Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Chibi
Adorable
stable-diffusion
stable-diffusion-diffusers
Lasorco
Safetensors
Instructions to use Yntec/lametta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/lametta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/lametta", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from Yntec/lametta: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Yntec/lametta/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/lametta/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/lametta/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 7ffede6c64d2cd597824ffcc437f65da96f65cb0ca406cec29b4a011b54798a4
- Size of remote file:
- 3.44 GB
- SHA256:
- 9db5ec0feca6cfdb840b4b341bb42147d28b7a3dafd42a10777b6c8bccf5399d
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