Lol it is note possible what a joke. Notably this makes it harder to have of a superior third party password manager like Proton Pass (though there seems to be an autocomplete app as an alternative path), and an ad blocker. Fuck Google.
Also, Chromium is not available on Google Play by default, you can install the apk, but you will miss updates:
Official demos: github.com/KhronosGroup/glTF-Sample-Assets These are visible at: github.khronos.org/glTF-Sample-Viewer-Release/ with a JavaScript viewer present at: github.com/KhronosGroup/glTF-Sample-Viewer TODO can you load models on the web?
Supports animations, e.g.:
gltf-viewer.donmccurdy.com/ is based on doesn't work with those examples because they have separate asset files.
f3d just worked for it.
Richard Bates (Silk Road advisor and Ross' friend) by
Ciro Santilli 35 Updated 2025-04-18 +Created 1970-01-01
He testified against Ross: arstechnica.com/tech-policy/2015/01/friend-who-helped-ulbricht-build-silk-road-testifies-against-him/
youtu.be/HBTYVVUBAGs?t=178 claims to contain a photo of him without source. He has no easy to find online profiles.
Variety Jones: IRL, is there anyone with a clue at all? A girlfriend, boyfriend, buddy you talk to, etc?myself: Unfortunately yes, there are two but they think I sold the site and got out, and they're quite convinced of it.
When they disabled this from Chromium, it was one of the things that prompted Ciro Santilli to switch to Proton Pass.
Ross Ulbricht told her about Silk Road, but then later said he had sold the website to someone else, without really doing that.
- LinkedIn profile: www.linkedin.com/in/julia-vie-35296959/
- Twitter profile: twitter.com/destenyrangel
Full name Carl Mark Force IV, the fourth! As mentioned at www.vice.com/en/article/vv7dgj/great-moments-in-shaun-bridges-a-corrupt-silk-road-investigator (this made Ciro Santilli laugh quite hard:
Carl Mark Force IV - the other corrupt cop charged alongside Bridges - is pretty hard to beat, just name-wise.
Someone should package this better for end user "just works after Conda install" image generation, it is currently much more of a library setup.
Tested on Amazon EC2 on a g5.xlarge machine, which has an Nvidia A10G, using the AWS Deep Learning Base GPU AMI (Ubuntu 20.04) image.
First install Conda as per Section "Install Conda on Ubuntu", and then just follow the instructions from the README, notably the Reference sampling script section.This took about 2 minutes and generated 6 images under
git clone https://github.com/runwayml/stable-diffusion
cd stable-diffusion/
git checkout 08ab4d326c96854026c4eb3454cd3b02109ee982
conda env create -f environment.yaml
conda activate ldm
mkdir -p models/ldm/stable-diffusion-v1/
wget -O models/ldm/stable-diffusion-v1/model.ckpt https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt
python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms
outputs/txt2img-samples/samples
, includining an image outputs/txt2img-samples/grid-0000.png
which is a grid montage containing all the six images in one:A quick attempt at removing their useless safety features (watermark and NSFW text filter) is:but that produced 4 black images and only two unfiltered ones. Also likely the lack of sexual training data makes its porn suck, and not in the good way.
diff --git a/scripts/txt2img.py b/scripts/txt2img.py
index 59c16a1..0b8ef25 100644
--- a/scripts/txt2img.py
+++ b/scripts/txt2img.py
@@ -87,10 +87,10 @@ def load_replacement(x):
def check_safety(x_image):
safety_checker_input = safety_feature_extractor(numpy_to_pil(x_image), return_tensors="pt")
x_checked_image, has_nsfw_concept = safety_checker(images=x_image, clip_input=safety_checker_input.pixel_values)
- assert x_checked_image.shape[0] == len(has_nsfw_concept)
- for i in range(len(has_nsfw_concept)):
- if has_nsfw_concept[i]:
- x_checked_image[i] = load_replacement(x_checked_image[i])
+ #assert x_checked_image.shape[0] == len(has_nsfw_concept)
+ #for i in range(len(has_nsfw_concept)):
+ # if has_nsfw_concept[i]:
+ # x_checked_image[i] = load_replacement(x_checked_image[i])
return x_checked_image, has_nsfw_concept
@@ -314,7 +314,7 @@ def main():
for x_sample in x_checked_image_torch:
x_sample = 255. * rearrange(x_sample.cpu().numpy(), 'c h w -> h w c')
img = Image.fromarray(x_sample.astype(np.uint8))
- img = put_watermark(img, wm_encoder)
+ # img = put_watermark(img, wm_encoder)
img.save(os.path.join(sample_path, f"{base_count:05}.png"))
base_count += 1
City of Light: The Story of Fiber Optics by
Ciro Santilli 35 Updated 2025-04-18 +Created 1970-01-01
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