Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
Stable-Diffusion-Model
diffusion-models-class
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("MADZaMeR/stable_diffusion", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]This model is a diffusion model for text to image generation.
Usage
from diffusers import StableDiffusionPipeline
import torch
pipeline = StableDiffusionPipeline.from_pretrained('MADZaMeR/stable_diffusion', torch_dtype=torch.float16
).to("cuda" if torch.cuda.is_available() else "cpu")
prompt = "a photograph of an astronaut riding a horse"
image = pipeline(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
image
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