License: NoobAI-XL License (Modified Fair AI Public License 1.0-SD)
You MUST share the merge recipe if you release a model merged with noob_v_pencil-XL.
This license prohibits any form of commercialization.
For more details, please see the license section of NoobAI-XL model page.
Please see the "About this Version" section for information on each version.
Sampling method: Euler
/Euler a
(Other sampling methods are not supported by this v-prediction model.)
Schedule Type: Automatic
CFG: 5
Prompt: masterpiece, best quality, newest
Negative Prompt: worst quality, bad quality, old, early
noob_v_pencil-XL is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user blue_pen5805. Derived from the powerful Stable Diffusion (Illustrious) model, noob_v_pencil-XL has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that noob_v_pencil-XL is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, base model, woman.
With a rating of 0 and over 0 ratings, noob_v_pencil-XL is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of noob_v_pencil-XL from here.
To use noob_v_pencil-XL, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like noob_v_pencil-XL, check out our crash course in AI image generation.
NoobAI-XL (NAI-XL) V-Pred-0.75S-Version Based
# Tools
# Checkpoints
# Recipe
Merge using sd-mecha for ComfyUI
.
# sd-mecha format recipe
model "sdxl\noob_v_pencil-XL-v0.5.0.safetensors" "sdxl" "base"
model "sdxl\noob_v_pencil-XL-0.75s.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_epsilonPred10Version.safetensors" "sdxl" "base"
merge "clamped_add_opposite" &0 &1 &2 alpha=1.0
model "sdxl\noob_v_pencil-XL-v0.3.0.safetensors" "sdxl" "base"
model "sdxl\noobaiXLNAIXL_vPred065SVersion.safetensors" "sdxl" "base"
merge "clamped_add_opposite" &3 &4 &5 alpha=1.0
model "sdxl\noobaiXLNAIXL_vPred075SVersion.safetensors" "sdxl" "base"
merge "add_cosine_b" &6 &7 alpha=0.05
Add v_pred
and ztsnr
keys.
# Python Script
BASE_MODEL_NAME = "noob_v_pencil-XL-v0.5.1"
tensors = {}
with safe_open(BASE_MODEL_NAME + "-base.safetensors", framework="pt", device="cpu") as f:
for key in f.keys():
tensors[key] = f.get_tensor(key)
tensors["v_pred"] = torch.tensor([0.0])
tensors["ztsnr"] = torch.tensor([0.0])
save_file(tensors, BASE_MODEL_NAME + ".safetensors")
Go ahead and upload yours!
Your query returned no results – please try removing some filters or trying a different term.