Downloads · 30 days
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akshitapps/sandman-2.0
sandman-2.0 is a text-to-image model from akshitapps. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
Warning: This model is horny! Add "nude, naked" to the negative prompt if want to avoid NSFW.
Downloads · 30 days
6
19% of all-time downloads
All-time downloads
31
Public
Repo size
4.3 GB
Likes
1
Public
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.bin2.1 GB · 100%
From the Hugging Face model README
Warning: This model is horny! Add "nude, naked" to the negative prompt if want to avoid NSFW.
You can add photo to your prompt to make your gens look more photorealistic.
Non-square aspect ratios work better for some prompts. If you want a portrait photo, try using a vertical aspect ratio. If you want a landscape photo, try using a horizontal aspect ratio.
This model was trained on 768x768px images, so use 768x768px, 640x896px, 896x640px, etc. It also works pretty good with higher resolutions such as 768x1024px or 1024x768px.
You can use this model for free on dreamlike.art!
<img src="https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0/resolve/main/dreamlike.jpg" style="max-width: 1000px;" width="100%"/>Download dreamlike-photoreal-2.0.ckpt (2.13GB)
Download dreamlike-photoreal-2.0.safetensors (2.13GB)
This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion Pipeline.
from diffusers import StableDiffusionPipeline
import torch
model_id = "dreamlike-art/dreamlike-photoreal-2.0"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "photo, a church in the middle of a field of crops, bright cinematic lighting, gopro, fisheye lens"
image = pipe(prompt).images[0]
image.save("./result.jpg")
<img src="https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0/resolve/main/church.jpg" style="max-width: 640px;" width="100%"/>
This model is licesed under a modified CreativeML OpenRAIL-M license.