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.fp16.bin from Yntec/lametta: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/Yntec/lametta/resolve/main/unet/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/lametta/unet/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/lametta/resolve/main/unet/diffusion_pytorch_model.fp16.bin
1.72 GB
- Xet hash:
- 069fae5d369e8cf51a1e9bce1e66b1b8c3590d25a21334c6f8e1b4f6f11d140d
- Size of remote file:
- 1.72 GB
- SHA256:
- 3b1d9bf579c344bd61eb3d4b25171f2e89a360d1c9b67e99dcf4bc6648bf615d
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