57a18b27392abd57646319b54678892baee5635758cd2cf7a1895e
- Size of remote file:
- 492 MB
- SHA256:
- 85b45d17191b6d382bc4863d473b406848538a363f70974500cd46028ea92fcb
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