Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use RobertoNeglia/pepe_generator_sd2base_reduced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertoNeglia/pepe_generator_sd2base_reduced with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RobertoNeglia/pepe_generator_sd2base_reduced") 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 image_0.png from RobertoNeglia/pepe_generator_sd2base_reduced: direct link, hf CLI and curl.
- Browser
- Download file 321 kB
-
https://huggingface.co/RobertoNeglia/pepe_generator_sd2base_reduced/resolve/main/image_0.png
- Command line
-
hf download hf://RobertoNeglia/pepe_generator_sd2base_reduced/image_0.png
-
curl -L -o image_0.png https://huggingface.co/RobertoNeglia/pepe_generator_sd2base_reduced/resolve/main/image_0.png
321 kB

- Xet hash:
- 7a575350d53f8accd9b39c2dd23a4901870bfb1daada2824dfe3f4332932d6c4
- Size of remote file:
- 321 kB
- SHA256:
- e3121bb69272843123cdbd0ba71ff1fba63a003b3bf6bf1d26d65bf88a3363f2
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