import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("emilianJR/NeverEndingDream", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Diffuser model for this SD checkpoint: https://civitai.com/models/10028/neverending-dream-ned
emilianJR/NeverEndingDream is the HuggingFace diffuser that you can use with diffusers.StableDiffusionPipeline().
| Examples | Examples | Examples |
|---|---|---|
 |
,%20best%20quality,%20beautiful%20lighting,__(ulzzang-6500_0.5),%20makima%20_(chainsaw%20man_),%20(red%20hair)+(l.jpeg) |
 |
 |
 |
 |
🧨 Diffusers
This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion.
from diffusers import StableDiffusionPipeline
import torch
model_id = "emilianJR/NeverEndingDream"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "YOUR PROMPT"
image = pipe(prompt).images[0]
image.save("image.png")
License
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies: Please read the full license here
- Downloads last month
- -