Text-to-Image
Diffusers
Safetensors
English
LensPipeline
smd
lens
diffusion-distillation
lora
few-step
image-generation
4-step
Instructions to use zjwfufu/SMD-Lens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zjwfufu/SMD-Lens with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zjwfufu/SMD-Lens") 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 base/text_encoder/generation_config.json from zjwfufu/SMD-Lens: direct link, hf CLI and curl.
- Browser
- Download file 171 Bytes
-
https://huggingface.co/zjwfufu/SMD-Lens/resolve/main/base/text_encoder/generation_config.json
- Command line
-
hf download hf://zjwfufu/SMD-Lens/base/text_encoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/zjwfufu/SMD-Lens/resolve/main/base/text_encoder/generation_config.json
171 Bytes
| { | |
| "bos_token_id": 199998, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 200002, | |
| 199999, | |
| 200012 | |
| ], | |
| "pad_token_id": 199999, | |
| "transformers_version": "5.8.0" | |
| } | |